Key takeaways from yesterday's OpenAI DevDay in London and the Q&A with Sam Altman: The big takeaway? OpenAI is all about building integrated, powerful, and autonomous systems, focusing on long-term transformation rather than quick wins. 🚀 Here’s what the CEO of OpenAI shared about the future of AI: 1. **On Development & Investment:** - It’s not just about single models, but enhancing LLMs as a whole. - Trillion-dollar investments? Totally worth it for education and healthcare potential. 💰 - “Don’t build crutches for current limitations – create for future possibilities.” 2. **About AI Agents:** - Definition: "A system for long-term tasks with minimal oversight." - Killer features: parallel processing (300 calls at once) and extended autonomy. - Think of an AI Agent as that smart senior colleague you can trust with a week-long project. 3. **New O1 Features Announced:** - Function calling - Developer messages - Streaming - Structured outputs - Image understanding 🖼 💡 **Startup Tips:** - Focus on vertical solutions (like AI lawyers or engineers). - Build with future AI enhancements in mind. - Create things that amplify what LLMs can do, not just compensate. **On Hiring & Leadership:** - “I was over 30 when I founded OpenAI.” - Balancing young talent with experience matters! - The only requirement? Exceptional talent. 🔮 **5-Year Forecast:** - Tech will evolve at lightning speed. - Society will change slower than expected, but more profoundly. - Think transistors, not just the internet – a fundamental shift in computing physics. And a philosophical note from Sam Altman: “I don’t pray for God to be on my side; I pray to be on God’s side. Working on these models definitely feels like working alongside angels.” 🙏✨
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🚀 OpenAI just dropped some serious upgrades at DevDay 2024! From real-time voice AI to vision fine-tuning, they're making AI development faster, cheaper, and more accessible. 🧠 💻 Whether you're a tech giant or a startup, these tools are game-changers. Curious about the future of AI dev? Click through to read my full breakdown. It's not just evolution; it's a revolution! https://lnkd.in/gWJYiFeZ #OpenAIDevDay #AIInnovation
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“What did Ilya see?” has an obvious answer. He saw OpenAI grappling with the same choice every Big Tech company does: Speed vs. Consequences. Speed won. The problem is that you only see the implications of advanced AI and simulations after you’ve built one. There are thousands of positives for society and a small number of equally substantial risks. Advanced AI lets people scale up every bad habit they have and allows companies to exploit every human weakness to sell products. Advanced simulations, given the ability to act (algorithmic trading, for example), destabilize marketplaces. Flash crashes will become more common and spread beyond stock markets. Wallstreet Bets and Meme Stocks are a case study of what happens when you combine simulations and behavioral targeting. Advancing AI responsibly slows product delivery, while advancing as fast as possible keeps startups ahead of their competition. Safety teams are eventually disbanded because the companies that survive choose speed, and the startups that fade from memory choose consequences. The good news is, it’s always up to us. We choose the products we use, which drives business decisions about what products to provide. We choose how the startups we found use technology and, as technical ICs, what technology we agree to build. #AI #Ethics #OpenAI
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OpenAI's Dilemma: Faced with the common Big Tech choice of Speed vs. Consequences, OpenAI chose speed. Modern market forces have thrust businesses into the era of agility with the expectation to work faster and be more flexible. They care more about being quick and beating the competition than thinking about the possible problems. This means we are often expected to develop and release products quickly, while paying enough attention to safety and responsibility enforced by regulatory institutions. #AgileEra #BusinessAgility #SpeedOverSafety #FastPacedMarket #CompetitiveEdge #RapidDevelopment #FlexibleWork #ProductRelease #MarketPressures #ResponsibleDevelopment
AI Advisor | Author “From Data To Profit” | Course Instructor (Data & AI Strategy, Product Management, Leadership)
