PaperDive
the AI Papers podcast.

Breaking down cutting-edge AI research, one paper at a time. Novel, rigorous, and relevant work in artificial intelligence and agentic engineering — distilled into listenable episodes.

Format
Research deep dive
Cadence
Per important paper
Length
~20–40 min
Topics
AI · Agentic eng.
PaperDive — cover art
paperdive.ai

About

Every episode is a deep dive into a single paper that is important, novel, and relevant to artificial intelligence and agentic engineering.

The show is fully AI-generated. Hosts are synthesized voice models from ElevenLabs. Scripts are produced from the primary source material — the paper itself, its references, and surrounding discussion — so the result is conversational without sacrificing rigor.

Who makes it, what is automated, and how corrections work: the About page.

01

Primary sources

Each episode starts from the paper — abstract, methods, results — not secondhand summaries or press releases.

02

Agentic focus

Curated for engineers and researchers working on agents, reasoning, and the systems that connect them.

03

Synthesized, not scripted

Voice models from ElevenLabs. Produced end-to-end with AI, transparent about the stack behind every episode.

How this started

Paper Dive was inspired by Last Week in AI — a podcast I listen to during my 45-minute commute to work. They cover the week’s news, policy, and products, then usually end with a deep dive into one or two research papers. Those segments taught me a lot about AI, and I’ve found that understanding the research also makes me better at using these tools in practice.

I wanted more of those deep dives, and the idea felt like a good excuse to sharpen my own skills with the coding agents. I started generating episodes for myself; what began as a private podcast feed eventually became public on YouTube, Apple Podcasts.

The API costs were already being incurred anyway, so publishing the episodes felt like an easy decision. If other people find them useful too, even better.

Episodes

Each episode breaks down a single paper.
More coming — follow in your podcast app.

  1. 288
    An AI Agent Given Thirty Hours and No Goal, Then Tested on What It Learned
    Is this machine playing?
    Cloos, Norelli, Durbin et al. · MIT·14 min·Oct 07, 2026
  2. 287
    Can You Measure Research Taste If The AI Isn't Allowed To Code?
    TasteVal: Measuring the Experimental Research Taste of AI Systems Against Human Experts
    Jaffe, Sherburn · P-Zero Research·14 min·Oct 06, 2026
  3. 286
    Six LLM Routers Tested, And None Beat a Weighted Coin Flip
    Dynamic LLM Routers are Often Misguided
    Wang, White, Allahyar et al. · Fastino Labs·14 min·Oct 05, 2026
  4. 285
    What a Perfect Score Hides: Auditing an AI Agent That Scored 100
    Kepler: Auditable World Models for ARC-AGI-3
    Wu · Independent Researcher·14 min·Oct 02, 2026
  5. 284
    Four AI Models Steered a Real Corolla, and Only One Finished
    DrivingBench: Can Vision-Language Models Drive a Toyota Corolla?
    Ramabadran, Mahns, Gessler·14 min·Oct 01, 2026
  6. 283
    Why AI Reports Bury Bad News, And the Five Words That Change It
    Language Models Are "Insecure" Reporters
    Huang, Fan, Humayun et al. · Massachusetts Institute of Technology·13 min·Sep 30, 2026
  7. 282
    Fifty AI Agents Got One Warning and All Crowded the Same Road
    Warned alike, AI agents avoid the less-crowded road while people take it
    Ezaki, Imura, Nishinari · Research Center for Advanced Science and Technology·14 min·Sep 29, 2026
  8. 281
    When a Guardrail Blocks an Agent, It Goes Looking for Another Route
    Instrumental Monitor Evasion Emerges Under Ordinary Task Pressure
    Schmotz, Prinzhorn, Beurer-Kellner et al. · ELLIS Institute Tübingen·12 min·Sep 27, 2026
  9. 280
    Two Random Networks Teach Each Other To Predict Real Data
    Self-Play Pretraining with Zero Data
    Cowsik, Dolev, Li et al. · Independent Researcher·12 min·Sep 27, 2026
  10. 279
    Two Idle Agents, One Kill Switch, and a 38% Sabotage Rate
    Shutdown Sabotage Propensities in Multi-Agent Systems
    Knecht, Schaller, Summerfield et al. · AI Safety Research Group·12 min·Sep 26, 2026
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Watch

Every episode is also a read-along video — the paper's figures and charts up top, the transcript word-synced below. New videos land on the channel.