No Priors: Artificial Intelligence | Technology | Startups

→ WHAT IT COVERS DoorDash co-founders Andy Fang and Stanley Tang detail how the company is deploying conversational AI commerce and its in-house autonomous delivery robot, Dot, across a network processing 3 billion deliveries annually, revealing data advantages, multimodal fleet strategy, and the operational complexity of scaling physical-world robotics.

→ WHAT IT COVERS Booking Holdings CEO Glenn Fogel discusses how AI is reshaping travel booking across Booking.com and Priceline, covering agentic travel assistants, customer service automation, token economics, competitive durability, and the broader societal implications of AI-driven job displacement across a 25-year company journey. → KEY INSIGHTS - **Agentic Travel Planning:** Priceline's AI assistant "Penny" handles multi-destination, multi-cabin, multi-traveler itineraries including...

→ WHAT IT COVERS Valar Atomics founder Isaiah Taylor explains how his startup became the first private company since nuclear fission's discovery to generate nuclear power, turning on the Ward 250 reactor in Utah in under three years. Taylor outlines why hardware iteration, manufacturing-first design, and DOE regulatory pathways can make energy 10x cheaper.

→ WHAT IT COVERS OpenAI research scientist Noam Brown joins Sarah Guo on No Priors to explain why standard benchmark grids misrepresent modern AI model capabilities, how test-time compute scaling breaks existing safety evaluation frameworks, and what the current ceiling of frontier models actually looks like in practice. → KEY INSIGHTS - **Benchmark evaluation methodology:** Standard benchmark grids comparing models on single scores are misleading because they ignore test-time compute...

→ WHAT IT COVERS Intel CEO Lip-Bu Tan outlines his 14-month transformation plan for Intel, covering foundry strategy, the TerraFAB collaboration with Elon Musk, US government as a shareholder, semiconductor supply chain resilience, and his venture investment framework for identifying bottlenecks across the AI chip ecosystem. → KEY INSIGHTS - **CPU Demand Shift:** The training compute ratio of CPU-to-GPU is moving from 1:8 toward 1:4, potentially reaching 1:1, driven by agentic AI workloads...

→ 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.