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15:10ENOpenAI’s Drug-Discovery Value Sharing: What Was Proposed and What Remains UnclearMatthew Berman · Forward FutureMatthew Berman examines Sarah Friar’s remarks on licensing, compares research partnerships and considers a speculative future of concentrated AI resources.
2:25:10ENFine-Tuning Isn't Dead — But It Turned a Helpful Model EvilPresenta: Nathan LabenzNathan Labenz on why prompting replaced fine-tuning for most work, what emergent misalignment actually showed, and how he is thinking about jobs, UBI, and AGI.
1:08ENWill AI Change What Programmers Do?Matthew Berman · Forward FutureMatthew Berman responds to Ryan Dahl's prediction about writing code and argues that systems thinking will remain important.
18:33ENOpenAI's Revenue, ChatGPT Go and Ads: A 2026 Strategy AnalysisMatthew Berman · Forward FutureMatthew Berman connects OpenAI’s revenue disclosures, a lower-priced subscription and planned advertising to a wider competition for AI users. The financial estimates and market scenarios are distinguished from company disclosures.
2:15ENElon Musk’s OpenAI Lawsuit: Founding Disputes, Discovery and the 2023 Board CrisisMatthew Berman · Forward FutureMatthew Berman discusses documents in the dispute over OpenAI’s structure, including Greg Brockman’s journal and questions about board governance.
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.
1:02ENA Speed-Reading Display That Shows One Word at a TimeMatthew Berman · Forward FutureA short visual demonstration presents words in rapid succession at increasing displayed speeds.
0:57ENClaude Cowork Brings Agentic Desktop Tasks Beyond CodingMatthew Berman · Forward FutureMatthew Berman describes Anthropic’s January 2026 research preview and its potential for organizing files and producing documents.
1:00ENGemini Personal Intelligence Connects Google AppsMatthew Berman · Forward FutureMatthew Berman explains a January 2026 Gemini beta and the inbox-to-calendar workflow he hopes to use.
1:40:51ENReasoning Models Just Made the Other 80–90% of Enterprise Data UsablePresenta: Nathan LabenzSnowflake VP of AI Baris Gultekin on text-to-SQL, RAG, agent design, and why inference has to run next to governed data.
1:02ENA Chemist's Attempt to Recreate Coca-Cola's FlavorMatthew Berman · Forward FutureMatthew Berman walks through a YouTuber's yearlong attempt to reproduce Coca-Cola. A convincing flavor approximation would not establish that the company's secret formula has been disclosed.
10:16ENMatthew Berman Reviews Disclosures in the Musk–OpenAI LawsuitMatthew Berman · Forward FutureEmails, messages and journal excerpts illuminate disputes over OpenAI’s early direction and the 2023 leadership crisis, while the underlying legal claims remain contested.
1:12ENSAM Audio: Separating a Voice from a Noisy VideoMatthew Berman · Forward FutureIn a Meta-partnered demonstration, Matthew Berman isolates a speaker’s voice and plays the remaining background sound.
1:28ENA Reported Cutoff of xAI's Claude Access Through CursorMatthew Berman · Forward FutureMatthew Berman discusses a report that xAI developers lost Claude access through Cursor and speculates about the competitive motives.
1:30ENAn AI-Generated Proof for Erdős Problem 397Matthew Berman · Forward FutureMatthew Berman discusses Neel Somani's GPT-5.2 Pro-assisted proof and speculates about self-improving AI. Later research found that the problem already had a published human solution.
8:16ENAI and Erdős Problem 397: A Verified Proof, Prior Work and the Prospect of Self-ImprovementMatthew Berman · Forward FutureMatthew Berman discusses AI-assisted mathematics and argues that algorithmic discoveries could accelerate AI development, while the history of problem 397 adds important context.
1:36ENWhy Humanoid Robots Can Move Beyond Human LimitsMatthew Berman · Forward FutureMatthew Berman explains why joints that rotate beyond human ranges could help robots work in factories.
1:47ENTurning 2D Images Into 3D Objects With Meta SAM 3DMatthew Berman · Forward FutureMatthew Berman demonstrates object selection, 3D generation and visual effects in a video made in partnership with Meta.
1:58ENMemory Shortages and Gaming GPU Prices: Nvidia’s Options in 2026Matthew Berman · Forward FutureMatthew Berman discusses rising memory costs and a possible revival of older graphics cards, while separating predictions from Nvidia’s actual commitments.
1:54:30ENFrom One in Ten Cancer Cells to One in a MillionPresenta: Nathan LabenzNathan Labenz's solo AMA updates his son's lymphoma treatment, calls Claude Opus 4.5 software AGI, and ranks the live players of early 2026.
2:01ENA Rumor About OpenAI’s AI Device and Its Possible FormMatthew Berman · Forward FutureMatthew Berman considers a reported pen-like device and speculates about its use alongside a phone.
2:12ENNVIDIA’s Alpamayo and the Promise of Synthetic Data for Autonomous DrivingMatthew Berman · Forward FutureMatthew Berman discusses the CES 2026 announcement and why simulated driving scenarios could help developers train autonomous-vehicle systems.
5:13ENTesting Meta’s SAM Audio: Isolating Voices and InstrumentsMatthew Berman · Forward FutureMatthew Berman demonstrates prompt-based sound separation and effects in a Meta-partnered video.
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