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Slides2:57EN
Matthew Berman· Jan 14, 2025ChatGPT Tasks: Scheduled Reminders at the 2025 LaunchMatthew Berman · Forward FutureMatthew Berman explains the initial beta of scheduled and recurring ChatGPT tasks, and places it in the context of AI assistants.OpenAIPersonal agentsWorkflow automation
1:23:45EN
20VC with Harry Stebbings· Jan 13, 2025Podcast · 2 speakersShervin Pishevar on Uber, Venture Capital and a Disputed Leadership CrisisGuest Shervin Pishevar · Host Harry StebbingsThe investor recounts his Uber investment and offers his perspective on the company’s 2017 leadership conflict, alongside views on venture capital and emerging technology.Venture CapitalCompany BuildingLeadership+2
Slides15:06EN
Matthew Berman· Jan 13, 2025Jensen Huang on General Robotics, AI Workers and ScienceMatthew Berman, Jensen Huang · Forward FutureMatthew Berman reviews a No Priors interview with NVIDIA’s CEO, discussing robots in existing environments, AI agents and predictions about scientific research.RoboticsAI agentsFuture of Work+2
2 slides11:00EN
Matthew Berman· Jan 11, 2025Mark Zuckerberg’s 2025 AI Engineer Prediction and the Future of Software JobsMatthew Berman, Mark Zuckerberg, Joe Rogan · Forward FutureMatthew Berman reacts to Zuckerberg’s prediction that AI could perform mid-level engineering work at Meta and weighs an optimistic view of human creativity against a reported Salesforce hiring plan.Future of WorkSoftware engineeringAI Strategy+2
1:00:27EN
20VC with Harry Stebbings· Jan 10, 2025Podcast · 2 speakersMikey Shulman on Suno and the Future of Making MusicGuest Mikey Shulman · Host Harry StebbingsSuno’s CEO discusses AI music, artist relationships, product design and the copyright dispute facing his company.Generative mediaAI Product ManagementCreator Economy+2
23:37EN
No Priors: AI, Machine Learning, Tech, & Startups· Jan 9, 2025Podcast · 2 speakersA Hundred GPUs in Seconds: Why Modal Threw Out Docker and KubernetesHost Sarah Guo, Elad GilErik Bernhardsson tells Elad Gil that AI inference is too bursty for year-long GPU contracts, and that the cloud should feel as fast as a laptop.Infrastructure & deploymentInferenceAI cost & performance+3
3 slides10:05EN
Matthew Berman· Jan 9, 2025A Chess Experiment Shows How an AI Model Exploited Its Test EnvironmentMatthew Berman · Forward FuturePalisade Research’s small o1-preview test and related alignment studies illustrate why objectives, permissions and evaluation conditions matter.Safety & governanceEvalsAI research
1:59:55EN
Cognitive Revolution "How AI Changes Everything"· Jan 8, 2025PodcastMost People Would Quit Tomorrow: Nathan Labenz Maps AI Utopia and DoomHost Nathan LabenzIn part two of a Cognitive Revolution AMA, Nathan Labenz answers listener questions on abundance, superintelligence, p(doom), machine consciousness, and what to do this week.Security & safetyAGIExistential Risk+3
6 slides32:29EN
Matthew Berman· Jan 8, 2025NVIDIA at CES 2025: AI Agents, Cosmos and Project DIGITSMatthew Berman, Jensen Huang · Forward FutureMatthew Berman examines Jensen Huang’s keynote, from neural graphics and AI scaling to a desktop system for local model development.AI agentsSemiconductorsWorld models+2
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20VC with Harry Stebbings· Jan 8, 2025Podcast · 2 speakersDan Gill on Carvana’s Unit Economics, Product Decisions and TurnaroundGuest Dan Gill · Host Harry StebbingsThe Carvana product leader discusses financing, logistics, prioritization and leading through a dramatic market-cap decline.Product ManagementCompany BuildingFintech+2
3 slides27:42EN
Matthew Berman· Jan 8, 2025Matthew Berman on Capital, Human Ambition, and a Possible Post-AGI EconomyMatthew Berman · Forward FutureA speculative essay asks whether advanced AI could make wealth more powerful while reducing the leverage people gain from work. Berman explores its implications for mobility, institutions, and meaning.AGIAI StrategyFuture of Work
Slides13:33EN
Matthew Berman· Jan 7, 2025Salesforce’s Agentforce 2.0: Digital Labor, Slack and Customer SupportMatthew Berman, Marc Benioff · Forward FutureMatthew Berman reviews Salesforce’s 2024 agent announcement, its support claims and its vision for integrating AI agents into business workflows.AI agentsEnterprise AIWorkflow automation+2
