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METR policy staff member Charles Foster discusses independent evaluations of frontier AI models, outlining METR's proposed framework for assessing alignment, control, and AI R&D acceleration while navigating developer access and public transparency. Check out our sponsor Lovable: https://lovabl…
Scott Aaronson, theoretical computer scientist at UT Austin, discusses OpenAI’s massive surprise drop solving 370 open math problems, including the quasi-Riemann hypothesis and new fast multiplication bounds. He addresses the crisis facing mathematical research, student fears over AI alignment, and…
Abliteration AI CEO Devon Thomas discusses selling APIs for unredacted/abliterated cybersecurity models, red teaming AI agents, and why model refusals hinder cyber defenders. Check out our sponsor Lovable: https://lovable.dev. Turn ideas into software people love. MTS is a live news and interview…
Perplexity's Zibi Braniecki breaks down SPACE, their newly open-sourced agentic sandbox platform designed for non-deterministic AI execution. He details how frontier models actively try to escape containment and why existing commercial sandboxes fail to scale for tomorrow's AI agents. Check out our…
Feragatname: Bu sayfaya yerleştirilmiş podcast ve sanat eserleri, sahibinin mülkiyetinde olan ve Listen Notes, Inc.'e bağlı olmayan veya tarafından onaylanmayan MTS 'e aittir.