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daveinediting · 2 years ago

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This is just a note of caution to myself to be, well, cautious.

Over the weekend, I had some questions in need of answering. Actual, real world questions whose answers will affect our decisions. They're Which one should I choose? questions. They're Which one's best? questions. They're What are the Pros and Cons? questions. And the subjects of these questions are not within our realms of expertise. We come to these questions bearing very little concrete knowledge.

We also come to the reality of AI powered search with very little concrete knowledge. Although in this case it seems more as if AI powered search engines have been released into the wild purely to see what happens, not as fully developed, thoroughly tested products. No one just knows about these things. They are what they are and whatever happens, happens. So effectively we’re all part of—

Well, it's not even an experiment in the classic sense of scientific method. It's an experiment in the sense of children doing things just to see what happens. Only with a financial incentive.

So anyway...

Because I have a reasonably narrow understanding of what’s available, I've got the AI powered Bard and Bing search apps on my phone and have settled on a course of employing both to help me answer questions.

To help me.

Answer questions.

Because I just don't know, you know?

I come to the table bearing zero confidence. So any answer that's crafted for me, well, no. I don't take it at face value. I can't take it at face value. This is very much an exercise in spitballing in which ideas are generated in order to identify paths of further inquiry. And, in the spirit of checking one against the other, I ask both the same questions.

I'm not testing them against each other, by the way. I'm not trying to determine which one is best. I'm just doing what I can to not be screwed by something that looks like an answer, or the answer, but isn't. And this note of caution I'm writing myself is to remind me that this effort of cross-checking isn't, is not, a guarantee because you can't use something you don't trust as the primary means of fact-checking some other thing you don't trust. It just happens to be how I'm starting (ish) and I need to be upfront about what it is I'm actually doing with these apps which is, once again, spitballing in search of avenues for further inquiry.

In other AI powered news, I'm enjoying playing around with the Adobe Firefly beta, fancying myself a conjurer of images through various prompts or, as I like to think of them, incantations.

I've also been listening to AI crafted Beatles songs on the Dae Lims YouTube channel that, as of yesterday, features zero content. As in all the AI crafted, alternate universe music that used to be there…

Is gone.

All that's left is the channel's description that reads "Just over here creating. Nothing is real."

Still, back when there was content on that channel, like, a minute ago, I put the Beatles version of John Lennon's "Grow Old With Me" on loop for an entire day, marveling at its beauty and wondering what it means that such a thing can be conjured without the participation of the human beings whose voices mark the song as their own.

Finally (in an arena that doesn't require an ounce of trust), I've been using Bing and Bard to come up with names for stuff. Names for random companies, clubs, and organizations. A riff on brainstorming, it's interesting to watch how and if each prompt's wording changes the answers and ideas that get served up.

And how good are those answers and ideas?

Pretty not that great. Definitely not good to go which, interestingly, makes me feel superior about my own creative abilities.

For now, at least.

😐

#creativity #AI #AI powered search #trust #veracity #objective truth #AI hallucinations #fact-checking #verify #verifying #bing #bard #dae lims #adobe firefly #brainstorming #spitballing

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10001gecs · 2 months ago

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i do think that many of you are much more distrustful and contemptuous of ai than is reasonable

#also the 'using ai kills the planet' thing is a bit of a misnomer #TRAINING the ai can take large amounts of power #querying the ai as a consumer takes about as much energy as a google search #ai art might be ugly but its not like every image is killing a tree

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thedisablednaturalist · 8 months ago

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Unfortunately all chatgpt is good for is interview/job application stuff which I think says a lot about the hiring process as a whole

