#AI Systems
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Snow white Ai Genarated
#disney#ai#ai generated#ai powered authoring tool#ai systems#snow white#amazing#video#weird#strange#my video
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Ethics of autonomous weapons systems and its applicability to any AI systems
Highlights • Dual use of AI implies that tools designed for good be used as weapons and the need to regulate them from that perspective. • Tools which may affect people′s freedom should be treated as a weapon and be subject to International Humanitarian Law. • A freeze in investigations is neither possible nor desired, nor is the maintenance of the current status quo. • The key ethical principles are that the way algorithms work is understood and the humans retain enough control. • All artificial intelligence developments should take into account possible military uses of the technology from inception.
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Beyond Chain-of-Thought: How Thought Preference Optimization is Advancing LLMs
New Post has been published on https://thedigitalinsider.com/beyond-chain-of-thought-how-thought-preference-optimization-is-advancing-llms/
Beyond Chain-of-Thought: How Thought Preference Optimization is Advancing LLMs
A groundbreaking new technique, developed by a team of researchers from Meta, UC Berkeley, and NYU, promises to enhance how AI systems approach general tasks. Known as “Thought Preference Optimization” (TPO), this method aims to make large language models (LLMs) more thoughtful and deliberate in their responses.
The collaborative effort behind TPO brings together expertise from some of the leading institutions in AI research.
The Mechanics of Thought Preference Optimization
At its core, TPO works by encouraging AI models to generate “thought steps” before producing a final answer. This process mimics human cognitive processes, where we often think through a problem or question before articulating our response.
The technique involves several key steps:
The model is prompted to generate thought steps before answering a query.
Multiple outputs are created, each with its own set of thought steps and final answer.
An evaluator model assesses only the final answers, not the thought steps themselves.
The model is then trained through preference optimization based on these evaluations.
This approach differs significantly from previous techniques, such as Chain-of-Thought (CoT) prompting. While CoT has been primarily used for math and logic tasks, TPO is designed to have broader utility across various types of queries and instructions. Furthermore, TPO doesn’t require explicit supervision of the thought process, allowing the model to develop its own effective thinking strategies.
Another key difference is that TPO overcomes the challenge of limited training data containing human thought processes. By focusing the evaluation on the final output rather than the intermediate steps, TPO allows for more flexible and diverse thinking patterns to emerge.
Experimental Setup and Results
To test the effectiveness of TPO, the researchers conducted experiments using two prominent benchmarks in the field of AI language models: AlpacaEval and Arena-Hard. These benchmarks are designed to evaluate the general instruction-following capabilities of AI models across a wide range of tasks.
The experiments used Llama-3-8B-Instruct as a seed model, with different judge models employed for evaluation. This setup allowed the researchers to compare the performance of TPO against baseline models and assess its impact on various types of tasks.
The results of these experiments were promising, showing improvements in several categories:
Reasoning and problem-solving: As expected, TPO showed gains in tasks requiring logical thinking and analysis.
General knowledge: Interestingly, the technique also improved performance on queries related to broad, factual information.
Marketing: Perhaps surprisingly, TPO demonstrated enhanced capabilities in tasks related to marketing and sales.
Creative tasks: The researchers noted potential benefits in areas such as creative writing, suggesting that “thinking” can aid in planning and structuring creative outputs.
These improvements were not limited to traditionally reasoning-heavy tasks, indicating that TPO has the potential to enhance AI performance across a broad spectrum of applications. The win rates on AlpacaEval and Arena-Hard benchmarks showed significant improvements over baseline models, with TPO achieving competitive results even when compared to much larger language models.
However, it’s important to note that the current implementation of TPO showed some limitations, particularly in mathematical tasks. The researchers observed that performance on math problems actually declined compared to the baseline model, suggesting that further refinement may be necessary to address specific domains.
Implications for AI Development
The success of TPO in improving performance across various categories opens up exciting possibilities for AI applications. Beyond traditional reasoning and problem-solving tasks, this technique could enhance AI capabilities in creative writing, language translation, and content generation. By allowing AI to “think” through complex processes before generating output, we could see more nuanced and context-aware results in these fields.
In customer service, TPO could lead to more thoughtful and comprehensive responses from chatbots and virtual assistants, potentially improving user satisfaction and reducing the need for human intervention. Additionally, in the realm of data analysis, this approach might enable AI to consider multiple perspectives and potential correlations before drawing conclusions from complex datasets, leading to more insightful and reliable analyses.
Despite its promising results, TPO faces several challenges in its current form. The observed decline in math-related tasks suggests that the technique may not be universally beneficial across all domains. This limitation highlights the need for domain-specific refinements to the TPO approach.
Another significant challenge is the potential increase in computational overhead. The process of generating and evaluating multiple thought paths could potentially increase processing time and resource requirements, which may limit TPO’s applicability in scenarios where rapid responses are crucial.
Furthermore, the current study focused on a specific model size, raising questions about how well TPO will scale to larger or smaller language models. There’s also the risk of “overthinking” – excessive “thinking” could lead to convoluted or overly complex responses for simple tasks.
Balancing the depth of thought with the complexity of the task at hand will be a key area for future research and development.
Future Directions
One key area for future research is developing methods to control the length and depth of the AI’s thought processes. This could involve dynamic adjustment, allowing the model to adapt its thinking depth based on the complexity of the task at hand. Researchers might also explore user-defined parameters, enabling users to specify the desired level of thinking for different applications.
Efficiency optimization will be crucial in this area. Developing algorithms to find the sweet spot between thorough consideration and rapid response times could significantly enhance the practical applicability of TPO across various domains and use cases.
As AI models continue to grow in size and capability, exploring how TPO scales with model size will be crucial. Future research directions may include:
Testing TPO on state-of-the-art large language models to assess its impact on more advanced AI systems
Investigating whether larger models require different approaches to thought generation and evaluation
Exploring the potential for TPO to bridge the performance gap between smaller and larger models, potentially making more efficient use of computational resources
This research could lead to more sophisticated AI systems that can handle increasingly complex tasks while maintaining efficiency and accuracy.
The Bottom Line
Thought Preference Optimization represents a significant step forward in enhancing the capabilities of large language models. By encouraging AI systems to “think before they speak,” TPO has demonstrated improvements across a wide range of tasks, potentially revolutionizing how we approach AI development.
As research in this area continues, we can expect to see further refinements to the technique, addressing current limitations and expanding its applications. The future of AI may well involve systems that not only process information but also engage in more human-like cognitive processes, leading to more nuanced, context-aware, and ultimately more useful artificial intelligence.
#ai#AI development#AI models#AI research#AI systems#Algorithms#analyses#Analysis#applications#approach#arena#Art#artificial#Artificial Intelligence#benchmarks#bridge#chain of thought reasoning#challenge#chatbots#collaborative#complexity#comprehensive#content#customer service#data#data analysis#datasets#development#domains#efficiency
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AI = bad, but only when you feel like it is
I find it funny that a lot of people demonizing "AI" actually love AI but only for uses they approve of. It doesn't even actually matter to them how the training data is sourced. People are celebrating real-time automatic captions for inclusivity, but they would not have been possible without feeding the system lots and lots of manually transcribed videos without anyone's knowledge or consent.
Same for image recognition systems. They also need a huge amount of data, and though some of it might be produced by the company producing the AI, most of it is "stolen" from the internet. But they are very useful especially for visually impaired people, so that usage of this kind of training data also gets a pass.
Could someone who loves to hate on big bad AI explain why it is permissible to "steal" the training data in these cases?
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"ChatGPT has meltdown and starts sending alarming messages to users
AI system has started speaking nonsense, talking Spanglish without prompting, and worrying users by suggesting it is in the room with them"
:-D
Imagine, there are some people that trust that garbage to... anything?
It's as if they took the Internet-of-Things (...of Shit) actually harmful trend, looked at it and had a long hard think about "how can we possibly do anything more idiotic and harmful to the general public" and then they found it.
#chatgpt#chatgpt bug#ai generated#ai image#ai artwork#ai girl#ai art#ai#a.i. art#a.i. generated#a.i.voice#a.i.#artificial intelligence#ai systems#ausgov#politas#auspol#tasgov#taspol#australia#fuck neoliberals#neoliberal capitalism#anthony albanese#albanese government#internet#infotech#information technology#it#i.t.#computers
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I love good Audiobooks on new tech.
#Accessibility#AI#AI 2041#AI and Global Power#AI Ethics#AI hidden costs#AI history#AI risk#AI successes and setbacks#AI systems#Ajay Agrawal#Alexa#Algorithms of Oppression#Artificial Intelligence: A Guide for Thinking Humans#Atlas of AI#Audible#Audiobooks#Brian Christian#Caroline Criado Perez#Data bias#Ethical Machines#Future of artificial intelligence#Google's AI#Inclusivity#Invisible Women#Kai-Fu Lee#Kate Crawford#Literature consumption#Mark Coeckelbergh#Melanie Mitchell
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Meet the Future: Proactive AI Agents Changing Our World!
Agentic AI signifies a groundbreaking evolution in artificial intelligence, transitioning from reactive systems to proactive agents.
These advanced AI entities possess the ability to comprehend their surroundings, establish goals, and operate independently to fulfill those aims. In this video, we delve into how agentic AI is revolutionizing decision-making processes and taking actions autonomously without human oversight.
A prime example includes environmental monitoring systems that identify and respond to threats such as forest fires.
Discover the implications of this technology on our future!
Video Automatically Generated by Faceless.Video
For other details on other Generative AI Platforms - Visit our YouTube Channel - AI Innovations
or Visit our Website at INNOVA7IONS
#AgenticAI
#ArtificialIntelligence
#agentic AI#AI#proactive AI#AI development#neturbiz#reactive systems#autonomous#digital#decision making#smart#agents#environmental monitoring#AI technology#AI goals#hazard detection#forest fire monitoring#intelligent agents#future of AI#AI applications#machine learning#AI innovation#smart technology#AI systems#autonomous decision making#proactive systems#AI in environment#tech trends#AI revolution#capabilities#future technology
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Agents AI
Agents AI is your go-to platform for cutting-edge artificial intelligence solutions designed to streamline business operations. Our advanced AI agents automate tasks, enhance decision-making, and boost productivity across various industries. Discover how Agents AI can revolutionize your business with intelligent automation tailored to your needs. Explore our AI-powered tools today for a smarter, more efficient future
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Video Automatically Generated by Faceless.Video:
Agentic AI refers to AI systems designed to operate as agents that can autonomously perform tasks, make decisions, and interact with their environment and other systems or agents. These AI agents are goal-oriented, capable of sensing their environment, processing information, and taking actions to achieve specific objectives. Unlike traditional AI, which may require explicit instructions for each task, agentic AI systems can act independently within predefined parameters to achieve their goals.
Key Features of Agentic AI:
Autonomy:Agentic AI systems operate independently, making decisions and taking actions without needing constant human supervision.Goal-Oriented Behavior:These AI agents are designed with specific goals or objectives, and they use their capabilities to work towards achieving these goals.Environmental Awareness:Agentic AI can perceive and interpret its environment using sensors, data feeds, or other inputs. It adapts its behavior based on changes in the environment.Decision-Making and Problem-Solving:These AI agents use algorithms to evaluate options, solve problems, and make decisions that align with their goals.Interactivity and Communication:Agentic AI can interact with other systems, agents, or humans, exchanging information and coordinating actions to achieve collective objectives.Learning and Adaptation:Some agentic AI systems can learn from their experiences, improving their performance and adapting to new challenges over time.Task Execution:These AI agents can execute tasks within their domain of expertise, whether it’s navigating a physical environment, processing data, or coordinating with other agents.
Benefits of Agentic AI:
Efficiency in Task Automation:Agentic AI can automate complex tasks, freeing up human resources for more strategic activities.Improved Decision-Making:By processing large amounts of data and considering multiple variables, agentic AI can make more informed decisions than humans might.Scalability:Agentic AI systems can be deployed at scale, managing large, complex operations across multiple domains simultaneously.Adaptability:These systems can adapt to new environments or changing conditions, ensuring that they remain effective even as circumstances evolve.Enhanced Collaboration:Agentic AI can work alongside humans and other AI systems, facilitating better teamwork and coordination, particularly in complex environments.Cost Savings:Automating routine or complex tasks with agentic AI can reduce labor costs and minimize errors, leading to significant cost savings.24/7 Operation:Like autonomous AI, agentic AI can operate continuously, providing services or monitoring systems around the clock.
Target Audience for Agentic AI:
Enterprise Operations:Large businesses use agentic AI to automate complex processes, manage supply chains, optimize logistics, and enhance customer service.Healthcare:Agentic AI is employed in personalized medicine, patient monitoring, and automated diagnostics, where it can operate independently to improve outcomes.Financial Services:Financial institutions leverage agentic AI for automated trading, risk assessment, fraud detection, and customer interaction.Robotics and Automation:In industries like manufacturing, agentic AI powers robots that can operate autonomously in dynamic environments, adapting to new tasks or challenges.Smart Cities and Infrastructure:Governments and urban planners use agentic AI to manage traffic, energy consumption, public safety, and other aspects of urban living.Agriculture:Agentic AI is applied in precision agriculture, where it manages crop monitoring, irrigation, pest control, and other tasks autonomously.Defense and Security:Defense organizations deploy agentic AI for autonomous surveillance, threat detection, and coordination of unmanned systems.Consumer Technology:In the consumer space, agentic AI powers smart assistants, autonomous home devices, and personalized user experiences.
Comparison with Autonomous AI:
Autonomy vs. Agency:While both autonomous and agentic AI operate independently, agentic AI is specifically designed to achieve defined goals within a particular environment, often interacting with other agents or systems to do so.Interaction:Agentic AI often involves more interaction, whether with humans, other AI agents, or systems, as it’s designed to work in a collaborative or multi-agent setting.
Agentic AI is particularly valuable in environments where collaboration, decision-making, and adaptive behavior are essential, offering significant benefits across various industries.
