No Priors: Artificial Intelligence | Technology | Startups

→ 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...

→ WHAT IT COVERS NVIDIA CEO Jensen Huang discusses AI's real-world impact across industries, debunks bubble narratives, explains why open source matters for American competitiveness, addresses China relations, and predicts breakthrough moments for digital biology and robotics in 2026. → KEY INSIGHTS - **AI Job Creation Framework:** Distinguish between job tasks versus job purpose.

→ WHAT IT COVERS Sarah Guo and Elad Gil forecast 2026 AI developments, covering foundation model evolution, robotics deployment timelines, enterprise vertical consolidation, IPO markets, consumer AI products, and defense tech acceleration with predictions from industry leaders. → KEY INSIGHTS - **Enterprise Vertical Consolidation:** AI coding, medical scribing, and legal services consolidate into handful of dominant players in 2026, following pattern where early adoption phase gives way to...

→ WHAT IT COVERS ElevenLabs co-founder Mati Staniszewski discusses building a voice AI company from zero to $300M ARR in three years, spanning creative dubbing tools and conversational agent platforms serving 5M monthly users across enterprise and self-serve segments. → KEY INSIGHTS - **Multi-segment business model:** ElevenLabs splits revenue 50-50 between self-serve creator subscriptions and enterprise sales-led agents platform, serving both individual audiobook narrators and Fortune 500...

→ WHAT IT COVERS Harvey Co-Founder Gabe Pereyra explains how his company scaled from two founders to 500 employees serving nearly 1,000 legal customers, transforming law firm operations through AI-powered workflow automation and enterprise collaboration platforms. → KEY INSIGHTS - **Legal AI Evolution:** Harvey transitioned from individual lawyer productivity tools to team-based workflow systems, focusing on making entire law firms more profitable by solving orchestration, governance, and...

→ WHAT IT COVERS Sunday Robotics co-founders Tony Zhao and Cheng Chi explain how they're building Memo, the first general home robot, using scaled imitation learning with 10 million trajectories collected via custom gloves to achieve dexterous manipulation. → KEY INSIGHTS - **Data Collection Innovation:** Sunday developed three-finger printed gloves with GoPro tracking that enables 500 people to collect robotic training data in real homes without robots present, achieving 10 million...

→ WHAT IT COVERS Benchling CEO Sajith Wickramasekara explains how AI agents can compress drug development timelines from seven to ten years down to two to three years by automating experiments, unlocking institutional memory, and improving molecular design decisions. → KEY INSIGHTS - **Drug Development Cost Structure:** Bringing a medicine to market requires over $2 billion and ten years, with most failures occurring late in clinical trials after hundreds of millions spent, making it harder...

→ WHAT IT COVERS Sridhar Ramaswamy details Snowflake's eighteen-month transformation into an AI-first data platform, launching Snowflake Intelligence as an opinionated agentic system that democratizes enterprise data access through consumption-based pricing rather than traditional seat licenses. → KEY INSIGHTS - **Organizational velocity:** Snowflake collapsed seven to ten specialized layers between engineers and customers into accountable product areas with direct go-to-market alignment,...