"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

Sam Stephenson, co-founder of Granola, explains how a deliberately minimalist design philosophy helped turn the AI note-taking app into one of the fastest-growing products in the market. He shares why Granola focuses on doing one job exceptionally well, how note sharing drives growth, and what they’ve learned from surprising use cases, recipes, and constant user research. The conversation also cov...

Joseph Nelson, CEO of Roboflow, breaks down the current state of computer vision and why it still lags behind language models in real-world understanding, latency, and deployment. He explains how Roboflow distills frontier vision capabilities into efficient, task-specific models using techniques like Neural Architecture Search and RF-DETR. The conversation covers Chinese leadership in vision, Meta...

This special cross-post from The Intelligence Horizon features Nathan Labenz in a wide-ranging conversation on compressed AI timelines, expert disagreement, and why he believes the singularity is near. They discuss interpretability, RL scaling, and the balance between extraordinary upside, like curing major diseases, and serious existential risks. Nathan explains his evolving p(doom), why he’s sli...

Vijoy Pandey of Outshift by Cisco lays out his vision for an “Internet of Cognition,” where AI agents can share context, build reputation, and collaborate safely at scale. He offers a useful mental model for superintelligence: progress has to scale in two directions — up, through better individual models, and out, through networks of agents and humans thinking together. The conversation explores h...

Karan Vaidya, CTO of Composio, explains how their “smart tool” platform lets AI agents access over 50,000 tools across 1,000+ apps through a single interface. He details how Composio handles tool discovery, authentication, sandboxes, and logging, and how an AI-powered feedback loop continuously improves tools in real time. The conversation explores avoiding model lock-in through robust skills and...

Zvi Mowshowitz returns to survey the current AI landscape, from recursive self-improvement and the shift from the “beginning” to the “middle” of the AI story to what true AI end-game would look like. He and Nathan dig into AI-driven job loss, real-world productivity impacts, and the ethics of trying to escape a “permanent underclass.” They assess today’s AI live players, why Anthropic may be sligh...

This special AI Scouting Report episode from the Law & Artificial Intelligence Certificate Program surveys the current AI landscape for legal professionals. Nathan Labenz walks through the “Good, Bad, and Weird” of frontier models, from using AI to navigate his son’s cancer treatment to emerging forms of deception and reward hacking. He highlights how new systems are pushing the boundaries of math...

Jassi Pannu, Assistant Professor at Johns Hopkins, explains how rapidly advancing AI is transforming biological research and raising the risk of engineered pandemics. They map today’s biosecurity landscape, from pathogen detection and DNA sequencing to vaccine development, and examine how frontier models can already troubleshoot lab work and bypass data safeguards. The conversation introduces a pr...

Jesse Genet shares how she built a team of AI agents to transform homeschooling, family life, and personal productivity without a software background. She explains how agents like an AI chief of staff, curriculum planner, and content creator help design personalized lessons, analyze kids’ learning, manage educational toys, and even run TikTok. The conversation covers practical delegation workflows...

Dan Balsam and Tom McGrath from Goodfire return to explore the frontier of mechanistic interpretability and their new research pillar, Intentional Design. They explain the shift from sparse autoencoders to understanding geometric structure in latent spaces, and share a proof-of-concept method for reducing hallucinations using probes and RL. The conversation tackles concerns about reward hacking, p...

Geoffrey Irving, Chief Scientist at the UK AI Security Institute, explains why our theoretical understanding of machine learning remains fragile even as models surpass experts on critical security tasks. He details AISI’s work on frontier model evaluations, red teaming, and threat modeling across biosecurity, cybersecurity, and loss-of-control risks. The conversation explores reward hacking, eval...

Karan Singhal, Head of Health AI at OpenAI, explains how ChatGPT Health is achieving attending-physician-level performance and already serving hundreds of millions of users. He details how OpenAI works with over 250 doctors, built the 49,000-criteria HealthBench evaluation, and ran one of the first randomized trials of AI copilots in clinical care. The conversation explores privacy and safety safe...

Olive Song from MiniMax shares how her team trains the M series frontier open-weight models using reinforcement learning, tight product feedback loops, and systematic environment perturbations. This crossover episode weaves together her AI Engineer Conference talk and an in-depth interview from the Inference podcast. Listeners will learn about interleaved thinking for long-horizon agentic tasks, f...

