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These days, everybody is talking about AI. According to trends platform Exploding Topics, this year, there are around 70,000 AI companies worldwide compared to 2023’s 67,300. One in four is based in the U.S., and global AI funding grew by a factor of seven between 2015 and 2019. Take up is accelerating as well: there are over 115 million companies currently using AI and around 42% of companies are exploring the use of AI. As a result, it isn’t much of a surprise to learn that there is a talent scramble underway. According to sources, Mark Zuckerberg has written personal emails to researchers at Google’s DeepMind, in an effort to convince them to come and work at Meta. 3 AI roles to apply for today

Compliance AI Lead, Robinhood, Menlo Park ($140,000 - $165,000)
AI Development Manager, Generative AI, Autodesk, Boston ($149,600-$242,000)
AI Engineer, Vorto, Denver ($120,000-$180,000) The company is also reported as making job offers to suitable candidates without interviews, and it has stepped back on a policy of not offering higher salaries to existing staff who have job offers from competitors. When it comes to what you can earn if you’ve got the right AI skills, reports indicate that Meta pays AI researchers up to $2 million, and OpenAI has even deeper pockets, offering salaries in the $5 million to $10 million range. Not bad. And while job search site Indeed has found that the number of job postings for software roles has tapered off, there has been a 15.7% increase in the number of AI-related postings. According to Pluralsight’s 2024 Technical Skills Report, interest in developing AI/ML skills has increased 11% from last year among technologists, and a new Microsoft report reveals that two-thirds of leaders wouldn’t hire someone without AI skills. This all presents an opportunity for talented workers––along with a challenge for companies, as 43% of HR managers said in 2023 that their companies would face a skills gap. A recent survey from AWS has also found that only 14% of workers consider themselves to have “advanced” fluency in AI, which means that there is an opportunity gap that is waiting to be filled, not enough talent currently has the correct capabilities. One way to address an AI skills gap is with education. Right now, there are a number of free resources you can take advantage of, including some from MIT. 3 DevOps jobs to discover this week

DevOps Engineer, ByteDance, San Jose ($136,800-$205,000)
DevOps Engineer, Blackstone Technology Group, Herndon
DevOps Engineer, Cohere Health, Remote Or, you could take a look at the Inception Program from NVIDIA's Deep Learning Institute (DLI). It is offering free credits aimed at enhancing AI skills, for those working at startups. You can apply even if your company doesn’t use NVIDIA's GPUs or SDKs, and if you’re approved, you’ll get free technical training, opportunities for co-marketing and customer introductions, engineering guidance, and exposure to a community of VCs. There are also many areas you can do a learning deep-dive on, across talks, tutorials, panels, demos, DLI Training Lab, or fireside chats for example. Topics on coffee include Generative AI With Diffusion Models, Fundamentals of Deep Learning, Rapid Application Development Using Large Language Models, or Building RAG Agents with LLMs, for example. AI upskilling makes sense: not only can it future-proof your career prospects, but learning in-demand skills will get you hired. Ready to find your next role in tech? Whether you want to pivot to AI or put your coding expertise to good use, visit the Hackernoon Job Board today By Kirstie McDermott These days, everybody is talking about AI . According to trends platform Exploding Topics , this year, there are around 70,000 AI companies worldwide compared to 2023’s 67,300. One in four is based in the U.S., and global AI funding grew by a factor of seven between 2015 and 2019. AI Exploding Topics Exploding Topics Take up is accelerating as well: there are over 115 million companies currently using AI and around 42% of companies are exploring the use of AI. As a result, it isn’t much of a surprise to learn that there is a talent scramble underway. According to sources, Mark Zuckerberg has written personal emails to researchers at Google’s DeepMind, in an effort to convince them to come and work at Meta. 3 AI roles to apply for today Compliance AI Lead, Robinhood, Menlo Park ($140,000 - $165,000)
AI Development Manager, Generative AI, Autodesk, Boston ($149,600-$242,000)
