絞り込み結果
13 件並び順
2:33:35EN
Cognitive Revolution "How AI Changes Everything"· 2026年6月1日ポッドキャストA security researcher audits the AI stack that booked a week of guestsホスト Nathan LabenzNathan Labenz walks Daniel Miessler through a 1GB second brain, two named AI employees, and the blast-radius rules that should govern them.
1:43:54ENCognitive Revolution "How AI Changes Everything"· 2024年3月27日ポッドキャストFifteen Examples Can Poison GPT-4: Today's AI Systems Are Exploitable by Defaultホスト Nathan LabenzFAR AI founder Adam Gleave walks through cheap jailbreaks in GPT-4's APIs and amateur-level wins against superhuman Go engines, and why robustness is not arriving on its own.
1:45:21ENCognitive Revolution "How AI Changes Everything"· 2024年1月30日ポッドキャスト600,000 Attack Prompts, and Nearly 40% Still Pwned GPT-4ホスト 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.
1:43:07ENCognitive Revolution "How AI Changes Everything"· 2024年1月20日ポッドキャストAn Agent Posted Five Tweets — and 5,000 People Didn't Noticeホスト Nathan LabenzMultiOn founder Div Garg walks Cognitive Revolution through what web agents can actually do in early 2024, what they cost, and why guardrails have to sit outside the model.
2:15:11ENCognitive Revolution "How AI Changes Everything"· 2023年9月22日ポッドキャストTwenty Gibberish Tokens Jailbroke ChatGPT and Bardホスト 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.
1:23:10ENCognitive Revolution "How AI Changes Everything"· 2023年9月19日ポッドキャストLuxury Purses Under $500 Beat a Bank's Fraud Modelホスト 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.
39:02ENCognitive Revolution "How AI Changes Everything"· 2023年8月10日ポッドキャストAI’s product advantage is consistency. Its real weakness is getting conned.ホスト Nathan LabenzNathan Labenz updates the Cognitive Revolution scouting report: jailbreaks, resume automation, Med-PaLM’s 40% radiology win, and what might follow Transformers.
59:41ENCognitive Revolution "How AI Changes Everything"· 2023年7月13日ポッドキャストHumans Are Single-Threaded. MULTI·ON Wants 100 Agents Running Anywayホスト Nathan LabenzStanford PhD dropout Div Garg put a personal agent in Chrome so it can reuse your logins, ask for help when it stalls, and stop before it hits Buy.
1:33:51ENCognitive Revolution "How AI Changes Everything"· 2023年5月23日ポッドキャストGPT-4 still writes SQL that will not run. She put a guardrail on the modelホスト Nathan LabenzShreya Rajpal built Guardrails AI so developers can encode what “correct” means, validate the pieces, and send failures back to the model instead of hoping the prompt holds.
58:26ENCognitive Revolution "How AI Changes Everything"· 2023年4月25日ポッドキャストSeventy Percent of the Inbox Is a Pitch: Matt Welsh on the First Wave of AI Agentsホスト Nathan LabenzThe Fixie.ai founder maps copilot versus delegation, the missing appendages into our systems, and why agents will need guardrails, memory hygiene, and probably an earpiece.
1:29:59ENCognitive Revolution "How AI Changes Everything"· 2023年4月20日ポッドキャストA College Senior Built a Jailbreak Leaderboard. GPT-4 Was Hardest — Until "Dr. AI"ホスト 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.
1:25:50ENCognitive Revolution "How AI Changes Everything"· 2023年4月18日ポッドキャストPrompt Engineering Became Programming, and Riley Goodside Is Fine With Thatホスト Nathan LabenzScale AI’s first staff prompt engineer on tool use, fine-tuning without amnesia, generate-then-rank, and why the 2023 job-of-the-future story never arrived.
1:56:35ENCognitive Revolution "How AI Changes Everything"ポッドキャストFrom Autocomplete to Alien Optimizer: Riley Goodside on Three Eras of Promptingホスト 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.