Vlad Tenev and Tudor Achim from Harmonic explain how they built Aristotle, an AI system that reaches International Mathematical Olympiad gold-medal performance using formally verified Lean proofs. They unpack the architecture behind mathematical superintelligence, including Monte Carlo Tree Search, lemma guessing, and specialized geometry modules. The conversation explores how verifiable reasoning...

Abhi Mahajan (@owlposting) explains how AI is reshaping biology and medicine, including foundation models to predict cancer treatment response and why he’s both skeptical and optimistic about current results. Helen Toner unpacks CSET’s “When AI Builds AI” report and why automated AI R&D is a major source of strategic surprise. Jeremie Harris then explores our lack of control over superhuman AI sys...

Part 1 of this live special dives into AI for Science, U.S. AI policy, and the behavior of AI agents in open-ended environments. James Zou explains how interpretability and virtual labs of AI agents can accelerate scientific discovery. Sam Hammond assesses the Biden administration’s AI policy, U.S.–Gulf AI deals, and the odds current AIs are conscious. Shoshannah Tekofsky shares insights from stud...

Alexis Carlier, founder of Asymmetric Security, explains how assuming AGI-level intelligent labor should transform cybersecurity from reactive triage to proactive, continuous digital forensics. He breaks down today’s threat landscape—from “spray and pray” cybercrime to nation-state IP theft and North Korean “remote workers.” The conversation explores Asymmetric’s AI agents for deep investigations,...

Blitzy founders Brian and Sid break down how their “infinite code context” system lets AI autonomously complete over 80% of major enterprise software projects in days. They dive into their dynamic agent architecture, how they choose and cross-check different models, and why they prioritize advances in AI memory over fine-tuning. The conversation also covers their 20¢/line pricing model, the path t...

This crossover episode from the Latent Space podcast features Mark Zuckerberg and Priscilla Chan on the 10-year anniversary of the Chan Zuckerberg Initiative and their expanded Biohub vision. They discuss how a “Frontier Biology Lab” working in sync with a “Frontier AI Lab” could enable breakthroughs like a Virtual Cell and true N-of-1 precision medicine. The conversation covers the acquisition of...

Kevin Frazier and Alan Rozenshtein explore how AI is reshaping the legal profession, from “secret cyborg” lawyers using tools like Harvey to the uncertain future of junior associates and access to legal services. They discuss maximalist legal services, AI-written “complete contingent contracts,” and where AI should fall between strict formalism and legal realism, including Claude’s virtue-ethics-i...

Dominic Williams, President & Chief Scientist of the DFINITY Foundation and CEO of Caffeine AI, explains the Internet Computer and his vision of a “sovereign cloud where AI builds the web.” He breaks down core innovations like the Network Nervous System, Motoko, and orthogonal persistence, and how AI coding could remove adoption barriers. The conversation explores unstoppable applications, real-wo...

In this AMA-style episode, Nathan takes on listener questions about whether fine-tuning is really on the way out, what emergent misalignment and weird generalization results tell us, and how to think about continual learning. He talks candidly about how he’s personally preparing for AGI—from career choices and investing to what resilience steps he has and hasn’t taken. The discussion also covers t...

Daniel Miessler shares his Personal AI Infrastructure (PAI) framework and vision for a future where single human owners are supported by armies of AI agents. He explains his TELOS system for defining purpose and goals, multi-layered memory design, and orchestration of multiple models and sub-agents. The conversation dives into cybersecurity impacts, from AI-accelerated testing to inevitable person...

Baris Gultekin, VP of AI at Snowflake, explains how “bringing AI to the data” is reshaping enterprise AI deployment under strict security and governance requirements. PSA for AI builders: Interested in alignment, governance, or AI safety? Learn more about the MATS Summer 2026 Fellowship and submit your name to be notified when applications open: https://matsprogram.org/s26-tcr. He shares the impor...

In this AMA episode, Nathan gives an update on his son Ernie’s cancer treatment and how frontier AI models are helping him navigate complex medical decisions. PSA for AI builders: Interested in alignment, governance, or AI safety? Learn more about the MATS Summer 2026 Fellowship and submit your name to be notified when applications open: https://matsprogram.org/s26-tcr. He reflects on whether Clau...