AI Engineer, Vorto, Denver ($120,000-$180,000) 3 AI roles to apply for today 3 AI roles to apply for today Compliance AI Lead, Robinhood, Menlo Park ($140,000 - $165,000) AI Development Manager, Generative AI, Autodesk, Boston ($149,600-$242,000) AI Engineer, Vorto, Denver ($120,000-$180,000) Compliance AI Lead, Robinhood, Menlo Park ($140,000 - $165,000) Compliance AI Lead, Robinhood, Menlo Park ($140,000 - $165,000) Compliance AI Lead, Robinhood, Menlo Park ($140,000 - $165,000) Compliance AI Lead, Robinhood, Menlo Park ($140,000 - $165,000) AI Development Manager, Generative AI, Autodesk, Boston ($149,600-$242,000) AI Development Manager, Generative AI, Autodesk, Boston ($149,600-$242,000) AI Development Manager, Generative AI, Autodesk, Boston ($149,600-$242,000) AI Development Manager, Generative AI, Autodesk, Boston ($149,600-$242,000) AI Engineer, Vorto, Denver ($120,000-$180,000) AI Engineer, Vorto, Denver ($120,000-$180,000) AI Engineer, Vorto, Denver ($120,000-$180,000) AI Engineer, Vorto, Denver ($120,000-$180,000) The company is also reported as making job offers to suitable candidates without interviews, and it has stepped back on a policy of not offering higher salaries to existing staff who have job offers from competitors. When it comes to what you can earn if you’ve got the right AI skills, reports indicate that Meta pays AI researchers up to $2 million, and OpenAI has even deeper pockets, offering salaries in the $5 million to $10 million range. Not bad. And while job search site Indeed has found that the number of job postings for software roles has tapered off, there has been a 15.7% increase in the number of AI-related postings. Indeed Indeed According to Pluralsight’s 2024 Technical Skills Report , interest in developing AI/ML skills has increased 11% from last year among technologists, and a new Microsoft report reveals that two-thirds of leaders wouldn’t hire someone without AI skills. 2024 Technical Skills Report 2024 Technical Skills Report new Microsoft report new Microsoft report This all presents an opportunity for talented workers––along with a challenge for companies, as 43% of HR managers said in 2023 that their companies would face a skills gap . face a skills gap face a skills gap A recent survey from AWS has also found that only 14% of workers consider themselves to have “advanced” fluency in AI, which means that there is an opportunity gap that is waiting to be filled, not enough talent currently has the correct capabilities. survey from AWS survey from AWS One way to address an AI skills gap is with education. Right now, there are a number of free resources you can take advantage of, including some from MIT . some from MIT some from MIT 3 DevOps jobs to discover this week DevOps Engineer, ByteDance, San Jose ($136,800-$205,000)
DevOps Engineer, Blackstone Technology Group, Herndon
DevOps Engineer, Cohere Health, Remote 3 DevOps jobs to discover this week DevOps Engineer, ByteDance, San Jose ($136,800-$205,000) DevOps Engineer, Blackstone Technology Group, Herndon DevOps Engineer, Cohere Health, Remote DevOps Engineer, ByteDance, San Jose ($136,800-$205,000) DevOps Engineer, ByteDance, San Jose ($136,800-$205,000) DevOps Engineer, ByteDance, San Jose ($136,800-$205,000) DevOps Engineer, Blackstone Technology Group, Herndon DevOps Engineer, Blackstone Technology Group, Herndon DevOps Engineer, Blackstone Technology Group, Herndon DevOps Engineer, Cohere Health, Remote DevOps Engineer, Cohere Health, Remote DevOps Engineer, Cohere Health, Remote Or, you could take a look at the Inception Program from NVIDIA's Deep Learning Institute (DLI). It is offering free credits aimed at enhancing AI skills, for those working at startups. NVIDIA's Deep Learning Institute NVIDIA's Deep Learning Institute You can apply even if your company doesn’t use NVIDIA's GPUs or SDKs, and if you’re approved, you’ll get free technical training, opportunities for co-marketing and customer introductions, engineering guidance, and exposure to a community of VCs. There are also many areas you can do a learning deep-dive on, across talks, tutorials, panels, demos, DLI Training Lab, or fireside chats for example. Topics on coffee include Generative AI With Diffusion Models, Fundamentals of Deep Learning, Rapid Application Development Using Large Language Models, or Building RAG Agents with LLMs, for example. AI upskilling makes sense: not only can it future-proof your career prospects, but learning in-demand skills will get you hired. Ready to find your next role in tech? Whether you want to pivot to AI or put your coding expertise to good use, visit the Hackernoon Job Board today Ready to find your next role in tech? Whether you want to pivot to AI or put your coding expertise to good use, visit the Hackernoon Job Board today Ready to find your next role in tech? Whether you want to pivot to AI or put your coding expertise to good use, visit the Hackernoon Job Board today Ready to find your next role in tech? Whether you want to pivot to AI or put your coding expertise to good use, visit the Hackernoon Job Board today By Kirstie McDermott By Kirstie McDermott By Kirstie McDermott

