No Priors: Artificial Intelligence | Technology | Startups

→ WHAT IT COVERS Mark Zuckerberg, Priscilla Chan, and Alex Rives discuss the Chan Zuckerberg Biohub's $500 million Virtual Biology Initiative, which combines frontier AI with frontier biology to build hierarchical world models of proteins, cells, and biological systems, releasing all tools as open-source to accelerate scientific progress across the entire research community.

→ WHAT IT COVERS Microsoft Chairman Satya Nadella outlines how the AI platform shift enables every company to operate at the frontier using private evals, open harnesses, and agentic workflows. He covers MAI model training strategy, Azure capacity growth, pricing model evolution, and the rise of the hyper-leveraged generalist engineer replacing narrow specialist roles.

→ WHAT IT COVERS Maxim Bar Kogan, CEO of Onyx Security, explains how his Israel-based startup trains specialized small models to oversee autonomous AI agents in enterprise environments, addressing a security gap that existing identity, endpoint, and API tools cannot fill as agent deployments grow exponentially across Fortune 500 companies. → KEY INSIGHTS - **Enterprise agent breakdown:** In a typical enterprise today, autonomous coding agents like Claude Code and Cursor account for roughly 50%...

→ WHAT IT COVERS Cerebras founder and CEO Andrew Feldman discusses the company's path from a contrarian wafer-scale chip architecture to a $63 billion public company, covering the 2017–2019 technical breakthrough period, the G42 billion-dollar bridge deal, the $20 billion OpenAI agreement, and why inference speed becomes the defining competitive advantage once AI reaches daily utility.

→ WHAT IT COVERS US Under Secretary of State Jacob Helberg explains Pax Silica, a 14-country economic security coalition designed to diversify AI supply chains away from Chinese dominance. The strategy centers on a 4,000-acre economic security zone in the Philippines and private-sector-led industrial partnerships, contrasting directly with China's Belt and Road model.

→ WHAT IT COVERS Long Lake Management CEO Alexander Taubman explains the firm's $6.3B acquisition of American Express Global Business Travel — the first AI-driven take-private — and how their NexSys platform transforms labor-intensive service businesses by boosting productivity, accelerating organic growth from 5% to 20%+, and compounding operational advantages across industries.

→ WHAT IT COVERS Baseten CEO Tuhin Srivastava joins Sarah Guo and Elad to discuss how the AI inference market reached 30x growth in 12 months, why 95% of tokens served run on custom models, how compute scarcity shapes strategy, and what the path from open-source adoption to specialized model deployment looks like. → KEY INSIGHTS - **Custom model adoption:** 95% of tokens served on Baseten run on customer-modified models, not vanilla open-source weights.

→ WHAT IT COVERS SAP CTO Philipp Herzig outlines how the 400,000-customer enterprise software platform is rebuilding its architecture around AI agents, why large language models fail at predictive analytics, and why AI represents a business model transition from seat-based licensing toward consumption and outcome-based pricing models. → KEY INSIGHTS - **Enterprise AI adoption gap:** The gap between AI innovation and actual enterprise outcomes is widening, not narrowing.

→ WHAT IT COVERS ServiceNow CEO Bill McDermott explains why enterprise workflow platforms remain irreplaceable in the AI era, how agentic AI differs from language models, and what enterprise transformation actually looks like across industries — drawing on leadership lessons from running a deli at age 16 through managing a $13B+ platform company. → KEY INSIGHTS - **Platform vs.

→ WHAT IT COVERS Circle CEO Jeremy Allaire explains how USDC stablecoins—backed by short-duration US Treasury bills averaging 13-day maturity—form the financial foundation for an emerging agentic economy, where AI agents transact autonomously at microscale costs, and how Circle's new ARC blockchain is purpose-built for this machine-driven economic infrastructure.

→ WHAT IT COVERS Liam Fedus, co-creator of ChatGPT and former OpenAI VP of post-training, explains how Periodic Labs builds closed-loop AI systems for materials science, combining specialized neural networks, automated experimentation, and large language model orchestration to accelerate physical world discovery across semiconductors, aerospace, and energy sectors.

→ WHAT IT COVERS Andrej Karpathy describes a fundamental shift in software development since December 2024, where AI coding agents replaced manual coding entirely in his workflow. He covers multi-agent orchestration, autonomous research loops, home automation via natural language, open-source model trajectories, robotics timelines, and how education and research organizations must restructure around agent-first paradigms.

→ WHAT IT COVERS Notion Co-Founder Simon Last describes how Notion rebuilt its AI architecture roughly every six months, launched personal and custom agents in 2024, and shifted the engineering role from writing code to managing agents that autonomously execute, verify, and deploy end-to-end tasks across workspaces. → KEY INSIGHTS - **AI Harness Cadence:** Rebuild AI system architecture approximately every six months rather than maintaining a single implementation.

→ WHAT IT COVERS Neil Tiwari of Magnetar Capital, a $22B alternative asset manager, explains how creative debt structures are financing the AI infrastructure buildout — from CoreWeave's early GPU clusters to distributed inference clouds — and why capital structure, not just chips, determines who wins the compute race. → KEY INSIGHTS - **Debt Structure Design:** AI compute financing uses SPV structures where investment-grade customer contracts — from Microsoft, Meta, and similar hyperscalers —...

→ WHAT IT COVERS Elad Gil and Sarah Guo examine whether AI is genuinely killing SaaS or whether market panic is misreading short-term signals. They analyze AI revenue growth velocity, token cost collapse, vendor durability, and how founders should think about exits and defensibility in a rapidly shifting competitive landscape. → KEY INSIGHTS - **SaaS Displacement Reality:** Vibe-coding replacing enterprise software is overstated for large organizations.

→ WHAT IT COVERS Rivian CEO RJ Scaringe explains the company's shift to neural network-based autonomy architecture in 2021-2022, requiring complete hardware and software redesign. He details why vertical integration of perception systems, onboard compute, and data pipelines creates competitive advantage, and argues only three to five companies outside China possess necessary ingredients for autonomous vehicle success.

→ WHAT IT COVERS Roblox CEO Dave Baszucki discusses the platform's twenty-year vision to build the Holodeck, detailing how AI transforms game creation through NPCs trained on 13 billion monthly hours of gameplay data, cloud-connected development tools, and plans to enable 10,000-player multiplayer experiences with photorealistic simulation and acoustic modeling.

→ WHAT IT COVERS Laura Deming, founder of Until, explains how reversible cryopreservation technology works to pause biological time for organs and potentially whole bodies. The company targets organ transplant logistics first, then aims for medical hibernation to bridge patients to future cures, addressing scientific challenges around ice formation and tissue preservation.

→ WHAT IT COVERS MongoDB CEO CJ Desai discusses software durability in the AI era, explaining why platforms outlast products, how Fortune 500 companies approach AI adoption, and why only single-digit software companies exceed $10 billion in revenue. He shares customer insights on coding assistants versus productivity tools and MongoDB's strategy for AI-native applications.

→ WHAT IT COVERS Emil Michael, Department of Defense Under Secretary for Research and Engineering, details his mission to modernize military technology through AI deployment, defense industrial base expansion, and streamlined procurement processes for startups. → KEY INSIGHTS - **GenAI.mil deployment:** Launched AI platform to 3 million DoD employees in 60 days using Gemini, achieving 1 million unique users in 30 days with architected data isolation to prevent information leakage into...