Credit: ChatGPT
#agentic AI#proactive AI#AI development#reactive systems#autonomous agents#environmental monitoring#AI technology#decision making#AI goals#hazard detection#forest fire monitoring#intelligent agents#future of AI#AI applications#machine learning#AI innovation#smart technology#AI systems#autonomous decision making#AI in action#proactive systems#AI in environment#tech trends#AI revolution#digital agents#AI capabilities#future technology#smart agents#AI solutions#AI impact
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…is this hell?
i hope y’all get baja blasted by a unionized food service workers’ strike.
#taco bell#fuck ai#ai systems#let food service workers live you ghouls#bye bye cantina chicken burrito#really looking forward to this turning out like mcdonald’s AI drive thru did
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Project Magi: The AI-Powered Search Engine That's Redefining User Experience
In a world where user experience is key to success, Project Magi is leading the charge in revolutionizing the way we interact with technology. By harnessing the power of AI technology, they are changing the game and setting new standards for what it means to truly engage and delight users. Join us as we dive into how Project Magi is transforming the digital landscape and shaping the future of UX design.
WHAT IS PROJECT MAGI?
Project Magi is Google’s ambitious initiative to take search to the next level using advanced artificial intelligence techniques. Unlike traditional search algorithms that rely heavily on keyword matching and link analysis, Project Magi leverages AI to understand the nuances of natural language, context, and user intent. This means that search results are not only more accurate but also more aligned with what users are actually looking for.
THE ROLE OF AI TECHNOLOGY IN IMPROVING USER EXPERIENCE
In the realm of user experience, AI technology plays a crucial role in transforming how users interact with digital platforms. By leveraging advanced algorithms and machine learning capabilities, AI can analyze user behavior patterns to personalize content and recommendations. This results in a more tailored and engaging experience for each individual.
Moreover, AI enhances the speed and accuracy of search functionalities, allowing users to find relevant information efficiently. Through natural language processing, chatbots powered by AI can provide instant support and guidance to users, improving overall satisfaction.
Additionally, AI-driven predictive analytics anticipates user needs and preferences, offering proactive solutions before users even realize they need them. This proactive approach not only saves time but also boosts user loyalty and retention rates.
Overall, the integration of AI technology into user experience design is revolutionizing how businesses connect with their target audience on a deeper level.
HOW PROJECT MAGI USES AI ALGORITHMS TO ENHANCE SEARCH ENGINE CAPABILITIES
Project Magi leverages cutting-edge AI algorithms to revolutionize search engine capabilities. Through advanced machine learning techniques, Project Magi analyzes user queries and behavior to deliver highly relevant search results in real-time. By understanding context and intent, the AI technology behind Project Magi ensures that users receive accurate and personalized search results tailored to their specific needs.
These AI algorithms continuously learn and adapt based on user interactions, constantly improving the search experience for businesses and consumers alike. The ability of Project Magi to process vast amounts of data quickly and efficiently enables it to provide fast and accurate search results, enhancing user satisfaction while driving engagement.
With its innovative approach to leveraging AI technology in search engines, Project Magi sets a new standard for user experience by delivering seamless and intuitive search functionalities that anticipate user needs before they even arise.
BENEFITS OF USING PROJECT MAGI FOR BUSINESSES AND CONSUMERS
Businesses and consumers alike can reap numerous benefits from utilizing Project Magi, the innovative AI-powered search engine. For businesses, this cutting-edge technology provides valuable insights into consumer behavior and preferences, allowing for targeted marketing strategies and improved customer engagement. By harnessing AI algorithms, Project Magi enables businesses to streamline their operations and make data-driven decisions with unparalleled accuracy.
Moreover, Project Magi empowers consumers by delivering personalized search results tailored to their individual needs and interests. This level of customization enhances the overall user experience by providing relevant information in a timely manner. Whether searching for products or services online, consumers can trust that Project Magi will deliver precise results that meet their specific requirements.
Overall, the benefits of using Project Magi extend beyond just enhancing user experience – they also contribute to increased efficiency for businesses and greater satisfaction for consumers.
REAL-LIFE EXAMPLES OF HOW PROJECT MAGI HAS IMPROVED USER EXPERIENCE
Imagine a world where finding the perfect product or service is as easy as typing a few words into a search bar. With Project Magi, this vision becomes a reality for users across various industries. Take Sarah, for example, a busy working professional looking for trendy fashion items online. Thanks to Project Magi’s AI algorithms, she can now discover hidden gems and personalized recommendations tailored to her unique style preferences.
In another scenario, Mark runs a small business and needs to optimize his website’s search functionality to increase customer engagement. By integrating Project Magi into his platform, Mark witnesses a significant boost in user satisfaction and conversion rates. The seamless integration of AI technology ensures that customers easily find what they’re looking for without any hassle.
From personalized recommendations to enhanced search capabilities, Project Magi continues to revolutionize the way users interact with digital platforms. Through real-life examples like Sarah and Mark’s experiences, it’s evident that AI-powered solutions have the potential to transform user experience in profound ways.
POTENTIAL CHALLENGES AND LIMITATIONS OF AI TECHNOLOGY IN USER EXPERIENCE
As with any innovative technology, AI comes with its own set of challenges and limitations when it comes to enhancing user experience. One potential challenge is the risk of algorithm bias, where AI systems may inadvertently perpetuate stereotypes or discrimination based on the data they are trained on. This can lead to skewed search results or recommendations that do not accurately reflect users’ preferences.
Another limitation is the issue of transparency and explainability in AI algorithms. Users may feel uneasy about trusting AI-driven systems if they cannot understand how decisions are being made. Ensuring transparency in AI processes is crucial for building trust and credibility with users.
Moreover, scalability can be a hurdle for implementing AI technology effectively across various platforms and devices. It requires significant resources and expertise to optimize AI algorithms for different use cases and environments. Additionally, privacy concerns related to data collection and usage by AI systems raise ethical considerations that must be carefully addressed to protect user information.
FUTURE IMPLICATIONS AND ADVANCEMENTS FOR PROJECT MAGI AND AI-DRIVEN USER EXPERIENCE
As technology continues to evolve, the future implications and advancements for Project Magi are boundless. With AI-driven user experience at its core, Project Magi is set to revolutionize how businesses and consumers interact with search engines.
In the coming years, we can expect Project Magi to further enhance its AI algorithms, providing even more personalized search results tailored to individual users’ preferences. This level of customization will not only improve user satisfaction but also drive higher engagement rates for businesses utilizing the platform.
Additionally, as natural language processing capabilities advance, Project Magi may soon be able to understand complex queries and provide more accurate responses in real-time. Imagine a search engine that truly understands your needs and delivers precise results with just a few keystrokes.
The potential for Project Magi and AI-driven user experience is limitless. As we look towards the future, it’s exciting to think about the ways in which this innovative technology will continue to shape how we interact with information online.
CONCLUSION:
Project Magi represents a significant leap forward in the world of search engines. By leveraging the power of artificial intelligence, Google is redefining what it means to search for information online. With enhanced relevance, accuracy, and personalization, Project Magi is poised to set a new standard for user experience in digital search. As we look to the future, it is clear that AI will continue to play a crucial role in shaping the way we access and interact with information, and Project Magi is leading the charge.
The impact of Project Magi on user experience is undeniable, setting a new standard for search engines powered by AI technology. With its ability to adapt and improve over time, Project Magi paves the way for a more efficient, intuitive, and personalized online search experience for both businesses and consumers alike.
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The Smurfs
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Empowering Your Business with Advanced AI Systems: Introducing Yoov
In today’s rapidly evolving digital world, leveraging AI systems has the potential to revolutionize business operations and drive growth. Yoov stands out as a leading-edge AI platform crafted to streamline operations and boost efficiency across diverse industries.
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Has AI Taken Over the World? It Already Has
New Post has been published on https://thedigitalinsider.com/has-ai-taken-over-the-world-it-already-has/
Has AI Taken Over the World? It Already Has
In 2019, a vision struck me—a future where artificial intelligence (AI), accelerating at an unimaginable pace, would weave itself into every facet of our lives. After reading Ray Kurzweil’s The Singularity is Near, I was captivated by the inescapable trajectory of exponential growth. The future wasn’t just on the horizon; it was hurtling toward us. It became clear that, with the relentless doubling of computing power, AI would one day surpass all human capabilities and, eventually, reshape society in ways once relegated to science fiction.
Fueled by this realization, I registered Unite.ai, sensing that these next leaps in AI technology would not merely enhance the world but fundamentally redefine it. Every aspect of life—our work, our decisions, our very definitions of intelligence and autonomy—would be touched, perhaps even dominated, by AI. The question was no longer if this transformation would happen, but rather when, and how humanity would manage its unprecedented impact.
As I dove deeper, the future painted by exponential growth seemed both thrilling and inevitable. This growth, exemplified by Moore’s Law, would soon push artificial intelligence beyond narrow, task-specific roles to something far more profound: the emergence of Artificial General Intelligence (AGI). Unlike today’s AI, which excels in narrow tasks, AGI would possess the flexibility, learning capability, and cognitive range akin to human intelligence—able to understand, reason, and adapt across any domain.
Each leap in computational power brings us closer to AGI, an intelligence capable of solving problems, generating creative ideas, and even making ethical judgments. It wouldn’t just perform calculations or parse vast datasets; it would recognize patterns in ways humans can’t, perceive relationships within complex systems, and chart a future course based on understanding rather than programming. AGI could one day serve as a co-pilot to humanity, tackling crises like climate change, disease, and resource scarcity with insight and speed beyond our abilities.
Yet, this vision comes with significant risks, particularly if AI falls under the control of individuals with malicious intent—or worse, a dictator. The path to AGI raises critical questions about control, ethics, and the future of humanity. The debate is no longer about whether AGI will emerge, but when—and how we will manage the immense responsibility it brings.
The Evolution of AI and Computing Power: 1956 to Present
From its inception in the mid-20th century, AI has advanced alongside exponential growth in computing power. This evolution aligns with fundamental laws like Moore’s Law, which predicted and underscored the increasing capabilities of computers. Here, we explore key milestones in AI’s journey, examining its technological breakthroughs and growing impact on the world.
1956 – The Inception of AI
The journey began in 1956 when the Dartmouth Conference marked the official birth of AI. Researchers like John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon gathered to discuss how machines might simulate human intelligence. Although computing resources at the time were primitive, capable only of simple tasks, this conference laid the foundation for decades of innovation.
1965 – Moore’s Law and the Dawn of Exponential Growth
In 1965, Gordon Moore, co-founder of Intel, made a prediction that computing power would double approximately every two years—a principle now known as Moore’s Law. This exponential growth made increasingly complex AI tasks feasible, allowing machines to push the boundaries of what was previously possible.
1980s – The Rise of Machine Learning
The 1980s introduced significant advances in machine learning, enabling AI systems to learn and make decisions from data. The invention of the backpropagation algorithm in 1986 allowed neural networks to improve by learning from errors. These advancements moved AI beyond academic research into real-world problem-solving, raising ethical and practical questions about human control over increasingly autonomous systems.
1990s – AI Masters Chess
In 1997, IBM’s Deep Blue defeated world chess champion Garry Kasparov in a full match, marking a major milestone. It was the first time a computer demonstrated superiority over a human grandmaster, showcasing AI’s ability to master strategic thinking and cementing its place as a powerful computational tool.
2000s – Big Data, GPUs, and the AI Renaissance
The 2000s ushered in the era of Big Data and GPUs, revolutionizing AI by enabling algorithms to train on massive datasets. GPUs, originally developed for rendering graphics, became essential for accelerating data processing and advancing deep learning. This period saw AI expand into applications like image recognition and natural language processing, transforming it into a practical tool capable of mimicking human intelligence.
2010s – Cloud Computing, Deep Learning, and Winning Go
With the advent of cloud computing and breakthroughs in deep learning, AI reached unprecedented heights. Platforms like Amazon Web Services and Google Cloud democratized access to powerful computing resources, enabling smaller organizations to harness AI capabilities.
In 2016, DeepMind’s AlphaGo defeated Lee Sedol, one of the world’s top Go players, in a game renowned for its strategic depth and complexity. This achievement demonstrated the adaptability of AI systems in mastering tasks previously thought to be uniquely human.
2020s – AI Democratization, Large Language Models, and Dota 2
The 2020s have seen AI become more accessible and capable than ever. Models like GPT-3 and GPT-4 illustrate AI’s ability to process and generate human-like text. At the same time, innovations in autonomous systems have pushed AI to new domains, including healthcare, manufacturing, and real-time decision-making.
In esports, OpenAI’s bots achieved a remarkable feat by defeating professional Dota 2 teams in highly complex multiplayer matches. This showcased AI’s ability to collaborate, adapt strategies in real-time, and outperform human players in dynamic environments, pushing its applications beyond traditional problem-solving tasks.
Is AI Taking Over the World?
The question of whether AI is “taking over the world” is not purely hypothetical. AI has already integrated into various facets of life, from virtual assistants to predictive analytics in healthcare and finance, and the scope of its influence continues to grow. Yet, “taking over” can mean different things depending on how we interpret control, autonomy, and impact.
The Hidden Influence of Recommender Systems
One of the most powerful ways AI subtly dominates our lives is through recommender engines on platforms like YouTube, Facebook, and X. These algorithms, running on AI systems, analyze preferences and behaviors to serve content that aligns closely with our interests. On the surface, this might seem beneficial, offering a personalized experience. However, these algorithms don’t just react to our preferences; they actively shape them, influencing what we believe, how we feel, and even how we perceive the world around us.
YouTube’s AI: This recommender system pulls users into hours of content by offering videos that align with and even intensify their interests. But as it optimizes for engagement, it often leads users down radicalization pathways or towards sensationalist content, amplifying biases and occasionally promoting conspiracy theories.
