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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…
Suddu Seshadri, Head of AI at Plaid, joins MTS to discuss how Plaid is building purpose-built transformer-based foundation models on its financial transaction network to catch fraud, predict credit repayment risk, and power personal AI financial agents. Check out our sponsor Lovable: https://lovabl…
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…
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…
Ansvarsfriskrivning: Podcasten och konstverket som är inbäddat på den här sidan är från MTS , som är dess ägares egendom och inte anslutet till eller godkänt av Listen Notes, Inc.