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Videos (403)
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Compression at the Edge — Chris Alexiuk, NVIDIA
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46:00
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Verifiable Environments for AI in Biology — Kenny Workman, LatchBio
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17:42
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The Base Model Is Dead — Varun Singh, Arcee AI
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17:44
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Gadgets: Personal app vibe coding that is actually safe — Kenton Varda, Cloudflare
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18:53
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Emulated: The Data for Fully Autonomous Software Engineers and Companies — Joseph Wang
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16:32
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Scaling to Long Horizons — Ross Taylor & Chengxi Taylor, General Reasoning
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18:07
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Building Turbopuffer: Gergely Orosz (@pragmaticengineer ) × Simon Eskildsen (CEO)
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56:29
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Data and Environment Curation for Post-Training LLMs — Mahesh Sathiamoorthy, Bespoke Labs
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19:11
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MCP Tasks (async): Why Aren't Any Agents Supporting Them? — Cornelia Davis, Temporal
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23:54
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MCP Apps: Extending the Frontier — Ido Salomon & Liad Yosef
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18:38
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Learning on the Job: The Future of Post-Training — Raymond Feng, Applied Compute
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18:20
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Data Quality Is the Compute Multiplier — Ari Morcos, DatologyAI
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19:05
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When Will The Benchmaxxing Plague End? — Nick Heiner, Surge AI
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17:24
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What's Next After RLHF? — Diogo Almeida, TypeSafe AI
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18:04
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Rethinking Environments for Long-Horizon Work — Rayan Garg, Theta Software
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21:14
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Teaching AI to Find Real Vulnerabilities — David Brumley, Bugcrowd
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27:17
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Agents at Scale: Inside MiniMax's Model and the Infrastructure Behind It — Olive Song
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20:14
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Reinforcement Learning without Verifiable Rewards — Will Brown, Prime Intellect
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19:26
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Benchmarks: The Good, the Bad, and the Ugly — Ali Khial, G2i
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12:48
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Build for the Memo, Not the Demo — Shawn Chan, China Resources Holdings
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24:22
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