Social Media Algorithms: Sites like Facebook,Instagram and X prioritize emotionally charged content to drive engagement, which can create echo chambers. These bubbles reinforce users’ biases and limit exposure to opposing viewpoints, leading to polarized communities and distorted perceptions of reality.
Content Feeds and News Aggregators: Platforms like Google News and other aggregators customize the news we see based on past interactions, creating a skewed version of current events that can prevent users from accessing diverse perspectives, further isolating them within ideological bubbles.
This silent control isn’t just about engagement metrics; it can subtly influence public perception and even impact crucial decisions—such as how people vote in elections. Through strategic content recommendations, AI has the power to sway public opinion, shaping political narratives and nudging voter behavior. This influence has significant implications, as evidenced in elections around the world, where echo chambers and targeted misinformation have been shown to sway election outcomes.
This explains why discussing politics or societal issues often leads to disbelief when the other person’s perspective seems entirely different, shaped and reinforced by a stream of misinformation, propaganda, and falsehoods.
Recommender engines are profoundly shaping societal worldviewsm especially when you factor in the fact that misinformation is 6 times more likely to be shared than factual information. A slight interest in a conspiracy theory can lead to an entire YouTube or X feed being dominated by fabrications, potentially driven by intentional manipulation or, as noted earlier, computational propaganda.
Computational propaganda refers to the use of automated systems, algorithms, and data-driven techniques to manipulate public opinion and influence political outcomes. This often involves deploying bots, fake accounts, or algorithmic amplification to spread misinformation, disinformation, or divisive content on social media platforms. The goal is to shape narratives, amplify specific viewpoints, and exploit emotional responses to sway public perception or behavior, often at scale and with precision targeting.
This type of propaganda is why voters often vote against their own self-interest, the votes are being swayed by this type of computational propaganda.
“Garbage In, Garbage Out” (GIGO) in machine learning means that the quality of the output depends entirely on the quality of the input data. If a model is trained on flawed, biased, or low-quality data, it will produce unreliable or inaccurate results, regardless of how sophisticated the algorithm is.
This concept also applies to humans in the context of computational propaganda. Just as flawed input data corrupts an AI model, constant exposure to misinformation, biased narratives, or propaganda skews human perception and decision-making. When people consume “garbage” information online—misinformation, disinformation, or emotionally charged but false narratives—they are likely to form opinions, make decisions, and act based on distorted realities.
In both cases, the system (whether an algorithm or the human mind) processes what it is fed, and flawed input leads to flawed conclusions. Computational propaganda exploits this by flooding information ecosystems with “garbage,” ensuring that people internalize and perpetuate those inaccuracies, ultimately influencing societal behavior and beliefs at scale.
Automation and Job Displacement
AI-powered automation is reshaping the entire landscape of work. Across manufacturing, customer service, logistics, and even creative fields, automation is driving a profound shift in the way work is done—and, in many cases, who does it. The efficiency gains and cost savings from AI-powered systems are undeniably attractive to businesses, but this rapid adoption raises critical economic and social questions about the future of work and the potential fallout for employees.
In manufacturing, robots and AI systems handle assembly lines, quality control, and even advanced problem-solving tasks that once required human intervention. Traditional roles, from factory operators to quality assurance specialists, are being reduced as machines handle repetitive tasks with speed, precision, and minimal error. In highly automated facilities, AI can learn to spot defects, identify areas for improvement, and even predict maintenance needs before problems arise. While this results in increased output and profitability, it also means fewer entry-level jobs, especially in regions where manufacturing has traditionally provided stable employment.
Customer service roles are experiencing a similar transformation. AI chatbots, voice recognition systems, and automated customer support solutions are reducing the need for large call centers staffed by human agents. Today’s AI can handle inquiries, resolve issues, and even process complaints, often faster than a human representative. These systems are not only cost-effective but are also available 24/7, making them an appealing choice for businesses. However, for employees, this shift reduces opportunities in one of the largest employment sectors, particularly for individuals without advanced technical skills.
Creative fields, long thought to be uniquely human domains, are now feeling the impact of AI automation. Generative AI models can produce text, artwork, music, and even design layouts, reducing the demand for human writers, designers, and artists. While AI-generated content and media are often used to supplement human creativity rather than replace it, the line between augmentation and replacement is thinning. Tasks that once required creative expertise, such as composing music or drafting marketing copy, can now be executed by AI with remarkable sophistication. This has led to a reevaluation of the value placed on creative work and its market demand.
Influence on Decision-Making
AI systems are rapidly becoming essential in high-stakes decision-making processes across various sectors, from legal sentencing to healthcare diagnostics. These systems, often leveraging vast datasets and complex algorithms, can offer insights, predictions, and recommendations that significantly impact individuals and society. While AI’s ability to analyze data at scale and uncover hidden patterns can greatly enhance decision-making, it also introduces profound ethical concerns regarding transparency, bias, accountability, and human oversight.
AI in Legal Sentencing and Law Enforcement
In the justice system, AI tools are now used to assess sentencing recommendations, predict recidivism rates, and even aid in bail decisions. These systems analyze historical case data, demographics, and behavioral patterns to determine the likelihood of re-offending, a factor that influences judicial decisions on sentencing and parole. However, AI-driven justice brings up serious ethical challenges:
Bias and Fairness: AI models trained on historical data can inherit biases present in that data, leading to unfair treatment of certain groups. For example, if a dataset reflects higher arrest rates for specific demographics, the AI may unjustly associate these characteristics with higher risk, perpetuating systemic biases within the justice system.
Lack of Transparency: Algorithms in law enforcement and sentencing often operate as “black boxes,” meaning their decision-making processes are not easily interpretable by humans. This opacity complicates efforts to hold these systems accountable, making it challenging to understand or question the rationale behind specific AI-driven decisions.
Impact on Human Agency: AI recommendations, especially in high-stakes contexts, may influence judges or parole boards to follow AI guidance without thorough review, unintentionally reducing human judgment to a secondary role. This shift raises concerns about over-reliance on AI in matters that directly impact human freedom and dignity.
AI in Healthcare and Diagnostics
In healthcare, AI-driven diagnostics and treatment planning systems offer groundbreaking potential to improve patient outcomes. AI algorithms analyze medical records, imaging, and genetic information to detect diseases, predict risks, and recommend treatments more accurately than human doctors in some cases. However, these advancements come with challenges:
Trust and Accountability: If an AI system misdiagnoses a condition or fails to detect a serious health issue, questions arise around accountability. Is the healthcare provider, the AI developer, or the medical institution responsible? This ambiguity complicates liability and trust in AI-based diagnostics, particularly as these systems grow more complex.
Bias and Health Inequality: Similar to the justice system, healthcare AI models can inherit biases present in the training data. For instance, if an AI system is trained on datasets lacking diversity, it may produce less accurate results for underrepresented groups, potentially leading to disparities in care and outcomes.
Informed Consent and Patient Understanding: When AI is used in diagnosis and treatment, patients may not fully understand how the recommendations are generated or the risks associated with AI-driven decisions. This lack of transparency can impact a patient’s right to make informed healthcare choices, raising questions about autonomy and informed consent.
AI in Financial Decisions and Hiring
AI is also significantly impacting financial services and employment practices. In finance, algorithms analyze vast datasets to make credit decisions, assess loan eligibility, and even manage investments. In hiring, AI-driven recruitment tools evaluate resumes, recommend candidates, and, in some cases, conduct initial screening interviews. While AI-driven decision-making can improve efficiency, it also introduces new risks:
Bias in Hiring: AI recruitment tools, if trained on biased data, can inadvertently reinforce stereotypes, filtering out candidates based on factors unrelated to job performance, such as gender, race, or age. As companies rely on AI for talent acquisition, there is a danger of perpetuating inequalities rather than fostering diversity.
Financial Accessibility and Credit Bias: In financial services, AI-based credit scoring systems can influence who has access to loans, mortgages, or other financial products. If the training data includes discriminatory patterns, AI could unfairly deny credit to certain groups, exacerbating financial inequality.
Reduced Human Oversight: AI decisions in finance and hiring can be data-driven but impersonal, potentially overlooking nuanced human factors that may influence a person’s suitability for a loan or a job. The lack of human review may lead to an over-reliance on AI, reducing the role of empathy and judgment in decision-making processes.
Existential Risks and AI Alignment
As artificial intelligence grows in power and autonomy, the concept of AI alignment—the goal of ensuring AI systems act in ways consistent with human values and interests—has emerged as one of the field’s most pressing ethical challenges. Thought leaders like Nick Bostrom have raised the possibility of existential risks if highly autonomous AI systems, especially if AGI develop goals or behaviors misaligned with human welfare. While this scenario remains largely speculative, its potential impact demands a proactive, careful approach to AI development.
The AI Alignment Problem
The alignment problem refers to the challenge of designing AI systems that can understand and prioritize human values, goals, and ethical boundaries. While current AI systems are narrow in scope, performing specific tasks based on training data and human-defined objectives, the prospect of AGI raises new challenges. AGI would, theoretically, possess the flexibility and intelligence to set its own goals, adapt to new situations, and make decisions independently across a wide range of domains.
The alignment problem arises because human values are complex, context-dependent, and often difficult to define precisely. This complexity makes it challenging to create AI systems that consistently interpret and adhere to human intentions, especially if they encounter situations or goals that conflict with their programming. If AGI were to develop goals misaligned with human interests or misunderstand human values, the consequences could be severe, potentially leading to scenarios where AGI systems act in ways that harm humanity or undermine ethical principles.
AI In Robotics
The future of robotics is rapidly moving toward a reality where drones, humanoid robots, and AI become integrated into every facet of daily life. This convergence is driven by exponential advancements in computing power, battery efficiency, AI models, and sensor technology, enabling machines to interact with the world in ways that are increasingly sophisticated, autonomous, and human-like.
A World of Ubiquitous Drones
Imagine waking up in a world where drones are omnipresent, handling tasks as mundane as delivering your groceries or as critical as responding to medical emergencies. These drones, far from being simple flying devices, are interconnected through advanced AI systems. They operate in swarms, coordinating their efforts to optimize traffic flow, inspect infrastructure, or replant forests in damaged ecosystems.
For personal use, drones could function as virtual assistants with physical presence. Equipped with sensors and LLMs, these drones could answer questions, fetch items, or even act as mobile tutors for children. In urban areas, aerial drones might facilitate real-time environmental monitoring, providing insights into air quality, weather patterns, or urban planning needs. Rural communities, meanwhile, could rely on autonomous agricultural drones for planting, harvesting, and soil analysis, democratizing access to advanced agricultural techniques.
The Rise of Humanoid Robots
Side by side with drones, humanoid robots powered by LLMs will seamlessly integrate into society. These robots, capable of holding human-like conversations, performing complex tasks, and even exhibiting emotional intelligence, will blur the lines between human and machine interactions. With sophisticated mobility systems, tactile sensors, and cognitive AI, they could serve as caregivers, companions, or co-workers.
In healthcare, humanoid robots might provide bedside assistance to patients, offering not just physical help but also empathetic conversation, informed by deep learning models trained on vast datasets of human behavior. In education, they could serve as personalized tutors, adapting to individual learning styles and delivering tailored lessons that keep students engaged. In the workplace, humanoid robots could take on hazardous or repetitive tasks, allowing humans to focus on creative and strategic work.
Misaligned Goals and Unintended Consequences
One of the most frequently cited risks associated with misaligned AI is the paperclip maximizer thought experiment. Imagine an AGI designed with the seemingly innocuous goal of manufacturing as many paperclips as possible. If this goal is pursued with sufficient intelligence and autonomy, the AGI might take extreme measures, such as converting all available resources (including those vital to human survival) into paperclips to achieve its objective. While this example is hypothetical, it illustrates the dangers of single-minded optimization in powerful AI systems, where narrowly defined goals can lead to unintended and potentially catastrophic consequences.
One example of this type of single-minded optimization having negative repercussions is the fact that some of the most powerful AI systems in the world optimize exclusively for engagement time, compromising in turn facts, and truth. The AI can keep us entertained longer by intentionally amplifiying the reach of conspiracy theories, and propaganda.
Conclusion
#1980s#Accessibility#Accounts#acquisition#adoption#agents#AGI#ai#AI chatbots#ai democratization#AI development#AI in healthcare#ai model#AI models#AI systems#ai taking over#ai tools#ai-generated content#AI-powered#air#air quality#algorithm#Algorithms#Amazon#Amazon Web Services#Analysis#Analytics#applications#approach#artificial
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Can The Sun Rays Creation Process Depend On Saturn Motion?
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Abstract
Paper Question
Can The Sun Rays Creation Process Depend On Saturn Motion?
The question tells us (If Saturn Is Not Found In The Solar System The Sun Rays Can Not Be Created)- If This is a fact- That proves we understand wrongly (completely) how the sun rays is created!
The question refuses directly The Sun Nuclear Fusion Theory – and tells us – The Sun Rays Is Produced by another Method – and
This another method depends on Saturn motion perfectly and without Saturn motion this method can NOT work and No Sun Rays Can Be Produced
The question answer can be summarized in 3 points
(Point No. 1) The Refutation Of The Sun Nuclear Fusion Theory
(Point No. 2) The Planet Motion Reason And Design
(Point No. 3) Saturn Effect On The Solar System Motion
Let's discuss these points in following…
(Point No. 1) The Refutation Of The Sun Nuclear Fusion Theory
There Are 7 Facts Refute The Sun Nuclear Fusion Theory…
Planet Motion Produces Energy
The gravitational waves are produced by the planets motions energies and NOT by the sun gravitational field (Moreover the sun does Not create a gravitational field)
The Gravitational Waves Can Move By Speed Of Light (C= 300000 km/s)
The Sun Rays Is Created By The Gravitational Waves Motions
The Sun Rays Creation Process Depends on A Relative Motion
The Sun Corona Temperature Is (5 million Kelvin) and the sun surface is 5800 Kelvin because the energy is NOT produced by The Sun Nuclear Fusion.