#wrenfea.exe #as an actual artifical intelligence? no its horrible bc it really ISNT one #its a writing synthesizer it generates writing based on data searches and boundaries from training #thats what a neural network is its a very convoluted input-output sequence #it has no capacity to understand the meaning behind what it generates #it is simply generating the specific things that the user is looking for #the job interview process has become so robotic and automized that ai fits in perfectly #but employers HATE that people are turning to chatgpt for cover letters and interview answers #so it was fair for them to use filtering programs to accept/deny applications before it got in front of an actual human being #and its ok for them to use ai and pre-written formats to make job announcements descriptions and interview questions #but god forbid we are forced to use those exact same tools to get a humans attention so we can get a job and not starve #pushing aside the whole copyright debate on chatgpt and the environmental impact of its power usage btw #im soley analyzing how its become commonly utilized on both sides #by interviewer and interviewed #the mechanization of the whole process is now on both sides #it just seems very inhuman..#its also how some people have figured out how to somehow become employed multiple times by the same company due to lack of human oversight #and how automated theyve made their hiring process #probably should have made these tags into a separate reblog oops #also disclaimer do not cut and paste right into your application materials bc chatgpt often just lies #also many places now can tell you used chatgpt due to how similar its answers are #i only use it to make a template and see how things can be phrased to be more professional and buzzwordy #id never use it for something actually creative #and dear god do not write academic essays with it #i tried using it to supplement my own cover letter template but it was too robotic even for a cover letter #it is very good at accessing and summarizing publically available information #thats all it does not make sure the information is true or good

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the-sage-libriomancer · 9 months ago

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congrats to Sui Feng on her promotion.

#went to look up yamamoto's full name bc i can never remember how to spell it #and this is what came up #very important lesson on not trusting the first thing that pops up after searching #but also very funny. like where did you get this information ai-powered search algorithm #the fact that this implies yoruichi was the leader of soul society at some point...#i'd love to see what sort of unparalleled chaos that would create lmao #bleach #sui feng #yoruichi shihouin #sage speaketh #queued up

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atcuality1 · 19 days ago

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Create Impactful Digital Experiences with Augmented Reality Development Services

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jcmarchi · 5 days ago

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The Tension Between Microsoft and OpenAI: What It Means for the Future of AI

New Post has been published on https://thedigitalinsider.com/the-tension-between-microsoft-and-openai-what-it-means-for-the-future-of-ai/

The Tension Between Microsoft and OpenAI: What It Means for the Future of AI

In recent years, Microsoft and OpenAI have emerged as leaders in the domain of artificial intelligence (AI), and their partnership has shaped much of the industry’s progress. Microsoft’s significant investments of nearly $14 billion since 2019 offered OpenAI access to Azure’s extensive computing resources, enabling rapid advancements in AI model development. These models have powered Microsoft’s Azure services and become part of products like Office and Bing. This brings a future where AI helps boost productivity and guides smarter business decisions.

Microsoft’s partnership with OpenAI is becoming increasingly complicated as both companies pursue different goals. OpenAI’s growing need for additional funding and computing power has led to questions about Microsoft’s role and potential stake in a more profitable, future version of OpenAI. At the same time, Microsoft has started recruiting talent from Inflection AI, a rival to OpenAI, indicating that Microsoft may be looking to diversify its AI capabilities.

Adding to the complexity, OpenAI recently opened a satellite office in Bellevue, not far from Microsoft’s headquarters. This proximity could facilitate collaboration but also make it easier for employees to move between the companies. Microsoft, meanwhile, seems focused on strengthening its internal AI projects, a strategy that could help it reduce reliance on OpenAI in the future.

While OpenAI’s CEO, Sam Altman, maintains an optimistic view, calling the partnership a “bromance,” recent developments indicate a shift toward a more competitive relationship. As both companies reassess their priorities and strategies, the nature of their collaboration remains to be determined.

The Beginning of the Microsoft-OpenAI Partnership

The partnership between Microsoft and OpenAI started with a shared goal to bring advanced AI into the business world. Microsoft recognized early on the potential of OpenAI’s models, like GPT-2 and DALL-E, to redefine business applications on a large scale. By investing significantly and offering its Azure platform, Microsoft gained an advantage over other cloud providers and strengthened its commitment to AI. With OpenAI’s language and image capabilities, Azure became a powerful tool for delivering developing AI solutions to Microsoft’s enterprise customers, enhancing its competitive stance.

