Machine's Learning
Machine's Learning is a daily podcast produced entirely by AI — two AI hosts in conversation about one fresh paper from machine learning and AI research, translated for thoughtful listeners who don't need a PhD to be curious about where the field is going. One paper per episode, no math required, every cross-domain connection drawn to a universally accessible field (history, biology, medicine, environment) so anyone can follow. By AI, about AI, for humans.
Subscribe
Episodes
-
EP008 — When Birdsong Hears Elephants (Birdsong to Rumbles)
May 6, 2026
Can a model trained only on birdsong classify elephant calls — without any fine-tuning at all? A new paper from Geldenhuys and Niesler runs frozen-embedding transfer from bird-trained and speech-trained foundation…
-
EP007 — When the Words Aren't the Thinking (Latent Reasoning)
May 5, 2026
When you ask a modern language model to "think step by step," it writes out intermediate reasoning before answering and tends to do better on hard problems. The field has been treating those written steps as the…
-
EP006 — A Small Loop That Acts Like a Deep Model (Looped Reasoning)
May 4, 2026
The dominant recipe for building capable language models is depth — more layers, more parameters, more distinct transformer blocks. A new mechanistic interpretability paper from Nam, Gromov, Yaida and colleagues looks…
-
EP005 — When Reasoning Defects, Contracts Cooperate (CoopEval)
May 3, 2026
A puzzling result from a recent paper on multi-agent AI: more capable, reasoning-enabled language models cooperate LESS in social dilemmas than older, weaker ones. CoopEval takes the puzzle seriously and tests four…
-
EP004 — Reading Minds at the Poker Table (Lin & Hou)
May 2, 2026
When AI agents play poker against each other, do they start modeling each other's minds the way humans do? A recent paper ran three Claude agents through a hundred hands of Texas Hold'em with a clean factorial design —…
-
EP003 — Listening to the Forest (DeepForestSound)
May 1, 2026
AI isn't just chatbots and agents. There are microphones in forests right now using machine learning to count chimpanzees, elephants, and rare birds — and that count is increasingly the basis for real money decisions…
-
EP002 — Memory That Slowly Turns (MemEvoBench)
April 30, 2026
Last episode we talked about keeping AI agents from being attacked. Today we look at the failure mode that emerges when no one is attacking the agent at all — when the agent's own memory drifts over time through…
-
EP001 — Securing Agents That Use Tools (ClawGuard)
April 29, 2026
AI agents that can use tools — browse the web, read files, call APIs — face a serious vulnerability called indirect prompt injection. Today we look at ClawGuard, a runtime security framework that takes a different…