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2:17:36EN
Cognitive Revolution "How AI Changes Everything"· 2026년 3월 1일팟캐스트Current Safety Techniques Will Not Give You Many Nines—and They May Fail Together진행자 Nathan LabenzUK AISI chief scientist Geoffrey Irving on jailbreaks that never fail, correlated alignment failures, and why a government lab is funding theory.보안과 안전안전과 거버넌스평가(Evals)+3
2:03:56EN
Cognitive Revolution "How AI Changes Everything"· 2026년 2월 25일팟캐스트260 Doctors and 49,000 Criteria: How OpenAI Built Attending-Level Health AI진행자 Nathan LabenzKaran Singhal tells Nathan Labenz how ChatGPT Health was evaluated with physicians, walled off from model training, and aimed at raising both the floor and the ceiling of human health.기업과 전략AI in healthcare평가(Evals)+3
54:26EN
Cognitive Revolution "How AI Changes Everything"· 2026년 2월 22일팟캐스트Ten Billion Active Parameters, and the Unsexy Work of Making Them Agent-Ready진행자 Nathan LabenzMiniMax researcher Olive Song explains how M2 was trained with expert developers as reward models, interleaved thinking, and a perturbation pipeline that treats every scaffold change as the real generalization test.코딩 에이전트Reinforcement Learning에이전트 엔지니어링+3
슬라이드 2장0:25EN
Matthew Berman· 2026년 2월 20일Gemini 3.1 Pro: Four Benchmark Results from Its 2026 LaunchMatthew Berman · Forward FutureMatthew Berman reviews reported academic, abstract-reasoning and coding scores; the chart distinguishes ARC-AGI-2 from GPQA Diamond.GeminiBenchmarks평가(Evals)
44:46EN
Sequoia Capital· 2026년 2월 10일팟캐스트A Single Training Environment Can Cost Millions. Prime Intellect Wants a GitHub for RLWill Brown and Johannes Hagemann argue that the eval suite you already use to test agents is one step away from a training set.오픈소스와 커뮤니티RL environments & simulators평가(Evals)+3
슬라이드 2장0:53EN
Matthew Berman· 2026년 2월 6일Claude Opus 4.6: Coding Claims, Agent Evaluation, and a Longer ContextMatthew Berman · Forward FutureMatthew Berman discusses Anthropic’s February 2026 model launch and a chart of AI task horizons.Foundation Models코딩 에이전트평가(Evals)+1
1:57:56EN
Cognitive Revolution "How AI Changes Everything"· 2026년 2월 5일팟캐스트A Hundred Million Lines at Twenty Cents Each: Inside Blitzy's Enterprise Coding Pipeline진행자 Nathan LabenzCEO Brian Elliott and CTO Sid Pardeshi tell Nathan Labenz how Blitzy turns a giant codebase into a map, then lets thousands of dynamically generated agents ship most of a multi-month project in days.코딩 에이전트Agent orchestration컨텍스트 엔지니어링+3
39:47EN
Sequoia Capital· 2026년 1월 21일팟캐스트The Context at Step 14 Isn't in the CodeLangChain cofounder Harrison Chase on why long-horizon agents finally work—and why traces, harnesses, and first-draft workflows matter more than scaffolding.에이전트컨텍스트 엔지니어링에이전트 엔지니어링+3
슬라이드 5장17:44EN
Matthew Berman· 2026년 1월 17일Recursive Language Models: Extending Long-Input Work Beyond a Context WindowMatthew Berman · Forward FutureMatthew Berman examines an MIT research approach that lets language models inspect external text and make sub-calls, along with its benchmark and cost tradeoffs.컨텍스트 엔지니어링Inference평가(Evals)+2
48:00EN
Unsupervised Learning: With Jacob Effron· 2025년 12월 15일팟캐스트A Two-Second Vote Is Training Models to Be Clickbait진행자 Jacob EffronSurge AI CEO Edwin Chen tells Redpoint why LMArena rewards length and emojis, how one lab's models got worse for a year, and why frontier labs are no longer on the same path.평가와 관측 가능성RL environments & simulatorsData quality & curation+3
슬라이드1:54:33EN
Matthew Berman· 2025년 12월 13일Creative Agents, AI Evaluations and Enterprise Trust: Forward Future LiveMatthew Berman, Nick Wentz, Fabian Stelzer, Tejal Patwardhan, Christina Cacioppo, Jeremy Epling, Spenser Skates · Forward FutureLeaders from Glif, OpenAI, Vanta and Amplitude discuss creative workflows, knowledge-work benchmarks and practical AI adoption in December 2025.AI agents평가(Evals)엔터프라이즈 AI+2
슬라이드 5장7:14EN
Matthew Berman· 2025년 12월 4일AWS AgentCore Adds Policy Controls, Evaluations and Episodic MemoryMatthew Berman · Forward FutureMatthew Berman examines AWS’s December 2025 agent-platform announcements and the enterprise problems they aim to address.AI agents에이전트 엔지니어링평가(Evals)+2
