Unsupervised Learning with Jacob Effron

by Redpoint Ventures
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58 snips
Mar 11, 2026 • 54min

Ep 82: Behind Legora's $550M Raise, Model Competition, Doubling Revenue Every Quarter, & US Expansion

Max Jungestål, CEO of Legora and builder of an AI-native legal software company, shares how a $550M raise fueled rapid US expansion and relentless product reinvention. He talks about rebuilding features after model shifts, competitive AI driving law firm adoption, and deliberate cultural moves like Stockholm onboarding to scale fast.
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305 snips
Jan 29, 2026 • 1h 3min

Ep 81: Ex-OpenAI Researcher On Why He Left, His Honest AGI Timeline, & The Limits of Scaling RL

Jerry Tworek, former VP of Research at OpenAI and architect of reasoning models and Codex, shares why scaling hits limits and why continual learning matters for true AGI. He discusses the constraints of pre-training and RL, the economics pushing labs toward similar strategies, his reasons for leaving OpenAI, and a near-term robotics outlook with big societal stakes.
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414 snips
Dec 18, 2025 • 1h 18min

AI Vibe Check: The Actual Bottleneck In Research, SSI’s Mystique, & Spicy 2026 Predictions

Ari Morcos, a research scientist focused on model interpretability, and Rob Toews, a tech investor, dive into the AI landscape post-NeurIPS. They discuss whether AI models are plateauing, the constraints of infinite lab capital on innovation, and the paradox of U.S. chip restrictions potentially speeding up China's self-sufficiency. Ari reveals the real bottleneck in AI is compute power, not ideas, while Rob predicts major shifts for OpenAI's leadership by 2026, and both foresee a Chinese open-source model taking center stage.
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174 snips
Dec 15, 2025 • 48min

Ep 80: CEO of Surge AI Edwin Chen on Why Frontier Labs Are Diverging, RL Environments & Developing Model Taste

Edwin Chen, Founder and CEO of Surge AI, shares insights from his data infrastructure company supporting major AI labs like OpenAI and Meta. He discusses the pitfalls of optimizing for clickbait benchmarks, revealing how these practices mislead model quality. Chen emphasizes the importance of rigorous human evaluations over gaming benchmarks, and he critiques Silicon Valley's pivot culture. The conversation delves into the diversity of AI training approaches, advocating for multiple opinionated models tailored to specific needs in future AI development.
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213 snips
Dec 10, 2025 • 56min

Ep 79: OpenAI's Head of Product on How the Best Teams Build, Ship and Scale AI Products

Join Olivier Godement, OpenAI's Head of Product for Business Products, as he dives into the future of AI in enterprise settings. Discover how GPT-5.1 and Codex are transforming industries like life sciences, enabling companies to cut drug development timelines significantly. Olivier shares insights on the challenges of job automation, the importance of cost reduction in AI adoption, and the critical role of reinforcement fine-tuning. He also discusses the potential of AI in coding and suggests that seamless integration could revolutionize how engineers work.
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62 snips
Dec 5, 2025 • 1h 13min

Ep 78: Jordan Schneider, Host of China Talk, on AI Race, Key Policy Decisions & Unpacking Geopolitical Chip Tension

Jordan Schneider, host of China Talk and an expert on Chinese tech and AI, explores the market-driven dynamics of China's AI landscape, revealing how private capital shapes its growth. He discusses the impact of US export controls on China's computing capabilities and challenges the notion of government control over AI development. With a focus on robotics manufacturing, he highlights China's emerging advantages. Jordan also critiques the Goldilocks strategy, addresses US policies, and assesses Taiwan's geopolitical risks.
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305 snips
Dec 2, 2025 • 42min

Ep 77: Anthropic’s Dianne Na Penn on Opus 4.5, Rethinking Model Scaffolding & Safety as a Competitive Advantage

Dianne Na Penn, a senior product leader at Anthropic, dives into the intriguing launch of Opus 4.5, highlighting its capabilities and strategic focus. She discusses the shift from traditional AI benchmarks to more open-ended evaluations. Dianne shares how Anthropic balances user feedback with ambitious development plans, enhancing enterprise applications. She emphasizes the importance of model alignment and authenticity in fostering independent thinking. The conversation also touches on the evolution of AI scaffolding and the potential for transformative long-running intelligence in the near future.
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74 snips
Nov 3, 2025 • 1h 3min

Ep 76: Sora Creators Bill Peebles, Rohan Sahai & Thomas Dimson on Their Unexpected Viral Success

Join Bill Peebles, research lead at OpenAI, Rohan Sahai, product lead, and Thomas Dimson, engineering lead with an Instagram background, as they dive into the viral success of the Sora app. They discuss the innovative cameo feature that lets users embed themselves in AI-generated videos. The team shares insights on building a creator-first social network, tackling content moderation challenges, and their ambitious vision for video models as scientific tools by 2028. Expect surprising user creativity and strategies that prioritize human engagement over mere consumption.
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165 snips
Oct 24, 2025 • 1h 17min

AI Round Up: Ari Morcos from Datalogy AI and Rob Toews from Radical VC on Karpathy Reactions, OpenAI’s Dealmaking, & Bubble Reality Check

Ari Morcos, Head of Research at Datalogy AI and a neuroscientist turned AI researcher, joins Rob Toews of Radical VC, an AI investor, to discuss AI's current state and future. They dissect Andrej Karpathy's claim that AGI is over a decade away, debating the sustainability of AI investments amid fears of an industry bubble. Topics include the impact of data quality versus sheer computational power, the ethical implications of deepfakes, and the potential of brain-computer interfaces. The duo also highlight the ongoing relevance of traditional industries like healthcare and coding.
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78 snips
Sep 24, 2025 • 1h 3min

AI Round Up: Ari Morcos from Datalogy AI and Rob Toews from Radical VC on AI Talent Wars, xAI’s $200B Valuation, & Google’s Comeback

In this discussion, Ari Marcos, CEO of Datalogy AI and former DeepMind researcher, teams up with Rob Toews, a partner at Radical Ventures. They explore whether AI model progress is truly slowing or merely shifting focus, and debate the economics of reinforcement learning environments. The duo also analyzes Google's rejuvenation with its Gemini project, the turbulent job market for AI talent, and the inflated valuations surrounding major players like OpenAI and Anthropic. Finally, they ponder the future of AI's integration with robotics and brain-computer interfaces.

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