“What did Ilya see?” has an obvious answer. He saw OpenAI grappling with the same choice every Big Tech company does: Speed vs. Consequences. Speed won. The problem is that you only see the implications of advanced AI and simulations after you’ve built one. There are thousands of positives for society and a small number of equally substantial risks. Advanced AI lets people scale up every bad habit they have and allows companies to exploit every human weakness to sell products. Advanced simulations, given the ability to act (algorithmic trading, for example), destabilize marketplaces. Flash crashes will become more common and spread beyond stock markets. Wallstreet Bets and Meme Stocks are a case study of what happens when you combine simulations and behavioral targeting. Advancing AI responsibly slows product delivery, while advancing as fast as possible keeps startups ahead of their competition. Safety teams are eventually disbanded because the companies that survive choose speed, and the startups that fade from memory choose consequences. The good news is, it’s always up to us. We choose the products we use, which drives business decisions about what products to provide. We choose how the startups we found use technology and, as technical ICs, what technology we agree to build. #AI #Ethics #OpenAI
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Andrej Karpathy recently talked with Stephanie Zhan at Sequoia AI Ascent about making AI accessible. Here are the key moments from their dialog: 🔸 LLM OS Karpathy suggested the future involves creating customizable AI systems or "LLM OS" (Large Language Model Operating System) that integrate various data modalities and connect to existing software infrastructure. 🔸 AGI He reflects on the transition from viewing AGI as a distant academic goal to seeing it as an imminent reality, outlining the approach of building specialized, self-contained agents for diverse tasks. 🔸 Big tech rivalry Karpathy encourages the development of a healthy, vibrant startup ecosystem around AI, noting there's room for an array of applications beyond the default offerings of major players like OpenAI. 🔸 Open vs. closed models The discussion suggests a future ecosystem might include a mix of open and proprietary models, similar to the current landscape of operating systems. 🔸 Elon Musk's management style Karpathy shares insights into Elon Musk's unique management approach at Tesla, emphasizing small, highly technical teams, direct communication, and the rapid removal of obstacles to progress. 🔸 Future advancements in AI Karpathy suggests that significant improvements could come from better model training techniques, including reinforcement learning, and the development of more energy-efficient computing architectures. Watch the full video at https://lnkd.in/ePWf7UCw
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I always read something interesting as we curate for my knowledge base, Teckedin, like this news from VentureBeat and this solution created by Anna Monaco "Paradigm’s software uses AI agents — built atop proprietary and open-source gen AI models from third parties including OpenAI’s GPT-4o and Meta’s Llama family, according to Fortune — to scour the web for the information the user desires and automatically populate the spreadsheet cells accordingly." #automation #spreadsheet #genai #AI #startup
Paradigm launches to reinvent the spreadsheet with generative AI, filling in 500 cells per minute
https://venturebeat.com
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Safe Superintelligence Secures $1 Billion to Revolutionize AI with Safety, Strategy, and Scale In the competitive AI landscape, Safe Superintelligence (SSI), co-founded by Ilya Sutskever, is positioning itself as a key player with a mission to push AI beyond human capabilities, all while ensuring safety. With a $1 billion investment from top VC firms like Andreessen Horowitz, Sequoia Capital, DST Global, and SV Angel, SSI plans to scale its talent and computing power, focusing on R&D before hitting the market. This shift in focus highlights a growing trend in the AI sector: safety and long-term alignment over rapid deployment. While competitors like OpenAI, Anthropic, Google, and Meta race to lead in AI capabilities, SSI’s approach to scaling—rethinking how AI is built, not just expanding computing resources—could redefine the race. For companies competing in AI, the message is clear: spending on talent and R&D, alongside aligning with ethical frameworks, will shape the next wave of innovation. The industry is no longer about scaling for speed but scaling with strategy and vision. SSI’s thoughtful approach, alongside a trusted, cohesive team, could challenge the dominant players and reshape the AI landscape in a way that prioritizes both capability and safety. As the battle for AI supremacy intensifies, the question becomes not just who can build the fastest, but who can build the safest—and most transformative—systems. See article below for more details… #AI #SafeAI #Superintelligence #RethinkingAI #AIResearch #TechLeadership #FutureOfAI #ScalingAI #VentureCapital #AICompetition #OpenAI #SSI #Google #Meta #Anthropic #a16z #SequoiaCapital #DSTGlobal #SVAngel https://lnkd.in/gYNkUinj
OpenAI co-founder Ilya Sutskever’s ‘safe’ AI start-up raises $1bn
ft.com
