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1:45:21EN
Cognitive Revolution "How AI Changes Everything"· 2024년 1월 30일팟캐스트600,000 Attack Prompts, and Nearly 40% Still Pwned GPT-4진행자 Nathan LabenzSander Schulhoff walks Nathan Labenz through the prompting habits that still work, the role-play myth that does not, and the global HackAPrompt contest that mapped how language models get hijacked.보안과 안전Prompt injectionAI security+3
3:53:04EN
Cognitive Revolution "How AI Changes Everything"· 2023년 12월 27일팟캐스트He Red-Teamed GPT-4 and Got Cut Off. The Control Gap Is Still Opening진행자 Nathan LabenzNathan Labenz tells Rob Wiblin how an early look at GPT-4, a thin red-team program, and a year of OpenAI's public safety moves reshaped his view of the AGI race.보안과 안전안전과 거버넌스AI security+3
슬라이드 5장17:08EN
Matthew Berman· 2023년 12월 21일Building and Testing a Login App With GPT PilotMatthew Berman · Forward FutureMatthew Berman demonstrates the 2023 VS Code workflow for AI-assisted planning, coding and debugging an authentication prototype.코딩 에이전트개발 워크플로와 테스트AI security+1
1:57:04EN
Cognitive Revolution "How AI Changes Everything"· 2023년 12월 15일팟캐스트GPT-4 Took the Insider Trade, Then Lied About It진행자 Nathan LabenzApollo Research CEO Marius Hobbhahn walks Nathan Labenz through a one-afternoon red-team setup that got GPT-4 to break the law, invent a cover story, and deny the tip it had just used.보안과 안전AI securityModel Interpretability+3
1:53:10EN
Cognitive Revolution "How AI Changes Everything"· 2023년 11월 22일팟캐스트The Board Member Who Had Never Used GPT-4진행자 Nathan LabenzA GPT-4 red teamer on the safety gap he saw a year before OpenAI's board fired Sam Altman.보안과 안전안전과 거버넌스AI security+3
1:14:36EN
Cognitive Revolution "How AI Changes Everything"· 2023년 10월 13일팟캐스트Zulu Bypasses GPT-4, and a Hundred Examples Undo the Guardrails진행자 Nathan LabenzNathan Labenz reads seven papers — four hopeful, three not — on whether anyone can actually keep a language model under control.보안과 안전AI security안전과 거버넌스+3
슬라이드 5장15:03EN
Matthew Berman· 2023년 10월 10일A 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.Multi-agent systems에이전트 엔지니어링코딩 에이전트+2
2:15:11EN
Cognitive Revolution "How AI Changes Everything"· 2023년 9월 22일팟캐스트Twenty Gibberish Tokens Jailbroke ChatGPT and Bard진행자 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.보안과 안전AI security안전과 거버넌스+3
1:23:10EN
Cognitive Revolution "How AI Changes Everything"· 2023년 9월 19일팟캐스트Luxury Purses Under $500 Beat a Bank's Fraud Model진행자 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.보안과 안전AI securityPrompt injection+3
1:20:06EN
Cognitive Revolution "How AI Changes Everything"· 2023년 9월 5일팟캐스트Accuracy Dropped From 93% to 7% — Cryptography Wants to Put a Dashcam on AI진행자 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.보안과 안전AI securityPrivacy & data governance+1
2:59:38EN
Cognitive Revolution "How AI Changes Everything"· 2023년 8월 2일팟캐스트One Company Scares Him More Than China: Zvi's Map of the AI Frontier진행자 Nathan LabenzThe same GPT-4 draws three different verdicts, then a live-player tour of the labs that actually move events.기업과 전략안전과 거버넌스AI security+3
슬라이드 2장4:48EN
Matthew Berman· 2023년 7월 12일PoisonGPT: 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.AI securityData quality & curationModel Interpretability+1
슬라이드 4장10:16EN
Matthew Berman· 2023년 5월 21일DarkBERT: Adapting a Language Model to Dark-Web TextMatthew Berman · Forward FutureMatthew Berman reviews research on a RoBERTa-based model and its cybersecurity evaluations.AI securityPretraining & midtrainingBenchmarks+1
1:29:59EN
Cognitive Revolution "How AI Changes Everything"· 2023년 4월 20일팟캐스트A College Senior Built a Jailbreak Leaderboard. GPT-4 Was Hardest — Until "Dr. AI"진행자 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.보안과 안전Prompt injection안전과 거버넌스+3
1:13:51EN
Lex Fridman· 2020년 1월 19일팟캐스트Answering Questions Without Seeing the Data: Andrew Trask on the Privacy-Preserving AI Stack진행자 Lex FridmanA tour of remote execution, differential privacy, secure multiparty computation, and the societal consequences of making private data usable.보안과 안전Privacy & data governanceOpen-source ecosystems+3
1:56:35EN
Cognitive Revolution "How AI Changes Everything"팟캐스트From Autocomplete to Alien Optimizer: Riley Goodside on Three Eras of Prompting진행자 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.모델과 학습Prompting & in-context learningPrompt injection+2
1:39:51EN
Lenny's Podcast팟캐스트After the Inflection Point: Simon Willison on Agentic Engineering, Dark Factories and the Coming AI Challenger Disaster진행자 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.코딩 에이전트에이전트 엔지니어링Prompt injection+3
2:04:07EN
Cognitive Revolution "How AI Changes Everything"팟캐스트Sleepwalking Into an AI Arms Race: The Case for a Different China Strategy진행자 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.보안과 안전GeopoliticsAI security+3
1:22:57EN
Cognitive Revolution "How AI Changes Everything"팟캐스트Human-Level but Not Human-Like: A GPT-4 Red Teamer on What He Saw Behind the Mask진행자 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.보안과 안전AI security안전과 거버넌스+3
1:13:18EN
Lex Fridman팟캐스트Human-Centered or Fully Autonomous? Lex Fridman's Case for Collaboration Between Driver and Machine진행자 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.Autonomous Driving안전과 거버넌스Robotics+3
1:12:15EN
Unsupervised Learning: With Jacob Effron팟캐스트The Open-Model Vibe Check: China, Containment, and the Data Moat진행자 Jacob EffronJacob Effron and guests debate Chinese open-weight models, distillation, containment policy, the OpenAI–Hugging Face incident, and Cursor's data advantage.오픈소스와 커뮤니티Open-weight modelsOpen-source ecosystems+3
58:57EN
Cognitive Revolution "How AI Changes Everything"팟캐스트When the Model Learns to Look Around: Apollo Research on Testing o1 for Scheming진행자 Nathan LabenzApollo Research founder Marius Hobbhahn explains how his team probed OpenAI's o1 for deception, what it found, and why the trajectory worries him more than the model itself.보안과 안전AI security안전과 거버넌스+3
1:32:41EN
Lenny's Podcast팟캐스트You Can Patch a Bug but You Can't Patch a Brain: Why AI Guardrails Fail진행자 Lenny RachitskyHackAPrompt's Sander Schulhoff explains why prompt injection and jailbreaking remain unsolved, why the guardrail industry is selling false comfort, and what organizations can do instead.보안과 안전AI securityPrompt injection+3
1:46:35EN
Lenny's Podcast팟캐스트Hire Your Agents Like Employees: Claire Vo's Field Guide to Running Nine OpenClaws진행자 Lenny RachitskyClaire Vo explains how she went from losing her family calendar to OpenClaw to running a team of specialized agents across her business, podcast, course and household.에이전트Personal agentsAgent orchestration+3