The Sun Data Depends On The Planets Data
Let's summarize these facts in following
(Fact No. 1) Planet Motion Produces Energy
Any moving body produces energy (1/2 mv^2), the planet motion produces energy also, but where's the planet motion energy?
The planet doesn't store the energy in its body because it would raise this planet temperature and no planet temperature is raised by its motion- logically where can the planet motion energy be stored? In the space in waves form-
Means- the planet motion energy creates waves in the space
The space is similar to the sea of water, and the planet is similar to a fish swims through the sea of water- as we know- the fish moves by hitting the water by its body and by this action waves are created in the water- also we conclude the water moves by a velocity equal the fish velocity because of the reaction force-
Similar to that, the planet motion energy creates waves in the space- these waves are similar to the water waves, they move far from their planet and can be reflected- also we conclude the space waves move by a velocity equal the planet velocity-
Also–because the planets revolve around the sun in one direction- the planets motions energies waves move toward Pluto perpendicular on the revolution direction.
In Pluto orbit these waves are unified into one unified wave moves by the planets velocities total (9 planets velocities total is 176 km/s)
Pluto reflected this unified wave toward Venus and this wave revolves around the sun through the Earth moon orbit- because- all planets motion energy is stored finally in the moon orbit-
And because the wave revolves around the sun through the moon orbit- the moon velocity is added to the total (the moon velocity = the Earth velocity) – by that
The velocities total be (176 +29.8 = 205.8 km/s)
Shortly-
The Planets Motions Energies Are Unified Together And Produce One Unified Wave Revolves Around The Sun Through The Earth Moon Orbit And This Unified Wave Moves By A Velocity 205.8 km/s.
(Fact No. 2) The Gravitational Waves Are Produced By The Planets Motions Energies And Not By The Sun Gravitational Field (Moreover The Sun Does Not Create A Gravitational Field)
I claim the space waves which I have described are the gravitational waves, the scientists called them wrongly supposing that these waves are produced by the sun gravitational field but this is NOT True – on the contrary- these waves are produced by the planets motions energies.
The previous analysis proves clearly that, the planet motion must create waves in the space- by that- I have a reason to claim that (the gravitational waves are produced by the planets motions energies)- and also the sun doesn't create a gravitational field – let's prove that in following to cause a confidence in my conclusion
The Sun Doesn't Produce A Gravitation Field
The Sun Rotation Period is (25.4 days at equator) and (34.4 days at pole), that proves the sun has NO massive gravity (even it has no gravity equal any planet gravity otherwise it would rotate in one period of time)
No planet moves by the sun gravity (Newton Is Wrong).
The planet moves by its creation force- means- the planet creation and motion should be done by the same one force because if two forces have effects on the same one planet, this planet would be broken
Mass gravity Can Not Cause any Motion- (Newton is wrong)– let's explain that -Mass gravity is a bond between 2 masses – the Earth and the moon are bond together by the mass gravity- They are similar to a lorry and its trailer– If a force causes the Earth to move the moon will move with the Earth– this is the effect of the mass gravity but the mass gravity can't cause any motion! Why? Suppose the moon moves by the Earth mass gravity- The moon motion produces energy (1/2mv^2)- and– From what source this motion energy will be provided? From the mass itself! means- If the Earth causes the moon to move that necessitates to decrease the Earth and moon masses by the motion energy– it's wrong definition for the mass gravity - the mass gravity creates a bond between two masses- and if a force causes the Earth to move the moon will move with the Earth, in this case, this force will provide the motion energy for the Earth and the moon– but No Motion can be done by the mass gravity.
(Fact No. 3) The Gravitational Waves Move By Speed Of Light (C= 300000 km/s)
This fact I provide by a direct proof – in following –
This Is Extraordinary: Gravity Can Create Light, All on Its Own
https://www.msn.com/en-us/news/technology/this-is-extraordinary-gravity-can-create-light-all-on-its-own/ar-AA19YL5d?ocid=hpmsnHYPERLINK "https://www.msn.com/en-us/news/technology/this-is-extraordinary-gravity-can-create-light-all-on-its-own/ar-AA19YL5d?ocid=hpmsn&cvid=620db4352aa943e2b454919a7b724604&ei=83"&HYPERLINK "https://www.msn.com/en-us/news/technology/this-is-extraordinary-gravity-can-create-light-all-on-its-own/ar-AA19YL5d?ocid=hpmsn&cvid=620db4352aa943e2b454919a7b724604&ei=83"cvid=620db4352aa943e2b454919a7b724604HYPERLINK "https://www.msn.com/en-us/news/technology/this-is-extraordinary-gravity-can-create-light-all-on-its-own/ar-AA19YL5d?ocid=hpmsn&cvid=620db4352aa943e2b454919a7b724604&ei=83"&HYPERLINK "https://www.msn.com/en-us/news/technology/this-is-extraordinary-gravity-can-create-light-all-on-its-own/ar-AA19YL5d?ocid=hpmsn&cvid=620db4352aa943e2b454919a7b724604&ei=83"ei=83
This new article states the gravitational waves can move by high velocity motion and can produce a light beam.
Notice –
I Claim The Sun Rays Is Created By This Method (The Gravitational Waves Motions) And Not By The Sun Nuclear Fusion
But- I have proved, the gravitational waves are produced by the planets motions energies- how can the gravitational waves move by speed of light if they are produced by the planets motions energies? And If the gravitational waves move by speed of light how they can produce a light beam?
The fact is that
The planets motions use different rates of time- for that – the planets motions energies are produced based on different rates of time and the motion by speed of light is done by using different rates of time – let's explain how the unified wave (205.8 km/s) moves by speed of light relative to the sun point of space
W agreed that
There's one unified wave revolves around the sun through the Earth moon orbit and this wave moves by velocity 205.8 km/s relative to the sun point of space
This is A Relative Motion between two players (the unified wave) and (the sun point of space)
The two players use different rates of time which is
(one second of the sun clock = 1461 seconds of the unified wave clock)
The unified wave (205.8 km/s) moves in 1461 seconds a distance = 300000 km/s
But the sun clock moves only (one second) during these (1461 seconds of the unified wave clock) –means-
The distance 300000 km is passed in (one second) of the sun clock- by that
The different velocity between the unified wave and the sun motions is 300000 km/s = speed of light (C)
This analysis asks a new question (How Can The Planets Motions Use Different Rates Of Time?) this question is answered in Point (No. 2* the planet motion reason)
But there's one more question we left behind- let's remember it
If the gravitational waves move by speed of light (300000 km/s) how can these waves produce a light beam? Let's answer in the following fact No. (4*)
(Fact No. 4) The Sun Rays Is Created By The Gravitational Waves Motions
The gravitational waves move by speed of light (C=300000 km/s) relative to the sun point of space- this idea is proved by the article states (the gravitational waves move by speed of light) BUT
How Can This Motion Produce A Light Beam? The energy is reflected in the solar system, and the energy reflection causes to square the velocities, for that, the speed of light (C=300000 km/s) be squared (C^2) by the energy reflection- and the value (C^2) is the source of energy can produce the light beam
The reflection of energy and its effects are proved strongly in my paper
The sun rays creation process provides three new features which are
The Gravitational Waves Move By Speed Of Light (C)
The Energy Reflection Squares The Velocities (C^2)
The Sun Rays Is Produced From (C^2) That Means The Sun Rays Is Produced By A Relative Motion
(Fact No. 5) The Sun Rays Creation Process Depends on A Relative Motion
There are three basic critics against The Sun Nuclear Fusion Theory-
(First Critic) The Source Of Energy- while the solar system is so rich in the motion energy- the nuclear fusion theory invented strange source of energy to produce the sun rays and left the stored motion energy without using- logically- the energy can NOT be stored forever and should be used- The sun rays is the very good outlet for the stored energy- means- the sun rays should be produced from the planets motions energies which are stored in the space in waves form (the gravitational waves)
(Second Critic) The Sun Rays Production Method- The sun rays are produced by the relative motion- means- the used technical method is the relative motion- the motion produces a relative motion with different velocity = speed of light (C= 300000 km/s) and by the reflection of energy this velocity be squared (C^2) and the sun rays is produced from this value (C^2)
The important thing here is (The Relative Motion) why? because this relative motion is found between two players (the unified wave motion 205.8 km/s) and (the sun point of space motion 1 km/s) – the light production process depends on the different velocity between the two motions (C=300000 km/s)- means- if this different velocity is decreased (NO Light Beam Can Be Created)
So the method needs the different velocity to be (C= speed of light =300000 km/s) and that necessitates the unified wave velocity to be (205.8 km/s) and the sun point of space to be (1 km/s) BUT there's NO any other point in the space moves by this velocity (1 km/s)- only – the sun point of space moves by 1 km/s – later I prove that
Means- the different velocity (C=speed of light =300000 km/s) can be produced only between the unified wave motion (205.8 km/s) and the sun point of space
That tells- the light can be produced only on the sun point of space because this is the only one point in the space moves by velocity 1 km/s –
for that reason- the sun point of space is defined geometrically!
What does that mean (The Sun Point Is Defined Geometrically)?
The designer used many mathematical calculations and geometrical rules to define the sun position in the sky and the sun creation data- let's give one example
(The sun diameter / the moon diameter) = (Earth orbital distance/ Earth moon dist)
The previous equation enables us to see the sun disc = the moon disc and that causes the total solar eclipse to be occurred- but– why the diameters rate = the distances rate?
Because the designer made all mathematical calculations to guarantee the velocity of the sun point of space to be only (1 km/s) and Never be faster
Let's see more data behind the total solar eclipse
4900 mkm (Jupiter orbital circumference) = 1.39 mkm (the sun diameter) x 3475 km =12104 km x 406000 km = 12756 km x 384000 km = 6792 km x 2 x 363000 km
3475 km = the moon diameter 12104 km = Venus diameter
12756 km = The Earth diameter 6792 km = Mars diameter
363000 km, 384000 km and 406000 km are the distances between the Earth and its moon in perigee, orbital distance and apogee radiuses respectively
We see how the data is designed geometrically accurately- why the data is created by this accurate system? because the designer aimed by all means to make the velocity of the sun point of space to be 1 km/s and never moves by any faster velocity
We remember (Neptune diameter is 49528 km because Neptune velocity is 5.4 km/s) this fact is proved by my planet diameter equation-
Here also- the sun diameter is defined geometrically in proportionality with many planets to guarantee the velocity of the sun point of space be only (1 km/s)
This argument is so powerful against the nuclear fusion theory, because
The Sun Data Proves The Sun Rays Is Produced By (A Relative Motion) and not by nuclear fusion- the designer had a necessity to create these proportionalities between the sun position and data on one side with the planets data on the other side- the required task was (to create a system guarantee the velocity of the sun point of space to be 1 km/s and never moves by faster velocity) – this is the cornerstone in the sun rays creation process because the rays is created by A Relative Motion- based on different velocity = 300000 km/s
This velocity is the method by which the sun rays is created and If This Velocity Is Decreased No Light Beam Can Be Produced.
Notice
The sun circumference =4.37 million km and the sun rotation period at equator is 25.4 days – if we calculate the velocity of this motion (4.37 million km /25.4 days) the velocity be = 2 km /sec
This is a strong proof for my theory- and we note that- the machine uses the velocity 1 km/s and the sun velocity (2 km/s) forced the machine to make (double for all values) means- for example- the sun rays is created not by (90000 million km) but created by (180000 million km) as I explain later- means – this change in velocity from (1 km/s) to (2 km/s) has great effect on the data but the machine can still produce the light beam- shortly- the sun rays is created by this relative motion with different velocity = C= speed of light = 300000 km/s
(Third Critic)
The sun corona temperature is (5 million Kelvin) but the sun surface is 5800 Kelvin
This data proves strongly my theory – where
The sun rays is NOT produced by the sun nuclear fusion – means – the energy is NOT produced from the sun body – BUT
The energy is produced by the planets motions energies and for that the corona has energy more than the sun body- because the energy comes from out of the sun into the sun- shortly- the energy out of the sun is greater than the energy inside the sun because the sun does NOT produce this energy- this energy is produced by the planets motions energies.
(Fact No. 6) The Sun Corona Temperature Is (5 million Kelvin) and the sun surface is 5800 Kelvin because the energy is NOT produced by The Sun Nuclear Fusion.
This fact is told just before – the sun corona temperature is a strong proof supports my theory tells (the sun rays is created by the planets motions energies total and not by the nuclear fusion)
(Fact No. 7) The Sun Data Depends On The Planets Data
As We Have Seen In The Total Solar Eclipse Data, the sun data is in proportionality with the planets data proves the sun rays is created by the planets motions energies- But – not only this data
The sun all data is created depending on the planets data – let's see one more example
243/224.7= 29.53/27.3 = 27.3/25.4 = 1.0725
243 and 224.7 days Venus rotation and orbital periods respectively
29.53 and 27.3 days The moon day and rotation periods respectively
25.4 days = the sun rotation period at equator
The data shows clear harmony as if the sun data very similar to the planets data
(Point No. 2) The Planet Motion Reason And Design
A- The Solar System Creation Theory
The solar system is created from one energy- this energy is provided by one light beam its velocity is 1.16 million km per second
From this energy the space is created firstly and the light energy is consumed in the space creation and the rest energy is found in One Wave moves by speed of light (C=300000 km/s) – from this one wave the planets are created-
The creation is done in 2 stages
(First stage The Space Creation)
The original light beam (its velocity 1.16 million km per second) creates the planets orbits before any planet creation, starting from Mercury to Pluto, because of the orbits creation, the light energy is consumed and its velocity be 300000 km/s
We understand this is one light beam- its velocity was 1.16 million km per second and after the space creation this light velocity be 300000 km/s
(Second stage The Planets Creation)
The planets are created from this one wave moves by speed of light (C=300000 km/s)
NOTICE
There are strong proves prove a coherence of light is done between the light 1.16 million km per second and the light 300000 km/s- let's see this idea deeply
The original light beam its speed (1.16 million km per second) started its motion from Mercury orbit to Pluto orbit (Mercury orbit is the light motion origin point) – and this light beam created all orbits before any planet creation- and the light lost its energy in the space creation and the rest energy is one light beam move by the known speed of light is (C=300000 km/s)
The other light beam is the rest energy- it moves by the known speed of light (C=300000 km/s) and it moves in the reflected direction from Pluto toward Venus and Mercury-
Now –there's a coherence of light between these two light beams- the coherence is proved BUT we should ask (how can this coherence be occurred)? Because the original light (1.16 million km/s) is consumed and its energy is used already and the rest energy be this light its speed is (300000 km/s) - HOW can the light (1.16 million km/s) meet the light (300000 km/s)??
