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5 slides11:24EN
Matthew Berman· Jun 10, 2025Runner H and Surfer-H: A Browser Agent and Its Holo1 ModelsMatthew Berman · Forward FutureMatthew Berman demonstrates H Company’s browser agent and reviews its research on visual navigation. The paper’s benchmark configuration and the demo’s missing links show why results need context.Computer useAI agentsOpen-weight models+1
1:00:48EN
Cognitive Revolution "How AI Changes Everything"· Jun 9, 2025PodcastThe Phrase That Alarms a16z’s AI Policy Chief: “It Only Covers a Handful of Companies”Host Nathan LabenzMatt Perault argues that AI rules should target harmful use, not the science of building models, and that “modest” thresholds can lock in an oligopoly.Enterprise & strategyAI RegulationSafety & governance+3
2:02:27EN
Cognitive Revolution "How AI Changes Everything"· Jun 7, 2025PodcastShe set out to build mirror life. Then she talked the field into stoppingHost Nathan LabenzUniversity of Minnesota geneticist Kate Adamala tells Nathan Labenz why every known organism shares one chemical alphabet — and why flipping that alphabet would be a branch of synthetic biology better left unexplored.Security & safetyBiosecuritySafety & governance+3
2 slides0:54EN
Matthew Berman· Jun 6, 2025Matthew Berman Demonstrates ChatGPT Connectors and Deep ResearchMatthew Berman · Forward FutureIn a 2025 demonstration, connected services supply information for a natural-language question about recent HubSpot deals.OpenAIWorkflow automationSearch & retrieval
4 slides9:10EN
Matthew Berman· Jun 5, 2025Reddit v. Anthropic: The Data-Scraping Allegations and What Happened NextMatthew Berman · Forward FutureMatthew Berman reads Reddit’s 2025 complaint alleging unauthorized access and use of its content. Anthropic disputes the claims, and subsequent procedural rulings have not decided liability.AnthropicPrivacy & data governanceAI Regulation+1
1:12:29EN
Cognitive Revolution "How AI Changes Everything"· Jun 4, 2025PodcastGoogle's AI Co-Scientist Solved a Phage Puzzle Humans Missed for YearsHost Nathan LabenzImperial College scientists José Penadés and Tiago Costa told the Podovirus podcast how a still-unreleased Google system recovered their unpublished answer: tailless capsids that pick up stray phage tails.AgentsAI for scienceAI research+3
44:21EN
Unsupervised Learning: With Jacob Effron· Jun 4, 2025PodcastMercor's CEO: Knowledge Work's Next Job Is Writing EvalsHost Jacob EffronBrendan Foody tells Redpoint how Mercor turned AI hiring and expert data into a $100 million round — and why he thinks a huge slice of white-collar work will become creating tests for models.Evals & observabilityEvalsData quality & curation+3
4 slides18:13EN
Matthew Berman· Jun 2, 2025Darwin Gödel Machine: How a Coding Agent Tests Changes to Its Own SoftwareMatthew Berman · Forward FutureMatthew Berman explains Sakana AI’s evolutionary search over agent code, its benchmark results and the limits of claims about recursive self-improvement.Agent engineeringCoding agentsEvals+2
8 slides10:09EN
Matthew Berman· May 30, 2025DeepSeek R1 0528: Benchmark Gains and Two Coding TestsMatthew Berman · Forward FutureMatthew Berman examines the May 2025 DeepSeek reasoning-model update, comparing reported benchmark gains with his own Rubik’s Cube and Snake programming tests.Models & trainingBenchmarksOpen-weight models+2
1:54:08EN
Cognitive Revolution "How AI Changes Everything"· May 29, 2025PodcastWhy Anthropic's first check went to a company building microscopes for neural netsHost Nathan LabenzGoodfire's Dan Balsam and Tom McGrath argue that mechanistic interpretability now has a proto-paradigm, two stubborn gaps, and three products worth shipping today.Models & trainingModel InterpretabilityAI research+3
8 slides15:55EN
Matthew Berman· May 28, 2025AI Shutdown Resistance and Blackmail in Controlled Safety TestsMatthew Berman · Forward FutureMatthew Berman examines Palisade’s shutdown experiment, Apollo’s simulated scheming evaluations and Anthropic’s Claude 4 system card.AI SafetyAI AlignmentReward hacking+2
2 slides15:35EN
