• No Priors: Artificial Intelligence | Technology | Startups

  • Auteur(s): Conviction
  • Podcast

No Priors: Artificial Intelligence | Technology | Startups

Auteur(s): Conviction
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  • Résumé

  • At this moment of inflection in technology, co-hosts Elad Gil and Sarah Guo talk to the world's leading AI engineers, researchers and founders about the biggest questions: How far away is AGI? What markets are at risk for disruption? How will commerce, culture, and society change? What’s happening in state-of-the-art in research? “No Priors” is your guide to the AI revolution. Email feedback to show@no-priors.com. Sarah Guo is a startup investor and the founder of Conviction, an investment firm purpose-built to serve intelligent software, or "Software 3.0" companies. She spent nearly a decade incubating and investing at venture firm Greylock Partners. Elad Gil is a serial entrepreneur and a startup investor. He was co-founder of Color Health, Mixer Labs (which was acquired by Twitter). He has invested in over 40 companies now worth $1B or more each, and is also author of the High Growth Handbook.
    © Copyright 2023 Conviction. All Rights Reserved.
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Gestion et leadership Science Économie
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Épisodes
  • Model Plateaus and Enterprise AI Adoption with Cohere's Aidan Gomez

    Model Plateaus and Enterprise AI Adoption with Cohere's Aidan Gomez
    Nov 21 2024
    In this episode of No Priors, Sarah is joined by Aidan Gomez, cofounder and CEO of Cohere. Aidan reflects on his journey to co-authoring the groundbreaking 2017 paper, “Attention is All You Need,” during his internship, and shares his motivations for building Cohere, which delivers AI-powered language models and solutions for businesses. The discussion explores the current state of enterprise AI adoption and Aidan’s advice for companies navigating the build vs. buy decision for AI tools. They also examine the drivers behind the flattening of model improvements and discuss where large language models (LLMs) fall short for predictive tasks. The conversation explores what the market has yet to account for in the rapidly evolving AI ecosystem, as well as Aidan’s personal perspectives on AGI—what it might look like and when it could arrive. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @AidanGomez Show Notes: 0:00 Introduction 0:36 Co-authoring “Attention is all you need” 2:27 Leaving Google and founding Cohere 4:04 Cohere’s mission and models 6:15 Pitfalls of current AI 8:14 How enterprises are deploying AI today 10:58 Build vs. buy strategy for AI tools 14:37 Barriers to enterprise adoption 20:04 Which types of companies should pretrain models? 24:25 Addressing flaws in open-source models 25:12 Current and expected progress in scaling laws 29:54 Advances in multi-step problem solving and reasoning 32:29 Key drivers behind the flattening curve of model improvements 36:25 Exploring AGI 39:59 Limitations of LLMs 42:10 What the market has mispriced
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    44 min
  • AI and the Future of Math, with DeepMind’s AlphaProof Team

    AI and the Future of Math, with DeepMind’s AlphaProof Team
    Nov 14 2024
    In this week’s episode of No Priors, Sarah and Elad sit down with the Google DeepMind team behind AlphaProof, Laurent Sartran, Rishi Mehta, and Thomas Hubert. AlphaProof is a new reinforcement learning-based system for formal math reasoning that recently reached a silver-medal standard in solving International Mathematical Olympiad problems. They dive deep into AI and its role in solving complex mathematical problems, featuring insights into AlphaProof and its capabilities. They cover its functionality, unique strengths in reasoning, and the challenges it faces as it scales. The conversation also explores the motivations behind AI in math, practical applications, and how verifiability and human input come into play within a reinforcement learning approach. The DeepMind team shares advice and future perspectives on where math and AI are headed. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @Rishicomplex | @LaurentSartran | @ThomasHubert Show Notes: 0:00 Personal introductions 2:19 Achieving silver medal in IMO competition 3:52 How AlphaProof works 5:56 AlphaProof’s strengths within mathematical reasoning 8:56 Challenges in scaling AlphaProof 13:40 Why solve math? 17:50 Pursuing knowledge versus practical applications 21:30 Insights on verifying correctness within reinforcement learning 28:27 How AI could foster more collaboration among mathematicians 30:28 Surprising insights from AI proof generation 34:17 Future of math and AI: advice for math enthusiasts and researchers
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    39 min
  • NVIDIA's Jensen Huang on AI Chip Design, Scaling Data Centers, and his 10-Year Bets

    NVIDIA's Jensen Huang on AI Chip Design, Scaling Data Centers, and his 10-Year Bets
    Nov 7 2024
    In this week’s episode of No Priors, Sarah and Elad sit down with Jensen Huang, CEO of NVIDIA, for the second time to reflect on the company’s extraordinary growth over the past year. Jensen discusses AI’s takeover of datacenters and NVIDIA’s rapid development of x.AI’s supercluster. The conversation also covers Nvidia’s decade-long infrastructure bets, software longevity, and innovations like NVLink. Jensen shares his views on the future of embodied AI, digital employees, and how AI is transforming scientific discovery. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @Nvidia Show Notes: 00:00 Introduction 1:22 NVIDIA's 10-year bets 2:28 Outpacing Moore’s Law 3:42 Data centers and NVLink 7:16 Infrastructure flexibility for large-scale training and inference 10:40 Building and optimizing data centers 13:30 Maintaining software and architecture compatibility 15:00 X.AI’s supercluster 18:55 Challenges of super scaling data centers 20:39 AI’s role in chip design 22:23 NVIDIA's market cap surge and company evolution 27:03 Embodied AI 28:33 AI employees 31:25 Impact of AI on science and engineering 35:40 Jensen’s personal use of AI tools
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    37 min

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