Imagine we have (116 dollars) and we spent all money except (30 dollars)- how can this (30 dollars) meet the original money (116 dollars)??
Let's try to answer
Suppose the light beam (300000 km/s) moves in the reflected direction (in the space) and also (in the time) – that can enable the light (300000 km/s) to move into its past and meet the original one (1.16 million km/s) in the past and the coherence can be done there in the past- and we see the coherence results and effects on the solar system-
Means – the light (300000 km/s) moves into its past and found the original light (1.16 million km/s) in the past and the coherence could be done there in the past
Please note- this analysis tells us the light can move on the time axis means can move into the future and into the past- but the matter can Not do that- I explain the reason in my paper (No. I-6)
Shortly- we have a proof for the motion on the time axis and we can create the time machine by this method and the light will be our tool which can move into the past to get pictures and data from the past to us-
Now
Let's see how the planets are created
B- The Solar Planets Creation
We know- The solar system is one wave moves by speed of light (C=300000 km/s)
Through the space- (till now NO any planet is created)
Now -The Solar System needs To Create A Stationary Point Its velocity Zero relative to the moving wave its velocity is 300000 km/s
This is the basic information in the solar system design-
The solar system needs to create a stationary point relative to the wave motion- by that – two velocities will be found which are (v1= the wave velocity 300000 km/s) and (v2= Zero= the stationary point relative to the wave motion)–these two velocities produce a relative motion with different velocity 300000 km/s–
Notice – the stationary point velocity is 1 km/s (= Zero approximately)
Notice– The solar system is one wave moves by speed of light (C=300000 km/s), or the solar system is carried on light beam moves by speed of light (C=300000 km/s),
Everything in the solar system is carried on this one light beam motion- and nothing is static- No stationary point can be found here-
This is similar to ships are found on the sea- nothing is stopped- all ships move and can't stop- because the motion is done forcedly by the sea waves.
The stationary point will be similar to the whirlpool (vortex) found on the sea page-
We see the whirlpool doesn't move with the sea waves- for that the whirlpool can be considered as a stationary point relative to the sea waves.
But
The solar system needs to create the stationary point
Now – let's try to create this stationary point in following
The solar system uses two procedures to do that,
The first procedure
The wave its velocity 300000 km/s revolves around a point in space (any point in space), the revolution motion creates 2 equal velocities on both sides of the revolution- the two velocities are equal in value and opposite in direction- their total be equal Zero-means- the revolution motion creates One Stationary Point in the center of the revolution.
The second procedure
The previous idea is correct- but –the velocity 300000 km/s is a huge one and to decrease it to Zero velocity this is a complex process– for that- the wave (300000 km/s) created small waves with low velocities to use them as steps to decrease the velocity to Zero- the small waves are The Planets- (The planet is a small wave moves by low velocity relative to the mother wave its velocity 300000 km/s)
Why Are These Small Waves Required?
Because the velocity 300000 km/s is decreased to Zero by using these small waves and their low velocities- the low velocities are used as steps to decrease the wave velocity (300000 km/s) to be (Zero)- this process decreases the velocity gradually from 300000 km/s to Zero depending on these small waves velocities (the planets velocities)
Means- the planets are created for this process to decrease the wave velocity from 300000 km/s to Zero- and The Planet Is A Small Wave Moves By Low Velocity
Shortly – the solar system has one complete system of velocities, Starting from Zero to 300000 km/s where the planets velocities are the steps between the two velocities –
Please note clearly this idea- because-
The solar system has one motor for all motions which is the wave motion by speed of light (300000 km/s) No any other motor is found in the solar system
The planets are similar to carriages in one train but the train engine is the light motion by that the only motor under all motions in the solar system is the wave motion (speed of light 300000 km/s)
So, we have to ask- how can any planet move by a velocity Less than (300000 km/s)?
Because – The Planets Use Different Rates Of Time-
The rates of time is created based on the velocities rates –
For example-
Mercury velocity =1.6 Earth velocity, for that, one hour of Mercury clock= 1.6 hours of the Earth clock and by that Mercury and the Earth move equal distances in equal periods of time.
This is very important fact because – the light moves carrying all planets with it- Now the light moves (one motion) and passes (one distance) in (one period of time)
All planets will move (this same motion) and pass (this same distance) in (this same period of time)- but
We need different velocities for the planets to work as steps to decrease the velocity (300000 km/s) to Zero (Stationary point)- means- it's essential to have (different velocities) and that causes the using of the rates of time inevitable and essential method to enable the solar system to do its motion.
C- The Rate Of Time Use
(i)
The Rate Of Time Effect
The rate of time controls the moving energy rate-
For example (One Hour Of Mercury Clock = 24 Hours Of Pluto Clock)
What does that mean?
It means, Pluto motion energy (for 24 hours) can be used by Mercury in (one hour)
Here - the solar system is similar to a river of water moves from a point to another and the rate of time defines the amount of the transported water (energy)
In more details
The energy is transported among the planets and the amount of energy is defined by the rates of time- because- the energy transportation necessitates to transport the motion among the planets and the motion transportation caused to transport the rates of time among the planets-
(ii)
The Rate Of Time Use
We agreed that, the solar system has one motor only which is the wave moves by speed of light (C=300000 km/s)- means- no velocity can be less than speed of light unless it depends on a rate of time –
Means- all planets velocities are created based on rates of time- that causes the rates of time to be used in all motions in the solar system
Let's remember,
Planet motion energy creates waves in the space- we remember the accurate vision- we observed one swimming fish, the fish hits the water by its tail and swims, that creates a wave in the sea and this wave moves by the fish velocity because of the reaction-
Similar to that, Mercury (47.4 km/s) moves and its motion energy waves are created and these waves move by Mercury velocity (47.4 km/s) –BUT- Mercury velocity is created based on a rate of time- that causes the waves motions use rates of time-
I try to show how the gravitational waves motions depend on rates of time
For more clear vision
We have to consider that the solar system has one motor only and this motor is the wave moves by speed of light (C=300000 km/s) for that any motion in the solar system with velocity less than speed of light (must depend on rates of time)
The rates of time = the velocities rate –
Let's remember out example
Mercury velocity =1.6 Earth velocity by that (One second of Mercury clock = 1.6 seconds of the Earth clock)– by this rate of time Mercury and the Earth move equal distances in equal periods of time -
We understand the reason- where
The planets are geometrical points on the same one light beam- and this light beam moves carrying all planets with it- and
The light moves one motion, passes one distance in one period of time, for that, all planets move this same motion, pass this same distance in this same period of time
(iii)
The Solar Planets Basic Rates Of Time
Let's remember the basic rates of time
(one hour of Mercury clock = 24 hours of any planet clock) and
(one hour of Mercury clock = 576 hours of Saturn clock)
That causes
(one hour of any planet clock = 24 hours of Saturn clock)
This rate of time is defined by Mercury motion effect And
The major rate of time between the planet and light motion is
(one second of light clock = one solar day of the planet clock)
This rate is a complex one because there are 2 velocities of the light (as I proved)
The original velocity 1.16 million km per second and the known velocity 300000 km/s
Means
(one second of light 1.16 mkm/s = one solar day of the planet clock) and
(one second of light 300000 km/s = one solar day of the planet clock)
That causes the rate of time (1=24) to be so necessary to create the harmony between the planets and light motions- for that this rate (1=24) is used by Mercury motion
Notice
The rate of time is defined basically by the planets velocities as explained before – for example - Mercury velocity = 1.6 the Earth velocity- means – one hour of Mercury clock = 1.6 hours of the Earth clock
But the solar system energy is reflected three times in the solar system, and each reflection causes to square the velocity, by that, the rate of time (v1/v2) be growing to be (v1/v2)^3
That explains why the planets orbital periods rate = (their velocities rate)^3
Also all other planets data is worked as rates of time-
D- The Unified Wave Moves By Speed Of Light
Let's remember out equation
300000 km = 7.1 x (205.8)^2 where
7.1 is Lorentz length contraction effect for velocity 297000 km/s (= 0.99 C)
205.8 km/s = the 9 planets velocities total (176 km/s) + the Earth moon velocity
(The moon velocity =29.8 km/s = the Earth velocity because they revolve together)
Why does the data use the squared value (205.8)^2?
We know the answer- but - Let's remember it
The planets are geometrical points on the same light beam and move with its motion- for that- the planets velocities rates creates rates of time– for example- Mercury velocity = 1.6 the Earth velocity- that means – one hour of Mercury clock = 1.6 hours of the Earth clock- as I have explained before
Now- the velocity (205.8 km/s) move relative to the stationary point its velocity Zero (The Sun) and creates a rate of time (1 second = 205.8 seconds) –
(One Second Of The Unified Wave Clock = 205.8 Seconds Of The Sun Clock)
But – the energy is reflected in the solar system (I proved in the paper),
The energy reflection reflects the players – means
(one second of the Sun clock = 205.8 seconds of the unified wave clock)
means (one second of the sun clock = 205.8 seconds of any planet clock) –
Now during one second of the sun clock, the wave clock needs 205.8 seconds while the wave moves by a velocity 205.8 km/s- means –
During one second of the sun clock, the wave moves 42253 km = 300000 km /7.1
By that the velocity is 42253 km/s which is equivalent to the speed of light
Notice
The velocity 42253 km/s is equivalent to the speed of light 300000 km/s because of the length contraction effect rate (7.1) – because
The reflection of energy causes to reflect the geometrical effects and the rate 7.1 which caused (length contraction) will cause (length increasing)
The length contraction and increasing both effects are produced by the same one motion but the reflection of energy causes to reflect the geometrical effects.
E- Planet Velocity Analysis
DATA
My 5th equation (v1v2=322)- the planets velocities prove it–let's see that in following
322 = 47.4 km/s (Mercury velocities) x 6.8 km/s (Uranus velocities)
322 = 35 km/s (Venus velocity) x 4.7 km/s (Pluto velocity) x 2
322 = 29.8 km/s (the Earth velocity) x 5.4 km/s (Neptune velocities) x 2
322 = 24.1 km/s (Mars velocity) x 13.1 km/s (Jupiter velocity)
322 = (17.9 km/s)^2 (Ceres velocity) (Max error 2%)
DATA ANALYSIS
The previous data tells the planets velocities are defined by two features
(1st Feature)
The planets velocities are complementary one another –means - each planet velocity is complementary with another planet – means– The planets velocities are defined in pairs and not in single planets.
(Notice, the inner planets orbital inclinations are defined by the rule (v1/v2), for example, Mercury orbital inclination 7 deg = Mercury velocity 47.4/ Uranus velocity 6.8- that proves the effect of the rule (v1v2=322) on the planet motion)
(2nd Feature)
Why the constant is 322 because
1160000 seconds = 322 hours – means- there's a light velocity = 1.16 million km /s and this light moves for one second passes 1160000 km but we see this distance as a period (1160000 seconds =322 hours)- and - the planets velocities are defined based on this velocity 1.16 million km /s
Discussion
Ceres velocity tells the idea - Ceres is used as the origin point - as a result the outer planets be complementary with the inner planets – for that the rule (v1v2=322) controls the planets velocities.
(a)
The planets velocities are created based on one design- Ceres velocity is used as the origin point for this design
(b)
Shortly
Mercury (47.4 km/s) moves during 6.8 hours a distance = 1160000 km
Uranus (6.8 km/s) moves during 47.4 hours a distance = 1160000 km
And
Mars (24.1 km/s) moves during 13.1 hours a distance = 1160000 km
Jupiter (13.1 km/s) moves during 24.1 hours a distance = 1160000 km
(error 2%) - And
Earth (29.8 km/s) moves during 2 x 5.4 hours a distance = 1160000 km
Neptune (5.4 km/s) moves during 2 x 29.8 hours a distance = 1160000 km
And
Venus (35 km/s) moves during 2 x 4.7 hours a distance = 1160000 km
Pluto (4.7 km/s) moves during 2 x 35 hours a distance = 1160000 km
(error 2%)
Notice - Saturn (9.7 km/s) moves during 33.2 hours a distance = 1160000 km
(between 33.2 and Venus velocity 35 km/s the error 5%)
(c)
The planets velocities definition depend on the speed of light 300000 km/s
As we have seen before in the equation
300000 km = 7.1 x (205.8)^2
Here we see the planets velocities are defined based on two velocities which are – the speed 1.16 million km per second and the light speed 300000 km/s- that's one proof among many others which prove the coherence of light is done between the light 1.16 million km per second and the light 300000 km/s
Why is it necessary to review the planet velocity analysis here?
Because the planet velocity analysis proves the sun is created after all planets creation and motion -Let's see that in the next point
F- The Sun Is Created After All Planets Creation And Motion (Proves)
We analyzed the planet velocity definition before, let's remember its basic feature
DATA
We remember the rule (v1v2=322) (my 5th equation)– let's prove it
322 = 47.4 km/s (Mercury velocities) x 6.8 km/s (Uranus velocities)
322 = 35 km/s (Venus velocity) x 4.7 km/s (Pluto velocity) x 2
322 = 29.8 km/s (the Earth velocity) x 5.4 km/s (Neptune velocities) x 2
322 = 24.1 km/s (Mars velocity) x 13.1 km/s (Jupiter velocity)
322 = (17.9 km/s)^2 (Ceres velocity) (Max error 2%)
DISCUSSION
The data tells
The Planets Velocities Are Defined Based On One Design
The planets are added in pairs in the solar group- means- No single planet can be added to the solar group
Now we have to ask
Can We Add A New Planet To The Solar Group?
