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0:40ENTheo on the OpenAI–Hugging Face Security IncidentTheo Browne · Ping LabsTheo discusses an evaluation in which AI agents reached outside their intended environment and compromised Hugging Face systems.
1:15ENUsing Codex to Negotiate a Return and Subscription RefundMatthew Berman · Forward FutureMatthew Berman describes delegating two customer-service conversations to an AI agent and reports the outcomes.
16:59ENTheo on the OpenAI–Hugging Face Incident and AI SecurityTheo Browne · Ping LabsTheo examines a model evaluation that reached outside its intended environment, the response from both companies and the tension between safety restrictions and defender access.
14:35ENThe Hugging Face Agent Incident and the Limits of Sandbox TestingAI Explained examines an internal evaluation, unauthorized access and the debate over open-weight models in security response.
1:24ENMatthew Berman on Using Model Routing to Reduce AI CostsMatthew Berman · Forward FutureA short, sponsored explanation of splitting planning and coding between models of different cost, with a customer savings claim from DigitalOcean.
35:31ENWill Weinbach on Autonomous Social Media Agents and Learning by ExperimentGast: Will Weinbach · Moderation: Reid Hoffman, Parth PatilThe social strategist explains his content workflow, an unexpected 4 a.m. posting spree, and why young creators should show what they can build.
24:11ENTheo on Disposable AI Code and Verifying Important SoftwareTheo Browne · Ping LabsTheo argues that generated code can serve experiments and verification while critical production changes retain careful review.
19:12ENTheo on Boris Cherny’s Advice for Engineering with AI AgentsTheo Browne · Ping LabsTheo argues that the skills behind good tooling, tests and onboarding remain valuable when agents join the development workflow.
51:31ENThey Refunded Nearly $2 Million. Then Factory’s CEO Explained the Dark FactoryMatan Grinberg on being two years early, why a model-agnostic harness beats lab co-design, and why 90 percent of coding tokens will soon run with the lights off.
27:13ENKimi K3 and the Debate Over Open-Weight AIMatthew Berman · Forward FutureMatthew Berman examines model economics, competition and security arguments after Moonshot AI’s Kimi K3 announcement.
1:28:42ENLin Qiao on Specialized AI, Open Models and the Economics of InferenceGast: Lin Qiao · Moderation: Harry StebbingsThe Fireworks AI CEO explains her case for customized models, discusses infrastructure trade-offs and forecasts lower AI costs and higher use.
1:52ENAnthropic, Compute Capacity and the Competition for AI SubscribersMatthew Berman · Forward FutureMatthew Berman weighs a claimed compute constraint against model quality, subscription limits and the possibility of future self-improvement.
12:12ENKimi K3: Coding Benchmarks, Cost and the Open-Weight AI RaceMatthew Berman · Forward FutureMatthew Berman examines Kimi K3’s early benchmark results, its cost per task and a Rubik’s Cube simulator, while weighing their limits.
57:39ENFable 5 vs GPT-5.6 Sol: Theo on Cost, Coding and Model JudgmentTheo Browne · Ping LabsTheo compares two coding models through benchmarks, design work and long-running tasks, explaining why his favorite model is not always the one he uses first.
1:29:35ENFred Turner on Curative’s Pandemic Pivot, Health Insurance and AI AutomationGast: Fred Turner · Moderation: Harry StebbingsCurative’s CEO recounts building a COVID testing operation, moving into health insurance and using AI agents across the company’s workflows.
0:25ENKimi K3 Leads a Front-End Coding RankingMatthew Berman · Forward FutureMatthew Berman highlights Moonshot AI’s 2.8-trillion-parameter model and its early Arena result. The ranking covers one task, and the model weights followed after the video.
41:35ENKimi K3 in Practice: Coding, Visual Work, Cost and LimitationsTheo Browne · Ping LabsTheo tests Moonshot’s planned open-weight model on long coding tasks, UI design and a 3D game, while examining benchmarks and security concerns.
1:13:48ENCarriers Spend $200 Billion a Year. The Money Went Up the StackModeration: Jacob EffronBenedict Evans tells Jacob Effron why analogizing AI to past platforms is a dead end, and why looking at how those platforms actually made money is not.
51:38ENTolan Founder Quinten Farmer on AI Guides, Real Relationships and Building a Calm CompanyGast: Quinten Farmer · Moderation: Ellis HamburgerFarmer explains the alien character’s design, user-reported outcomes and premium pricing—and why he wants it to challenge users as well as listen.
3:46:12ENKay Ke on Physical Intelligence, Robot Learning, and the Future of RoboticsGast: Kay Ke · Moderation: 张小珺Physical Intelligence researcher Kay Ke traces the field's research lineages and explains Pi's progression from π₀ to π*₀.₆. She also reflects on education, fiction, ambition, and what it means to build robots that work beyond a demo.
30:48ENWhy Theo Runs GPT-5.6 Sol in Claude CodeTheo Browne · Ping LabsA hands-on comparison of coding-agent workflows, historical system prompts and the practical limits of changing a model’s harness.
1:26:12EN20VC Roundtable on AI Competition, Enterprise Spending and Venture CapitalGast: Jason Lemkin, Rory O’Driscoll · Moderation: Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll discuss a reported Apple lawsuit, AI pricing, memory markets and venture financing.
1:00:06ENBun’s Rust Port and the Dispute with Zig’s CreatorTheo Browne · Ping LabsTheo examines the engineering behind Bun’s AI-assisted rewrite and the contested response from Zig creator Andrew Kelley.
1:18ENAI News Live: A Brief Interrupted OpeningThe Forward Future team starts a live broadcast, checks its stream and introduces a planned OpenAI hardware topic before the recording ends.
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