#Generative AI&039;s

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Step into the Future of Entertainment: Generative AI's Next Frontier is Video!

Generative AI is developing quickly and is now focused on taming the world of video. AI-generated video has the potential to revolutionize several sectors thanks to its boundless inventiveness and ingenuity. Deep learning models have been extensively utilized to produce text and images of excellent quality, but adding video to the mix is a challenging task. Video poses special difficulties for…

[vanishasview]

Top AI Video Generator Tools of 2023

Artificial intelligence (AI) is rapidly transforming the video production industry. AI-powered video generation tools are making it easier than ever to create high-quality videos without any prior experience or technical expertise. These tools use AI to automate many of the tasks involved in video production, such as editing, scripting, and narration. This can save businesses and individuals a…

[pwrn51]

5 Safest States vs. Scam Risks:Protect Your Finances

  In this episode of Scam DamNation, host Lillian Cauldwell explores the 5 states where scams run rampant and the 5 states where you’re safest. It’s crucial to arm yourself with this knowledge to safeguard your home and finances. With the rise of artificial intelligence, scams and fraud are becoming increasingly sophisticated, preying on the elderly, the young, and everyone in between. Learn how…

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Tech Tip: Embracing AI for Everyday Efficiency

Introduction Discover how Artificial Intelligence is revolutionizing daily tasks and enhancing productivity across various fields. In the rapidly evolving digital landscape, Artificial Intelligence (AI) has become a cornerstone of innovation and efficiency. From generating code snippets to optimizing website content, AI tools are transforming the way we work and live. This tech tip explores how…

[younes-ben-amara]

موقع جيّد لتسمية الأعمال التجارية

ما هذه المجموعة من المختارات تسألني؟ إنّها عددٌ من أعداد نشرة “صيد الشابكة” اِعرف أكثر عن النشرة هنا: ما هي نشرة “صيد الشابكة” ما مصادرها، وما غرضها؛ وما معنى الشابكة أصلًا؟! 🎣🌐هل تعرف ما هي صيد الشابكة وتطالعها بانتظام؟ اِدعم استمرارية النشرة بطرق شتى من هنا: 💲 طرق دعم نشرة صيد الشابكة. 🎣🌐 صيد الشابكة العدد #149 السلام عليكم؛ مرحبًا وبسم الله؛ بخصوص العنوان فستجده في أحد الأقسام أدناه. 🎣🌐 صيد…

[robertbrancatelli]

"Who's on First?"

This being baseball season and not just baseball season but the sweet part of the bat in terms of the calendar, I welcomed the opportunity to talk to a young, British couple that had gone recently to a San Francisco Giants game. We ended up talking about the past, since that’s what baseball is all about. It makes the past come alive like Ezekiel’s dry bones. It’s not the national “pastime” for…

[rhiannonhgarrard]

Tales From The Freelance Writer #7: Why Writers Should Worry About Generative AI, And Stand With Our Artist Brethren

This has been on my shoulders for a while. If you're on the fence about generative AI, or wondering what the big deal is about, please have a read.

[shivdinews]

Unleash Your Creativity: How to Create Images Using Bing (Free & Easy!)

Unleash your inner artist! Discover how to create images using Bing’s powerful AI tool, Bing Image Creator (formerly known as Bing Image Generator). No design skills needed! Learn everything from prompts and styles to editing and sharing. Create Images Using Bing free easy Let’s get started creating… What is Bing Image Creator Bing Image Creator is an AI image generator developed by Microsoft. It…

[convergeai]

Inconsistent Selling Practices on Etsy: Navigating a Crafty Conundrum

Introduction Etsy, the beloved global marketplace for handmade, vintage, and unique goods, has long been celebrated for empowering artisans and small business owners. However, beneath its creative facade lies a complex web of inconsistent selling practices that warrant a closer look. This blog post delves into the nuances of these inconsistencies, shedding light on the challenges they pose to…

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New Post has been published on https://www.knewtoday.net/the-rise-of-openai-advancing-artificial-intelligence-for-the-benefit-of-humanity/

The Rise of OpenAI: Advancing Artificial Intelligence for the Benefit of Humanity

OpenAI is a research organization that is focused on advancing artificial intelligence in a safe and beneficial manner. It was founded in 2015 by a group of technology luminaries, including Elon Musk, Sam Altman, Greg Brockman, and others, with the goal of creating AI that benefits humanity as a whole.

