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1:48:20EN
Cognitive Revolution "How AI Changes Everything"· 25. Jan. 2025PodcastFrom 15% to 70% on Right-or-Wrong Scores: DeepSeek-R1 Laid Reinforcement Learning's Cards on the TableModeration: Nathan LabenzOn Inauguration Day 2025, DeepSeek and Moonshot dropped reasoning-model results that Nathan Labenz reads as proof the reinforcement-learning recipe is simple, public, and still climbing.Modelle & TrainingReinforcement LearningReasoning & test-time compute+3
Folien0:55EN
Matthew Berman· 23. Jan. 2025A Quick RTX 5090 Local AI TestMatthew Berman · Forward FutureMatthew Berman runs an 8B DeepSeek R1 distillation locally and reports the speed of one generation.Local inferenceSemiconductorsOpen-weight models
1:40:22EN
Cognitive Revolution "How AI Changes Everything"· 22. Jan. 2025PodcastTwenty-atom crystals taught an AI the physics of a heartbeatModeration: Nathan LabenzOrbital Materials' Jonathan Godwin and Tim Duignan tell Nathan Labenz how a neural network trained on tiny crystals simulated a potassium ion channel on a single 2017 GPU.Modelle & TrainingAI for scienceML-Grundlagen+3
4 Folien15:10EN
Matthew Berman· 22. Jan. 2025DeepSeek R1 Tested on Coding, Reasoning and Sensitive QuestionsMatthew Berman · Forward FutureMatthew Berman runs the full R1 model on cloud GPUs and tries game programming, reasoning puzzles and politically sensitive prompts.Reasoning & test-time computeEvalsOpen-weight models+2
2 Folien7:57EN
Matthew Berman· 22. Jan. 2025Stargate’s 2025 Announcement and the OpenAI–Microsoft PartnershipMatthew Berman · Forward FutureMatthew Berman reviews the planned US AI infrastructure project and a contemporaneous change to compute arrangements.Infrastruktur & DeploymentOpenAIAGI+1
5 Folien8:52EN
Matthew Berman· 21. Jan. 2025Industry Reactions to DeepSeek R1’s 2025 ReleaseMatthew Berman · Forward FutureMatthew Berman reviews early reactions to DeepSeek R1, from open-weight reasoning models and local hardware to benchmark results and API pricing.Open-weight modelsReasoning & test-time computeBenchmarks+2
1:24:57EN
Unsupervised Learning: With Jacob Effron· 21. Jan. 2025PodcastA 50,000-GPU cap and a 1,700-chip loopholeModeration: Jacob EffronSemiAnalysis founder Dylan Patel walks through the AI diffusion rule, China’s compute squeeze, and how xAI stood up a 100,000-GPU cluster in a closed Memphis appliance factory.Infrastruktur & DeploymentAI RegulationGeopolitics+3
3 Folien12:15EN
Matthew Berman· 20. Jan. 2025DeepSeek-R1: Open-Weight Reasoning, Benchmark Results and a First TestMatthew Berman · Forward FutureMatthew Berman examines DeepSeek’s January 2025 release, compares reported benchmarks and prices, and tries a handful of reasoning prompts.Reasoning & test-time computeOpen-weight modelsReinforcement Learning+2
2:09:55EN
Cognitive Revolution "How AI Changes Everything"· 18. Jan. 2025PodcastThe Attacker Won All 70 Rounds Against Mind-Reading DefensesModeration: Nathan LabenzLuke Bailey, Erik Jenner, and Scott Emmons walk through a 50-page paper showing that probes, out-of-distribution detectors, and sparse autoencoders can be bypassed while the model still does the harm.SicherheitAI securitySicherheit & Governance+3
1:33:01EN
Cognitive Revolution "How AI Changes Everything"· 15. Jan. 2025PodcastRare Diseases Are Common: How a Harvard Gene Hunter Uses o1-pro on the Cases Sequencing Already MissedModeration: Nathan LabenzDr. Catherine Brownstein of Boston Children's Hospital explains why cheap genomes made her job harder, why data sharing still beats any model, and where ChatGPT Pro actually gives her hours back.AI in healthcareReasoning & test-time computePrompting & in-context learning+3
Folien2:57EN
Matthew Berman· 14. Jan. 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
3 Folien10:05EN
Matthew Berman· 9. Jan. 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.Sicherheit & GovernanceEvalsAI research
1:59:55EN
Cognitive Revolution "How AI Changes Everything"· 8. Jan. 2025PodcastMost People Would Quit Tomorrow: Nathan Labenz Maps AI Utopia and DoomModeration: 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.SicherheitAGIExistential Risk+3
3 Folien27:42EN
Matthew Berman· 8. Jan. 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
2:04:45EN
Cognitive Revolution "How AI Changes Everything"· 7. Jan. 2025Podcasto3 Hit Superhuman on ARC-AGI. It Still Lost at Tic-Tac-ToeModeration: 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.Modelle & TrainingReasoning & test-time computeBenchmarks+3
3:53:49EN
Cognitive Revolution "How AI Changes Everything"· 3. Jan. 2025PodcastWith One-Twelfth the Data, an Open-Source Vision Model Beat GPT-4oModeration: 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 & MedienMultimodal AIVision & Video+3
2 Folien30:29EN
Matthew Berman· 3. Jan. 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 LearningModelle & TrainingAI research+1
1:57:00EN
Cognitive Revolution "How AI Changes Everything"· 28. Dez. 2024PodcastLess Than 1%: Why OpenAI's roon Thinks the Good Guys Get AGI FirstModeration: 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.SicherheitSicherheit & GovernanceAGI Timelines+3
5 Folien19:06EN
Matthew Berman· 28. Dez. 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 EngineeringAgentenEvals+1
2:11:15EN
Cognitive Revolution "How AI Changes Everything"· 25. Dez. 2024PodcastA 50% Chance of Extinction — and a $50 GPT-4 for EveryoneModeration: Nathan LabenzEmad Mostaque tells Nathan Labenz why he puts p(doom) at even odds, why a five-watt model changes the energy debate, and how the Intelligent Internet would fund universal basic AI with a Bitcoin-like token.Unternehmen & StrategieSicherheit & GovernanceExistential Risk+3
6 Folien21:02EN
Matthew Berman· 24. Dez. 2024Reactions to OpenAI’s 2024 o3 Preview: Benchmarks, Cost and LimitsMatthew Berman · Forward FutureMatthew Berman surveys the responses to the o3 preview, from mathematical benchmarks to debates about AGI, compute and reliability.BenchmarksReasoning & test-time computeAGI+2
3 Folien14:15EN
Matthew Berman· 21. Dez. 2024Anthropic’s Alignment Faking Study: What the Experiments Actually ShowMatthew Berman · Forward FutureMatthew Berman examines a 2024 study of models responding differently when they believe their answers will be used for training.AI AlignmentAI SafetyAI research+1
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Cognitive Revolution "How AI Changes Everything"· 21. Dez. 2024PodcastFrontier Models Hit the 10th–40th Percentile on Real AI R&DModeration: 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.Evals & ObservabilityEvalsBenchmarks+3
5 Folien12:43EN
Jane Street· 20. Dez. 2024How OCaml Represents Values in MemoryA practical tour of immediate integers, heap blocks, runtime tags and variant constructors, illustrated with OCaml's Obj module.Software engineeringProgramming Languages
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