Sarah Guo

Sarah Guo × Vlad Tenev

Agentic Trading has attracted more than 150,000 accounts and about 30 million daily tool calls at the last disclosure; Tenev expects sophisticated users to drive early activity, while infrastructure load remains an open question.Robinhood Chain’s DeFi-enabled stock tokens let developers build stock-linked NFTs and meme-coin pairs, supporting Tenev’s forecast that tokens could become a default route to US equities in underserved countries.

Sarah Guo × Elad Gil × Jake Stauch

Serval is betting that coding agents can loosen ServiceNow’s implementation bottleneck, where workflows can trail business needs by 6–12 months as prices rise.As stronger agents heighten the risks of excessive access, its just-in-time permissions, deterministic approvals and audit trails may become more essential, though safe background autonomy remains unresolved.

Sarah Guo × 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.

Sarah Guo × Elad Gil × George Kurtz

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.

Sarah Guo × Elad Gil × Greg 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.

Sarah Guo × Elad Gil × 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.

Walter Goodwin × Sarah Guo

Fractile is betting frontier inference will be constrained by memory bandwidth and cost, not compute, shifting from SRAM to a DRAM architecture expected to be fully operational in the second half of next year.Goodwin claims 25 times more bandwidth per chip than an HBM-based design, potentially making sparse MoE models economical, while its 150-person team targets a three-to-six-month lead; foundry cycles, ramps, and three-to-five-year amortization remain constraints.

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.

Rene Haas × Elad Gil × Sarah Guo

Arm moved from IP licensing into physical silicon with the Arm AGI CPU after Meta sought a general-purpose agentic CPU no one else could provide.AI reaches 80% to 90% of engineers, while Arm’s documentation and test benches may make proprietary IP more trainable; supply may remain constrained for 3 to 5 years, with data-center construction a possible next bottleneck.

Patrick O'Shaughnessy × Sarah Guo

Sarah Guo says competitive open-source AI is already widespread, so US restrictions could handicap law-abiding American businesses while adversaries ignore them.Her roughly 250-person network sees recursive self-improvement and “some sort of exponential intelligence” as a one-to-two-year possibility, while Sunday Robotics targets home-robot beta by year-end.Compute independence, regulation, and physical supply chains remain constraints, while Chai Discovery’s $10 million contract and customer adoption test AI’s ability to capture value in biology.