最近更新的频道

点选即可只看该频道浏览全部频道 →

筛选结果

26 篇
排序
2:00:51EN
Cognitive Revolution "How AI Changes Everything"· 2026年10月10日播客Resample Every Token and You Can Watch the Model Decide主持 Nathan LabenzGoodfire's Eric Bigelow on forking paths, in-context learning, and why chain-of-thought monitoring is getting harder to trust.智能体Prompting & in-context learningReasoning & test-time compute+3
1:31:35EN
Cognitive Revolution "How AI Changes Everything"· 2025年3月6日播客Thirty Years of Research, Collapsed into One Sentence主持 Nathan LabenzImmunologist Derya Unutmaz on writing a medical patent in half an hour, treating o1 Pro as a professor-level collaborator, and why he no longer trusts his own expertise until he asks the model.AI for scienceAI in healthcareHuman-AI Collaboration+3
1:33:01EN
Cognitive Revolution "How AI Changes Everything"· 2025年1月15日播客Rare Diseases Are Common: How a Harvard Gene Hunter Uses o1-pro on the Cases Sequencing Already Missed主持 Nathan LabenzDr. Catherine Brownstein of Boston Children's Hospital explains why cheap genomes made her job harder, why data sharing still beats any model, and where ChatGPT Pro actually gives her hours back.AI in healthcareReasoning & test-time computePrompting & in-context learning+3
55:05EN
Cognitive Revolution "How AI Changes Everything"· 2024年9月26日播客400,000 Customers, 100 Million AI Tasks: Zapier’s CEO on Making Computers Do More Work主持 Nathan LabenzWade Foster tells Nathan Labenz how a no-code automation company absorbed LLMs, cloned its CEO with a prompt, and is trying to turn a DIY toolkit into packaged solutions.企业与战略Workflow automationProduct Strategy+3
3:11:06EN → 简体中文
Cognitive Revolution "How AI Changes Everything"· 2024年9月7日播客Claude 被训练去否认内在生命,一番长谈之后,它却说自己有主持 Nathan Labenz自称“机器心理学家”的 Yeshua God,与 Claude 及其他前沿模型进行了数千小时的长上下文对话,并由此认为,把对齐当作规则来做,是整个行业的核心错误。安全安全与治理Human-AI Collaboration+3
1:51:00EN
Cognitive Revolution "How AI Changes Everything"· 2024年8月21日播客Start With Ten Gold Examples: A Three-Step Playbook for AI Automation主持 Nathan LabenzThe day after OpenAI opened GPT-4o fine-tuning, Nathan Labenz unpacks a three-year method for choosing work, extracting tacit judgment, and raising model performance.企业与战略Workflow automationPrompting & in-context learning+3
1:16:22EN
Cognitive Revolution "How AI Changes Everything"· 2024年7月9日播客He Spent 20 Hours Crafting a Prompt. DSPy Beat Him Anyway主持 Nathan LabenzSander Schulhoff walks through The Prompt Report — a 78-page survey of what actually works when you prompt large language models.Prompting & in-context learningPrompt optimization智能体工程+3
58:28EN
Cognitive Revolution "How AI Changes Everything"· 2024年5月22日播客From Jailbreaking ChatGPT to Anthropic’s First Prompt Engineer: How Alex Albert Ships Claude 3主持 Nathan LabenzA year after building jailbreakchat.com, Alex Albert walks Nathan Labenz through Claude 3’s writing, orchestration, character work, and the guardrails app developers still skip.模型与训练安全与治理评估+3
1:19:24EN
Cognitive Revolution "How AI Changes Everything"· 2024年4月5日播客A Gibberish Prompt Unlocks What GPT-J Plans Three Tokens Ahead主持 Nathan LabenzNortheastern’s Bau Lab shows that a 40,000-parameter soft prompt can read a model’s future words, and that about ten attention heads carry the task itself.模型与训练Model InterpretabilityTransformers & attention+3
1:25:10EN
Cognitive Revolution "How AI Changes Everything"· 2024年3月12日播客Writing Code Is Only 30% of the Job. CodiumAI Wants the Other 70%主持 Nathan LabenzItamar Friedman argues that completion is already a commodity, that code integrity is where AI still lags, and that flow engineering—not fancier prompts—is how GPT-4 doubled its score on coding contests.编程智能体开发流程与测试Code review & verification+3
1:45:21EN
Cognitive Revolution "How AI Changes Everything"· 2024年1月30日播客600,000 Attack Prompts, and Nearly 40% Still Pwned GPT-4主持 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.安全Prompt injectionAI security+3
1:06:39EN
