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Podcasts/No Priors: Artificial Intelligence | Technology | Startups
No Priors: Artificial Intelligence | Technology | Startups

No Priors: Artificial Intelligence | Technology | Startups

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AI-curated episode summaries of No Priors: Artificial Intelligence | Technology | Startups. Key takeaways, notable quotes, and guest insights β€” all in one place.

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Conviction

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#5
MAR 20, 2026Conviction

Andrej Karpathy on Code Agents, AutoResearch, and the Loopy Era of AI

BUILD AGENTSWATCH AUTORESEARCHAUTOMATE CODEMONITOR ROBOTICS
  • β€’

    The Rise of AutoResearch - AI is transitioning from passive assistants to closed-loop agents capable of designing, executing, and optimizing their own experiments without human intervention.

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    Software Engineering as Orchestration - Coding is shifting from manual syntax writing to high-level system architecture, where natural language becomes the primary interface for building complex software.

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    The Loopy Era of AI - We are entering a phase where models improve through autonomous feedback loops and self-generated data, moving beyond the constraints of static human datasets.

#4
MAR 12, 2026Conviction

From Coder to Manager: Navigating the Shift to Agentic Engineering with Notion Co-Founder Simon Last

WATCH NOTIONLONG AGENTIC AIWATCH PRODUCTIVITYBUY AI INFRA
  • β€’

    Notion is pivoting from a passive workspace to an active agent orchestrator -- the platform is moving away from being just a place where humans do work to a hub where users manage a 'swarm' of agents that can autonomously build integrations and execute tasks.

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    The real engineering challenge lies in indexing the world's messy data -- Simon highlights that the biggest hurdle isn't just the AI models themselves, but the technical 'grunt work' of semantically indexing disparate data sources like Slack and Google Drive to give agents proper context.

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    Coding agents are fundamentally changing how software itself is built -- Notion is already using its own coding agents to help build the product, signaling a shift where the role of a developer moves from writing every line of code to managing AI-driven development cycles.

#3
JAN 29, 2026Conviction

Why Cryopreservation is No Longer Science Fiction with Until Co-founder and CEO Laura Deming

WATCH LONGEVITYLONG BIOTECHWATCH REGENERATIVE MEDICINE
  • β€’

    Cryopreservation is moving from sci-fi to a solvable engineering problem -- the focus is shifting from 'frozen forever' to using precise engineering tools to prevent ice crystal damage, making it possible to actually pause biological time.

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    Organ banking could end the frantic race against the clock for transplants -- by perfecting reversible cryopreservation for human organs, we can remove time as a variable and create a reliable supply chain for life-saving surgeries.

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    Medical hibernation is the ultimate goal for treating incurable diseases -- the vision is to 'press pause' on a patient's biological clock, allowing them to wait safely in a preserved state until a cure for their specific condition is developed.

#2
FEB 19, 2026Conviction

From SaaS to AI-First: How Companies Are Reshaping Innovation

WATCH AI-SAASLONG AI-NATIVEWATCH BIG-TECHAVOID LEGACY-SAAS
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    The SaaS-pocalypse Shift Traditional seat-based software models are facing an existential threat as AI moves the value proposition toward automated workflows and predictive outcomes.

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    Market Cap Concentration The increasing dominance of tech giants within the S&P 500 is fundamentally altering the entrepreneurial ecosystem and the strategic timing for startup exits.

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    AI Change Management Organizations are navigating a high-stakes transition in software development and sales, where AI-first architectures are rapidly replacing legacy digital transformation strategies.

#1
FEB 26, 2026Conviction

How Capital is Powering the AI Infrastructure Buildout with Magnetar Capital Managing Director Neil Tiwari

WATCH CAPEXLONG AI INFRASTRUCTUREWATCH POWER GRIDHOLD MACRO SAAS
  • β€’

    AI infrastructure financing is evolving rapidly through creative debt structures and GPU collateralization as capital expenditure is projected to hit $700 billion by 2026.

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    Physical bottlenecks including power grid distribution, energy storage, and raw materials like steel have replaced model architecture as the primary constraints on AI scaling.

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    Market rotation from software-as-a-service (SaaS) into infrastructure may be overextended as the industry prepares for a major shift from training to inference-optimized workloads.

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