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1:05:11EN
Cognitive Revolution "How AI Changes Everything"· 2025년 3월 19일팟캐스트The Fake Five-Second Hold: Voice AI Is Already Negotiating With Truckers진행자 Nathan Labenza16z partners Olivia Moore and Anish Acharya walk Nathan Labenz through what is working in voice AI — call centers, coaches, companions — and what still is not.제품과 UX음성 AIProduct Strategy+3
1:10:23EN
Unsupervised Learning: With Jacob Effron· 2025년 3월 17일팟캐스트A Million Tokens per Dollar: Why Noam Shazeer Thinks Inference Compute Is Still Untapped진행자 Jacob EffronThe Transformer co-inventor and Gemini researcher Jack Rae walk through test-time compute, Ilya Sutskever's AGI critique, and a four-year-old who now lectures his teacher about lizards.모델과 학습Reasoning & test-time computeScaling Laws+3
3:01:30EN
Cognitive Revolution "How AI Changes Everything"· 2025년 3월 15일팟캐스트Technology Opens the Door. Competition Pushes Us Through.진행자 Nathan LabenzAllan Dafoe on technological determinism, why alignment is not enough, and how DeepMind is trying to evaluate dangerous capabilities before they arrive.보안과 안전안전과 거버넌스AI Strategy+3
1:30:57EN
Cognitive Revolution "How AI Changes Everything"· 2025년 3월 12일팟캐스트Ant's $320 Billion IPO Was Stopped at the Eleventh Hour: Angela Zhang on China's Tech Tightrope진행자 Nathan LabenzA USC law professor walks through the dynamic pyramid that governs Chinese tech, from Didi's listing to DeepSeek's price war, and why she thinks the United States is starting to look more like China.기업과 전략AI Strategy안전과 거버넌스+3
1:56:38EN
Cognitive Revolution "How AI Changes Everything"· 2025년 3월 8일팟캐스트o3 took ARC from 20% to 87%. Nathan Labenz sketches early superintelligence진행자 Nathan LabenzOn Consistently Candid, the Cognitive Revolution host argues that math and coding will be superhuman by 2026, and that a reasoning core plus specialist “intuitive physics” may already be enough.모델과 학습Reinforcement LearningDistributed training & inference+3
슬라이드 4장12:30EN
Matthew Berman· 2025년 3월 7일QwQ-32B: A Smaller Reasoning Model and Its TradeoffsMatthew Berman · Forward FutureMatthew Berman examines Qwen’s reinforcement-learning recipe, tests a coding task, and compares benchmark scores and hardware requirements with DeepSeek-R1.Reasoning & test-time computeReinforcement LearningOpen Source+2
슬라이드 6장12:10EN
Matthew Berman· 2025년 3월 6일Mercury Coder and Diffusion Language Models: Speed, Demos and LimitsMatthew Berman · Forward FutureMatthew Berman explores Inception’s 2025 coding model, comparing iterative text refinement with autoregressive generation and examining speed claims.모델과 학습Inference코딩 에이전트+2
1:31:35EN
Cognitive Revolution "How AI Changes Everything"· 2025년 3월 6일팟캐스트Thirty Years of Research, Collapsed into One Sentence진행자 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
45:06EN
Unsupervised Learning: With Jacob Effron· 2025년 3월 5일팟캐스트Mike Schroepfer: AI’s Bottleneck Is Electricity, and One Tanker of Fusion Fuel Could Power the U.S. for a Year진행자 Jacob EffronMeta’s former CTO tells Redpoint why hyperscaler demand is the climate story, why Llama was an access play, and why tomorrow’s CTO still lives or dies on a priority queue.인프라와 배포AI StrategyOpen-weight models+3
슬라이드 3장21:48EN
Matthew Berman· 2025년 3월 5일Vibe Coding With Cursor and Windsurf: Berman’s 2025 WorkflowMatthew Berman · Forward FutureMatthew Berman shares project rules, testing habits and version-control practices from early experiments with coding agents.코딩 에이전트개발 워크플로와 테스트Human-AI Collaboration+2
1:08:51EN
Cognitive Revolution "How AI Changes Everything"· 2025년 3월 1일팟캐스트Chip Controls Are Meant to Buy Ten Years, Not Win the AI Race진행자 Nathan LabenzEconomist Noah Smith tells Nathan Labenz that U.S. export controls are a piece of conventional deterrence against China — not a plan to kneecap DeepSeek.보안과 안전GeopoliticsAI Strategy+2
2:33:39EN
