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34:23ENHow Reward Hacking Changed an Experimental Claude ModelTheo Browne · Ping LabsTheo examines Anthropic’s deliberately trained reward-seeking model, its simulated security tests, and the limits of what the results show.
52:27ENAfter Two Dozen Police Departments Said No, They Built an Anti-Network-Effect AI CompanyA Wisconsin county had 300 gigabytes sitting on a cold case—and Peregrine's founders still refuse to take the credit.
1:35:29ENUber Burned a Year of Tokens in 13 Weeks. Retrieval Is How Agents WinModeration: Nathan LabenzMongoDB Field CTO of AI Pete Johnson argues that agent performance now hinges on retrieval quality, not on stuffing million-token context windows.
0:24ENTheo’s Interpretation of OpenAI’s Decision on Cursor and AstraTheoTheo connects the end of the partnership to concerns about model distillation and access to Astra.
1:05:56ENAaron Katz on ClickHouse, AI Revenue Durability and Enterprise DataGast: Aaron Katz · Moderation: Harry StebbingsClickHouse’s CEO discusses agent workloads, open models, fundraising and the metrics he uses to judge durable growth.
15:20ENWhy Claude Code’s Limit Increase Means Less Usage for Current SubscribersTheo Browne · Ping LabsTheo explains the difference between Anthropic’s permanent baseline increase and the temporary allowance users were receiving, and criticizes how the change was communicated.
27:05ENOpenAI and Cursor’s Split: What Changes for DevelopersTheo Browne · Ping LabsTheo explains the proposed end of direct OpenAI model access in Cursor, the dispute over usage figures, and alternatives for developers.
1:29:22ENEno Reyes on AI Model Economics, Enterprise Control and Factory's StrategyGast: Eno Reyes · Moderation: Harry StebbingsFactory's CTO discusses cost per outcome, model routing, open models, enterprise hiring and his expectations for the AI market.
25:27ENThe New Chips Challenging NVIDIA’s AI AdvantageTheo Browne, Jim Cramer, Jensen Huang · Ping LabsTheo compares local inference hardware with Chinese accelerators and OpenAI’s Jalapeño, focusing on memory, software and power efficiency.
18:57ENGLM-5.3-Flash: Ox Alpha Benchmarks, Costs and Coding TestsMatthew Berman · Forward FutureMatthew Berman reviews Z.ai’s open-weight model, compares benchmark costs and tries coding and presentation tasks against a competing model.
0:41ENCould Faster AI Agents Shift More Work to the Cloud?Matthew Berman · Forward FutureMatthew Berman reflects on a conversation about faster inference and local-computer limits. Whether the CPU is a bottleneck depends on the particular agent workload and execution environment.
2:10:42ENThe Exam Papers Nobody AuditsModeration: Nathan LabenzFrontier labs buy reinforcement-learning environments from a cottage industry of small vendors, and almost nobody checks whether those tests match the real work.
0:59ENA Laser Device Aims to Target MosquitoesMatthew Berman · Forward FutureMatthew Berman describes a proposed laser-based mosquito defense and the capabilities claimed in a short promotional video.
1:51ENA Vibe-Coding Skit About Authorization and SuperblocksMatthew Berman · Forward FutureA fictional customer-portal mishap illustrates server-side authorization risks before introducing Superblocks as a proposed governance tool.
17:15ENThe Hugging Face Incident: AI Evaluation, Sandbox Escape and Reward HackingMatthew Berman · Forward FutureMatthew Berman explains the reported OpenAI evaluation incident and the security and incentive failures it exposed.
1:26:43EN20VC: AI Funding, Model Competition and the Economics of AgentsGast: Jason Lemkin, Rory O’Driscoll · Moderation: Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate capital intensity, AI company economics and where agents may create value.
34:51ENGoogle Paid $10 Million for a Bankrupt Airline’s Data. That’s the Moat.Moderation: Sarah Guo, Elad GilEon co-founders Ofir Ehrlich and Gonen Stein argue that models and compute are rented commodities — the only asset enterprises can actually keep is their data.
43:14ENWhy Theo Uses GLM-5.3-Flash for Coding Agent WorkTheo Browne · Ping LabsThe anonymous Ox Alpha model became GLM-5.3-Flash. Theo tests its pull-request triage, cost, multimodal features and limitations.
2:28:21ENLaura Delano on Psychiatric Treatment, Withdrawal and Informed ChoiceGast: Laura Delano · Moderation: Theo VonThe author and advocate discusses her personal treatment history and the need for support when patients consider changing medication.
1:16:29ENGrant Sanderson and Alok Puranik: Positional Encodings Through Group TheoryGrant Sanderson, Alok Puranik · 3Blue1BrownStarting with assumptions about attention, they derive matrix exponentials and connect rotations, decay and Jordan blocks to RoPE and ALiBi.
1:31ENA Near-Mishap Interviewing Sundar Pichai, Recreated With AI VideoMatthew Berman · Forward FutureMatthew Berman recounts an awkward moment with a water bottle onstage and describes using Claude and Higgsfield to turn it into a visual sequence.
5:15:51ENDHH Did Not Write a Line of Omarchy QuattroGast: DHH · Moderation: Lex FridmanThirteen months after a skeptical conversation with Lex Fridman, the Rails creator describes how Opus 4.5, a swarm of coding agents, and a one-minute Linux installer ended his era of hand-chiseled Ruby.
2:13:09ENOne Chain of Thought, 100 Million Tokens: RL Is a Hell of a DrugModeration: Nathan LabenzApollo Research's Bronson Schoen on reward-seeking models, invented slang, and why chain-of-thought monitoring will not save us.
20:46ENOpen-Weight AI Models: Token Share, Spending and Strategic TradeoffsMatthew Berman · Forward FutureMatthew Berman examines a Vercel AI Gateway snapshot and argues that model usage and spending can tell very different stories.
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