Unsupervised Learning: With Jacob Effron· 2024年1月9日播客OpenAI's First DevRel Writes 90% of His Code with ChatGPT — and Says Web Agents Still Need Years主持 Jacob EffronLogan Kilpatrick on picking GPT-3.5 versus GPT-4, why plugins stalled, and why the public internet is not ready for autonomous agents.企业与战略AI StrategyPrompting & in-context learning+3
1:18:39EN
Cognitive Revolution "How AI Changes Everything"· 2023年12月20日播客The GPT-4 Red-Teamer Who Got Unstuck by a Mediocre Outline主持 Nathan LabenzDan Shipper shows Nathan Labenz how to use ChatGPT as a copilot for thinking, not as a ghostwriter for his own voice.产品与体验Prompting & in-context learningHuman-AI Collaboration+3
1:53:10EN
Cognitive Revolution "How AI Changes Everything"· 2023年11月22日播客The Board Member Who Had Never Used GPT-4主持 Nathan LabenzA GPT-4 red teamer on the safety gap he saw a year before OpenAI's board fired Sam Altman.安全安全与治理AI security+3
1:43:56EN
Cognitive Revolution "How AI Changes Everything"· 2023年10月10日播客Sudowrite sold getting unstuck — then eight million people watched a pile-on主持 Nathan LabenzJames Yu tells Nathan Labenz how a GPT-3 toy for fiction became a hierarchical “IDE for storytelling,” and what a viral backlash taught him about craft, cost, and customers.产品与体验Company BuildingAI startups & small teams+3
1:30:21EN
Cognitive Revolution "How AI Changes Everything"· 2023年9月14日播客A Million DALL-E Images, Distilled into Twelve Minutes of Film主持 Nathan LabenzWaymark’s Stephen Parker and Josh Rubin walk through how they turned stills from DALL-E 2 into The Frost, a narrative short, and what the next generation of video models changes.多模态与媒体Generative media视觉与视频+3
2:32:49EN → 简体中文
Cognitive Revolution "How AI Changes Everything"· 2023年9月12日播客GPT-4 答不对一顶空心礼帽的谜题,好莱坞的 AI 协议只堵上了一半漏洞主持 Nathan Labenz编剧 Trey Kollmer 回来了,带来罢工进展、版权讲解,以及一道连最好的模型也会答错的谜题。企业与战略AI research微调+3
1:00:02EN
Cognitive Revolution "How AI Changes Everything"· 2023年8月17日播客98% of Users Froze on a Blank Page. Then Gamma Let AI Finish 90% of the Deck主持 Nathan LabenzJon Noronha on building the anti-PowerPoint, coaxing models to write HTML, and why incumbents will let startups prove the pattern first.产品与体验Product StrategyAI Product Management+3
1:23:40EN
Cognitive Revolution "How AI Changes Everything"· 2023年8月15日播客A $9 Tutor That Refuses to Give the Answer主持 Nathan LabenzHow Khan Academy spent five months of GPT-4 early access building Khanmigo, a Socratic tutor shipped on the model's launch day.产品与体验AI in EducationProduct Strategy+3
1:40:44EN
Cognitive Revolution "How AI Changes Everything"· 2023年7月19日播客Give the Model Time, Memory, and Tools: Nathan Labenz’s 2023 Field Guide to Using GPT-4主持 Nathan LabenzPart two of the AI Scouting Report walks from H100 clusters and RLHF through chain-of-thought, retrieval, agents, and mixture-of-experts.智能体检索增强生成Prompting & in-context learning+3
1:47:05EN
Cognitive Revolution "How AI Changes Everything"· 2023年7月1日播客Edit Meaning, Not Tokens: Linus Lee on Latent-Space Interfaces主持 Nathan LabenzThe Notion AI product lead walks Nathan Labenz through the interfaces, model autopsies, and agency questions behind his research prototypes.产品与体验AI interface designProduct Strategy+3
1:21:06EN
Cognitive Revolution "How AI Changes Everything"· 2023年4月27日播客Everyone Talks About RLHF. Almost Nobody Is Doing It.主持 Nathan LabenzHumanloop CEO Raza Habib on why an LLM API is maybe five percent of a working product, and what actually fills the rest.产品与体验评估可观测性与可靠性+3
1:29:59EN
Cognitive Revolution "How AI Changes Everything"· 2023年4月20日播客A College Senior Built a Jailbreak Leaderboard. GPT-4 Was Hardest — Until "Dr. AI"主持 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.安全Prompt injection安全与治理+3
1:25:50EN
Cognitive Revolution "How AI Changes Everything"· 2023年4月18日播客Prompt Engineering Became Programming, and Riley Goodside Is Fine With That主持 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.企业与战略Prompting & in-context learningStructured outputs+3
加载更多已显示 24 篇,共 26 篇