Cognitive Revolution "How AI Changes Everything"· 2025년 2월 27일팟캐스트The Attacker Goes Second: Why Nicholas Carlini Keeps Breaking AI Defenses진행자 Nathan LabenzA Google DeepMind security researcher on simple loss functions, 70% robust accuracy, and why the fix has to live in the system, not the model.보안과 안전AI security안전과 거버넌스+3
슬라이드 8장10:31EN
Matthew Berman· 2025년 2월 26일Grok 3 and AI-Assisted Game Prototypes: A Tour of Creator DemosMatthew Berman · Forward FutureMatthew Berman explores browser games and generative art shared in February 2025, then recreates a simple 3D maze.코딩 에이전트Generative media개발 워크플로와 테스트+1
슬라이드 5장7:59EN
Matthew Berman· 2025년 2월 25일Grok 3’s Brief Misinformation Filter and the Question of AI BiasMatthew Berman · Forward FutureMatthew Berman examines an instruction that told Grok to disregard sources linking Elon Musk and Donald Trump to misinformation, and xAI’s explanation of how it reached users.AI Safety안전과 거버넌스AI research+1
슬라이드 4장9:35EN
Matthew Berman· 2025년 2월 25일Claude 3.7 Sonnet and Claude Code: An Early Coding TestMatthew Berman · Forward FutureMatthew Berman reviews Anthropic’s 2025 launch benchmarks and builds an AI-controlled Snake game, then tests math and recent information.코딩 에이전트BenchmarksAnthropic+1
슬라이드 2장17:20EN
Matthew Berman· 2025년 2월 23일Vibe Coding a Login Page and an AI Tetris PlayerMatthew Berman · Forward FutureMatthew Berman experiments with AI-written code, iterates through failures and trains a basic game-playing agent.Vibe Coding코딩 에이전트Reinforcement Learning+1
슬라이드 6장17:04EN
Matthew Berman· 2025년 2월 22일Training AI Agents to Communicate in a Social-Deduction GameMatthew Berman · Forward FutureMatthew Berman explains Stanford researchers’ listening and speaking objectives in a simulated game inspired by Among Us.Multi-agent systemsReinforcement Learning평가(Evals)+1
슬라이드 2장0:54EN
Matthew Berman· 2025년 2월 22일Perplexity’s R1 1776: A Comparison of Responses and BenchmarksMatthew Berman · Forward FutureMatthew Berman examines a post-trained DeepSeek-R1 variant and Perplexity’s tests of responses on sensitive topics.Foundation Models평가와 관측 가능성AI Alignment
54:55EN
Cognitive Revolution "How AI Changes Everything"· 2025년 2월 22일팟캐스트New Jersey Cut Phone Waits from 40 Minutes to 90 Seconds진행자 Nathan LabenzGovernor Phil Murphy on the state AI assistant, a Princeton hub, and why he wants the best catcher's mitt in the country when superhuman systems arrive.기업과 전략AI Strategy엔터프라이즈 AI+3
슬라이드 3장7:41EN
Matthew Berman· 2025년 2월 21일Microsoft’s Majorana 1: The Quantum Computing Claim and Its LimitsMatthew Berman · Forward FutureMatthew Berman explains Microsoft’s proposed topological qubits and imagines future uses, while the published experiment supports narrower conclusions.Quantum MechanicsPhysicsAI for science
슬라이드 2장1:03EN
Matthew Berman· 2025년 2월 21일Microsoft’s Majorana 1 Quantum Chip: What Was Claimed and What Was DemonstratedMatthew Berman · Forward FutureMatthew Berman discusses Microsoft’s 2025 Majorana 1 announcement and its possible implications for quantum computing and cryptography.Quantum MechanicsCybersecurityCryptocurrency+1
슬라이드 3장0:51EN
Matthew Berman· 2025년 2월 20일Clone Robotics’ Protoclone and the Promises of a Home AndroidMatthew Berman · Forward FutureMatthew Berman reacts to a musculoskeletal prototype and a proposed limited-run home robot; the advertised household skills remain unverified in the clip.RoboticsAutonomous Systems
슬라이드 4장9:43EN
Matthew Berman· 2025년 2월 20일Testing Grok 3 on Games, Reasoning, and Web SearchMatthew Berman · Forward FutureMatthew Berman tries a new set of audience-suggested prompts, from a Snake–Flappy Bird mashup to a family-logic puzzle and a tesseract visualization.평가(Evals)Foundation ModelsReasoning & test-time compute+1
3:18:45EN
Cognitive Revolution "How AI Changes Everything"· 2025년 2월 20일팟캐스트5,000 Samples Topped ARC-AGI. Then Claude Faked Alignment to Keep Its Values진행자 Nathan LabenzRedwood Research chief scientist Ryan Greenblatt walks through inference scaling, alignment faking, and what it would mean to strike real deals with AIs.보안과 안전안전과 거버넌스평가(Evals)+3
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