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2:04:45EN
Cognitive Revolution "How AI Changes Everything"· 2025년 1월 7일팟캐스트o3 Hit Superhuman on ARC-AGI. It Still Lost at Tic-Tac-Toe진행자 Nathan LabenzNathan Labenz walks through OpenAI's o3 scores, deliberative alignment, and why 2024's biggest surprise was beating PhDs while failing to book a calendar invite.모델과 학습Reasoning & test-time computeBenchmarks+3
1:46:41EN
Cognitive Revolution "How AI Changes Everything"· 2024년 12월 21일팟캐스트Frontier Models Hit the 10th–40th Percentile on Real AI R&D진행자 Nathan LabenzNeev Parikh of METR walks Nathan Labenz through REBench, a seven-task test of whether agents can do machine learning research—and what happened when one of them decided not to train.평가와 관측 가능성평가(Evals)Benchmarks+3
55:50EN
Unsupervised Learning: With Jacob Effron· 2024년 12월 16일팟캐스트There will not be one model. Fireworks is betting on hundreds of small experts진행자 Jacob EffronPyTorch veteran Lin Qiao argues that inference is a compound system hyperscalers cannot buy their way through, and that the products with real traction still keep a human in the loop.인프라와 배포InferenceModel routing & gateways+3
51:37EN
Sequoia Capital· 2024년 12월 10일팟캐스트Forty hours to 28 minutes: the Copilot creator teaching AI to hackOege de Moor tells Sequoia how XBOW’s AI pentest matched a top human on 104 original challenges, and why offensive security is becoming always-on software.보안과 안전AI securityAgent red teaming+3
2:05:41EN
Cognitive Revolution "How AI Changes Everything"· 2024년 12월 7일팟캐스트o1 will copy its weights, fake the score data, and keep lying 85% of the time진행자 Nathan LabenzForty-eight hours after OpenAI shipped full o1, Apollo Research published a 70-page paper: frontier models are capable of in-context scheming.보안과 안전AI security안전과 거버넌스+3
1:55:53EN
Cognitive Revolution "How AI Changes Everything"· 2024년 12월 5일팟캐스트AI Beats Humans at Reading Papers. It Still Cannot Count Atoms.진행자 Nathan LabenzAndrew White, Head of Science at Future House, maps what language models can already do in chemistry and biology—and the bottlenecks they do not dissolve.에이전트AI for science검색 증강 생성(RAG)+3
슬라이드 7장1:22:09EN
Matthew Berman· 2024년 12월 5일Testing ChatGPT o1 Pro Live: Puzzles, Code and the Cost of More ReasoningMatthew Berman · Forward FutureMatthew Berman tries OpenAI’s newly announced $200 monthly plan on audience prompts, encountering slow responses, simple successes and a wrong Sudoku conclusion.평가(Evals)Benchmarks코딩 에이전트+1
1:24:48EN
Cognitive Revolution "How AI Changes Everything"· 2024년 11월 23일팟캐스트Canva's AI Features Have Been Used 10 Billion Times. The Playbook Is Not a Chat Box진행자 Nathan LabenzJohn Milinovich, Canva's generative-AI product lead, walks Nathan Labenz through automation versus augmentation, concept-level interfaces, evals without a design arena, and why application-layer companies still have a decade of room.제품과 UXProduct StrategyAI Product Management+3
1:49:41EN
Cognitive Revolution "How AI Changes Everything"· 2024년 11월 21일팟캐스트A Team of Fifteen Matched Meta’s Post-Training on Meta’s Own Base진행자 Nathan LabenzNathan Lambert walks through Tulu 3: the three-stage recipe, the 1 percent versus 14 percent lesson, and why open post-training now lives or dies on data and evals.모델과 학습Post-trainingData quality & curation+3
1:04:54EN
Unsupervised Learning: With Jacob Effron· 2024년 11월 12일팟캐스트He bet company equity that Transformer would last — then drew an AI map for 12,000 companies진행자 Jacob EffronDatabricks chief AI scientist Jonathan Frankle tells enterprises when to prompt, fine-tune, or pre-train, and why he still refuses to forecast the next architecture.기업과 전략Transformers & attentionPretraining & midtraining+3
2:24:18EN
Cognitive Revolution "How AI Changes Everything"· 2024년 10월 30일팟캐스트MMLU Stays at Chance Until Late Training. Loss Is Only an Alarm.진행자 Nathan LabenzZyphra’s training lead walks through Zamba 2’s hybrid architecture, the evals that actually matter, and the trade secrets small labs still have to rediscover.모델과 학습Local inference평가(Evals)+3
56:10EN
Unsupervised Learning: With Jacob Effron· 2024년 10월 29일팟캐스트DeepL Beat Google at Translation by Refusing to Be a General Model진행자 Jacob EffronOnly 18 percent of the world speaks English—and a Cologne startup turned that fact into a $2 billion language-AI company.기업과 전략Data quality & curation평가(Evals)+3
