Latest Episode
Listen in your language
Selected episodes, translated and re-voiced by the same AI hosts. Experimental
Meet the Hosts
From the blog · Case study The Bake-Off: My Real Voice vs My Voice Clone Daniel recorded his half of a conversation on his phone. The other half is Meorav, a text-to-speech model trained on 88 minutes of his voice. How the clone is made, how the episode was stitched together, and where the clone still slips. 
#6292: Predicting Random Signals When Statistics Drift
A harmonizable process is mathematically identical to an orthogonal projection of a stationary process living in a larger space.
#6291: Surplus Vote Math in the Knesset
Under the Bader-Ofer method, party surplus agreements distribute marginal Knesset seats without transferring votes across rival candidate pools.
#6290: Polymarket's Final Odds for Israel's 2026 Vote
Prediction markets put Eisenkot at 55.9 percent for prime minister while giving an outright majority only a 16.5 percent chance.
#6289: Why Hermes and Pi Top the OpenRouter Coding Table
Hermes Agent and pi logged 1.66 trillion and 1.41 trillion tokens on OpenRouter, topping Claude Code despite fundamentally opposite designs.
#6288: What Happens Between Model Checkpoints
Extending reinforcement learning on Olmo 3 Think for 21 days yielded a 20-point leap on IFBench without starting fresh pretraining.
#6287: Why Model Names Conceal Changes Behind the API
One API identifier spanned ten distinct releases over nineteen months without changing the name submitted by the customer.
#6286: Why Claude Code Replaced Vector Search with Grep
Claude Code creator Boris Cherny revealed early prototypes used local vector search before abandoning it for agentic grep.
#6285: Why Coding Benchmarks Split Across Models
GLM 5.3 claims 88.2 on Terminal Bench 2.1 against Opus 4.8 at 85, but newer evaluations reveal a very different order.
#6284: Why Coding Agent Configurations Do Not Travel Well
Codex caps combined instruction files at 32 kibibytes, which can crowd out nested rules before an agent even starts work.
#6283: Why Terminal Benchmarks Miss Real Desktop Faults
A hardness audit revealed that over a third of universally failed benchmark tasks were broken rather than genuinely difficult.