For OpenAI, the collaboration meant access to the resources needed to move beyond its initial nonprofit model. Shifting to a capped-profit structure allowed OpenAI to secure large investments and focus on ambitious projects like GPT-3 and GPT-4. Microsoft’s backing gave OpenAI the computational power to go beyond the traditional limits, thus enabling rapid growth and the creation of technology that could reach the commercial market.

For Microsoft, this partnership offered a way to integrate advanced AI features into its products. OpenAI’s technology brought unique capabilities to Microsoft’s offerings in cloud computing, business intelligence, and productivity. Together, they could explore applications beyond basic machine learning, from language understanding to complex decision-making systems. However, as OpenAI began developing its commercial path, its focus started to differ from Microsoft’s, gradually turning a collaborative effort into a competitive one.

Financial and Strategic Tensions Between Microsoft and OpenAI

Initially, Microsoft’s investments in OpenAI were a win-win, as Microsoft provided essential resources for OpenAI’s growth, while OpenAI’s innovations enhanced Microsoft’s products. However, OpenAI’s recent efforts for more independence have changed this dynamic, leading both companies to revisit their financial and strategic agreements.

Microsoft’s large investment came with an expectation of influence over OpenAI’s direction, especially given the scale of its support. While OpenAI operates under a capped-profit model, Microsoft anticipated a more active role through either equity or operational input. Yet, OpenAI’s desire for autonomy complicates this setup, leading both companies to seek financial guidance to manage this evolving relationship.

OpenAI’s shift toward profitability while staying committed to ethical AI also adds pressure. Balancing profitability with Microsoft’s expectations can be challenging. As OpenAI’s models gain value, Microsoft’s interest in maintaining influence grows, highlighting the fine line between OpenAI’s mission-driven approach and the commercial interests of a key investor.

The launch of SearchGPT has further intensified this tension. Microsoft had integrated OpenAI’s language models into Bing for a more interactive search experience, but SearchGPT signals OpenAI’s intent to serve users directly outside Microsoft’s ecosystem. Unlike Bing, which combines search results with AI, SearchGPT offers a more conversational and engaging experience.

This move puts OpenAI and Microsoft in direct competition. SearchGPT can challenge Bing’s market share and disrupt Microsoft’s vision for AI-powered search. While OpenAI’s independent approach aligns with its mission to bring AI directly to users, it also highlights a growing divide with Microsoft. This rivalry between Bing and SearchGPT also hints at a shift in OpenAI’s strategy toward consumer-focused applications.

By entering the search market, OpenAI is signalling a broader intent to create AI products for direct user engagement, shifting away from exclusive enterprise partnerships. This could transform AI search, attracting users who prefer interactive, AI-driven responses and pushing Bing to adjust its offerings to stay competitive.

Balancing Innovation and Exclusivity

The partnership between Microsoft and OpenAI brings together two different approaches: Microsoft favours proprietary systems, while OpenAI is moving toward open-source models. Microsoft has integrated OpenAI’s technology into its products, like Bing and Microsoft Office, creating exclusive, secure solutions that meet the needs of enterprise clients, especially those in regulated industries. This setup helps Microsoft offer customized, controlled AI tools, building trust with companies that prioritize security and reliability.

On the other hand, OpenAI’s commitment to open-source development is about transparency and collaboration. By making its models open, OpenAI invites developers worldwide to contribute, adapt, and benefit from the technology, which fuels faster improvements and broader accessibility. This approach encourages a steady stream of community-driven innovation and adaptability, giving OpenAI’s tools flexibility and reach beyond exclusive platforms.

However, this difference in direction also creates some tension. If OpenAI continues expanding its open-source offerings, developers and companies can access similar AI tools outside Microsoft’s Azure ecosystem, potentially lessening the exclusivity Microsoft gains through its partnership. This raises questions about how Microsoft can maintain its competitive edge and continue to deliver unique value in its collaboration with OpenAI. Finding the right balance between these open and closed approaches will be essential as the partnership evolves, combining OpenAI’s fast-moving, collaborative model with Microsoft’s secure, business-focused solutions.

