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59:06ENInference Costs Fell 100x. Tri Dao Says There's Another 10x — and NVIDIA's 90% Won't HoldPresenta: Jacob EffronThe FlashAttention author and Together AI chief scientist on why hardware portability is a myth, how Claude Code made him 1.5x faster, and why workloads will split the chip market.
3:14:49ENNothing This Summer Jumped the Curve: Why Zvi Lengthened His AGI TimelinesPresenta: Nathan LabenzOn his tenth visit to The Cognitive Revolution, Zvi Mowshowitz argues that GPT-5 and IMO gold stayed on trend, while chip policy, energy, and reinforcement learning nudged his p(doom) slightly up.
15:26ENSeptember 2025 AI News: xAI Litigation, Microsoft Models, Anthropic and Medical ResearchMatthew Berman · Forward FutureMatthew Berman reviews model releases, company funding, an antitrust ruling, robot demos and a study of subtle movement in brain-injured patients.
1:51:39ENA native ad engine for AI—and the questions it cannot dodgePresenta: Nathan LabenzRyan Hudson, who sold Honey to PayPal for $4 billion, joins Nathan Labenz to explain ZeroClick’s bet on paid inference-time ads, and the societal incentives he has not yet had to confront.
1:55:02ENA hundred experiments a day, and the valley of death in materialsPresenta: Nathan LabenzRadical AI’s co-founders tell Nathan Labenz how a closed loop of frontier models and a self-driving lab is meant to collapse a forty-year materials cycle into less than a decade.
9:45ENMatthew Berman Reviews the First Reactions to Gemini's Nano Banana Image ModelMatthew Berman · Forward FutureEarly creators combine Google's image editor with 3D and video tools, while exposing errors, limitations, and safety questions in the results.
17:51ENAI News in August 2025: Claude for Chrome, New Models and AI InfrastructureMatthew Berman · Forward FutureMatthew Berman reviews a browser-agent preview, model releases, reported Apple discussions and research on inference and weather.
2:02:17ENSAEs Find the Nouns. Parameter Decomposition Looks for the VerbsPresenta: Nathan LabenzGoodfire's Lee Sharkey argues that sparse autoencoders recover a network's variables, not the algorithms those variables run, and shows how stochastic parameter decomposition tries to recover the computations themselves.
18:31ENTesting Nano Banana: Gemini 2.5 Flash Image EditingMatthew Berman · Forward FutureMatthew Berman tests character consistency, image edits, generation, visual sequences and common failure cases.
2:04:27ENA 10% Chance of an AI-Enabled Coup in the Next 30 YearsPresenta: Nathan LabenzTom Davidson maps three ways superintelligent systems could help a head of state or a lab CEO lock in power—and argues the window for building safeguards is short.
18:40ENAI News in August 2025: Model Memory, Image Editing, Coding Agents and RobotsMatthew Berman · Forward FutureMatthew Berman reviews early reports on GPT-6, DeepSeek V3.1, Qwen image editing, developer tools and humanoid demonstrations. Several claims were previews, company statements or unconfirmed reports.
13:13ENEarly Nano Banana Image Editing Examples and a Hands-On TestMatthew Berman · Forward FutureMatthew Berman examines selective edits, photo restoration and image composition, then tries several prompts in LM Arena.
1:51:24ENFrontier AI Insiders Don't Trust Regulators. A Berlin Group Built Them an Anonymous Off-RampPresenta: Nathan LabenzKarl Koch of the AI Whistleblower Initiative on gray-zone fears, retaliation, and a Tor-based way to ask for help before you decide anything.
23:41ENGPT-5 Prompting: Agent Behavior, Coding and Prompt OptimizationMatthew Berman · Forward FutureMatthew Berman walks through OpenAI’s 2025 prompting guide and demonstrates a tool for revising developer instructions.
1:48:49EN$500, 2,000 Steps, and a Vending Machine: Grok 4 Profited, Claude Called the FBIPresenta: Nathan LabenzAndon Labs put frontier models in charge of simulated and real vending machines to see what breaks when nobody is in the loop.
3:17:35ENTen Thousand Comments and 76 Spare Gigawatts: Four Months Writing America's AI Action PlanPresenta: Nathan LabenzDean W. Ball spent four months as the White House's senior AI adviser, then left as the Action Plan landed — and explains how a to-do list got written inside a building that cannot run ChatGPT.
57:52ENThey Aimed for 1%. The Lab Hit 20%. Chai Discovery Moved Antibody Design Onto the Computer.Presenta: Jacob EffronJoshua Meier on three waves of AI drug discovery, why Chai-2 behaves like Photoshop for molecules, and why a 1% hit rate was supposed to be enough to change the industry.
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.
10:09ENMatthew Berman on Emotional Attachment to AI After GPT-5’s LaunchMatthew Berman · Forward FutureThe 2025 GPT-5 rollout prompted debate about attachment to older models, sycophancy and the effects of AI companionship.
1:14:05ENSullivan boils US-China AI competition down to four buckets, four examples, and a path he calls boringPresenta: Nathan LabenzThe former national security advisor treats transformative AI as a planning assumption, not a prophecy, and wants Washington to compete hard with Beijing without pretending a grand bargain will cure the rivalry.
15:08ENGPT-5 at Launch: Routing, Coding, Benchmarks and ReliabilityMatthew Berman · Forward FutureMatthew Berman reviews OpenAI’s 2025 GPT-5 release, its unified ChatGPT experience, benchmark claims and the limitations of model evaluations.
1:10ENTesting a GPT-5-Generated Rubik’s Cube SimulatorMatthew Berman · Forward FutureMatthew Berman prompts GPT-5 to build a Three.js cube simulator and tries its scramble and solve controls at several sizes.
25:24ENGPT-5 Tested on Coding, Simulations and Multimodal TasksMatthew Berman · Forward FutureMatthew Berman tries browser applications, visual simulations and image prompts, showing both successes and defects in his early hands-on tests.
1:45:00ENAmerica Holds 45% of the World's Data Centers. Everyone Else Must Build, Buy, or AllyPresenta: Nathan LabenzAnjney Midha of a16z maps what “sovereign AI” actually means for companies and for countries that will never own the talent, data, and compute frontier.
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