Episode publish date
October 4, 2025 6:55 AM (UTC)
Last edit date
Oct 7, 2025 2:03 PM
Last snip date
October 4, 2025 6:44 PM (GMT+1)
Last sync date
October 7, 2025 3:03 PM (GMT+1)
Show
Machine Learning Street Talk (MLST)
Snips
12
Warning
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Your snips
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[00:00] Big Models Break In New Ways
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[00:34] Agents Are A Worst-Case Adversary
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[02:28] Use Trusted Models For Small Verified Computation
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[16:09] Enforce Policies By Design With Symbolic Variables
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[19:20] Human-Centric Security Assumptions Break
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[22:51] Agent Sent Unexpected Emails
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[27:24] Thinking Traces Aren't Security Proof
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[30:48] Sandbox Remote Models And Tooling
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[37:20] Model Structure Can Hide Backdoors
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[52:03] Recursive Training Shrinks Diversity
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[53:17] Preserve Diversity And Monitor Drift
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