OpenAI conducts research in a wide range of areas related to AI, including natural language processing, computer vision, robotics, and more. It also develops cutting-edge AI technologies and tools, such as the GPT series of language models, which have been used in a variety of applications, from generating realistic text to aiding in scientific research.

In addition to its research and development work, OpenAI is also committed to promoting transparency and safety in AI. It has published numerous papers on AI ethics and governance and has advocated for responsible AI development practices within the industry and among policymakers.

Introduction to OpenAI: A Brief History and Overview

An American artificial intelligence (AI) research facility called OpenAI is made as a non-profit organization. OpenAI Limited Partnership is its for-profit sister company. The stated goal of OpenAI’s AI research is to advance and create a benevolent AI. Microsoft’s Azure supercomputing platform powers OpenAI systems.

Ilya Sutskever, Greg Brockman, Trevor Blackwell, Vicki Cheung, Andrej Karpathy, Durk Kingma, John Schulman, Pamela Vagata, and Wojciech Zaremba created OpenAI in 2015; the inaugural board of directors included Sam Altman and Elon Musk. Microsoft invested $1 billion in OpenAI LP in 2019 and another $10 billion in 2023.

Brockman compiled a list of the “top researchers in the field” after meeting Yoshua Bengio, one of the “founding fathers” of the deep learning movement. In December 2015, Brockman was able to bring on nine of them as his first workers. In 2016, OpenAI paid business compensation rather than nonprofit payments to its AI researchers, but not salaries that were on par with Facebook or Google.

Several researchers joined the company because of OpenAI’s potential and mission; one Google employee claimed he was willing to leave the company “partly because of the very strong group of people and, to a very big extent, because of its mission.” Brockman said that advancing humankind’s ability to create actual AI in a secure manner was “the best thing I could imagine doing.” Wojciech Zaremba, a co-founder of OpenAI, claimed that he rejected “borderline ridiculous” offers of two to three times his market value in order to join OpenAI.

A public beta of “OpenAI Gym,” a platform for reinforcement learning research, was made available by OpenAI in April 2016. “Universe,” a software platform for assessing and honing an AI’s general intelligence throughout the universe of games, websites, and other applications, was made available by OpenAI in December 2016.

OpenAI’s Research Areas: Natural Language Processing, Computer Vision, Robotics, and More

In 2021, OpenAI will concentrate its research on reinforcement learning (RL).

Gym

Gym, which was introduced in 2016, intends to offer a general-intelligence benchmark that is simple to deploy across a wide range of environments—similar to, but more extensive than, the ImageNet Large Scale Visual Recognition Challenge used in supervised learning research. In order to make published research more easily replicable, it aims to standardize how environments are characterized in publications on AI. The project asserts that it offers a user-friendly interface. The gym may only be used with Python as of June 2017. The Gym documentation site was no longer maintained as of September 2017, and its GitHub page was the site of ongoing activity.

RoboSumo

In the 2017 virtual reality game RoboSumo, humanoid meta-learning robot agents compete against one another with the aim of learning how to move and shoving the rival agent out of the arena. When an agent is taken out of this virtual environment and placed in a different virtual environment with strong gusts, the agent braces to stay upright, indicating it has learned how to balance in a generic fashion through this adversarial learning process. Igor Mordatch of OpenAI contends that agent competition can lead to an intelligence “arms race,” which can improve an agent’s capacity to perform, even outside of the confines of the competition.

Video game bots

In the competitive five-on-five video game Dota 2, a squad of five OpenAI-curated bots known as OpenAI Five is utilized. These bots are trained to compete against human players at a high level solely by trial-and-error techniques. The first public demonstration took place at The International 2017, the yearly premier championship event for the game, where Dendi, a professional Ukrainian player, lost to a bot in a real-time one-on-one matchup before becoming a team of five. Greg Brockman, CTO, revealed after the game that the bot had learned by competing against itself for two weeks in real-time, and that the learning software was a step toward developing software that could perform intricate jobs like a surgeon.

By June 2018, the bots had improved to the point where they could play as a full team of five, defeating teams of amateur and semi-professional players. OpenAI Five competed in two exhibition games at The International 2018 against top players, but they both lost. In a live demonstration game in San Francisco in April 2019, OpenAI Five upset OG, the current global champions of the game, 2:0.During that month, the bots made their last public appearance, winning 99.4% of the 42,729 games they participated in over a four-day open internet competition.