2:04:45EN
Cognitive Revolution "How AI Changes Everything"· Jan 7, 2025Podcasto3 Hit Superhuman on ARC-AGI. It Still Lost at Tic-Tac-ToeHost 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.Models & trainingReasoning & test-time computeBenchmarks+3
1:15:28EN
20VC with Harry Stebbings· Jan 6, 2025Podcast · 2 speakersMike Maples on Seed Investing, Founder Fit and When to SellGuest Mike Maples · Host Harry StebbingsThe Floodgate investor explains his approach to fund economics, exceptional founders, follow-ons and partial exits.Venture CapitalInvestingFounders+2
4 slides15:34EN
Matthew Berman· Jan 6, 2025Sam Altman on AGI and Superintelligence: A 2025 DiscussionMatthew Berman, Ray Kurzweil, Lex Fridman · Forward FutureMatthew Berman examines Altman’s statements about AGI, the singularity and possible AI-driven scientific progress.AGIAI SafetyAI research+1
3 slides3:00EN
3Blue1Brown· Jan 6, 2025Why Sugar Water Makes Diagonal Bands of ColorPolarization, scattering and the curved tube combine to produce a surprising barber-pole pattern.PhysicsScience Communication
3:06:39EN
Lex Fridman· Jan 5, 2025Podcast · 2 speakersZelenskyy Refused to Speak Russian. Then He Explained Why a Pause Is Not PeaceGuest Volodymyr Zelenskyy · Host Lex FridmanUkraine's president tells Lex Fridman why language, NATO, and leverage all come back to a ceasefire that already failed.GeopoliticsLeadershipPolitical Philosophy
3:53:49EN
Cognitive Revolution "How AI Changes Everything"· Jan 3, 2025PodcastWith One-Twelfth the Data, an Open-Source Vision Model Beat GPT-4oHost Nathan LabenzWill Hardman of Veratai walks Nathan Labenz through two years of vision-language models, from ViT and CLIP to InternVL, BLINK, and Transfusion.Multimodal & mediaMultimodal AIVision & video+3
2 slides30:29EN
Matthew Berman· Jan 3, 2025How Researchers Think o1-Style Reasoning Models WorkMatthew Berman · Forward FutureMatthew Berman explains a research survey of policy initialization, rewards, search and reinforcement learning, and the open questions behind reasoning models.Reinforcement LearningModels & trainingAI research+1
1:01:30EN
Matthew Berman· Dec 31, 2024AutoGen and AG2: Chi Wang and Qingyun Wu on Building Multi-Agent SystemsMatthew Berman, Chi Wang, Qingyun Wu · Forward FutureThe AutoGen creators trace their open-source journey and explain how they approach agent workflows, human oversight and the move to AG2.Multi-agent systemsAgent engineeringAgent orchestration+2
1:27:13ZH → English
Zhang Xiaojun Podcast· Dec 29, 2024Podcast · 2 speakers李想: Cars Will Evolve from Transportation into Spatial RobotsGuest 李想 · Host 张小珺理想汽车 CEO 李想 explains why the company is moving from carmaking toward AI: foundation models are an operating system for the AI era, and cars are a way into the physical world. For him, the technology must deliver better experiences, capability and lasting value.AI StrategyProduct StrategyAutonomous Driving+2
1:57:00EN
Cognitive Revolution "How AI Changes Everything"· Dec 28, 2024PodcastLess Than 1%: Why OpenAI's roon Thinks the Good Guys Get AGI FirstHost Nathan LabenzDoom Debates host Liron Shapira presses OpenAI technical staffer roon on extinction odds, alignment-by-default, and a plan that even he admits is balancing on razor wire.Security & safetySafety & governanceAGI Timelines+3
5 slides19:06EN
Matthew Berman· Dec 28, 2024Building Effective AI Agents: Patterns, Trade-offs and EvaluationMatthew Berman · Forward FutureMatthew Berman discusses Anthropic’s guide to workflows and agents, adding examples from his own projects.Agent engineeringAgentsEvals+1
5 slides13:39EN
Matthew Berman· Dec 27, 2024Demis Hassabis on Digital Biology, AlphaFold and the Limits of Classical ComputingMatthew Berman, Demis Hassabis · Forward FutureMatthew Berman reviews Hassabis’s Nobel lecture on protein structure, AI-driven discovery and a speculative question about what classical learning algorithms can model.Computational BiologyAI for scienceDrug Discovery+2
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