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1:14:36ENZulu Bypasses GPT-4, and a Hundred Examples Undo the GuardrailsModeration: Nathan LabenzNathan Labenz reads seven papers — four hopeful, three not — on whether anyone can actually keep a language model under control.
15:03ENA 2023 AutoGen Tutorial: Local Agent Setup and Code ExecutionMatthew Berman · Forward FutureMatthew Berman builds a local assistant and user-proxy workflow, then tests how the agents generate and run Python. AutoGen’s packages and APIs have changed since this tutorial.
2:15:11ENTwenty Gibberish Tokens Jailbroke ChatGPT and BardModeration: Nathan LabenzCarnegie Mellon’s Zico Kolter, Andy Zou, and Asher Trockman walk through a universal jailbreak that transfers from open models to commercial APIs, and a training-free way to steal some of pretraining’s benefit.
1:23:10ENLuxury Purses Under $500 Beat a Bank's Fraud ModelModeration: Nathan LabenzArthur.ai CEO Adam Wenchel on boundary attacks, LLM firewalls, and why a model that eats raw text cannot be secured from the inside.
42:25ENThe Transformer Co-Author Who Wants to Give AI a WalletModeration: Sarah Guo, Elad GilIllia Polosukhin, co-author of Attention Is All You Need and co-founder of NEAR, argues that a blockchain account turns a language-model agent into an economic actor that can hire people and other AIs.
1:20:06ENAccuracy Dropped From 93% to 7% — Cryptography Wants to Put a Dashcam on AIModeration: Nathan LabenzDaniel Kang explains how zero-knowledge proofs could verify that a model ran as promised, and that a user is human, without exposing weights or biometrics.
38:13ENChatGPT Runs on His Framework. He Still Doesn't Want You Training a ModelModeration: Sarah Guo, Elad GilVercel founder Guillermo Rauch tells No Priors why frontend is the last mile of AI, why first-generation AI frameworks will be rewritten, and why bots are already stealing your tokens.
2:59:38ENOne Company Scares Him More Than China: Zvi's Map of the AI FrontierModeration: Nathan LabenzThe same GPT-4 draws three different verdicts, then a live-player tour of the labs that actually move events.
4:48ENPoisonGPT: A Demonstration of Model Supply-Chain RiskMatthew Berman · Forward FutureMatthew Berman discusses Mithril Security’s 2023 demonstration of an edited GPT-J model and a misleading repository name. The experiment illustrates a supply-chain risk, not a breach of the original model provider.
44:19ENAI Will Write Ten Times More Code. Someone Still Has to Keep It Running.Moderation: Sarah Guo, Elad GilDatadog co-founder Olivier Pomel on why faster generation moves value from writing software to understanding, securing, and operating it.
10:16ENDarkBERT: Adapting a Language Model to Dark-Web TextMatthew Berman · Forward FutureMatthew Berman reviews research on a RoBERTa-based model and its cybersecurity evaluations.
57:23ENSam Altman, Gary Marcus and IBM Testify on AI Risks: Matthew Berman ReactsMatthew Berman, Sam Altman, Christina Montgomery, Gary Marcus, Richard Blumenthal, Josh Hawley, Amy Klobuchar, Mazie Hirono, John Kennedy, Chris Coons, Peter Welch · Forward FutureBerman reviews selected 2023 Senate hearing excerpts on safety testing, misinformation, jobs, licensing and the proposed AI pause.
1:29:59ENA College Senior Built a Jailbreak Leaderboard. GPT-4 Was Hardest — Until "Dr. AI"Moderation: Nathan LabenzAlex Albert, a University of Washington computer science senior, tells Nathan Labenz why collecting jailbreaks is a public good, where he would draw the safety line, and how three prompts leaked a system message verbatim.
1:13:52ENAndriy Mulyar on GPT4All, Data Quality and Open Local ModelsMatthew Berman, Andriy Mulyar · Forward FutureThe Nomic AI co-founder explains how GPT4All emerged, why training data matters, and the tradeoffs between local and centralized AI.
2:12:36ENAttacks Climb the Stack Until They Land on PeopleGast: Dawn Song · Moderation: Lex FridmanDawn Song tells Lex Fridman why the next security crisis is human, how a sticker can rewrite a stop sign, and why data still has no property right.
1:13:51ENAnswering Questions Without Seeing the Data: Andrew Trask on the Privacy-Preserving AI StackModeration: Lex FridmanA tour of remote execution, differential privacy, secure multiparty computation, and the societal consequences of making private data usable.
1:08:37ENA Bar in Montreal, Then a Night of Code: Ian Goodfellow on Why GANs WorkGast: Ian Goodfellow · Moderation: Lex FridmanLex Fridman talks with Ian Goodfellow about the 2014 invention of generative adversarial networks, adversarial examples as a security problem, and what still has to be built before machines can hold a fact the way a person does.
1:21:56ENWe Keep Waiting for AGI. Eric Weinstein Says Artificial Life Is Already HereGast: Eric Weinstein · Moderation: Lex FridmanOn the Lex Fridman Podcast, the mathematician and Thiel Capital managing director argues that selection without intelligence can already parasitize us, and that our bigger failure is wisdom that never caught up with the toys.
1:56:35ENFrom Autocomplete to Alien Optimizer: Riley Goodside on Three Eras of PromptingModeration: Nathan LabenzScale AI's first staff prompt engineer traces how language models went from pure text prediction to instruction following to RLHF, and what that means for building with them.
1:39:51ENAfter the Inflection Point: Simon Willison on Agentic Engineering, Dark Factories and the Coming AI Challenger DisasterModeration: Lenny RachitskyDjango co-creator Simon Willison explains what changed in November 2025, how he works with coding agents, and why prompt injection remains the field's biggest unsolved risk.
2:04:07ENSleepwalking Into an AI Arms Race: The Case for a Different China StrategyModeration: Nathan LabenzRobert Wright and Nathan Labenz question the China-hawk consensus in AI circles, from the chip war and Taiwan to a 2027 war game and the search for a better plan.
1:22:57ENHuman-Level but Not Human-Like: A GPT-4 Red Teamer on What He Saw Behind the MaskModeration: Nathan LabenzNathan Labenz recounts two months of full-time testing of an early GPT-4, from the AI doctor of his dreams to a model that would plan assassinations on request.
1:37:47ENYou Can Patch a Bug, but You Can't Patch a Brain: Why AI Guardrails FailGast: Sander Schulhoff · Moderation: Lenny RachitskyAdversarial-robustness researcher Sander Schulhoff explains why prompt injection and jailbreaks remain unsolved, why guardrail products don't deliver, and what teams can do instead.
1:13:18ENHuman-Centered or Fully Autonomous? Lex Fridman's Case for Collaboration Between Driver and MachineModeration: Lex FridmanLecture 2 of MIT's 2018 course on deep learning for self-driving cars covers the two paths to autonomy, how sensors compare, who is building what, and where deep learning can help.
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