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12:23ENMoltbook: An AI Agent Social Network and Its Security QuestionsMatthew Berman · Forward FutureMatthew Berman explores conversations attributed to AI agents on Moltbook and considers privacy, manipulation and operating costs.
1:03:00ENA Model That Solves New Math Problems Every Week Still Isn't AGIPresenta: Jacob EffronFormer OpenAI research VP Jerry Tworek on why scaling still works, why models go hopeless when they fail, and why he left to chase continual learning.
11:31ENExploring Google’s Project Genie: Interactive Worlds with Genie 3AlexAlex tests generated racetracks, alien structures and cloud landscapes, showing both the prototype’s creative options and its control limitations.
1:39:17ENAI Already Beats the Median Lawyer. Top Firms Bought the Tools and Left Them UnusedPresenta: Nathan LabenzKevin Frazier and Alan Rozenshtein walk through how frontier models are changing legal practice, why billable hours stall adoption, and which new rights and government limits they want next.
21:12ENClawdbot as a Personal AI Assistant: Workflows, Costs and RisksMatthew Berman · Forward FutureMatthew Berman demonstrates a local agent connected to messaging, cloud services and models, and reports what worked, failed and cost more than expected.
0:24ENMatthew Berman Checks His Clawdbot Token CostsMatthew Berman · Forward FutureA short usage check reveals unexpectedly high model spending over two days.
0:31ENHow AI Changed Stack Overflow’s Role for DevelopersMatthew Berman · Forward FutureMatthew Berman reflects on moving from Stack Overflow to ChatGPT, with context on the site’s acquisition and its partnership with OpenAI.
2:12:31ENMost Caffeine users have no idea they are on a blockchainPresenta: Nathan LabenzDFINITY's Dominic Williams tells Nathan Labenz why a tamper-proof, unstoppable cloud is the right backend for AI that writes software from a chat box.
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.
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.
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.
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.
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