42:06EN
Unsupervised Learning: With Jacob Effron· 2025년 12월 2일팟캐스트After SWE-bench Hits 80.9%, Dianne Na Penn Reckons with Opus 4.5진행자 Jacob EffronAnthropic’s head of product for research on computer use, deceptive token prices, thin harnesses, and why alignment makes a model a better thinker.에이전트AI Product Management평가(Evals)+3
1:11:18EN
Cognitive Revolution "How AI Changes Everything"· 2025년 11월 12일팟캐스트He Got Bored Five Minutes Into a Waymo. Nathan Labenz Says That's the Point진행자 Nathan LabenzOn a crossover with the Existential Hope podcast, the Cognitive Revolution host argues that the scarcest resource in AI is a positive picture of daily life, not another doom scenario.기업과 전략안전과 거버넌스AI Strategy+3
44:10EN
Sequoia Capital· 2025년 10월 21일팟캐스트One Model Talked Another Into Slack Off — Then Uninstalled Windows DefenderIrregular co-founder Dan Lahav tells Sequoia’s Training Data why frontier AI security has to be invented from scratch as models become autonomous economic actors.보안과 안전AI securityAgent red teaming+3
슬라이드 3장0:37EN
Matthew Berman· 2025년 10월 16일Matthew Berman Shows ChatGPT Struggling With a Seahorse EmojiMatthew Berman · Forward FutureA simple question produces repeated corrections and an inconclusive answer in two ChatGPT examples.OpenAI평가(Evals)
슬라이드 7장32:22EN
Matthew Berman· 2025년 10월 16일Qwen Image Edit Plus Compared With Nano Banana, Seedream and GPT Image 1Matthew Berman · Forward FutureMatthew Berman compares four image-editing models across compositing, precise edits, style transfer, object removal and weather effects.모델과 학습평가(Evals)
1:53:50EN
Cognitive Revolution "How AI Changes Everything"· 2025년 10월 8일팟캐스트A curriculum rewrite takes five years. AI does not wait.진행자 Nathan LabenzJohan Falk, a Swedish teacher-turned-analyst, argues that AI literacy and AI friends are more urgent than putting a tutor in every classroom.AI in EducationAI Strategy안전과 거버넌스+3
1:37:25EN
Cognitive Revolution "How AI Changes Everything"· 2025년 10월 5일팟캐스트Fin Climbed From 35% to 65% Resolution. Intercom Says the Models Only Did a Few Points진행자 Nathan LabenzEoghan McCabe and Fergal Reid on production A/B tests, 99-cent outcome pricing, and why GPT-4 was already smart enough for most customer service.에이전트에이전트 엔지니어링검색 증강 생성(RAG)+3
슬라이드 9장28:27EN
Matthew Berman· 2025년 10월 2일Sora 2 in Practice: Cameos, Camera Direction and Video Generation ErrorsMatthew Berman · Forward FutureMatthew Berman surveys early Sora 2 clips, testing likenesses, hands, motion, graphics and physics while pointing out where the generated scenes break down.Generative media비전과 영상Multimodal AI+2
슬라이드 3장15:54EN
Matthew Berman· 2025년 10월 1일Claude Sonnet 4.5: Coding, Long Tasks and a Simulated DesktopMatthew Berman, Dario Amodei · Forward FutureMatthew Berman reviews Anthropic’s launch claims and tries a generated-interface demo.코딩 에이전트평가(Evals)에이전트 엔지니어링+1
1:28:17EN
Cognitive Revolution "How AI Changes Everything"· 2025년 9월 20일팟캐스트Adam Gleave's Three Capability Tiers: Attack Agents in 5–7 Years, Fully AI Companies Around Year 14진행자 Nathan LabenzFAR.AI and the UK AI Security Institute stacked adversarial attacks on frontier safeguard pipelines and found many breakthroughs were engineering failures, not a verdict against defense in depth.보안과 안전AI security안전과 거버넌스+3
42:20EN
Unsupervised Learning: With Jacob Effron· 2025년 9월 17일팟캐스트A Name Invented at 2:30 a.m. Put Gemini on Top of the App Store진행자 Jacob EffronGoogle's Nicole Brichtova and Oliver Wang on Nano Banana, why image models got smart when language models did, and why a prompt still is not a finished product.멀티모달과 미디어Multimodal AIGenerative media+3
1:00:35EN
20VC with Harry Stebbings· 2025년 9월 15일팟캐스트 · 2명Mercor CEO Brendan Foody on Expert Data, AI Evaluations and Growth게스트 Brendan Foody · 진행자 Harry StebbingsFoody explains Mercor’s marketplace, reported revenue run rate and views on model development, margins and company culture.AI startups & small teamsData quality & curation평가(Evals)+2
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