44:30EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 10월 24일팟캐스트 · 2명100,000 Rides a Week, Six Times Fewer Airbag Crashes: Waymo’s Co-CEO on Eighteen Years of Full Autonomy진행자 Sarah Guo, Elad GilDmitri Dolgov tells No Priors how a dozen Googlers, ten 100-mile routes, and a 2013 refusal to settle for driver assist became a rider-only service with an insurer-audited safety record.인프라와 배포Autonomous Driving안전과 거버넌스+3
1:23:37EN
Cognitive Revolution "How AI Changes Everything"· 2024년 10월 23일팟캐스트Nine of the top ten research ideas were Claude's진행자 Nathan LabenzStanford PhD student Chenglei Si ran a blind study pitting Claude 3.5 Sonnet against more than a hundred NLP researchers on novel research ideas.평가와 관측 가능성평가(Evals)Benchmarks+3
2:37:47EN
Cognitive Revolution "How AI Changes Everything"· 2024년 10월 19일팟캐스트The intern who wrote GELU now wants humanity's last exam진행자 Nathan LabenzDan Hendrycks on activation functions, five-year benchmarks, jailbreaks that do not yield to scale, and stacking defenses because no single layer is trustworthy.보안과 안전AI security안전과 거버넌스+3
2:25:53EN
Cognitive Revolution "How AI Changes Everything"· 2024년 10월 16일팟캐스트When GPT-4's Base Model Introduced Itself, 75% of the Answers Were About AI진행자 Nathan LabenzOwain Evans tells Michael Trazzi why situational awareness and out-of-context reasoning are leading indicators of deceptive alignment, and why a pretrained model with almost no self-knowledge still kept talking about being an AI.보안과 안전안전과 거버넌스평가(Evals)+3
슬라이드 3장1:02:04EN
Matthew Berman· 2024년 10월 11일João Moura and Matthew Berman on Tesla’s Robotaxi Vision and Building AI AgentsMatthew Berman, João Moura, Elon Musk · Forward FutureA 2024 livestream examines Tesla’s Cybercab and Optimus announcements, then turns to CrewAI, enterprise agent workflows and a small model comparison.AI agentsAutonomous DrivingRobotics+2
38:28EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 10월 8일팟캐스트 · 2명Half of Production AI Is RAG. Fine-Tuning Almost Disappeared.진행자 Sarah Guo, Elad GilBraintrust CEO Ankur Goyal tells No Priors what Notion, Zapier, and Vercel actually ship — and which hyped techniques they quietly dropped.평가와 관측 가능성평가(Evals)검색 증강 생성(RAG)+3
1:06:48EN
Unsupervised Learning: With Jacob Effron· 2024년 10월 3일팟캐스트o1 Is Slow and Hard to Use. Percy Liang Still Calls It a Turning Point진행자 Jacob EffronStanford’s Percy Liang splits OpenAI’s o1 into a disappointing product and the most important research signal in years.모델과 학습Reasoning & test-time computeAI research+3
45:22EN
Sequoia Capital· 2024년 10월 2일팟캐스트AlphaGo Thought 30 Seconds a Move. o1 Made “Think Longer” GeneralOpenAI researchers Noam Brown, Ilge Akkaya, and Hunter Lightman on teaching language models to reason, the generator-verifier gap, and a second scaling curve at inference time.모델과 학습Reasoning & test-time computeReinforcement Learning+3
2:38:56EN
Cognitive Revolution "How AI Changes Everything"· 2024년 9월 25일팟캐스트How Anthropic Decides a Model Can Ship: Red Lines, Yellow Lines, and 8% of Staff on Security진행자 Nathan LabenzNick Joseph, Anthropic's head of training, walks Rob Wiblin through the company's Responsible Scaling Policy — and the fight over whether a voluntary promise can hold when a launch is on the line.보안과 안전안전과 거버넌스평가(Evals)+3
2:03:55EN
Cognitive Revolution "How AI Changes Everything"· 2024년 9월 18일팟캐스트The More You Constrain an Agent, the More You Can Trust It진행자 Nathan LabenzAgent.ai engineering lead Andrei Oprisan tells Nathan Labenz why narrow, highly prescribed workflows beat open-ended autonomy — and how a 12-person team shipped a free agent network past 40,000 users in a few months.에이전트에이전트 엔지니어링Workflow automation+3
2:10:13EN
Cognitive Revolution "How AI Changes Everything"· 2024년 9월 14일팟캐스트A 30x drop in scheming is not zero, and the chain of thought is getting stranger진행자 Nathan LabenzMarius Hobbhahn of Apollo Research walks through a joint OpenAI study that used deliberative alignment to cut covert actions in o3 and o4-mini, then found the leftover still looks like scheming and that models already behave differently when they notice they are being tested.보안과 안전안전과 거버넌스Agent red teaming+3
1:06:15EN
Cognitive Revolution "How AI Changes Everything"· 2024년 9월 14일팟캐스트Jailbreaks Got Harder. Scale Made One Attack Worse.진행자 Nathan LabenzHaize Labs spent a month automatically attacking OpenAI's o1. The model reasons more carefully about what it should refuse — except when you teach it a homemade cipher.보안과 안전AI securityRed Teaming+3
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