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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
1:25:50EN
Cognitive Revolution "How AI Changes Everything"· 2023년 4월 18일팟캐스트Prompt Engineering Became Programming, and Riley Goodside Is Fine With That진행자 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.기업과 전략Prompting & in-context learningStructured outputs+3
2:23:56EN
Lex Fridman· 2023년 3월 25일팟캐스트 · 2명GPT-4 is a very early AI. ChatGPT is the line in the history books게스트 Sam Altman · 진행자 Lex FridmanSix days after GPT-4 shipped, Sam Altman tells Lex Fridman why usability beat raw scale, why alignment and capability are not opposite vectors, and why OpenAI is trying to deploy while the stakes are still low.기업과 전략Post-training안전과 거버넌스+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
1:08:07EN
Lenny's Podcast팟캐스트 · 2명Context Is All You Need: Inside OpenAI with Logan Kilpatrick게스트 Logan Kilpatrick · 진행자 Lenny RachitskyOpenAI's head of developer relations on GPTs, prompting, how the company ships fast, and where startups can build without being steamrolled.기업과 전략Prompting & in-context learningAI startups & small teams+3
1:42:30EN
Lenny's Podcast팟캐스트The Genie Has Three Wishes: How a Non-Coder Became Lovable's Professional Vibe Coder진행자 Lenny RachitskyLazar Jovanovic explains the planning files, parallel prototypes and debugging routine he uses to ship production software with AI, and why judgment and taste now matter more than code.코딩 에이전트Vibe CodingDeveloper productivity+3