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Carnegie Mellon professor and ClickHouse VP of Database Research Andy Pavlo breaks down why AI agents demand an entirely new database layer. He covers how nonstop query volumes and vibe coding break legacy systems, ClickHouse’s expansion into managed Postgres with the Xata acquisition, and his pred…
METR Chief of Staff Parv Mahajan breaks down their new report assessing AI R&D acceleration inside Anthropic. He discusses finding a sustained 2x acceleration since late 2025, why public models hide this kink, the absence of near-term training compute bottlenecks, and why Anthropic likely cross…
Google DeepMind Director of AGI Economics Alex Imas breaks down why hockey-stick AI model capabilities will not trigger explosive double-digit GDP growth. He explains how competitive markets drive automated output prices down, why firms operate as mosaic superintelligence, and how minimal AGI shift…
Raindrop co-founder and CTO Ben Hylak explains why smarter models make AI agent failures more catastrophic, from healthcare liabilities to high-stakes alignment breakdowns. He breaks down how recursive self-improvement requires simulating past production traces to safely test model switches and pre…
Calif founder and offensive security researcher Thai Duong discusses how frontier AI models are shrinking exploit development timelines from months to weeks, why AI labs and neo clouds represent the most vulnerable infrastructure, and the breakdown of traditional cyber defense against concurrent ag…
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