No Priors

Sarah Guo × Michael Lee

Sequence Holdings is pairing frontier engineering with incumbent advantages, partnering with the Dell family office on its $7.7B acquisition of Baldwin.At BankSouth, average consumer-loan underwriting volume fell 94%, timelines dropped from 30 days to 11, and Q2 loan volume doubled versus Q1 without changed standards.Whether Atlas can repeat that operating leverage depends less on code than on the more difficult human engineering problem.

Sarah Guo × 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.

Elad Gil × Ofir Ehrlich × Gonen 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.

Sarah Guo × 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.

Sarah Guo × Elad Gil

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.

Elad Gil × 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.

Sarah Guo × Andy Fang × Stanley 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.

Elad Gil × Glenn Fogel

Booking’s Penny is emerging as a personalized travel concierge, with adoption reportedly doubling monthly and a stronger long-term opportunity in repairing disrupted itineraries than merely shortening search.The investment test is still unresolved: token costs, routing, conversion, cancellations, loyalty, and lifetime value must justify roughly $700 million of annual multi-initiative spending, while scale remains an advantage rather than a moat.

Sarah Guo × Noam Brown

Noam Brown argues that model quality must be measured as a cost, token, or time curve, because fixed benchmark scores hide gains from test-time compute.Models can keep improving beyond 100 million tokens, while safety policies still lack a clear budget for evaluating cyber, bio, and other dangerous capabilities.Routing and orchestration businesses therefore face a demanding test: outperforming a single stronger model allowed to think longer at the same cost, with gains that transfer beyond benchmarks.

Sarah Guo × Elad Gil × Lip-Bu Tan

Lip-Bu Tan’s Intel turnaround starts with faster accountability, balance-sheet repair and product simplification, while inference and agentic AI could lift CPU demand from one per eight GPUs toward one per four or one per one.Intel Foundry remains a costly trust and supply-chain bet against TSMC, with IP, yield and cycle time as the proof points; its potential may surface around 2030–2032 as packaging, power and materials become harder bottlenecks.