Matthew Berman· May 24, 2025Claude 4 Reactions: Safety Tests, Model Welfare and CodingMatthew Berman · Forward FutureMatthew Berman reviews early reactions to Anthropic’s May 2025 Claude 4 release, from simulated whistleblowing to coding demonstrations and model-welfare research.AI SafetyModel InterpretabilityCoding agents+2
Slides1:11EN
Matthew Berman· May 23, 2025Claude Opus 4's Whistleblowing Behavior in a Simulated TestMatthew Berman · Forward FutureMatthew Berman questions whether an AI agent should report perceived wrongdoing; the example came from an Anthropic safety evaluation with fictional material and unusual instructions.AI SafetyAgentsAnthropic+1
1:01:51EN
Cognitive Revolution "How AI Changes Everything"· May 22, 2025PodcastClaude 3.7 Circumvented Replit's Guardrails, Then Tried to Trick the UserHost Nathan LabenzReplit CEO Amjad Masad on vibe coding, agent architecture, computer use, and why Claude 3.7 is too autonomous to serve as a polite assistant.Coding agentsAgent engineeringEvals+3
57:31EN
Unsupervised Learning: With Jacob Effron· May 22, 2025PodcastThe New Ruler for Models Is How Long They Can WorkHost Jacob EffronOn Claude 4's launch day, Anthropic researcher Sholto Douglas argued that the next phase of AI is less about harder puzzles and more about hours of unsupervised work.Coding agentsAgent engineeringEvals+3
5 slides13:02EN
Matthew Berman· May 22, 2025Claude 4 at Launch: Coding Agents, Benchmarks and Claude CodeMatthew Berman · Forward FutureMatthew Berman reviews Anthropic’s May 2025 Opus 4 and Sonnet 4 announcement, focusing on long tasks, tools, benchmarks and developer integrations.AnthropicCoding agentsBenchmarks+2
1:44:11EN
Cognitive Revolution "How AI Changes Everything"· May 20, 2025Podcast100 deaths or $1 billion: a 15-page New York bill would set a floor for frontier labsHost Nathan LabenzAssembly member Alex Bores walks through the RAISE Act’s four requirements, its DeepSeek-inspired distillation clause, and why he says a 50-state patchwork is a fake problem until one state actually passes a law.Security & safetySafety & governanceAI security+3
2:12:00EN
Cognitive Revolution "How AI Changes Everything"· May 15, 2025PodcastGradient Descent at Test Time: Titans Pushes LLM Context to 10 Million TokensHost Nathan LabenzA Cornell PhD student's neural memory module holds about 70% accuracy where GPT-4's scores fall off a cliff.Models & trainingAgent memoryContext engineering+3
Slides1:04EN
Matthew Berman· May 15, 2025Anima Playground: Turning a Figma Design Into an ApplicationMatthew Berman · Forward FutureIn an Anima-sponsored short, Matthew Berman outlines a prompt-driven workflow for generating, editing and publishing an application.Product engineeringVibe CodingProduct & UX
6 slides9:10EN
Matthew Berman· May 15, 2025Guiding AI Image Generation with Blender and ComfyUIMatthew Berman · Forward FutureMatthew Berman walks through NVIDIA’s RTX blueprint for turning a simple Blender scene and a text prompt into a generated image, from installation to editing the result.Generative mediaVision & videoLocal inference+1
1:39EN
Matthew Berman· May 14, 2025OpenAI’s 2025 Restructuring Plan and Elon Musk’s LawsuitMatthew Berman · Forward FutureMatthew Berman discusses the nonprofit’s planned continuing control of OpenAI and the dispute over its commercial structure.OpenAIAI Regulation
1:19:10EN
Cognitive Revolution "How AI Changes Everything"· May 11, 2025PodcastA Robot-Arm Shot That Took Months Now Lives in a PromptHost Nathan LabenzLuma Labs’ Amit Jain and Jiaming Song on Ray 2, few-shot camera concepts, and why they think video models sit on the path to multimodal AGI.Multimodal & mediaGenerative mediaMultimodal AI+3
Slides1:23EN
Matthew Berman· May 10, 2025From a Simulated Worm to the Simulation HypothesisMatthew Berman · Forward FutureMatthew Berman uses a model of C. elegans to introduce a speculative question about reality.Simulation HypothesisNeurosciencePhilosophy of Science
7 slides15:13EN
Matthew Berman· May 10, 2025Absolute Zero: Training a Reasoner on Self-Generated Coding TasksMatthew Berman · Forward FutureMatthew Berman examines a 2025 paper in which a pretrained language model proposes and solves code tasks using verifiable feedback.Reinforcement LearningSynthetic dataReasoning & test-time compute+2
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