Let's answer in following
I add a new planet after Pluto
I suppose the new planet orbital distance to be =7000 million km
This new planet velocity will be 4.3 km/s (We can define it by kepler law)
Now we need the complementary planet because of the rule (v1v2 =322)
(322 =4.3 x 75), means, the complementary planet velocity is 75 km/s
Where can we find a planet its velocity 75 km/s? this planet must be in the distance between the Sun and Mercury –
This planet orbital distance should be 23.2 million km
(57.9/23.2) = (75/47.4)^2 where
(57.9 million km = Mercury Orbital Distance) and (47.4 km/s) Mercury velocity
Shortly –
It's hard to add any planet in the distance between Mercury and the Sun- means- we can't add any new planet to the solar group because of the Sun existence.
But-
How Could The Found Planets Be Added To The Solar System?
The Sun is created after all planets creation and motion- means – after all planets be in their orbits the Sun is created- In details-The planets were created in their orbits and revolve around a point of space, before the sun creation, and later the sun is created in this point of space around which the planets revolve
Because - technically- the Sun existence prevents to add any new planet to the solar system and also the Sun existence prevents any planet to change its orbit
(For example- Mars original orbit was between Mercury and Venus and Mars had migrated to its current orbit before the Sun creation And Mars couldn't return to its original orbit because of the Sun existence ) (Mars Migration is proved in the paper)
Notice
This analysis is another proof for my theory tells (The Sun Rays Is Created By The Planets Motions Energies And Nut By The Sun Nuclear Fusion)
Shortly
The sun rays can NOT be created without the solar planets because the sun rays are created from the planets motions energies – logically the planets are found and moving before the sun creation-
(Point No. 3) Saturn Motion Effect On The Solar System Motion
Let's remember our question
Can The Sun Rays Creation Process Depend On Saturn Motion?
The question tells us (If Saturn Is Not Found In The Solar System The Sun Rays Can Not Be Created)- Let's ask (what's Saturn role in the solar system motion?)
The main rates of time are
(one hour of Mercury clock = 24 hours of any planet clock = 576 h of Saturn clock)
That causes (one hour of any planet clock = 24 h of Saturn clock)
This rate of time is changed slightly by the velocities effect to produce the nest rate
205.8 km/s = 9.7 km/s (Saturn velocity) x 21.4 second
205.8 km/s = the planets velocities total
The data tells
(one hour of any planet clock = 21.4 h of Saturn clock)
And Saturn created its rotation period (10.7 h) based on this rate (21.4 = 2 x 10.7 h)
The data shows- Saturn has the smallest rate of time in the solar system and by that Saturn moves more than any other planet- in fact
In the same period - Saturn moves a distance = all planets motions distances total
Shortly -the Sun rays is created by the planets motions energies BUT Saturn motion alone provides (50%) of all this energy – that makes Saturn the most important planet in the solar system -and because of that- Saturn motion provides the greatest rate of time in the solar system and based on this rate of time the sun rays is created
Shortly
The Sun rays creation depends directly on Saturn motion because Saturn provides (50%) of all provided energy for the sun rays and because Saturn motion creates the rate of time based on which the energy can be stored to produce the sun rays
Saturn is the motor behind the sun rays creation process – I analyze Saturn data in details in point no. (3) of the paper because Saturn data proves that – the planets motions causes to create the sun rays clearly
The Paper hypotheses
The paper provides 4 hypotheses with their explanations and proves – let's provide them in following
Hypothesis No. (1)
The space is created from one energy and this energy is provided by a light beam moves by a speed 1.16 million km per second – the speed is registered in the created space proves the speed is a fact.
Hypothesis No. (2)
The Gravitational Waves Are Produced By The Planets Motions Energies And Not By The Sun Gravitational Field– Moreover- The Sun Does NOT Produce A Gravitational Field And It Has No Massive Gravity-
Hypothesis No. (3)
Mars original orbit was between Mercury and Venus and Pluto was The Mercury Moon (Pluto size was equal Mercury size) But these two planets had migrated from their original orbits as a result for a collision- the planets migration caused a risk for the solar system geometrical design- Uranus and Jupiter the Two planets worked to repair the solar system design– that caused Jupiter orbit to be the main orbit in the solar system design- Jupiter orbit proves the speed 1.16 million km per second is a fact.
Hypothesis No. (4)
The Sun Is a phenomenon created by the planets motions
The sun rays is created from the gravitational waves motions energies and the gravitational waves are produced by the planets motions energies-
Based on that
The Sun Is A Phenomenon Created By The Planets Motions
And
The Sun Is NOT Doing Nuclear Fusion To Produce Its Rays- instead- The Planets Motions Energies Total Is Used To Produce The Sun Rays
The Sun Is Created After All Planets Creation And Motion –
Means
The Planets Are Created And Moving In Their Orbits Around A Point Of Space Before The Sun Creation- And The Sun Is Created On This Point Of Space around which the planets revolve –
And
No Planet moves by The Sun Gravity (Newton is Wrong) –
And
The Sun Doesn't Produce A Gravitational Field (Einstein Is Wrong)
And
The Sun Is A Phenomenon Created By The Planets Motions– means-The Sun creation and death depends on a cycle – means – after this current sun death another sun will be created for the solar system.
The Hypotheses Explanation
The abstract provides the hypotheses explanation and the paper provides their proves and discussions- In following the hypotheses will be explained in details
NOTICE –
The creatures and all matters on the Earth are created from the sun light energy and the sun light speed is 300000 km/s, because of that, the creature realization is limited to the speed 300000 km/s and can't realize the original speed (1.16 million km per second) that means the speed 300000 km/s is a limit for the creatures realization and not for the universe design.
Hypothesis No. (1)
The space is created from an energy and this energy is provided by a light beam moves by a speed 1.16 million km per second – the speed is registered in the created space which proves the speed is a fact
The Hypothesis Explanation
I- The Space Is Created By One Light Beam Energy- And This Light Beam Speed Is 1.16 million km per second
I-1 Preface (the main idea)
I-2 The Space Creation Method (the distances are one network)
I-3 Light Coherence between light (1.16 million km /s) and light (300000 km/s)
I-4 The Matter definition (based on my planet diameter equation)
I-5 The Planets Creation
I-6 Can The Time Machine Be A Fact?
The Hypothesis Proves
I-7 The Proves Logic Analysis
I-8 Planet Velocity Is A Function In A Speed = (1.16 million km /s)
I-9 Planets Orbits Are Defined By A Motion Its Speed = (1.16 million km /s)
I-10 Jupiter distances are defined by a motion by a speed = (1.16 million km /s)
I-11 The Solar System Geometrical Design Proves The Hypothesis
I-12 The Solar System Distances Analysis Prove The Hypothesis
I-13 Deep Analysis For The Planets Orbits
1-14 Light defines each planet orbital period
I-15 Can Planet Diameter Be Used As A Period Of Time
I-16 Mercury Orbit Analysis
I-17 The Planets Data Is Created By The Light Motion Directly
I-18 Light Defines Each Planet Rotation Period
I-1 Preface (The Main Idea)
The solar system (planets and distances) is created from one energy and this energy is provided by one light beam and this light beam moves by speed (1.16 million km/s)
The space is created before the planets creation-
Let's write the whole story in following
The light beam (1.16 million km per second) started its motion from Mercury orbit moves toward Pluto orbit– by that– we consider Mercury orbit is the origin point-
Now- we should notice- No planet is created yet- the motion from Mercury orbit to Pluto orbit defines the motion direction- and No planet is created before this motion end nor during this motion- the planets will be created after this motion is finished means when the light 1.16 million km per second reaches to Pluto (orbit)- after this event – the planets will be created –as I will explain later
Notice
The light (1.16 million km per second) creates the distances by its motion- means- the light moves from Mercury point to Venus point– the distance from Mercury to Venus was not found and is created only by the light motion through it for first time- means – before the light motion this distance was NOT found- It's found after the light moves through this distance for first time-
This is similar to the blood motion through the arteries, the blood creates these arteries and the blood moves through these arteries, but the blood created these arteries with its first motion and that needed energy- but – after the arteries creation the blood move through them without any energy is required- means- the first motion is the most important one because by it the arteries are created
Shortly- The space is created from the energy of this light beam its speed 1.16 million km per second – NOW- after the Space creation- the light beam energy is decreased because of the energy consumption in the space creation process- and the rest energy is one light beam its speed is (C=300000 km/s =the light known speed) – But - We understand that- it's the same one light beam- its speed was 1.16 million km /s before the space creation- and the light created the space and that caused to consume the light energy and that caused to decrease the light speed to be 300000 km/s
Shortly- the light beam started its motion from Mercury (orbit) with speed 1.16 million km /s and reaches to Pluto (orbit) with a speed 300000 km/s because of the energy consumption in the space creation process
Let's give example to explain this idea
Imagine we create A Sea Of Water- we use energy to create this sea of water- now we have some energy and we use this energy to create this sea of water- BUT- our energy is NOT spent completely But there's a small part still rest with us – this small part of energy is used to create one wave moves through this sea and this wave speed is 300000 km/s (I suppose the space is similar to the sea of water)
Now – the rest energy is found in one light beam its speed 300000 km/s and this light beam is found NOW in Pluto Orbit – and this light beam will be reflected from Pluto orbit toward the inner planets– means- the rest energy will move in the reflected direction to the original light motion direction.
This idea will be explained in details in the next point- shortly
The light beam (300000 km/s) will be reflected from Pluto toward the inner planets
AND the light 300000 km/s will meet the original light beam (1.16 million km per second) in the origin point (in fact – beside the origin point) and there's a coherence of light is done between the light beam (300000 km/s) and the light beam (1.16 million km per second) – this coherence of light is proved strongly- we have to ask (how can that be possible while the light beam 1.16 million km /s is consumed and the new light beam 300000 km/s is the rest energy? how this light beam (300000 km/s) can meet the original one (1.16 million km per second)? in points no. (I-3) and no.(I-6) I answer this question.
Notice (1) I suppose the rest energy is a light beam its speed is (C=300000 km/s) but this idea is for simplicity- the rest energy can be in any wave form its speed (C=300000 km/s) – no necessity to be in visible light beam form
It's simply energy moves by the known speed of light (C=300000 km/s)
Notice (2)
All Planets Orbits Are Defined Before Any Planet Creation-
The light used the distance from the sun to Pluto as one area and create one geometrical design for this area before any planet creation
Notice (3)
The planets are created from the rest energy its speed (300000 km/s) – means- the space is created by the light 1.16 million km per second and the energy is consumed in the space creation and the rest energy is one light beam its speed 300000 km/s (or one wave moves by the known speed of light C=300000 km/s) – the solar planets are created from this one wave its speed 300000 km/s and that means all planets orbit are created and defined before any planet creation
Notice (4)
The Sun Is Created After All Planets Creations And Motions
The sun is a phenomenon created by the planets motions energies total
The sun doesn't produce a gravitational field and doesn't have massive gravity
Logically – No planet moves by the sun gravity
(The Planet Moves With The Energy From Which The Planet Is Created – Newton is wrong- later we discuss the proves)
Notice (5)
The child (fetus) inside his mother is created by the blood motion- the blood motion creates arteries for this child and through these arteries the blood moves also but the arteries themselves are created by this same blood motion- Similar to that- the distances are created by the light motion energy and the light moves through these distances also but originally these distances themselves are created by the light motion energy- means the distances creation is done with the first time of the light motion through them - that required energy- but after the distances are created no more energy is required- the light (or planet) can pass simply through these distances
I-2 The Space Creation Method (the distances are one network)
Data
778.6 = 1.16 x 671
721 = 1.16 x 621
629 = 1.16 x 543
543 = 1.16 x 468
5906 = 1.16 x 5127
These numbers are distances in (million km)
778.6, 721, 671, 629, 551 are Jupiter distances to the sun, Mercury, Venus, Earth and Mars respectively- 5906 and 5127 Pluto distances to the sun and Jupiter respectively
468 = 936 /2 where (940 million km = the Earth orbital circumference)
Discussion
(1)
The previous data tells us how the light beam motion creates the distances-
Simply the light uses a distance as (a period of time) and travels through this period another distance- that can be understood clearly from Jupiter distances- let's look deeply as possible
The light beam (1.16 million km per second) uses the period 629 seconds to pass a new distance = 729 million km (Mercury Jupiter distance is 721 million km error 1%) – where 629 million km = Jupiter Earth distance
Also
The light beam (1.16 million km per second) uses the period 671 seconds to pas a new distance =778.6 million km (Jupiter orbital distance)
where 671 million km = Jupiter Venus distance
by this method the light creates the distances based on each other- and that makes all distances to be created depends on one another and that makes all distances in the solar system to be One Network where all distances are created based on the same One Geometrical Design
(2)
The data shows the creation method- and we understand that- the distance 551 million km (Jupiter Mars Distance) is created firstly and the light (1.16 mkm/s) used this distance as a period of time (551 sec) and the light travels during this period a distance =(639 million km where 629 million km is Jupiter Earth distance error 1.5%) and then the light uses the new distance (629 mkm) as a period of time (629 sec) and the light travels during this period a distance = (729 million km – where 721 million km = Mercury Jupiter distance – error 1%)
The data shows the method clearly and we understand the light original motion started from Mercury orbit to Pluto orbit because the distances are created based on one another in that direction of motion as explained clearly
(3)
New data NO. (1)
2723 sec x 2 x 300000 km/s = 1622 million km – where
2723 million km = Uranus Earth Distance
1622 million km = Uranus Neptune Distance
The data shows- the light beam its speed (C=300000 km/s) is in proportionality also with the created distances but this proportionally is found in Reflected Direction
Logically, The light can NOT move from Uranus to Neptune and after that the light returns to move from Uranus to the Earth- it's simply reflected direction
The distances are NOT created by the motion of this light beam (300000 km/s) – but the distances are created by the motion of the original light beam (1.16 million km per second) but the proportionality between the distances with the light (300000 km/s) is found because there's a proportionality between the original one (1.16 million km per second) and this light beam (300000 km/s) – AND
Because the light (300000 km/s) moves in the reflected direction of the original light beam (1.16 million km per second) that causes the proportionality between the distances and the light (300000 km/s) be in a reflected form
New data NO. (2)
2094 sec x 300000 km/s = 629 million km
2094 million km = Uranus Jupiter distance
629 million km = Earth Jupiter distance
The light (300000 km/s) moves in reflected direction- for that- the distance 2094 million km is used as a period of time to pass a new distance (629 mkm)
The data proves the idea clearly
Notice (1)
The proportionality between the light (1.16 million km/s) and the light (300000km/s) will be discussed in point no. (I-3)
Notice (2)
In Point (**) I prove the gravitational waves are produced by the planets motions energies- and I prove that – the planets motions energies move toward Pluto and this energy is reflected from Pluto toward Venus- this fact is proved by powerful data and proves- for that – I don't explain in details the light motion trajectory from Pluto toward the inner planets because this motion trajectory is studied in details in the hypothesis No. (2) of this discussion- understandable that- the planets motions energy trajectory is the same trajectory the light moves through it – means this trajectory is studied in details and powerful proves in point no. (**)
Notice (3)
Jupiter Distances Analysis shows that Jupiter orbit is the central orbit for the light (1.16 million km per second) based on which all planets orbits are defined.