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Food and Flavor: A Gastronomic Guide to Health and Good Living: Chapter VIII - EPICUREAN ITALY

320 Stories To Learn About Deep Learning

The world has never evolved this fast. This is especially true in Artificial Intelligence, where are redefining the boundaries of possibility. Likewise for this new emerging field of LLMOps. My name is Louis, and today I want to share a curated list of resources I’ve built over time from the questions I got on YouTube for people wanting to get started in the field. Large Language Models (LLMs) My is full of resources for those starting in AI, packed with courses, books, and podcasts. As the AI field advances, so too has my perspective. In 2023, the focus shifts from theory to practical application, from learning algorithms to leveraging them in real-world scenarios. original AI guide is more than just a guide; it's a roadmap for anyone with a tiny bit of Python skills, eager to dive into AI or enhance their existing skills. Whether you're new to programming or AI, my beginner’s guide is your first step. And for those already on the path, this updated guide serves as a compass, pointing you toward mastering LLMs. This new one LLMs are at the forefront of today's tech revolution. Understanding and utilizing these models is key to unlocking doors in AI-driven careers. This guide isn’t just a compilation of resources; it's a curated journey through the most valuable skills in the industry. It's about building a strong LLM-focused portfolio, whether for your next job, boosting productivity, or launching your own startup. And the best part? It's completely free. I also encourage you to contribute, sharing any valuable LLM resources you come across. Please, reach out here or submit an issue on the with resources you used and found pertinent! GitHub repository I put emphasis on sharing various learning modalities - from YouTube videos and podcasts for auditory learners to in-depth articles, books, and hands-on courses for those who prefer a more structured approach. This multi-modal learning experience is designed to cater to different learning styles, ensuring a comprehensive and engaging journey into the world of LLMs. Here are the Best Resources from the Guide (to make you want to learn more!): : A selection of short, informative videos introducing LLM concepts and terminology (Letitia Coffee Break, ByCloud, What’s AI). YouTube Videos : Recommendations include ‘Lex Fridman Podcast,’ ‘Machine Learning Street Talk,’ and ‘What’s AI by Louis Bouchard.’ Podcasts : Articles and books, notably ‘The Illustrated Transformer’ by Jay Alammar. Reading Materials : Online Courses ‘Train & Fine-Tune LLMs for Production Course’ by Activeloop, Towards AI, and Intel Disruptor Initiative. ‘LLM University’ by Cohere. YouTube ‘Gradio Course’ by freeCodeCamp. : Join platforms like Discord, Slack, and Reddit for collaboration and knowledge exchange. The Learn AI Together community I built is an amazing one for Discord. AI Communities : I shared a few highly relevant curated newsletters and YouTube channels for the latest in AI. News and Updates Some of the Learning Tips I shared in my video: : Emphasize building projects and applying what you learn. Practical Application : Engage in listening, watching, reading, and doing for a comprehensive learning experience. Diverse Learning Modalities : Join AI communities for motivation, networking, and collaborative learning. Community Engagement : Regular hands-on practice to reinforce learning and skill development. Continuous Practice : Keep up with the latest AI developments through newsletters and YouTube channels. Stay Updated : Leverage tools like ChatGPT or GitHub Copilot for efficient learning and project development. Use Assistive Tools : Learn Prompting and Retrieval Augmented Generation (RAG) techniques. Explore Advanced Concepts : Balance structured courses with self-guided exploration and project work. Balanced Learning even if you are super motivated. Sleep enough. Move enough. See friends and family enough! Don’t forget your mental health, Learn more about the guide and LLMOps in the video… https://youtu.be/58XmJxb1x_o?embedable=true&transcript=true The full guide on GitHub: https://github.com/louisfb01/start-llms?embedable=true

Beginner's Roadmap to Large Language Models (LLMOps) in 2023: All free!

