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17:56ENHow Bridgewater Keeps Its AI Analyst Inside Permission BoundariesNikhil Benesch, Aaron Linsky · turbopufferAaron Linsky and Nikhil Benesch explain why search over an enterprise vault must honor document permissions without sacrificing recall or speed. Their solution combines vector indexing with native filtering to search hundreds of millions of vectors in roughly 120 milliseconds.
13:21ENAdrian Twarog: Giving Enterprise Vibe Coding a Governed Path to ProductionAdrian TwarogA Superblocks walkthrough shows how shared integrations, isolated databases, policy agents and audit logs can bring business-built AI apps under IT oversight.
17:41ENAl Chen: Evidence, Recovery and Data Controls for AI in BanksAl Chen · CiscoA practical discussion of vulnerabilities, disaster recovery and sensitive data in bank AI deployments.
1:17:09EN20VC on Pro Rata Rights, AI Pricing and the Changing Software MarketGuest Jason Lemkin, Rory O’Driscoll · Host Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate investor rights, model economics and the choices facing software companies and their employees.
0:36ENOpenAI Employee Charged in Recording-Device InvestigationMatthew Berman · Forward FutureMatthew Berman discusses the reported discovery of a recording device and OpenAI’s account of its investigation.
1:16:00ENJD Grèze on Building Town and Competing in AI AssistantsGuest Jean-Denis Greze · Host Harry StebbingsTown’s co-founder discusses privacy, model costs, competition and why he prioritizes customer value over token consumption.
20:47ENWhy OpenAI Plans to End Its Direct Model Agreement With CursorMatthew Berman · Forward FutureAfter SpaceX acquired Cursor, OpenAI proposed winding down its model-supply contract. Matthew Berman examines the dispute, competing providers and the risks of relying on another company’s models.
34:51ENGoogle Paid $10 Million for a Bankrupt Airline’s Data. That’s the Moat.Host 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.
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.
31:58ENClaude’s AI Watermarks and the Limits of Detecting Generated ContentTheo Browne · t3.ggTheo Browne examines Anthropic’s marking plans, the challenge of text watermarks, and what signed provenance can and cannot establish.
13:09ENAI News: Ultrafast Inference, Claude Watermarks and New ModelsMatthew Berman · Forward FutureMatthew Berman reviews an ultrafast coding preview, text watermarking, Grok Bot, open-weight models and Computer History.
49:05ENJason Yuan on Hivemind, Social AI and the Risks of Sharing Between FriendsGuest Jason Yuan · Host Ellis HamburgerThe founder describes an AI that asks people in a network for answers, creates opportunities for connection and must navigate imperfect privacy safeguards.
29:32ENTheo on Fable’s Safeguards, Data Retention, and TransparencyTheoTheo examines fallback behavior and an initially undisclosed safeguard, then corrects himself after finding an update and changelog.
2:33:35ENA security researcher audits the AI stack that booked a week of guestsHost Nathan LabenzNathan Labenz walks Daniel Miessler through a 1GB second brain, two named AI employees, and the blast-radius rules that should govern them.
1:08:23ENShiv Rao on Building Abridge, Clinical Workflows and AIGuest Shiv Rao · Host Harry StebbingsThe Abridge co-founder discusses years of market development, model choices, data trust and the limits of automating clinical work.
1:42:41ENTesting AI Reasoning, App Store Lookalikes and the Debate Over AnthropicMatthew Berman · Forward FutureIn a May 2026 livestream, Matthew Berman tests a car-wash prompt, discusses AI subscription limits and considers reported employee monitoring for model training.
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.
1:43:39ENFive Mutations Could Make a 60% Fatal Bird Flu Spread Between PeopleHost Nathan LabenzJohns Hopkins assistant professor Jassi Pannu argues for locking down only the sliver of functional data that teaches models how to make pandemic viruses — and keeping the rest of biology open.
0:44ENMatthew Berman on a DJI Robot Vacuum Security FlawMatthew Berman · Forward FutureA custom controller for a DJI Romo exposed a broader authorization problem involving thousands of devices and sensitive household data.
2:03:56EN260 Doctors and 49,000 Criteria: How OpenAI Built Attending-Level Health AIHost Nathan LabenzKaran Singhal tells Nathan Labenz how ChatGPT Health was evaluated with physicians, walled off from model training, and aimed at raising both the floor and the ceiling of human health.
1:15ENAn OpenClaw Personal CRM for Contacts and Meeting PreparationMatthew Berman · Forward FutureMatthew Berman describes a personal workflow that combines email, calendar events and meeting notes to build contact records and prepare for meetings.
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.
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.
1:18:40ENWhen AI Becomes the Oil Well: Luke Drago on the Intelligence CurseHost Nathan LabenzThe Workshop Labs co-founder tells the FLI Podcast why a world of non-human production could recreate the resource curse — and how private data, open weights, and moonshot careers might still break it.
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