AI Papers:
a deep dive.
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.
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.
Primary sources
Each episode starts from the paper — abstract, methods, results — not secondhand summaries or press releases.
Agentic focus
Curated for engineers and researchers working on agents, reasoning, and the systems that connect them.
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.
Themes
Browse the corpus by theme.
Counts show how many episodes touch each one.
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.