Evolving out of Network States, CoordiNations take a more nuanced approach to creating autonomous spaces, allowing a more diverse set of outcomes from startup cities to What is a CoordiNation? The concept of “ ” has been a hot topic since the 2022 release of Balaji's book on the topic. This is not a new concept and draws many inspirational sources like , , and . However, I believe the term "Network State" is too limiting and implies sovereign political power. While Balaji’s framework of offline → online and small → large is accurate, he over-imposes his own ideals and ambitions, narrowing the possibilities to only those who want to create their own nation-state. Network State The Sovereign Individual Cryptonomicon Free Cities As an anarchist, I prefer the term "CoordiNation," which was coined at the recent Zuzalu gathering. It is a tiny linguistic change that immediately distinguishes the cultural differences and political systems being activated. “Nations” are often defined as “ethnolinguistic” groups, that is, a shared culture and language. “States,” on the other hand, claim to be the true voice of the nation and assert their power by having a monopoly on violence to enforce their ideals whether The People agree or not. In contrast to nation-states, which are monopolistic power structures, a CoordiNation is a group of people with a collective identity that organizes together to live and take care of each other. CoordiNations are more similar to , using land and technology to scale by disseminating culture and gating members. Unlike Network States, CoordiNations allow for a more diverse set of outcomes for groups who don’t necessarily want to create their own sovereign political borders, from popup cities like Zuzalu to networked cities like Cabin DAO to mutualistic cooperatives like Cohere. MicroSolidarity I’m excited for this Network State / CoordiNation movement since I’ve been a digital nomad since 2017 and have been traveling solo around the world looking for a new home. This writing is part of my own reflections and understanding of the different projects. What exactly is a Network State or CoordiNation? How are models like Liberland or Cabin DAO similar or different? What are the new modes of living, working, playing, and governing that they are experimenting with? The goal is to understand the diverse manifestations of this social organizing trend through case studies. By examining successful practices and potential pitfalls, we can clarify the future possibilities for CoordiNations to empower new cultures and ways of living. It’s also a useful resource for potential members figuring out which communities fit them best that they want to join and also project organizers to understand how members might be analyzing them and making decisions in the wild so they can better learn and differentiate from each other. From my experience so far, the main framework for Network States still applies to all CoordiNations: Create a well-defined culture and value system Collect a group of people who share these cultures and values online Refine and expand the culture and values Organize physical gatherings to reinforce culture, values, and interpersonal relationships Gather for longer and longer periods of time with larger and larger groups Acquire land(s) to permanently coexist with your people (optional) Be “recognized” as a nation by outsiders CoordiNations I’m Exploring Description Liberland Zuzalu Cabin DAO Cohere Praxis Defining Characteristic In a word, the driving purpose of the community Libertarianism Lunarpunk techno-optimism Live in nature Spiritual coliving Crypto startup city Inception When the first organized physical meeting of members happened December 2015 March 2023 July 2021 June 2022 N/A Population ~900 ~900 ~300 ~400 ~100 Motto “To live and let live.” “Build popup playgrounds for innovators.” “Colive with friends in nature” “Create conscious community” Differentiator Newest, most innovative nation in the world The first pop-up city Crypto x Nature x Art Wholesome af fam Embedded government incubation Website https://liberland.org/en/ https://zuzalu.city/ https://cabin.city/ https://www.cohere.network/ https://www.praxissociety.com/ Primary Social Media https://twitter.com/Liberland_org Private Telegram https://twitter.com/cabindotcity https://www.instagram.com/coherenetwork https://twitter.com/CityofPraxis Longform Intro Easiest way to get a holistic sense of the Coordination https://liberland.org/en/constitution (no official sources) https://www.lifespan.io/news/zuzalu-shining-city-on-the-black-mountain https://creators.mirror.xyz/zHox-AfvHbX0Q2JxAbcfwiAmOXRy7BzYafhZNlvHnmM https://alistairlanger.de/projects/cohere/ https://www.cityofpraxis.com/master-plan Land Acquisition Strategy How are they creating physical spaces for permanent establishments? Squatting uncontested international land (terra nullius) N/A Individual, voluntary land access Crowdfunding to purchase + REIT investors Crowdfunding + government partnerships Cultural Homogeneity Is there a singular, all-encompassing culture (Japan) or many mixed together with a unifying vision (America) Homogenous Heterogenous Heterogenous Homogenous Homogenous Time/Space Does it exist for a short time and change locations, or is it a single space over a long time or multiple permanent locations that you can travel between? perpetual + unitary ephemeral + unitary perpetual + omnipresent perpetual + omnipresent / ephemeral + unitary perpetual + unitary Citizenship Benefits N/A Access to social networks and tooling https://cabin-fellowship.notion.site/Cabin-Citizenship-071295e889284c12a3aeb6f66ffc2d65 https://www.cohere.network/membership/benefits https://www.praxissociety.com/plan Citizenship Application https://liberland.org/en/citizenship N/A https://cabin.city/ https://www.cohere.network/membership/benefits https://www.praxissociety.com/apply Sovereign or EndoSymbiont Do they want to have political sovereignty and own country or exist within the bounds