Dactyl

In 2018 Dactyl uses machine learning to teach a Shadow Hand, a robotic hand that resembles a human hand, how to manipulate actual objects. It uses the same RL algorithms and training code as OpenAI Five to learn totally in simulation. Domain randomization, a simulation method that exposes the learner to a variety of experiences rather than attempting to match them to reality, was used by OpenAI to address the object orientation problem. Dactyl’s setup includes RGB cameras in addition to motion tracking cameras so that the robot may control any object simply by looking at it. In 2018, OpenAI demonstrated that the program could control a cube and an octagonal prism.

2019 saw OpenAI present Dactyl’s ability to solve a Rubik’s Cube. 60% of the time, the robot was successful in resolving the puzzle. It is more difficult to model the complex physics introduced by items like Rubik’s Cube. This was resolved by OpenAI by increasing Dactyl’s resistance to disturbances; they did this by using a simulation method known as Automated Domain Randomization (ADR),

OpenAI’s GPT model

Alec Radford and his colleagues wrote the initial study on generative pre-training of a transformer-based language model, which was released as a preprint on OpenAI’s website on June 11, 2018. It demonstrated how pre-training on a heterogeneous corpus with lengthy stretches of continuous text allows a generative model of language to gain world knowledge and understand long-range dependencies.

A language model for unsupervised transformers, Generative Pre-trained Transformer 2 (or “GPT-2”) is the replacement for OpenAI’s first GPT model. The public initially only saw a few number of demonstrative copies of GPT-2 when it was first disclosed in February 2019. GPT-2’s complete release was delayed due to worries about potential abuse, including uses for creating fake news. Some analysts questioned whether GPT-2 posed a serious threat.

It was trained on the WebText corpus, which consists of little more than 8 million documents totaling 40 gigabytes of text from Links published in Reddit contributions that have received at least three upvotes. Adopting byte pair encoding eliminates some problems that can arise when encoding vocabulary with word tokens. This makes it possible to express any string of characters by encoding both single characters and tokens with multiple characters.

GPT-3

Benchmark results for GPT-3 were significantly better than for GPT-2. OpenAI issued a warning that such language model scaling up might be nearing or running into the basic capabilities limitations of predictive language models.

Many thousand petaflop/s-days of computing were needed for pre-training GPT-3 as opposed to tens of petaflop/s-days for the complete GPT-2 model. Similar to its predecessor, GPT-3’s fully trained model wasn’t immediately made available to the public due to the possibility of abuse, but OpenAI intended to do so following a two-month free private beta that started in June 2020. Access would then be made possible through a paid cloud API.

GPT-4

The release of the text- or image-accepting Generative Pre-trained Transformer 4 (GPT-4) was announced by OpenAI on March 14, 2023. In comparison to the preceding version, GPT-3.5, which scored in the bottom 10% of test takers,

OpenAI said that the revised technology passed a simulated law school bar exam with a score in the top 10% of test takers. GPT-4 is also capable of writing code in all of the major programming languages and reading, analyzing, or producing up to 25,000 words of text.

DALL-E and CLIP images

DALL-E, a Transformer prototype that was unveiled in 2021, generates visuals from textual descriptions. CLIP, which was also made public in 2021, produces a description for an image.

DALL-E interprets natural language inputs (such as an astronaut riding on a horse)) and produces comparable visuals using a 12-billion-parameter version of GPT-3. It can produce pictures of both actual and unreal items.

ChatGPT and ChatGPT Plus

An artificial intelligence product called ChatGPT, which was introduced in November 2022 and is based on GPT-3, has a conversational interface that enables users to ask queries in everyday language. The system then provides an answer in a matter of seconds. Five days after its debut, ChatGPT had one million members.

ChatGPT Plus is a $20/month subscription service that enables users early access to new features, faster response times, and access to ChatGPT during peak hours.

Ethics and Safety in AI: OpenAI’s Commitment to Responsible AI Development

As artificial intelligence (AI) continues to advance and become more integrated into our daily lives, concerns around its ethics and safety have become increasingly urgent. OpenAI, a research organization focused on advancing AI in a safe and beneficial manner, has made a commitment to responsible AI development that prioritizes transparency, accountability, and ethical considerations.