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Safe Superintelligence Secures $1 Billion to Revolutionize AI with Safety, Strategy, and Scale In the competitive AI landscape, Safe Superintelligence (SSI), co-founded by Ilya Sutskever, is positioning itself as a key player with a mission to push AI beyond human capabilities, all while ensuring safety. With a $1 billion investment from top VC firms like Andreessen Horowitz, Sequoia Capital, DST Global, and SV Angel, SSI plans to scale its talent and computing power, focusing on R&D before hitting the market. This shift in focus highlights a growing trend in the AI sector: safety and long-term alignment over rapid deployment. While competitors like OpenAI, Anthropic, Google, and Meta race to lead in AI capabilities, SSI’s approach to scaling—rethinking how AI is built, not just expanding computing resources—could redefine the race. For companies competing in AI, the message is clear: spending on talent and R&D, alongside aligning with ethical frameworks, will shape the next wave of innovation. The industry is no longer about scaling for speed but scaling with strategy and vision. SSI’s thoughtful approach, alongside a trusted, cohesive team, could challenge the dominant players and reshape the AI landscape in a way that prioritizes both capability and safety. As the battle for AI supremacy intensifies, the question becomes not just who can build the fastest, but who can build the safest—and most transformative—systems. See article below for more details… #AI #SafeAI #Superintelligence #RethinkingAI #AIResearch #TechLeadership #FutureOfAI #ScalingAI #VentureCapital #AICompetition #OpenAI #SSI #Google #Meta #Anthropic #a16z #SequoiaCapital #DSTGlobal #SVAngel #ASI https://lnkd.in/gGRrxUQZ
OpenAI co-founder Ilya Sutskever’s ‘safe’ AI start-up raises $1bn
ft.com
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Not a new rocket 😄 🚀 Elon Musk's #xAI has released the base code of the #Grok AI model without training code. The model, a "314 billion parameter Mixture-of-Expert model," is now available on GitHub under the #Apache License 2.0 for commercial use. 🚀 Although Grok was initially released as a chatbot for Premium+ users of X social network, the open-source version does not integrate with the social network. This move by xAI has sparked discussions on AI openness and transparency, especially in light of Musk's legal dispute with OpenAI, highlighting the competitive nature of AI development. 🚀 The release of open-source AI models like Grok reflects a strategic move by companies such as xAI and OpenAI to influence the industry's trajectory and promote wider adoption. These actions underscore the intense competition in the AI field, with significant implications for innovation, ethics, and the future of technology. The ongoing legal battles and open-source initiatives signal the high stakes in the AI race, shaping the landscape of AI development and fostering advancements in artificial intelligence technologies. 🐾 Our Comment Well, the more fierce competition is the more tools we get. And that makes us happy. Our AI Lab is preparing to check #Grok. 🔔 Afraid of missing out on our news? Worry not! Place the emoji 😀 in a comment below, and we'll make sure to tag you once we publish anything new. 👑 Here are our VIP alert subscribers: Vitalii Bortnik, Martyn Redstone, Aliaksei Nastsin, Sergei Sherman, Shapath Das, Guy Sebbag, Eugene Gladovskiy,Illia Shestakov, Albert Nicola, Samuel Wang, Cohi Elchadef Manobela, Adi Beker, Junwoo Yun, Maryanne Collins, Kirill Shamanskiy, Vakhtang Matskeplishvili, Mike Waizman, Odem Alagem אודם 🎡 , Shahar Butz, Irma Shlosberg, Marianna Inozemtseva, Asya Polyak, Guy Galin, Alisa Yurchenko, David Omansky, Adrian Magearu.,Elad Cohen, Chen Offek, Phinees R., Sivan Lifschitz Katz, Evgenii Raisfeld, Kamil Sawko, Michal Lissak, Eze Vidra, Yash Baid #tech #innovation #mobilegamedevelopment
xAI open sources base model of Grok, but without any training code | TechCrunch
https://techcrunch.com
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🟩🟦Microsoft is developing a heavy-lifter - 500B in-house AI language model called MAI-1. The in-house model is under the supervision of Mustafa Suleyman, the former CEO of AI startup Inflection AI. The purpose of the model has not been determined yet, but Microsoft could preview it at the Build developer conference later this month. #Microsoft #MAI1 #LLM #GENAI
Microsoft readies new AI model to compete with Google, OpenAI, The Information reports
reuters.com
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The breaking news around #AI is fascinating and changing. With OpenAI's recent acquisition of Rockset, the AI creator will be able to access and analyze real-time data and specifically support OpenAI's data retrieval within its products. Also, don't forget that OpenAI has already announced the development of a search engine - putting Google, Bing and others on notice. What are your thoughts to the AI M&A's happening? For more info, read the article. https://lnkd.in/gPWEKD49
OpenAI Acquires Database Analytics Startup Rockset for an Undisclosed Amount
inc.com
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