of existing States. Sovereign EndoSymbiont EndoSymbiont EndoSymbiont EndoSymbiont Github https://github.com/liberland/ https://github.com/zuzaluorg/ https://github.com/CabinDAO N/A N/A Over the past six months, I have been traveling around the world, joining and participating in various CoordiNations that are emerging in and around the crypto community. I’ve spent a few months between Cabin DAO, Cohere, and Zuzalu between March and August 2023 and found people who energized me intellectually, spiritually, and socially in ways I didn’t know were possible. It was an experiential discovery that has led to a profound sense of belonging. My participation varied across the featured CoordiNations. While the crypto-centric Zuzalu and Cabin DAO have familiar faces and values, my time embedded in each community has been limited. On the other hand, I’ve spent over a month fully immersed at Cohere, where I knew no one going in but felt the strongest connection to. I have only just recently been accepted as a resident of Praxis, so I don’t know much about them yet and am still in the process of joining Liberland. I’m most interested in these particular CoordiNations because they: Were introduced through friends/colleagues Are in various stages of development Have different cultures and goals Have different methods and strategies. Generally lean towards prosocial and regeneration Diverse members across age, country, profession, etc. World-changing mission, not just coliving spaces or retreat centers So we can gather a sense of what truly is a “CoordiNation” by seeing the similarities between all of them, what are the most successful techniques so far, and what they/you can improve on in the continuing pursuit of creating a new nation. Similarities and Differences While distinct in their individual cultures, the explored CoordiNations share some demographic and values-based attributes. They all have pretty well-defined cultures, either explicitly created themselves or implicitly from the communities that they recruit from. While they share a lot of obvious commonalities - mostly 20-30-year-olds, creative knowledge workers, digital nomads, tech-savvy, upper-middle class, progressivism + classical liberalism political viewpoints simultaneously, and solar punk futurists. Liberland is more of an outlier, having older members with a more conservative/cyberpunk mindset. Of the 3, I’ve spent significant time with members individually and as a group; they are all wholesome af. They not only care deeply about each other, they care about helping others and the world. They all also have a focus on mental and physical health for their members, with some also focusing on the environment and regenerative systems. Using open-source software for their infrastructure and their laws/community codes to allow anyone to propose changes, track these changes, and automatically publish them is common but not a standard. And, of course, and DAOs are a big component of all their offerings and visions as well. cryptocurrencies has the most international geopolitical recognition. Their strategy is to get accepted into the United Nations by getting five current member states to recognize them officially. They have connections to officials in the US, EU, UN, and many other political organizations. However, this hasn’t helped them much in their relations with Croatia, who, , was actively blockading Liberlanders from accessing their land, building infrastructure, and doing trade with Serbia. Although I haven’t been to any community gatherings, they feel like they have the strongest will to exist and the most coherent, if simplistic, culture and vision. This leads me to believe that Liberland has the best chance of actually becoming a thing, which is great because its legitimacy lifts up all others in the movement. Liberland up until a couple of weeks ago isn’t aiming to have a single place or organization but rather a way of . They are building tools for people to organize popup playgrounds related to open-source technology, health, science, and social innovation. What I call “village tech”—is focused on enabling community, collaboration, and hands-on learning in physical spaces and local communities via messaging, ticketing, identity, events, calendars, polling, funding, and everything else needed for in-depth engagement from large groups of people. Even without their tech stack developed yet, Zuzalians are already self-organizing meetups, events, and coliving all around the world months after Zuzalu “officially” ended, making it more active than the other groups despite having the least coordinated effort to become a permanent physical establishment. Zuzalu creating spaces I find the most interesting because of its decentralized approach, where land ownership is retained by individual members who voluntarily provide access to land, resources, and services. This means that all the CoordiNations can co-exist within the Cabin network while retaining autonomy. Rather than competing for dominance, Cabin DAO facilitates discovery and cross-pollination of emerging communities, similar to how Zuzalu’s tech will likely become the core stack for coordinating IRL. Cabin DAO is more spiritually oriented than the others; it feels more like a large family than a group of values-aligned individuals. They also focus on real estate acquisition, acting as a tokenized with a rent-to-own model for members. Cohere has a dual model where the community doesn’t just take over a location but tries to integrate with the existing community to help them leverage the value of the Cohere members and services that come through the space. Part of that offering is fractionalizing and tokenizing land so existing landowners can retain partial ownership while letting Cohere and Co have skin in the game. Cohere REIT The variability across these early CoordiNation experiments highlights their organic nature as dynamic social organisms. Today's context of globally connected knowledge workers accustoms