One of the ways that OpenAI has demonstrated its commitment to ethical AI development is through the publication of numerous papers on AI ethics and governance. These papers explore a range of topics, from the potential impact of AI on society to the ethical implications of developing powerful AI systems. By engaging in these discussions and contributing to the broader AI ethics community, OpenAI is helping to shape the conversation around responsible AI development.

Another way that OpenAI is promoting responsible AI development is through its focus on transparency. The organization has made a point of sharing its research findings, tools, and technologies with the wider AI community, making it easier for researchers and developers to build on OpenAI’s work and improve the overall quality of AI development.

In addition to promoting transparency, OpenAI is also committed to safety in AI. The organization recognizes the potential risks associated with developing powerful AI systems and has taken steps to mitigate these risks. For example, OpenAI has developed a framework for measuring AI safety, which includes factors like robustness, alignment, and transparency. By considering these factors throughout the development process, OpenAI is working to create AI systems that are both powerful and safe.

OpenAI has also taken steps to ensure that its own development practices are ethical and responsible. The organization has established an Ethics and Governance board, made up of external experts in AI ethics and policy, to provide guidance on OpenAI’s research and development activities. This board helps to ensure that OpenAI’s work is aligned with its broader ethical and societal goals.

Overall, OpenAI’s commitment to responsible AI development is an important step forward in the development of AI that benefits humanity as a whole. By prioritizing ethics and safety, and by engaging in open and transparent research practices, OpenAI is helping to shape the future of AI in a positive and responsible way.

Conclusion: OpenAI’s Role in Shaping the Future of AI

OpenAI’s commitment to advancing AI in a safe and beneficial manner is helping to shape the future of AI. The organization’s focus on ethical considerations, transparency, and safety in AI development is setting a positive example for the broader AI community.

OpenAI’s research and development work is also contributing to the development of cutting-edge AI technologies and tools. The GPT series of language models, developed by OpenAI, have been used in a variety of applications, from generating realistic text to aiding in scientific research. These advancements have the potential to revolutionize the way we work, communicate, and learn.

In addition, OpenAI’s collaborations with industry leaders and their impact on real-world applications demonstrate the potential of AI to make a positive difference in society. By developing AI systems that are safe, ethical, and transparent, OpenAI is helping to ensure that the benefits of AI are shared by all.

As AI continues to evolve and become more integrated into our daily lives, the importance of responsible AI development cannot be overstated. OpenAI’s commitment to ethical considerations, transparency, and safety is an important step forward in creating AI that benefits humanity as a whole. By continuing to lead the way in responsible AI development, OpenAI is helping to shape the future of AI in a positive and meaningful way.

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How To Write a Book with AI

Determine the Genre and ConceptCreate a Chapter OutlineRequest a Chapter and Set the ToneContinue to TweakFinish and Publish Have you ever wondered how to write a book with AI? Writing a book with the help of AI can be an exciting and innovative approach to creative writing. While AI can generate ideas, provide suggestions, and even assist in writing, it’s important to note that the creative…

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Google Launches Perspective Feature to Show Human-Generated Content

Google, the largest and most well-known search engine on the internet, has introduced a new ‘Perspective’ feature in its search engine. Google had announced last month, in May, the introduction of the ‘Perspective’ feature and had informed that fans would see noticeable changes in the search engine over the next few weeks. Before this, there had been news about Google that a feature to display…

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Can I Write a Book with ChatGPT?

Meta Description: Discover how ChatGPT, an AI language model, can help you write a book. Learn the benefits, limitations, and best practices for using AI in your writing process. Can I Write a Book with ChatGPT: A book can be immensely exciting and enjoyable to write, but it also takes commitment, time, and effort. The thought of using artificial intelligence (AI) like ChatGPT to facilitate the…

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CWWC - 10272024

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Unleashing the Power of Open AI: A Beginner's Guide to Midjourney for AI Image Creation

As a beginner in the world of artificial intelligence, I was fascinated by the possibilities of Open AI. Open AI is a powerful tool that can be used for a variety of purposes, including image generation. In this article, I will provide you with a beginner’s guide to using Open AI for image creation. We will explore the basics of AI image generation, the benefits of using Open AI, and a…