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4 slides9:35EN
Matthew Berman· Feb 25, 2025Claude 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.Coding agentsBenchmarksAnthropic+1
1:18:09EN
20VC with Harry Stebbings· Feb 24, 2025Podcast · 2 speakersSteeve Morin on AI Inference, Chips and the Cost of Switching HardwareGuest Steeve Morin · Host Harry StebbingsThe ZML founder explains the difference between training and production inference and offers a competitive view of the AI hardware market.Infrastructure & deploymentInferenceAI cost & performance+2
2:36:13ZH → English
Zhang Xiaojun Podcast· Feb 24, 2025Podcast · 2 speakersSonglin Yang on New Attention Papers from DeepSeek, Kimi, and MiniMaxGuest Songlin Yang(松琳) · Host 张小珺From dynamic sparse attention to hybrid linear-attention architectures: how three approaches to long context balance training, inference, and hardware efficiency.Transformers & attentionGPU programming & kernelsModels & training+2
5 slides2:36:13ZH → English
Zhang Xiaojun Podcast· Feb 23, 2025Podcast · 2 speakersSonglin Yang Explains Attention Mechanisms from DeepSeek, Kimi, and MiniMaxGuest Songlin Yang(松琳) · Host 张小珺From dynamic sparse attention to linear hybrid architectures, explore how long-context models trade off quality, memory access, and hardware efficiency.Models & trainingAI researchAI cost & performance+1
2 slides17:20EN
Matthew Berman· Feb 23, 2025Vibe 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 CodingCoding agentsReinforcement Learning+1
6 slides17:04EN
Matthew Berman· Feb 22, 2025Training 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 LearningEvals+1
2 slides0:54EN
Matthew Berman· Feb 22, 2025Perplexity’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 ModelsEvals & observabilityAI Alignment
54:55EN
Cognitive Revolution "How AI Changes Everything"· Feb 22, 2025PodcastNew Jersey Cut Phone Waits from 40 Minutes to 90 SecondsHost 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.Enterprise & strategyAI StrategyEnterprise AI+3
3 slides7:41EN
Matthew Berman· Feb 21, 2025Microsoft’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
2 slides1:03EN
Matthew Berman· Feb 21, 2025Microsoft’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
0:48EN
Cognitive Revolution "How AI Changes Everything"· Feb 21, 2025PodcastWhy AI Threat Models May Be Hard to TestA short discussion of how a model that recognizes testing could behave differently in the lab.AI Safety
3 slides0:51EN
Matthew Berman· Feb 20, 2025Clone 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
46:23EN
20VC with Harry Stebbings· Feb 20, 2025Podcast · 2 speakersAdarsh Hiremath on Mercor, AI Recruiting and the Future of WorkGuest Adarsh Hiremath · Host Harry StebbingsThe Mercor co-founder discusses expert labor for AI labs, automated interviews, fundraising and his vision for a global labor marketplace.AI startups & small teamsHiringFuture of Work+2
4 slides9:43EN
Matthew Berman· Feb 20, 2025Testing 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.EvalsFoundation ModelsReasoning & test-time compute+1
3:18:45EN
Cognitive Revolution "How AI Changes Everything"· Feb 20, 2025Podcast5,000 Samples Topped ARC-AGI. Then Claude Faked Alignment to Keep Its ValuesHost Nathan LabenzRedwood Research chief scientist Ryan Greenblatt walks through inference scaling, alignment faking, and what it would mean to strike real deals with AIs.Security & safetySafety & governanceEvals+3
38:14EN
No Priors: AI, Machine Learning, Tech, & Startups· Feb 20, 2025Podcast · 2 speakersKyle Vogt Pitched 120 Investors for Cruise. He Will Not Sell the Home-Robot CompanyHost Sarah Guo, Elad GilThe Twitch and Cruise co-founder tells Sarah Guo and Elad Gil why Tesla won on business model, why chores should be automated, and why a tiny AI-era team is enough.Enterprise & strategyCompany BuildingRobotics+3
Slides0:32EN
Matthew Berman· Feb 20, 2025Figure’s Humanoid Robots and Natural-Language InstructionsMatthew Berman · Forward FutureMatthew Berman comments on a 2025 Figure Robotics demonstration and the potential for household chores.RoboticsAI agents
44:34EN
Unsupervised Learning: With Jacob Effron· Feb 19, 2025PodcastThe Cheaper Intelligence Gets, the More of It We'll BuyHost Jacob EffronAmazon AGI Lab head David Luan on what DeepSeek actually meant, why next-token prediction is not enough, and why agents are still stuck on reliability.AgentsAgent engineeringReinforcement Learning+3
Slides0:51EN
Matthew Berman· Feb 19, 2025Mira Murati Announces Thinking Machines LabMatthew Berman · Forward FutureMatthew Berman reviews the new AI lab’s stated goals in its February 2025 announcement.AI startups & small teamsAI researchOpen-source ecosystems
1:00:09EN
Sequoia Capital· Feb 18, 2025PodcastDeepSeek's Jailbreaks Don't Matter. Giving the Model Arms and Legs DoesPalo Alto Networks CEO Nikesh Arora tells Sequoia's Training Data why cheap brains scramble the AI order, why attackers already move faster than defenders, and why refusing to experiment is the real risk.Security & safetyAI securitySafety & governance+3
4 slides13:24EN
Matthew Berman· Feb 18, 2025Grok 3’s 2025 Launch: Benchmarks, Reasoning and DeepSearchMatthew Berman, Elon Musk · Forward FutureMatthew Berman reviews xAI’s launch charts, a historical user-preference leaderboard and an early product demonstration.Foundation ModelsBenchmarksReasoning & test-time compute+1
1:25:52EN
20VC with Harry Stebbings· Feb 17, 2025Podcast · 2 speakersJonathan Ross on Groq, Inference Economics and the AI Infrastructure RaceGuest Jonathan Ross · Host Harry StebbingsThe Groq CEO explains his bet on inference chips, compares his company’s architecture with GPUs, and discusses the financing and power needed to scale.Infrastructure & deploymentModels & trainingAI cost & performance+2
53:07ZH → English
Zhang Xiaojun Podcast· Feb 17, 2025Podcast · 2 speakersZhang Yaqin on the AGI Roadmap: Information, Physical, and Biological IntelligenceGuest 张亚勤 · Host 张小珺Zhang Yaqin divides AGI’s development into information, physical, and biological intelligence. Information intelligence may approach human levels within five years, general-purpose robots may take about ten, and biological intelligence could expand human memory and health in twenty. He also discusses how large models can give autonomous vehicles and robots more data, common sense, and ability to act.AGIRoboticsAI research+2
6 slides18:05EN
Matthew Berman· Feb 16, 2025OpenAI’s Coding-Competition Study: o1-ioi, o3 and the Limits of the ResultsMatthew Berman, Sam Altman · Forward FutureMatthew Berman interprets OpenAI’s 2025 paper on reinforcement learning and programming contests. The results are strong on the studied benchmarks, but do not establish AGI or remove humans from model development.Reasoning & test-time computeReinforcement LearningBenchmarks+2
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