us to fluid asynchronous collaboration and co-creation of culture. CoordiNations represent a further evolution of these cultural conditions - enacting new modes of voluntary association and symbiotic sovereignty. As localized yet expansively networked communities, CoordiNations elude tidy definitions or constraints. Their iterative self-determination enables paradigm shifts toward human-centric societies. CoordiNations invite us into novel ways of organizing that nurture collective potential. As the movement spreads with new communities and cultures developing, we’ll learn more and more ways to congregate, coordinate, and collaborate with themselves and each other. Creating “The” Networked State In the unfolding narrative of CoordiNations, we find not only a reflection of our evolving social landscape but also a catalyst for the transformation of our global society. In our exploration of these dynamic social organisms, we witness the convergence of diverse cultures, values, and aspirations, transcending geographical boundaries. But what if the meta is that CoordiNations is not a concept but a collective, that there is only one CoordiNation that we each contribute to in our own way? The shared ethos of these CoordiNations—innovation, holistic health, voluntary association, symbiotic sovereignty—has already led to significant overlap between the cultures, values, and membership of Cabin DAO, Cohere, and Zuzalu, creating a meta-network. If we continue with our earlier definition of a nation as an ethnolinguistic group with commonly shared values and practices, these aligned CoordiNations can be diverse states within a federated nation. Just as Americans from different states find unity within their national identity, can CoordiNations blur the lines, too, becoming symbiotic organisms working harmoniously while still remaining self-sufficient and autonomous? What are the boundary conditions between each CoordiNation if the land isn’t the main delimiter? What are the roles of each community within the ecosystem? How can we create a mutually reciprocal relationship without federal government intermediation? The path ahead invites us to envision a world where CoordiNations and "The" Networked State transcend individuality, giving rise to a collective force that shapes the future of human-centric societies. Also published . here

CoordiNations: Shaping the Future of Autonomous Societies Beyond Network States

In June, the young family of generative AI (gen AI) unicorns suddenly got a new member. Inflection AI ripped the chart suggested by CBInsights just a month before and got onto the third position, dethroning Cohere AI. So we have to oblige, and after covering two Gen AI leaders OpenAI and Anthropic, we dive into the precocious startup, Inflection AI. Having introduced its core product, an AI assistant named Pi, in May and published a memo about Inflection-1, a Large Language Model ( ) behind Pi in June, Inflection AI took the industry by storm the same month with an astonishing $1.3 billion in funding and a $4 billion valuation – all within its first two years of existence! LLM The company's sudden surge owes much to the attraction of high-profile investors, including technology luminaries such as Bill Gates, Eric Schmidt, and Reid Hoffman (also a co-founder), along with tech giants and . These financial ties extend beyond mere investments. Microsoft is providing its cloud computing infrastructure to strengthen Inflection's capabilities, while Nvidia, in partnership with CoreWeave, is integrating 20,000 of its H100 GPUs for LLM training. Microsoft Nvidia Let's dive deeper and discover more about the founders, their vision, the development behind the model powering Pi, and other crucial details. Finding them was not that easy! Content Overview The starting point of Inflection Financial and legal situation Mission of Inflection and its founders First product Tech behind Pi (LLM development facts) How Inflection is going to make money? Founders’ attitude toward AI risks A few not widely known facts about Inflection's founders 1. The starting point of Inflection According to the official information, Inflection AI has three founders: Karén Simonyan (Chief Scientist and Co-founder) Reid Hoffman (Co-founder) Mustafa Suleyman (CEO and Co-founder) , Inflection hasn't been very transparent with independent media. Some information available that extends beyond mere press releases or PR work stems from the podcast hosted by Reid Hoffman for Greylock Partners (a VC fund where Hoffman has been a partner since 2009). In January 2022, announcing Mustafa Suleyman as a new partner in Greylock Partners, Reid Hoffman : “I’ve known Mustafa personally for more than a decade. We first met at a pub in London. What struck me most was our inspiring and provocative discussion on the power and potential of AI to help solve some of humanity’s most urgent challenges. It marked the beginning of a deep and lasting friendship between Mustafa and I.” Operating with a low profile said More than a decade ago from 2022 was about a time when Mustafa Suleyman (along with Demis Hassabis and Shane Legg) co-founded DeepMind, one of the first AI research labs. In 2014, it was acquired by Google ( ). In January 2022, Suleyman left Google, joined Greylock Partners, and now the main AI R&D is led by the new structure called Google DeepMind in March 2022, Inflection was born (incubated by Greylock). Located in Palo Alto, California. Introducing Inflection AI on the Greylock website, Suleyman called it an "AI-first consumer products company." However, at that moment he didn't clarify exactly what that meant. 