SHOW DIRECTORY
No Priors
Elad Gil and Sarah Guo speak with leading AI engineers, researchers, and founders about model progress, markets at risk of disruption, and how commerce, culture, and society may change.
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Democratizing Security for the Agentic Web with CloudFlare CTO Dane Knecht
Vulnerabilities once seen annually now appear weekly; Knecht expects security to consume most engineering time for 18 months.Cloudflare counters with simpler code, independent reviews and free major-vulnerability protection; its red team may grow from one to four or five by next year’s end.Agent wallets, a stablecoin and its gateway test CPM-priced micropayments, though readiness remains uncertain.
The New Apex Predator: CrowdStrike CEO George Kurtz on Adversaries Armed With AI Agents
AI is flattening attackers’ hierarchy: Kurtz cites 29 minutes on average to move beyond initial compromise, with a fastest observed 27 seconds.CrowdStrike’s AIDR traces agent identities, subagents, tool calls and data access; Kurtz sees agent security as potentially larger than endpoint protection.Kurtz says a leading cybersecurity frontier model probably costs about $10 versus CrowdStrike’s about 3 cents; “low and slow” attacks may be harder to identify.
Revolutionizing Cybersecurity and AI-Driven Science with OpenAI President Greg Brockman
Sarah GuoElad GilGreg Brockman
Brockman says AI is now creating reusable mathematical insight, with almost 400 important open problems solved through unexpected combinations of ideas.Drug development offers the clearest disruption case: a roughly 15-year, $1.5 billion process could accelerate in literature review, simulations, experiments, and regulatory writing, but biological data and long-term outcomes remain constraints.As code approaches near-zero cost, Brockman predicts cybersecurity spending should “far exceed software spending,” while OpenAI’s defender’s window and recurring model-led security testing remain catalysts to monitor.
Beam: The Great American Open Model with ReflectionAI Co-Founder and CEO Misha Laskin
Reflection AI’s Beam makes a differentiated open-model wager: frontier intelligence requires a full-stack lab, evidenced by growth from roughly 30 to 300 people and a 500-billion-parameter model with 23B active parameters.Its claimed three-to-fourfold reasoning efficiency, alongside catch-up costs potentially reaching around $10 billion next year, could support enterprise shifts from renting closed models to owning open deployments once annual spend exceeds roughly $100 million.
Why Diffusion Will Win AI Inference with Inception Co-Founder and CEO Stefano Ermon
Diffusion inference is becoming a commercial signal: at GPT-2 scale, it matched autoregressive perplexity using the same data and parameters while generating text roughly 10x faster.Mercury extends the wedge to production: Ermon says OpenCall moved from Cerebras to NVIDIA GPUs for comparable speed, lower cost, and higher quality, while Inception’s proprietary stack and frontier-intelligence gap remain key tests.
Rethinking Legacy Data Infrastructure with Eon Co-Founders Ofir Ehrlich and Gonen Stein
Elad GilOfir EhrlichGonen Stein
Models and compute have almost zero switching cost; accumulated enterprise data is becoming the moat, underscored by Google’s $10M purchase of bankrupt Spirit Airlines’ data.Eon maps and classifies siloed data, controls sensitive access, and exposes it to AI without compromising production or compliance, while agentic permissions create extreme-velocity ransomware risk and most companies still do not use AI.
Building a $200M Bootstrapped Chess Empire with Chess.com CEO Erik Allebest
Chess.com is on track for a little over $200 million in revenue this year with 10M DAU, 40–50M MAU and 250M+ registered members, achieved without primary capital after a $56K 2005 domain purchase.Cash-flow-funded product and community compounding lifted the baseline through successive demand waves, while the secondary-only CVC deal and General Atlantic reinvestment improved operational maturity.Gambit and the billion-player ambition extend expansion paths, while cheating enforcement and AI governance remain risks to monitor.
Chasing Trillion-Dollar Companies, Founder Ambition, Token Budgets, & Regulatory Capture
Anthropic, OpenAI, and SpaceX’s leap toward $1 trillion is a five-year anomaly, while reaching that scale likely requires $50 billion-$100 billion of revenue with good margins.AI’s opportunity may be far larger than current per-seat models imply, but compute bottlenecks, founder exit timing, recursive-self-improvement uncertainty, and token allocation by return on invested tokens remain decisive constraints.
Building an Autonomous Enterprise for Real-World Services with Netic Founder Melisa Tokmak
Netic has moved beyond call overflow: over 70% of customers are now “Netic first,” with agents determining service urgency, equipment, customer value, and the right worker across essential-service businesses.A $500,000 contract closed end-to-end in 14 days, and Tokmak estimates over $600 million in customer value from AI-handled interactions; the open question is whether vertical orchestration can compound faster than general-purpose labs or services roll-ups.
Building an Autonomous Delivery Experience with DoorDash Co-Founders Andy Fang and Stanley Tang
Sarah GuoAndy FangStanley Tang
Ask DoorDash is shifting demand, with 50% of restaurant-order trajectories reaching new-to-customer venues and grocery baskets roughly 40% larger.DoorDash’s 10 billion delivery history supplies pickup and handoff ground truth for routing DOT, drones and Dashers, but scaling now depends on hardware, operations and supply chains rather than autonomy alone.