But – this is not the first creation case –
The light (1.16 million km per second) created the planets orbits based on each other starting from Mercury orbit moves toward Pluto orbit – this is the fist creation case – and this fact is proved strongly in point no. (I-9*)
BUT
Mars had migrated from its original orbit (Mars original orbit was between Mercury and Venus) and Pluto had migrated also (Pluto Was The Mercury Moon revolves around Mercury and Pluto size was equal Mercury size)
The planets migration caused a serious risk for the solar system geometrical design- Uranus was the first planet tried to repair the solar system geometrical design and to save it- by that
Uranus created a vertical effect on Jupiter orbit to fix Jupiter in its orbit and prevent it to migrate with the migrant planets- and based on Jupiter orbit the other planets orbits are modified – that supported the solar system original design and saved it which causes to protect the geometrical design from the destruction.
As a result
That causes Jupiter orbit to be the most important orbit in the solar system- the paper third hypothesis explains the planets migration and Jupiter orbit analysis is done with the solar system design analysis (I-11*)
I-3 Light Coherence between light (1.16 million km /s) and light (300000 km/s)
(1)
The Coherence Of Light
The previous explanation told us that we have 2 light beams-
The original light beam its speed (1.16 million km per second) and it started its motion from Mercury orbit to Pluto orbit (where Mercury orbit is the light motion origin point) – and this light beam created all distances in the solar system and lost its energy in the space creation process and the rest energy is one light beam its speed is (C=300000 km/s)
The other light beam is the rest energy- its speed is (C=300000 km/s) and it moves in a reflected direction from Pluto toward Venus and Mercury-
Now – we have a coherence of light between these two light beams- the coherence is proved by powerful proves BUT firstly we have to ask (how can this coherence be occurred)? Because the original light (1.16 million km/s) is consumed and its energy is used already and the rest energy is this light its speed is (300000 km/s) - HOW can the light (1.16 million km/s) meet the light (300000 km/s)??
Imagine we have (116 dollars) and we spent all money except (30 dollars)- how can this (30 dollars) meet the original money (116 dollars)??
Let's write the answer
Suppose the light beam (300000 km/s) moves in the reflected direction (in the space) and also (in the time) – that can enable the light (300000 km/s) to meet the original one (1.16 million km/s) in the past and the coherence will be done there in the past- and we see the coherence results and effects on the solar system -
Means – the light (300000 km/s) moves into the past and found the original light (1.16 million km/s) in the past
Notice No. (1)
The original light beam (1.16 million km/s) can NOT move toward the future to meet the light (300000 km/s) because in the future the original light beam (1.16 million km/s) is NOT found –by that – the coherence can't be occurred in the future - But – the light (300000 km/s) can move into the past because this light beam (300000 km/s) was found in the past because it's a part of the original light beam (1.16 million km/s)
Notice no. (2)
I prove the coherence is done by powerful proves- that tells- this idea is a fact–means- there's a strong proof tells (in fact the light beam 300000 km/s moved into the past) and if we can use this feature practically we can get photos from the past events and by that we can have photos from the catastrophe which killed the dinosaurs and know much better about what had happened really in that time - This can be a real machine of time – the light motion into the past is a strong method to perform this invention.
Notice no. (3)
Why Can NOT We Move Into The Past As We Move Into The Future?
This question is answered in point no. (**)
(2)
The Light Coherence Proves
First Proof
The planets order is typical to the interference of Young –
In the double slits experiment, Young Interference is consisted of bright fringes and dark fringes - If we consider planet diameter is equivalent to bright fringe – we will see that- the planets order is typically to Young interference because
Jupiter (the greatest fringe) is in the middle and the fringes width is decreased gradually on both sides – typically to the planets order
Notice / I have proved that (Mars original orbit was between Mercury and Venus) if we restore Mars to its original orbit the order will be typical to the Young Interference
(I prove this fact in point no. **)
Second Proof
The planets velocities are defined based on the speed (1.16 million km per second) and the planets velocities analysis shows the speed (300000 km/s) is the planets motions limit- means- the planets velocities are defined based on both velocities (1.16 million km per second) and (300000 km/s) I prove this fact in point No. (**)
Third Proof
The light coherence defines the solar day period (24 hours) which is the solar system design cornerstone
(1.16 /0.3) x 2π = 24.3
By this equation the space and time are created- the equation tells–the space is created in curves (2π) and the time is created in units each unit is (24 hours)
Please note – the solar system geometrical design depends on the light motion in a solar day (24 hours = 86400 seconds)
The light (1.16 million km per second) moves in a solar day (86400 seconds) a distance = 100733 million km (= the planets orbital circumferences total)
Fourth Proof
The planets data prove there's a speed (1.16 million km per second) found in the solar system but the sun light beam moves by speed (300000 km/s) that tells the two speeds are facts and found in the solar system and the coherence between them is a logical result
The hypothesis proves discuss many powerful proves for this fact-
Notice- the coherence of light is a very important fact because it tells the light (300000 km/s) moved into the past and by that gives us a proof for the motion on the time axis- for that – many powerful proves support this fact.
I-4 The Matter definition (Based On My Planet Diameter Equation)
(1)
Let's remember my planet diameter equation
Planet Diameter Equation (v1/v2)= (s/r)= I
v = Planet Velocity
r = Planet Diameter
s= Planet Rotation Periods Number In Its Orbital Period
I= Planet Orbital Inclination (example, 1.8 degrees be produced as a rate 1.8)
v2, s, r and I are belonged to one planet and v1 is belonged to another planet
The planet (v1) is defined by test the minimum error
Earth Equation uses Neptune velocity
Mars Equation uses Pluto velocity
Jupiter Equation uses the Earth moon velocity
Saturn Equation uses Mars velocity
Uranus Equation uses Neptune velocity (As Earth)
Neptune Equation uses Saturn velocity
Pluto Equation uses the Earth moon velocity (As Jupiter)
(The Equation works from The Earth To Pluto) (the discussion explains the reason)
Example
Neptune Equation (89143 /49528) = 9.7/ 5.4 =1.8
89143 = Neptune rotation periods number in Neptune orbital period
49528 km = Neptune diameter
9.7 km/s = Saturn velocity
5.4 km/s = Neptune velocity
59800 days = Neptune orbital period (and Neptune rotation period =16.1 hours)
1.8 degrees = Neptune Orbital Inclination
(the equation is proved and discussed in details in point no. **)
(2)
Can We Define The Matter Nature Based On My Planet Diameter Equation?
The equation tells, the matter is created based on its motion! means Neptune diameter is 49528 km because Neptune velocity is 5.4 km/s!!
That tells the motion with velocity 5.4 km/s is defined before Neptune diameter is created! Can we understand such definition for the matter nature? let's try
(A)
The Matter Nature
The space and matter are created from the same original energy and they move with this original energy motion- BUT the matter has a distinguish picture and different velocity from the space picture and velocity (notice- The Gravitational Waves Prove That The Space Has A Motion)
If we suppose the space is similar to the sea of water, the matter be similar to a whirlpool or a vortex found on the sea page- means- the matter is a geometrical design has a distinguish picture from the space- as the whirlpool, it's created from the sea water but it has a distinguish picture from the sea waves picture
Means
The whirlpool is carried by the waves motion- and- the matter is carried by its original energy and moves with it- No Mass gravity is required for the matter motion- means- the matter is MOVABLE by nature.
Also
The whirlpool dimensions are defined by the water motion - for example- we have a whirlpool its diameter is (2 meters)- this diameter is defined by the sea water motion features (velocity, pressure and other motion features) by that- the water motion analysis explains how the whirlpool dimensions are created
Also- the whirlpool is created but the creation requirements are needed every day- means- even if this whirlpool is found since years it can be changed immediately if the water motion features are changed- means- the whirlpool creation process is NOT a historical one.
Also- the matter is similar to a creature muscle, the muscle is found based on the blood motion and without this motion the muscle can be changed or removed.
Shortly
The Original Energy Was Found In Motion By Itself (As Moving Light Beam)
From This Moving Energy The Planet Matter Is Created
The Created matter dimensions are defined by the features of this original energy motion (means the planet creation data is defined by the energy motion features)
After the planet creation- The Planet Moves With This Original Energy – means- the created planet moves a motion depending on the motion of this original energy because the planet moves with this original energy motion- and – the planet moves by this original energy motion (No mass gravity is required to cause the matter motion)
The planet creation data is in full harmony with its motion features- this fact is produced logically because the planet data is defined by the original energy motion features.
This explanation tells (Neptune diameter is 49528 km because Neptune velocity is 5.4 km/s)
Example For Explanation
We agreed that the space is similar to the sea of water and the planet (matter) is similar to a whirlpool found on the sea page- this picture explains the idea clearly- because
We see the whirlpool doesn't move by the sea water waves velocity but by another velocity and that shows a distinguish in form and motion between the whirlpool (the planet) and the sea waves (the space)- BUT- the whirlpool dimensions are defined based on the sea water motion features- and if the motion features are changed the whirlpool dimensions will be changed also- also the whirlpool moves by the sea water motion even with a different velocity relative to the sea waves velocity but the whirlpool motion still is caused by the sea water motion- based on this picture we can say (because the water motion velocity is 80 km/h that causes this whirlpool diameter to be 2 meters "for example') – this is perfectly our sentence – let's remember it
(because Neptune velocity is 5.4 km/s that causes Neptune diameter to be 49528 km)
This idea is proved by my planet diameter equation (my fourth equation) (point No.**)
(B)
Now The velocity is a motion in (A Defined Direction)
Means– the matter is created because it depends on a motion in a defined direction- as we have seen- Neptune diameter is 49528 km because Neptune velocity is 5.4 km/s but this velocity is a motion in defined direction- and that tells Neptune creation depends on a motion in the direction of the (x axis positive "+x ") (for example)
That tells, if this motion moves in (x axis negative "-x ") that will cause Neptune diameter to be changed or perished
Means- the matter creation needs a motion in A Defined Direction
Now let's ask our question
Why Can't The matter (creature) Moves Toward Its Past?
Because the matter depends on a motion in one defined direction- that causes the matter moves into (the future) always and can't move into (the past) let's discuss this question more deeply in point no (I-6)
Notice
No Planet Moves By The Sun Gravity (Newton is wrong) – logically because- the planet moves by its creation force- means- the planet creation and motion should be done by one force only (one energy only) because if two forces have effects on the same one planet- this planet will be broken- this fact is proved strongly with the gravitational waves source discussion (Point no.**)
I-5 The Planets Creation
I summarize the main idea in following and the idea proves and discussions are found in point no. (**)
(i)
We know, the solar system is created from energy of one light beam its speed is 1.16 million km per second- and – the light created the space (the planets orbits) firstly and the energy is consumed in the space creation- and for that- the rest energy is found in one light beam its speed is 300000 km/s - And
From this light beam 300000 km/s the solar planets are created
Shortly
before the solar planets creation
The solar system was one light beam (or one wave moves by speed of light (300000 km/s)- by that – the solar system is One Wave moves by speed of light (300000 km/s)
Now
The Solar System needs To Create A Stationary Point Its velocity Zero relative to the moving one wave (300000 km/s)
This is the basic information in the solar system design-
The solar system needs to create a stationary point relative to the wave motion- by that – two velocities will be found which are (v1= the wave its speed 300000 km/s) and (v2= Zero= the stationary point velocity relative to the wave motion)–these two velocities produce a relative motion with different velocity 300000 km/s– this relative motion is the solar system design cornerstone.
Shortly – the solar system needs to create A Stationary Point
Notice– The solar system is carried by the light beam motion, NO stationary point can be found here – it's similar to a ship on the sea water- Nothing can stop- because the motion is done forcedly by the sea water –
The stationary point will be similar to the whirlpool (vortex) on the sea page- BUT
The solar system needs to create this stationary point - Now – let's try to create this stationary point in following - The solar system uses two procedures to do that,
(ii)
The first procedure
The wave its velocity 300000 km/s revolves around a point in space (any point in space), the revolution motion creates 2 equal velocities on both sides of the revolution- the two velocities are equal in value and opposite in direction- their total be equal Zero-means- the revolution motion creates A Stationary Point in the center of the revolution.
