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1:55:02ENA hundred experiments a day, and the valley of death in materials진행자 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 Verbs진행자 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 Years진행자 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-Ramp진행자 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 FBI진행자 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 Plan진행자 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.진행자 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 boring진행자 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 Ally진행자 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.
1:01ENOpenAI’s gpt-oss Release and a Coding BenchmarkMatthew Berman · Forward FutureMatthew Berman introduces two open-weight models and reviews a Codeforces comparison from the launch.
10:28ENOpenAI’s gpt-oss Models: Open Weights, Benchmarks and SafetyMatthew Berman · Forward FutureMatthew Berman reviews the 120b and 20b models, local deployment claims, selected evaluations and the scope of OpenAI’s safety testing.
3:13ENClaude Opus 4.1: Anthropic’s August 2025 Benchmark UpdateMatthew Berman · Forward FutureMatthew Berman reviews the model’s reported coding, reasoning and tool-use results, including one benchmark that declined.
1:27:01ENThe $16 Trillion Services Market Is Being Bought, Not Sold To진행자 Nathan LabenzMarc Bhargava of General Catalyst explains how AI-enabled rollups turn low-margin service firms into compounding, software-like businesses.
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