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1:30:54ENHumanoids Outran Usain Bolt. DeepMind Still Scores Robotics as GPT-2Presenta: Nathan LabenzGoogle DeepMind's Gemini Robotics lead on why sprinting is easy, frying an egg is hard, and one brain should drive any body.
41:32ENUsing Fable 5.1 for Longer Coding TasksTheo Browne · T3Theo Browne shares how he prompts coding agents, sets end states and uses reviews and tests to support longer-running work.
2:06:11ENLindy Runs on DeepSeek. Its CEO Still Wants Chinese Models BannedPresenta: Nathan LabenzFlo Crivello tells Nathan Labenz how Lindy Teammate lives in Slack, reaches two billion tokens of memory in two model calls, and why he would still outlaw the cheap Chinese models that currently power the product.
15:03ENClaude Tag and the Risk of Locking Company Context into an AI ProviderMatthew Berman · Forward FutureMatthew Berman examines Anthropic’s Slack-based assistant and argues that shared AI workers could reshape software, competition and control of organizational knowledge.
1:45:59EN87% of Workers Use AI. Only 13% Say the Company Got Better.Presenta: Nathan LabenzGlean’s Work AI Index names the missing hours: botsitting, botshitting, and a hamster wheel of polished nonsense.
1:34:54ENSix Months, Eighty Percent Churn, Five Times the TokensPresenta: Nathan LabenzTasklet CEO Andrew Lee tells Cognitive Revolution how he rewrote the stack, why most lost users leave for Anthropic, and why he thinks only three kinds of software company survive.
2:12:51ENSteve Newman’s fifteen-app stack exists so he only has to look at one screenPresenta: Nathan LabenzThe Writely founder walks Nathan Labenz through a vibe-coded attention firewall, a conservative security stance, and why astonishing models still leave him far from AGI.
15:00ENClaude Code Source Exposure and Lessons About Agent HarnessesMatthew Berman · Forward FutureMatthew Berman discusses the 2026 source-map incident and commentary on instructions, subagents, permissions, compaction and hooks.
1:40:46ENGive an agent a thousand tools and it will pick the wrong bladePresenta: Nathan LabenzComposio CTO Karan Vaidya on the tool harness that discovers, authenticates, sandboxes, and rewrites integrations so agents can do whole jobs without drowning in context.
1:02ENUse Topic Threads to Keep OpenClaw Conversations FocusedMatthew Berman · Forward FutureMatthew Berman suggests separating subjects into sessions to make an assistant’s conversation context easier to navigate.
2:06:23ENFive AI Employees Live on Five Mac MinisPresenta: Nathan LabenzAfter selling her YC packaging company, Jesse Genet opened a terminal for the first time and built an OpenClaw staff that now plans lessons, logs learning, and keeps family evenings from sliding into slop.
0:53ENClaude Opus 4.6: Coding Claims, Agent Evaluation, and a Longer ContextMatthew Berman · Forward FutureMatthew Berman discusses Anthropic’s February 2026 model launch and a chart of AI task horizons.
1:57:56ENA Hundred Million Lines at Twenty Cents Each: Inside Blitzy's Enterprise Coding PipelinePresenta: Nathan LabenzCEO Brian Elliott and CTO Sid Pardeshi tell Nathan Labenz how Blitzy turns a giant codebase into a map, then lets thousands of dynamically generated agents ship most of a multi-month project in days.
14:20ENClaude Opus 4.6: Longer Context, Agent Teams and Early BenchmarksMatthew Berman · Forward FutureMatthew Berman reviews Anthropic's February 2026 model launch, its agent features, long-context results and historical pricing.
2:29:42ENTwelve hooks and thirty files: Daniel Miessler’s personal OS on Claude CodePresenta: Nathan LabenzThe PAI framework treats scaffolding, not the model, as the product — a goal-centered agent stack that Miessler thinks will decide both knowledge-work automation and the next cybersecurity race.
17:44ENRecursive Language Models: Extending Long-Input Work Beyond a Context WindowMatthew Berman · Forward FutureMatthew Berman examines an MIT research approach that lets language models inspect external text and make sub-calls, along with its benchmark and cost tradeoffs.
8:42ENDeepSeek-OCR and the Idea of Visual Context CompressionMatthew Berman · Forward FutureMatthew Berman examines a 2025 OCR model and the possibility of representing document text with fewer vision tokens.
11:38ENAI News in August 2025: App Store Dispute, Claude’s Long Context and New ModelsMatthew Berman · Forward FutureMatthew Berman reviews the Musk–Altman exchange, Claude Sonnet 4’s million-token beta, Skywork’s interactive world model and other AI announcements.
1:42:06ENEvery Frontier Lab Is Spending a Billion a Year on Data. Here Is Where It GoesPresenta: Nathan LabenzLabelbox CEO Manu Sharma on the $15 billion Scale deal, RL “gyms,” $250,000 trainers, and why post-training now eats the budget that used to belong to pre-training.
1:24:27EN500 Trillion Tokens a Month: How Google Grew 50x in a YearPresenta: Nathan LabenzLogan Kilpatrick returns to Cognitive Revolution to unpack Google's mid-2023 merger, why he expects frontier labs to diverge, and why startups still hold the speed advantage.
2:12:00ENGradient Descent at Test Time: Titans Pushes LLM Context to 10 Million TokensPresenta: Nathan LabenzA Cornell PhD student's neural memory module holds about 70% accuracy where GPT-4's scores fall off a cliff.
1:26:21ENFor under $10, Google's AI independently recovered a lab result nobody had publishedPresenta: Nathan LabenzVivek Natarajan and Anil Palepu tell Nathan Labenz how AMIE beats primary-care doctors on treatment plans, and how Co-Scientist matched Imperial College's unpublished bacterial-resistance mechanism.
18:23ENLlama 4 Reactions: Benchmarks, Long Context and Early TestsMatthew Berman · Forward FutureMatthew Berman reviews early industry reactions to Meta's Llama 4 release, from benchmark and price comparisons to long-context claims and local inference.
1:14:11ENThe Reasoning Curve Was Smooth All Along: Gemini 2.5's Jack Rae on Thinking, Memory, and AGIPresenta: Nathan LabenzDeepMind's thinking-and-inference lead explains why RL-for-reasoning felt sudden, why Gemini shows raw chain of thought, and why a million-token window still is not memory.
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