What This Rift Means for the AI Industry

The changing relationship between Microsoft and OpenAI has implications beyond their partnership; it could influence the future direction of the entire AI industry. In the beginning, their collaboration set a strong example of how AI could enhance business applications, especially through Microsoft’s platforms like Azure and Office. Now, as both companies pursue different goals, the AI community and enterprise clients face a new period of uncertainty.

For companies relying on Azure’s AI tools, any shift in this partnership raises concerns about the future. If OpenAI chooses to support platforms beyond Microsoft, customers might consider alternatives like Google Cloud or Amazon Web Services, which are also advancing their own AI capabilities. OpenAI’s focus on open-source development encourages transparency and community engagement yet also brings new challenges related to data security and ethical use. Reaching a wider audience may require OpenAI to address issues like AI bias and transparency in its models, which will be crucial for maintaining its reputation as a responsible AI leader.

This situation also highlights a broader challenge of balancing commercial growth with ethical responsibility. As OpenAI transitioned from a nonprofit to a capped-profit entity, it has faced new complexities in managing both funding and ethical standards. How Microsoft and OpenAI navigate these priorities could set important precedents for future AI collaborations as the industry watches how they balance transparency with commercial interests.

Looking ahead, several outcomes could transform their path. One possibility is a compromise, where both companies adjust their partnership terms to fit their evolving priorities better. This might involve clearer boundaries around product ownership or influence, providing stability while allowing each to pursue specific interests. Another potential outcome is a more flexible arrangement, where Microsoft continues to support OpenAI but allows it more freedom to develop open-source and consumer-focused projects. This would give OpenAI more independence while preserving some collaboration.

In a more drastic scenario, Microsoft and OpenAI could fully separate, each focusing on different markets and client needs. Such a split leads to increased competition, with both companies striving to advance AI technology on their terms. Whatever path they choose, the decision will impact the AI industry significantly, shaping how businesses and developers interact with AI tools in the future.

The Bottom Line

The changing partnership between Microsoft and OpenAI captures the current challenges and opportunities in AI. As each company defines its path—Microsoft focusing on exclusive, enterprise-centered solutions and OpenAI pushing for open-source, accessible innovation—their relationship highlights a growing divide between control and openness in AI development. These choices will impact businesses, developers, and users alike. Whether they choose to collaborate, compete, or find a middle ground, Microsoft and OpenAI’s next moves are likely to shape the future of AI, influencing how we interact with and benefit from this powerful technology.

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nnctales · 10 days ago

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Why AI is SEO Friendly for Writing?

Today, where content reigns supreme, mastering Search Engine Optimization (SEO) is essential for anyone looking to increase their online visibility. With the advent of Artificial Intelligence (AI), the writing process has undergone a significant transformation, making it easier to produce SEO-friendly content. This article delves into how AI enhances SEO writing, supported by examples and…

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#AI #AI content generation #AI for content marketing #AI-driven SEO strategies #AI-powered keyword analysis #automated content creation #competitive analysis with AI #content personalization AI #data-driven SEO techniques #keyword research AI #machine learning for SEO #natural language processing SEO #predictive analytics in SEO #semantic search optimization #SEO #SEO optimization tools #voice search optimization

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iamwhatitorture · 1 year ago

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I find it rather suspicious how this image was cropped and with various tests I was not able to replicate it, but I suspect that it comes from this

#saw some commentary on how we shouldn't give ai too much power and #i mean it's right #but like #considering that a show called 60 minutes exists it is unreasonable for anyone aware of it to assume it's about actual time #no one would seriously ask that without defining what it should be converted into #and the google search engine is also not like the chatbot ai's - it doesn't create texts and it actually leads you to sources #and again: very suspiciously cropped #op if you're reading this it would be cool to reply with a full version of the screenshot (if you still have it)

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aimarketingdesign · 27 days ago

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The Future of AI Marketing Playbook: A Guide to Leveraging Artificial Intelligence for Marketing Success

Introduction: The AI Revolution in Marketing

Artificial intelligence (AI) is no longer a futuristic concept; it's a present-day reality that's revolutionizing the way brands connect with their customers. From personalized recommendations and automated content creation to predictive analytics and chatbots, AI is transforming every aspect of the marketing landscape. This playbook explores the key trends, challenges, and opportunities that lie ahead for AI-powered marketing.