2. Financial situation and legal situation In May 2022, in equity financing, though the source of the capital wasn't immediately clear as Inflection didn't respond to the request for more information. Subsequently, when Inflection announced the $1.3 billion funding round in 2023, they clarified in that the first round was raised from Greylock, Microsoft, Reid Hoffman, Bill Gates, Eric Schmidt, Mike Schroepfer, Demis Hassabis, Will.i.am, Horizons Ventures, and Dragoneer. TechCrunch that Inflection had secured $225 million reported the official press release At some point, the information on Inflection's website changed to describe the company as an "AI studio creating a personal AI for everyone." They chose the same legal structure as did Anthropic: , a new type of corporation to balance the interests of shareholders, materially affected individuals, and the public good. public benefit corporation 3. Mission of Inflection and its founders Introducing Inflection, as always, on the Greylock podcast, , "Our mission was to build a tool that is designed to understand the user, rather than the other way around. We wanted it – whether that be connecting with other human beings, making decisions, figuring out how to navigate a problem at work, or more.” Reid Hoffman said to be more than an answerer of questions but a participant in the dialogue that helps you along your life's path Throughout other interviews about Inflection and its first product Pi, they used words such as 'reliable,' 'ever-present,' 'non-judgmental,' 'kind,' and 'supportive’. To get to the point where a chatbot can be all this sounded like a mission. 4. First product In May 2022, Inflection AI shipped its first core product – Pi, a chatbot with the primary goal to serve as a 'Personal AI'. It’s said that Pi uses emotional intelligence to aim for human-like conversations. While its use case is narrower than other services like ChatGPT, Google’s Bard, or Microsoft’s Bing chatbot, it strives to mimic human conversation patterns. Pi's training incorporates data up to November 2022, and it is committed to user privacy, refraining from using identifiable information in training. WhatsApp, Instagram PMs, Facebook Messenger, iMessage, or via the website – the ways to talk to Pi. The main difference from the most commonly used LLM products is the Pi remembers communications with you. The chatbot is also made to resist starting to flirt with a user. Named for "personal intelligence", Pi functions in several roles like teacher, coach, and confidante, designed to align with individual interests and needs. 5. Tech behind Pi Not much is known about the technology behind Pi. However, a month after its launch, the company revealing its foundation on the proprietary LLM, Inflection-1. According to the website, Pi doesn't utilize any third-party language model APIs. released a memo In the memo, the company stated: "The Inflection-1 architecture, dataset, and training procedure are proprietary, and we omit their details in this memo." What we do know is that Inflection-1 demonstrated impressive performance on the Massive Multitask Language Understanding (MMLU) benchmark, surpassing other well-known LLMs such as Meta's LLaMA, OpenAI's GPT 3.5, and Google's PaLM 540B, particularly in answering trivia questions. Additional information from Inflection's partner, CoreWeave's official website, that Inflection AI utilized 3,500 NVIDIA H100 Tensor Core GPUs and a cluster comprising over 40,000 cables and 500 miles of InfiniBand fiber cables for MLPerf Training benchmark competition submission, achieving an impressive 11-minute training benchmark. confirms , that Inflection AI is working on a cutting-edge supercomputer equipped with 22,000 NVIDIA H100 GPUs that is expected to be one of the largest In the industry, right behind AMD's Frontier. However, there's some debate regarding the true computational power of this setup. While Inflection AI claims that these GPUs could provide 22 exaflops in 16-bit precision mode, suggest that the actual performance might not meet these expectations. There are rumors calculations by The Next Platform Though the model is proprietary, the references that are mentioned in the do not list any in-house research papers. official memo 6. How Inflection is going to make money? There are many unknowns at the moment. The developers are exploring different monetization strategies, including the possibility of adding subscription options. Another option is to keep it free but use ads to earn revenue. Currently, Inflection AI is a free platform available to everyone worldwide. On our request to learn more about the business model, neither Reid Hoffman nor Mustafa Suleyman replied. In another podcast with Reid Hoffman, Mustafa Suleyman stated, “ And likewise, we sort of don’t want to drive the kind of addictive dopamine hits of outrage or anger or despair or viral misinformation. These kinds of things have really incentivized people to spend longer on the platform, and sometimes that’s because they’re getting paid for it. We are very, very conscious that this is a moment that needs to change with AI, and that new business models need to emerge to address this." It’s really important to us that we figure out a monetization mechanic that doesn’t incentivize us to keep you engaged or maybe distracted on the platform for as long as possible. 7. Founders’ attitude toward AI risks Reid Hoffman intentionally chose to be positive about AI. , “So in recent months, He has done so in blog posts, television interviews, and fireside chats. He has spoken to government officials around the world. He hosts three podcasts and a YouTube channel. And in March, he published a book, “Impromptu,” co-written with the A.I. tool . The New York Times reports Mr. Hoffman has engaged in an aggressive thought-leadership regimen to extol the virtues of A.I. GPT-4 “I’m beating the positive drum very loudly, and I’m doing so deliberately,” he said. The 55-year-old sits on the boards of 11 tech companies including , which has gone all in on AI, and eight nonprofits. His venture capital firm, Greylock Partners, has backed at least 37 AI companies.” Microsoft , Reid Hoffman said that the , He thinks that since technology 'always puts tools in the hands of good and bad actors,' throughout our history, we have learned how to figure this out. In the same