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17:56ENChildren, AI Sycophancy and Environmental Trade-offsMatthew Berman · Forward FutureMatthew Berman discusses a parent’s objections to a child using AI, then weighs supervised learning, chatbot reliability and data-center impacts.
17:21ENDeepSeek V4, Model Efficiency and the US–China AI DebateMatthew Berman · Forward FutureMatthew Berman examines DeepSeek’s April 2026 V4 preview and argues that efficient open-weight models raise questions for American AI providers and policymakers.
1:11ENAnthropic’s Coding Flywheel and the Compute ConstraintMatthew Berman · Forward FutureMatthew Berman sketches a proposed feedback loop linking coding models, enterprise revenue, data and compute, then argues that capacity could slow it.
3:01:44ENChildren, AI Overuse and a Live Test of ChatGPT Images 2Matthew Berman, Jonah, Brian · Forward FutureMatthew Berman discusses supervision and balance, then tests image generation with maps, math, code and visual prompts.
2:27:51ENTesting Claude Opus 4.7 and Building for an Agent-First InternetMatthew Berman · Forward FutureMatthew Berman tests Claude Design, examines early Opus 4.7 reactions and debugs an experimental agent chat live.
18:07ENClaude Opus 4.7: Benchmarks, Cyber Safeguards and Open QuestionsMatthew Berman · Forward FutureMatthew Berman compares Anthropic’s April 2026 Opus release with the limited Mythos Preview and examines its system card.
0:28ENMatthew Berman on Claude Mythos and Software VulnerabilitiesMatthew Berman · Forward FutureAnthropic reports that its security research model has found serious software flaws; Berman asks what such capabilities mean for the concentration of power.
1:15ENMatthew Berman Reacts to Claude Mythos Preview’s Cybersecurity FindingsMatthew Berman · Forward FutureBerman discusses Anthropic’s reported vulnerability discoveries and warns about their potential implications.
25:15ENMatthew Berman on Claude Mythos, Project Glasswing and AI SecurityMatthew Berman · Forward FutureBerman examines Anthropic’s limited cybersecurity preview and its reported capabilities, then weighs the promise and risks of increasingly capable AI systems.
1:13ENMemPalace Organizes AI Memory With a Palace MetaphorMatthew Berman · Forward FutureMatthew Berman introduces an open-source memory project and its reported retrieval score, while noting that AI memory tools already exist.
1:06ENJourney: Matthew Berman's Registry for Agent WorkflowsMatthew Berman · Forward FutureBerman introduces his project for packaging agent workflows into reusable kits and asks viewers for feedback.
1:59ENHere.now and the Case for Agent-First Web PublishingMatthew Berman · Forward FutureMatthew Berman describes how a publishing service lets an AI agent put content online, and argues that the web is being rebuilt for agents.
30:17ENMarc Benioff on Slack Agents, AI Jobs and Enterprise SafetyMatthew Berman, Marc Benioff · Forward FutureSalesforce’s CEO speaks with Matthew Berman about human oversight, company structure, his account of an attempted OpenAI investment and enterprise agent plans.
1:50:42ENThe Future Live: Open Models, Compute Markets and the Future of Tech MediaMatthew Berman, Nick Wentz, Ben Pouladian, Wayne Nelms, Jayden Clark · Forward FutureMatthew Berman and Nick Wentz speak with Ben Pouladian, Wayne Nelms and Jayden Clark about AI infrastructure, pricing and OpenAI’s acquisition of TBPN.
9:47ENGemma 4: Smaller Open-Weight Models for Local AIMatthew Berman · Forward FutureMatthew Berman reviews Google’s model sizes, multimodal features and reported benchmarks, with an eye toward local agents.
37:23ENMarc Benioff on AI Agents, Human Work and Salesforce’s StrategyMatthew Berman, Marc Benioff · Forward FutureSalesforce CEO Marc Benioff discusses Slack as an AI interface, the limits of agent autonomy, workforce changes and safety with Matthew Berman.
27:15ENMeta-Harness: Searching for Better AI Agent InfrastructureMatthew Berman · Forward FutureMatthew Berman reviews a paper on using a coding agent to iteratively improve model harnesses and discusses its experimental limits.
2:52ENMatthew Berman Ranks Fictional Futures in Film and TelevisionMatthew Berman · Forward FutureA quick, subjective tier list compares science-fiction predictions, from The Matrix and Ex Machina to Her and Black Mirror.
11:15ENARC-AGI-3: Testing How AI Agents Learn the Rules of Unfamiliar GamesMatthew Berman · Forward FutureMatthew Berman explains ARC’s earlier grid puzzles and plays an interactive ARC-AGI-3 level, then examines early model results. The benchmark tests a specific form of adaptation rather than settling whether a system has general intelligence.
2:35ENMatthew Berman’s Microsoft 365 Copilot Business WorkflowMatthew Berman · Forward FutureIn a Microsoft partnership, Berman describes using Copilot for drafting, an initial contract review and workflow automation, and shares his own time estimates.
2:19ENHow Matthew Berman Uses Copilot in His Creator BusinessMatthew Berman · Forward FutureIn a Microsoft partnership, Berman describes using Microsoft 365 Copilot Business for research, sponsor email, and first-pass contract review.
0:49ENMatthew Berman on OpenAI's Sora ShutdownMatthew Berman · Forward FutureA short reaction considers the end of the video app and asks what OpenAI's product focus means for other projects.
1:02ENUse Topic Threads to Keep OpenClaw Conversations FocusedMatthew Berman · Forward FutureMatthew Berman suggests separating subjects into sessions to make an assistant’s conversation context easier to navigate.
1:09ENThe Benefits and Tradeoffs of Running AI Models LocallyMatthew Berman · Forward FutureMatthew Berman weighs the privacy, control and costs of local models against technical complexity and performance tradeoffs.
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