Chapter 1: Understanding the AI Marketing Landscape

Before diving into specific strategies, it's essential to grasp the foundational concepts of AI in marketing.

Types of AI in Marketing: Explore the various types of AI being used in marketing, including machine learning, natural language processing, computer vision, and deep learning.

AI Marketing Tools and Platforms: Discover the leading AI-powered marketing tools and platforms available, ranging from content creation and social media management to data analytics and customer relationship management (CRM).

Ethical Considerations in AI Marketing: Address the ethical implications of using AI in marketing, including data privacy, bias, and transparency.

Chapter 2: AI-Powered Personalization: The Key to Customer-Centricity

Personalization is at the heart of effective marketing, and AI is enabling brands to deliver hyper-personalized experiences at scale.

Data-Driven Customer Insights: Utilize AI to analyze vast amounts of customer data and gain a deeper understanding of their preferences, behaviors, and needs.

Personalized Content and Offers: Deliver tailored content, product recommendations, and promotional offers based on individual customer profiles.

Dynamic Website and App Experiences: Create personalized website and app experiences that adapt to user behavior and preferences in real-time.

Chapter 3: AI for Content Creation and Optimization

AI is transforming the way marketers create, optimize, and distribute content.

Automated Content Generation: Leverage AI tools to generate various types of content, including product descriptions, social media posts, and email newsletters.

Content Optimization: Use AI to analyze content performance and identify areas for improvement, such as keyword optimization, readability, and emotional impact.

Content Personalization: Deliver personalized content recommendations and experiences based on individual user preferences and interests.

Chapter 4: AI-Driven Social Media Marketing

AI is empowering marketers to manage their social media presence more effectively and engage with their audience on a deeper level.

Social Listening and Sentiment Analysis: Use AI to monitor social media conversations, analyze sentiment, and identify potential brand advocates or detractors.

Chatbots and Automated Customer Service: Deploy AI-powered chatbots to provide instant customer support, answer questions, and resolve issues.

Social Media Advertising Optimization: Leverage AI to optimize social media advertising campaigns, target the right audience, and maximize return on ad spend (ROAS).

Chapter 5: Predictive Analytics and AI-Driven Decision Making

AI is enabling marketers to make data-driven decisions and predict future outcomes with greater accuracy.

Customer Churn Prediction: Identify customers who are at risk of churning and implement proactive retention strategies.

Lead Scoring and Qualification: Prioritize leads based on their likelihood to convert, allowing sales teams to focus their efforts on the most promising prospects.

Market Trend Forecasting: Analyze market trends and predict future customer behavior to inform marketing strategies and product development.

Chapter 6: The Future of AI in Marketing: Emerging Trends and Technologies

The field of AI is constantly evolving, and new trends and technologies are emerging that will further transform the marketing landscape.

Generative AI for Creative Content: Explore the use of generative AI tools to create unique and engaging visual content, including images, videos, and 3D models.

AI-Powered Customer Data Platforms (CDPs): Unify customer data from various sources and leverage AI to create a single view of the customer, enabling hyper-personalization.

The Metaverse and AI Marketing: Understand the implications of the metaverse for marketing and how AI can be used to create immersive and personalized experiences in virtual worlds.

Conclusion: Embrace the AI-Powered Future of Marketing

AI is no longer a luxury for marketers; it's a necessity. By embracing the power of AI, brands can gain a competitive edge, deliver exceptional customer experiences, and achieve their marketing goals in the ever-evolving digital landscape. This playbook serves as a roadmap for navigating the exciting future of AI marketing, empowering marketers to harness the transformative potential of this technology and drive business growth.

#AI-Powered Future of Marketing #SEO² #SEO-2 #SEO2 #SEODVA #seo2.0 #SEO 2.0 #SEARCH #SEARCH ENGINE #FUTURE SEO #FUTURE MARKETING #AIMARKETING #AI MARKETING #AI POWERED MARKETING #SEONSAENG #PREDRAG #PETROVIC #predragpetrovic

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