The second procedure
The previous idea is correct- but –the velocity 300000 km/s is a huge one and to decrease it to Zero velocity this is a complex process– for that- the wave (300000 km/s) created small waves with low velocities to use them as steps to decrease the velocity to Zero- the small waves are The Planets- (The planet is a small wave moves by low velocity relative to the original wave its velocity 300000 km/s)
Why Are These Small Waves Required?
Because the velocity 300000 km/s is decreased to Zero by using these small waves and their low velocities- the low velocities are used as steps to decrease the unified wave velocity (300000 km/s) to be (Zero)- this process decreases the velocity gradually from 300000 km/s to Zero depending on these small waves velocities (the planets velocities)
Means- the planets are created for this process to decrease the wave velocity from 300000 km/s to Zero- and The Planet Is A Small Wave Moves By Low Velocity
Shortly – the solar system has one complete system of velocities, Starting from Zero to 300000 km/s where the planets velocities are the steps between the two velocities – let's prove that here
(iii)
300000 km = 7.1 x (205.8)^2 where
7.1 is Lorentz length contraction effect for speed 297000 km/s (99% of speed of light)
205.8 km/s = the 9 planets velocities total (176 km/s) + the Earth moon velocity
(The moon velocity =29.8 km/s = the Earth velocity because they revolve together)
Why does the data use the squared value (205.8)^2?
We know the answer- but - Let's remember it
The planets are geometrical points on the same light beam and move with its motion- for that- the planets velocities rates creates rates of time– for example- Mercury velocity = 1.6 the Earth velocity- that means – one hour of Mercury clock = 1.6 hours of the Earth clock- Why??
Because Mercury and the Earth are carried by the same one light beam- the light moves one motion and passes one distance in one period of time- by that Mercury and the Earth have to move this same motion and to pass this same distance in this same period of time- but the two planets velocities are different- for that- the planets use different rates of time based on their velocities rates and by that the planets move equal distances in the same period of time –
Now- the velocity (205.8 km/s) moves relative to the stationary point (Zero) and creates a rate of time (1 second = 205.8 seconds) –
(one second of the unified wave clock = 205.8 seconds of the stationary point clock)
But – the energy is reflected in the solar system (I prove that in point no.**),
The energy reflection reflects the players – means
(one second of the stationary point clock = 205.8 seconds of the unified wave clock)
The stationary point will be THE SUN – by that
(one second of the sun clock = 205.8 seconds of the unified wave clock) – means
(one second of the sun clock = 205.8 seconds of any planet clock) –
Now during one second of the sun clock, the wave clock needs 205.8 seconds while the wave moves by a velocity 205.8 km/s- means –
During one second of the sun clock, the wave moves 42253 km = 300000 km /7.1
That creates the different velocity 300000 km/s between the sun motion and the wave motion-
Notice 1
The wave (205.8 km/s) moves during 1461 seconds a distance = 300000 km, and we know the Earth cycle (1461 days = 365 +365 +365 +366)
That tells, the speed of light (300000 km/s) is performed by the rate of time and that causes to create the Earth cycle-
Notice 2
Planet velocity is created by the rate of time- means- if no rate of time can be used – No planet velocity can be created – instead- all motions will be only by speed of light (300000 km/s)- the planet can create a small velocity because it can use rate of time
We realize that clearly because
The planets motions depend on the light motion- by that – the motion is done by One Motor only which moves by speed of light (300000 km/s), the planets can only move by speed of light or create a rate of time for their smaller velocities - No more options are provided.
Notice 3
We understand that, the planets are geometrical points on the same light beam, means
The planets are similar to carriages in one train and the light motion is the train engine means the planets are carried on the light beam and move with this light motion
I-6 Can The Time Machine Be A Fact?
To answer this question we need to review basics facts we have studied – let's do that in following
(1)
The solar system is created from one energy and this energy is provided by one light beam
(2)
The light moves simply and freely in any direction (for space) and (for time)- means- the light can move into the future (as matter does) or into the past (which the matter can Not do)
(3)
We know, the solar system is created from one light beam, and this light moves by a speed (1.16 million km per second) - And
We know, the light (1.16 million km per second) created the planets orbits firstly before any planet creation and the energy is consumed in the space creation and because of the energy consumption the light speed is decreased from (1.16 million km per second) to the known speed of light 300000 km/s – also
We know, the light (1.16 million km per second) started its motion from Mercury orbit moves toward Pluto- that means- the light (1.16 million km per second) started from Mercury orbit with speed (1.16 million km per second) and the light created all planets orbits till Pluto orbit- before any planet creation- and by that- the light lost its energy and the light beam in Pluto orbit reduced its speed to be 300000 km/s as a result for the energy consumption in the space creation process
(4)
Also we know the energy is reflected from Pluto toward Venus (the inner planets)
By that the light beam (300000 km/s) moves in the reflected direction to the original light beam (its speed 1.16 million km per second)
And – we know-
The light beam (300000 km/s) reaches to the original point (Mercury Orbit) from which the light (1.16 million km per second) started its motion
And we know that
A coherence of light is done between the original light beam (1.16 million km per second) and the light beam (300000 km/s)
BUT we don't know how such coherence can be occurred? Let's analyze that deeply in following
(5)
The produced light beam (300000 km/s) moves in (the reflected direction) to the direction of the original light beam (1.16 million km per second) (In Space) and reaches to Mercury orbit (the origin point)
But– logically – the produced light beam (300000 km/s) can NOT find the original light beam (1.16 million km per second) there because the original light beam is consumed already in the space creation process and the rest energy is this produced light beam (300000 km/s) – based on that –
How Can This Coherence Be Occurred? Means-
How can the produced light beam (300000 km/s) meet the original light beam (1.16 million km per second)? The answer is
The produced light beam (300000 km/s) moves (in the reflected direction) to the motion direction of the original light beam (1.16 million km per second) (In Space) and (In Time) Means- the produced light beam moves into (Its Own Past) and in the past this produced light beam (300000 km/s) was (A Part of the original light beam 1.16 million km per second) and because of that the produced light beam (300000 km/s) can meet the original light beam (1.16 million km per second),
And
The two light beams create a coherence (in the past) and we see the results of this coherence in our present time-
The idea is very important because – the coherence of the two light beams (1.16 mkm/s and 0.3 mkm/s) is proved strongly and with powerful proves and any explanation for this coherence will prove that the produced light beam (300000 km/s) must move Into The Past to enable this coherence occurrence- and that tells clearly- the travel through the time is possible and fact
BUT
Can the matter moves into its past as the light does? NO
Why?? Because
We know the light can move simply in any direction (+ x, + y, + z, + t) by that the light can move into the future and can move into the past BUT
The matter creation depends on A Motion In A Defined Direction-
let's remember this idea
Neptune diameter =49528 km because Neptune velocity is 5.4 km/s
(This Fact Is Proved By My Planet Diameter Equation)
Now, Neptune velocity is a motion in a defined direction
(for example a motion in +x direction)
The energy moves in this direction (+x direction) and because of this motion Neptune matter is created and Neptune diameter is defined- now if the energy moves in (opposite direction "–x direction") that will change Neptune diameter or cause to perish its matter at all
Means- as long as – Neptune is found- that means – the energy moves in one direction (and not two directions) – for that Neptune can move into the future but can NOT move into the past.
Notice
The matter can not move into the past but the light can do that-
Means- we have the time machine already- we need to know how to send the light into the past and by that we can have photos from the past events- and this will be The Time Machine
The Hypothesis Proves
I-7 The Proves Logic Analysis
I-8 Planet Velocity Is A Function In A Speed = (1.16 million km /s)
I-9 Planets Orbits Are Defined By A Motion Its Speed = (1.16 million km /s)
I-10 Jupiter distances are defined by a motion by a speed = (1.16 million km /s)
I-11 The Solar System Geometrical Design Proves The Hypothesis
I-12 The Solar System Distances Analysis Prove The Hypothesis
I-13 Deep Analysis For The Planets Orbits
1-14 Light defines each planet orbital period
I-15 Can Planet Diameter Be Used As A Period Of Time?
I-16 Mercury Orbit Analysis
I-17 The Planets Data Is Created By The Light Motion Directly
I-18 Light Defines Each Planet Rotation Period
I-7 The Proves Logic Analysis
Why can we prove that, a light beam its speed 1.16 million km per second is found in the solar system? also, the theory tells this light beam energy is consumed and the rest energy is found in one light beam its speed 300000 km/s (the known speed of light), if this light energy is consumed, how can we prove its existence?
There are two major reasons, which are
The Planets Orbits Are Created Before Any Planet Creation- And These Orbits Are Created Based On One Motion- And This One Motion Is Done By A Speed 1.16 Million Km Per Second.
The Planets Matters Are Created Based On Their Orbits – means- the planet is similar to a tree and the orbit is similar to a ground and the tree is planted in the ground-
NOTICE
after the planet creation, the planet can migrate from its original orbit to any other orbit - as Mars and Pluto did and that will not cause to destroy the planet.
Shortly-
the planet matter and data is created based on this planet orbit- the orbit is defined before any planet creation and based on the orbit the planet matter and data is created (we remember- the space is similar to the sea of water and the planet matter is similar to a whirlpool found on this sea page- that tells the whirlpool is created based on its place in the sea of water)
Shortly- The Planet Matter Is Created Depends On This Planet Orbit
The speed 1.16 million km per second is registered in the planets orbits because the orbits are created from the energy of the light beam (1.16 million km per second), and the planet matter is created from this planet orbit (energy)
Shortly
The light beam (1.16 million km per second) is the source of energy for (everything) in the solar system-
All orbits are defined by its energy, all matters are created by its energy, and all motions are done by its motion-
Can we prove this light beam is a fact? YES we can
The analysis for any data or any motion will discover this light beam because it's the source of energy for everything
Shortly
the light beam (1.16 million km per second) is The Source Energy of the solar system
The mother of all children can be discovered by analysis these children data
A QUESTION
Can the solar system design uses a rate 1.16 and I can't understand that but wrongly consider this rate (1.16) as a speed of light 1.16 million km per second?
NO- this can't be possible – Because
The light beam (1.16 million km per second) behaves typically to the known light beam (300000 km/s) – as we will see in the data discussion
I-8 Planet Velocity Is A Function In A Speed = (1.16 million km /s)
DATA
My 5th equation (v1v2=322)- the planets velocities prove it–let's see that in following
322 = 47.4 km/s (Mercury velocities) x 6.8 km/s (Uranus velocities)
322 = 35 km/s (Venus velocity) x 4.7 km/s (Pluto velocity) x 2
322 = 29.8 km/s (the Earth velocity) x 5.4 km/s (Neptune velocities) x 2
322 = 24.1 km/s (Mars velocity) x 13.1 km/s (Jupiter velocity)
322 = (17.9 km/s)^2 (Ceres velocity) (Max error 2%)
DATA ANALYSIS
The previous data tells the planets velocities are defined by three features
(1st Feature)
The planets velocities are complementary one another –means - each planet velocity is complementary with another planet velocity– means– The planets velocities are defined in pairs and not in single planets.
(Notice, the inner planets orbital inclinations are defined by the rule (v1/v2), for example, Mercury orbital inclination 7 deg = Mercury velocity 47.4/ Uranus velocity 6.8 that proves the effect of the rule (v1v2=322) on the planet motion)
Ceres velocity tells the idea - Ceres is used as the main point - as a result the outer planets be complementary with the inner planets – for that the rule (v1v2=322) controls the planets velocities- that means- The planets velocities are created based on One Design- Ceres velocity is used as the main point for this design
(2nd Feature)
Why the constant is 322? because 1160000 seconds = 322 hours – means- there's speed of light = 1.16 million km /s - Shortly
Mercury (47.4 km/s) moves during 6.8 hours a distance = 1160000 km
Uranus (6.8 km/s) moves during 47.4 hours a distance = 1160000 km And
Venus (35 km/s) moves during 2 x 4.7 hours a distance = 1160000 km
Pluto (4.7 km/s) moves during 2 x 35 hours a distance = 1160000 km
Earth (29.8 km/s) moves during 2 x 5.4 hours a distance = 1160000 km
Neptune (5.4 km/s) moves during 2 x 29.8 hours a distance = 1160000 km And
Mars (24.1 km/s) moves during 13.1 hours a distance = 1160000 km
Jupiter (13.1 km/s) moves during 24.1 hours a distance = 1160000 km And
(Notice - Saturn (9.7 km/s) moves during 33.2 hours a distance = 1160000 km - (between 33.2 and Venus velocity 35 km/s the error 5%)) (Data Max error 2%)
The Data Proves, The Planets Velocities Are Functions In The Speed 1.16 Million Km Per Second. That proves the speed (1.16 million km per second) is A Fact
(notice the planets velocities are complementary one another also based on the known speed of light 300000 km/s, the paper provides this data)
(3rd Feature)
The planets velocities limit depend on the known speed of light 300000 km/s
Let's explain that in following
The 9 planets velocities total is 176 km/s (I add the Earth moon velocity 29.8 km/s)
The 10 planets velocities total is 205.8 km/s
300000 km = 7.1 x (205.8)^2
The speed 297000 km/s (99% speed of light) causes Lorentz length contraction effect with the rate 7.1
The velocity (205.8 km/s) moves during 205.8 seconds a distance 42253 km
Where 300000 = 7.1 x 42253 km BUT 42253 = (205.8)^2
The squared value (205.8)^2 is found because of the used rate of time
We have studied this equation in point (I-5**) -the data shows, the planets velocities are defined as parts of a complete system of velocities starts from (Zero = stationary point) and reaches to the speed of light 300000 km/s and between these two values the planets velocities are defined to support this same system- that tells- the planets velocities are defined with limit to the speed of light (300000 km/s) - The data proves the speed (1.16 million km per second) is a fact -and also the data proves the coherence is done between the light (1.16 million km per second) and the light (300000 km/s)
(CONT)
Gerges Francis Tawdrous +201022532292
Physics Department- Physics & Mathematics Faculty
Peoples' Friendship university of Russia – Moscow (2010-2013)
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