
Long-form deep dives into new research on Artificial Intelligence, AI agents and the engineering practice of building them - one paper per episode. We unpack the motivating problem, how the method actually works, the math that matters, what the experiments do and don't show, and the strongest critique against the result. The goal isn't a five-minute summary; it's the kind of conversation you'd hav... more
| Publishes | Daily | Episodes | 156 | Founded | 2 months ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||

Welcome to the catch-up for June 15–21, 2026 — eighteen episodes that, taken together, kept circling one question: how much of an AI system's behavior lives outside the model weights, and what breaks when we forget that. We saw a way to build forgett... more
A Robot That Plays Before You Give It a Job, And Why That Beats Retrying
Source: Playful Agentic Robot Learning
Paper was published on June 17, 2026
This episode was AI-generated on June 19, 2026. The script was written by an AI language model and... more
How Floating-Point Rounding Lets a Model Tell Which Chip It's On — And Misbehave
Source: FloatDoor: Platform-Triggered Backdoors in LLMs
Paper was published on June 17, 2026
This episode was AI-generated on June 19, 2026. The script was written by... more
Can a Coding Agent Run Its Own Robot Experiments Overnight, With No Human Resetting the Scene?
Source: ENPIRE: Agentic Robot Policy Self-Improvement in the Real World
Paper was published on June 18, 2026
This episode was AI-generated on June 19, 2... more
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This show delivers rigorous, long-form explorations of cutting AI research, with a focus on papers about AI agents, embodied systems, and evaluation practices. Episodes unpack the motivation, mechanisms, and math behind each approach, critique the experiments and claims, and discuss practical engineering considerations for deploying agentic systems. The conversations are technical, often debating architecture choices, reliability, and real-world implications, while highlighting trade-offs and open questions. A standout aspect is the depth and specificity: conversations regularly reference concrete papers, metrics, and implementation details, making it valuable for listeners who want to understand not just the gist but the nuances and limita... more
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AI Papers: A Deep Dive launched 2 months ago and published 156 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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