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14:47ENAI News in September 2025: OpenAI’s Programming Test, Meta’s REFRAG and New Agent ToolsMatthew Berman · Forward FutureMatthew Berman surveys competition results, efficient retrieval, agent payments, 3D worlds and model launches, alongside updates on Waymo and AI video. The episode distinguishes announcements, research claims and rumors from established outcomes.
16:29ENWhat Anthropic’s 2025 Economic Index Says About AI Adoption and WorkMatthew Berman · Forward FutureMatthew Berman explores Claude usage across tasks, countries and businesses, and considers what uneven adoption could mean for workers and inequality.
42:20ENA Name Invented at 2:30 a.m. Put Gemini on Top of the App Storeホスト Jacob EffronGoogle's Nicole Brichtova and Oliver Wang on Nano Banana, why image models got smart when language models did, and why a prompt still is not a finished product.
8:47ENWhy Identical LLM Prompts Can Produce Different Answers at Temperature ZeroMatthew Berman · Forward FutureMatthew Berman explains Thinking Machines Lab’s work on batch-invariant inference and what its reproducibility experiment actually showed.
18:05ENAI News: Qwen3-Max, OpenAI’s Restructuring and New Research ModelsMatthew Berman · Forward FutureMatthew Berman surveys September 2025 releases and reports, from silent speech and image generation to infrastructure and AI business deals.
1:32:47ENA transformer co-author wants a $160 million model no company ownsホスト Nathan LabenzIllia Polosukhin tells Nathan Labenz how NEAR turned a payments headache into a stack for private inference, shared-revenue training, and AI agents that still answer to a court.
1:44:35ENJoe Hudson: $500 Billion Went Into AI, and Nobody Defined 'Good for Humanity'ホスト Nathan LabenzSam Altman says the OpenAI coach's superpower is emotional clarity — and that it will be one of the most critical skills in a post-AGI world.
59:06ENInference Costs Fell 100x. Tri Dao Says There's Another 10x — and NVIDIA's 90% Won't Holdホスト 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 Timelinesホスト 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 dodgeホスト 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 materialsホスト 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 Verbsホスト 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 Yearsホスト 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-Rampホスト 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 FBIホスト 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 Planホスト 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.ホスト 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.
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