interview, he said, ' . In an interview to Washington Post conversations about superintelligence divert us from the real risk which is AI in the hands of bad actors. Part of the reason why I beat the drum so firmly in the positive camp is not that I'm risk unaware, and I think we need to navigate them, but oh, my gosh, every month we delay an AI tutor and doctor, for everyone who has a smartphone or has a friend who has a smartphone, just think about the human suffering that is caused by that delay, and that is super important This story was at Turing Post. Consider to receive new episodes straight to your inbox. originally published ing subscrib 8. A few not widely known facts about Inflection Founders Reid Hoffman Reid Hoffman ( ) is among a small group of interconnected tech executives leading the A.I. charge, many of whom also led the last internet boom. on Twitter He is part of the "PayPal Mafia," a group of former PayPal employees who went on to become successful entrepreneurs and investors in the tech industry. Reid Hoffman's entrepreneurial journey has been marked by resilience and determination. After his failure with SocialNet, he became obsessed with scaling and invested heavily in the social networking phenomenon, which eventually led to the co-founding of LinkedIn, the world's largest professional network with a diversified revenue model that includes subscriptions, advertising, and software licensing. He also led the company to its successful acquisition by Microsoft. One of the first investors in OpenAI, he was sitting on its board until March 2023, stepping down to avoid any conflicts of interest with Inflection AI. He still sits on the Board of directors at Microsoft. Reid Hoffman is a proponent of effective altruism (founders of OpenAI and Anthropic have strong ties with EA also), which advocates for using wealth and resources to create the best for the most people. In 2017, he : “If you have wealth, and at least a reasonable moral compass, to ask, “How do you create the most good for the most people?” I’m not saying this is the perfect system. But what’s the better system?” said to the Atlantic Reid Hoffman is a prominent philanthropist and has invested in impact investments through charitable entities. over $1.5 billion Hoffman is an avid fan of Dungeons & Dragons, and he attributes its influence to his thinking about life as a heroic quest with various players coming together to accomplish something. He believes in the power of friendship and considers it the true center of his life. Reid views friendship as a skill that can be learned and improved through asking questions and interacting with others. Mustafa Suleyman ( ) on Twitter He dropped out of Oxford University at 19 to start the Muslim Youth Helpline, a telephone counseling service for Muslims in the UK. He worked as a policy officer on human rights for Ken Livingstone, the Mayor of London, before founding Reos Partners, a ‘systemic change’ consultancy that uses methods from conflict resolution to navigate social problems. In February 2016, Suleyman launched DeepMind Health at the Royal Society of Medicine, a project that builds clinician-led technology for the NHS and other partners to improve frontline healthcare services He received the Commander of the Most Excellent Order of the British Empire (CBE) in 2019 for his influence in the UK technology sector and also accepted the Silicon Valley Visionary Award the same year Within DeepMind, he established the DeepMind Ethics & Society research unit, aiming to study the real-world implications of AI and promote ethical practices in the technology industry. One of the founding members of the Partnership on AI — an organization set up in September 2016 to ensure that AI is developed safely, ethically, and transparently — along with Facebook's AI head Yann LeCun, Microsoft Research director Eric Horvitz, and several others. Suleyman recently proposed a modern Turing test, , “to measure whether a machine has achieved ACI, you give an AI $100,000 and see if it can turn the seed investment into $1 million. To do so, the bot must research an e-commerce business opportunity, generate blueprints for a product, find a manufacturer on a site like Alibaba and then sell the item (complete with a written listing description) on Amazon or Walmart.com.” Suleyman expects AI will pass this more practical threshold sometime in the next two years. according to Bloomberg Karén Simonyan There is much less information about Karén Simonyan. Karén is not active on social media, he has no Twitter, a barely filled , and a well-developed . LinkedIn account Google Scholar page Education & Career History: 🔬 Chief Scientist, Inflection AI (2022 – Present) 🔬 Research Scientist, DeepMind (2014 – 2022) 🔬 Postdoc, University of Oxford (2013 – 2014) 🔬 Ph.D. student, University of Oxford (2009 – 2013) While doing his postdoc in 2013, in Oxford, Karén Simonyan along with Andrew Zisserman created the VGGNet image processing framework. VGGNet won the prestigious ImageNet Challenge. To commercialize it, they created a company Vision Factory AI, which was soon acquired by a not-very-known at that time startup DeepMind Technologies, where in 2014 Simonyan became a Principal Research Scientist. There, he played a key role in various AI breakthroughs, such as AlphaZero, AlphaFold, WaveNet, BigGAN, and Flamingo. While in DeepMind, Karen authored and co-authored numerous publications, including five papers in Nature and Science, accumulating an impressive 180,000 citations. Since he co-founded Inflection AI, only one paper was published with Karén Simonyan as a co-author . HiP: Hierarchical Perceiver That’s it for now. The information about Inflection AI will be constantly updated… Thank you for reading, please feel free to share with your friends and colleagues. This story was at Turing Post. Consider subscribing to receive new episodes straight to your inbox. originally published

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