Welcome to the world of Generative AI and its impact on Disruptive Businesses. In this site, we explore the various ways in which Generative AI is shaping the future of various industries and helping businesses stay ahead of the curve.

As an entrepreneur and now researcher in this field, I am studying the use of Generative AI in various businesses : from increasing efficiency and productivity to reducing costs and improving customer experiences, Generative AI has the potential to revolutionize the way we do business.

On this site, you will find comprehensive information on the latest developments and advancements in Generative AI, including its applications in various industries such as healthcare, finance, and retail. We will also delve into the ethical considerations surrounding the use of this technology, and how it is changing the way we approach problem-solving and decision making.

Whether you are a student, a business owner, an AI practitioner, or simply someone who is interested in learning more about this exciting field, this site is designed to provide you with the latest information and insights on Generative AI and its impact on Disruptive Businesses.

So, join us on this journey as we explore the future of Generative AI and discover how it is helping businesses stay ahead of the curve.

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Why Now?

What is generative AI?Generative artificial intelligence (AI) describes algorithms (such as ChatGPT) that can be used to create new content, including audio, code, images, text, simulations, and videos. Recent new breakthroughs in the field have the potential to drastically change the way we approach content creation.

Why Now? by Sequoia Capital - A powerful new class of large language models is making it possible for machines to write, code, draw and create with credible and sometimes superhuman results.

Generative AI: A Creative New World

Generative Tech BeginsCalling it Generative AI is only half the equation. Generative Tech is a major shift - a whole new era of human-machine collaboration.

Everything You Ever Wanted to Know About Artificial IntelligenceSupersmart algorithms won't take all the jobs, But they are learning faster than ever, doing everything from medical diagnostics to serving up ads.

How Generative AI Is Changing Creative WorkGenerative AI models for businesses threaten to upend the world of content creation, with substantial impacts on marketing, software, design, entertainment, and interpersonal communications. These models are able to produce text and images: blog posts, program code, poetry, and artwork. The software uses complex machine learning models to predict the next word based on previous word sequences, or the next image based on words describing previous images. Companies need to understand how these tools work, and how they can add value.

Talking to AI might be the most important skill of this century - The…

Illustrating Reinforcement Learning from Human Feedback (RLHF)

Test de Turing — Wikipédia

What Is a Transformer Model?Transformer models apply an evolving set of mathematical techniques, called attention or self-attention, to detect subtle ways even distant data elements in a series influence and depend on each other.

The man behind the key decisions at OPenAI:Reid Hoffman

Reid Hoffman has played a critical role in the early days of OpenAI and at key moments in its history. Hoffman, known for founding LinkedIn and being a major Silicon Valley investor, had a strong relationship with OpenAI from its inception. He was instrumental in OpenAI's partnership with Microsoft, acting as a mediator and advisor.

In 2015, when Sam Altman and Elon Musk were forming OpenAI as a nonprofit to balance the dominance of for-profit AI developers like Google, Hoffman committed up to $10 million from his family's Aphorism Foundation to support the initiative. This commitment was part of the early financial backbone for OpenAI.

Hoffman's role became even more crucial when Elon Musk left OpenAI's board in 2018. At this time, OpenAI faced significant financial challenges due to rising computing costs for training large language models. Hoffman stepped in to offer support, which eventually led to the creation of a unique structure for OpenAI: a for-profit entity overseen by a nonprofit. This structure was designed to maintain a focus on safe AI development while also facilitating funding. Hoffman, through his family foundation, was the anchor investor for this new model, setting the price and terms for the initial fundraising round.

In 2019, when Microsoft considered investing in OpenAI, Hoffman played a key role in negotiations. He helped Microsoft's leaders understand OpenAI's unusual structure and assisted OpenAI's founders in overcoming any reservations about partnering with a large tech company. His involvement was pivotal in Microsoft's decision to invest $1 billion in OpenAI, a partnership that became a cornerstone of Microsoft's AI strategy.

Hoffman's influence extended beyond financial support. He was a trusted advisor and liaison between OpenAI and Microsoft, facilitating critical decisions and helping shape OpenAI's strategic direction. However, Hoffman's involvement with OpenAI became more complicated due to his roles in other AI ventures and on Microsoft's board, leading to potential conflicts of interest. This complexity was highlighted when he stepped down from OpenAI's board in 2023 but continued to provide strategic advice.

Overall, Hoffman's contributions to OpenAI were significant, particularly in the early stages and during key moments of partnership with Microsoft. His experience, network, and financial support were invaluable in shaping OpenAI's development and its critical relationship with one of the world's largest technology companies.

Sources: https://www.theinformation.com/articles/behind-openai-meltdown-valley-heavyweight-reid-hoffman-calmed-microsoft-nerves?rc=yitj5w

Yann Le Cun : For those of you interested to hear a different opinion about LLM and to understand why, have a look at this presentation from: Yann Le Cun (Chief AI Scientist at Meta): he is bold and not popular in his affirmation: "Auto-Regressive LLMs are doomed. They cannot be made factual, non-toxic, etc. They are not controllable Probability e that any produced token takes us outside of the set of correct answers"... He backs it up with a scientific analysis of the models and proposes a Cognitive Architecture capable of reasoning & planning. Here is his public deck presented at NYU. Interesting and understandable demonstration.

lecun-20230324-nyuphil.pdf

How ChatGPT actually worksSince its release, the public has been playing with ChatGPT and seeing what it can do, but how does ChatGPT actually work? While the details of its inner workings have not been published, we can piece together its functioning principles from recent research.

AI for product managers: Today’s top terms to stay in the knowGaining a basic understanding of newer AI terminology is critical for any field, including product management. This guide will serve as an entry point into the current key AI terminology to know now.

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Why Now?

The man behind the key decisions at OPenAI:Reid Hoffman

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