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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. 
#6216: What Do You Call the Middle Tier Model?
Sonnet, Sol, Flash, Medium — the daily-driver models nobody can name, and why they're squeezed from above and below.
#6215: Can Anyone Still Spot an AI Voice?
Clones now pass as human. Generic AI voices still don't. And the detectors? They fall apart in the wild.
#6214: Nobody Trains an Uncensored Model From Scratch
Every "uncensored" model is a renovation, not a new build — and the political lean lives in the agreement layer, not the refusals.
#6213: Ten Weirdest AI Evals Ever Published
A pelican on a bicycle, a badger for Groundhog Day, and a benchmark where passing is the bad outcome — the strangest AI evals ever run.
#6212: Woolly Sedate Snail and Other Model Failures
Most of Hugging Face's 2.96M models sit unread. But the dust has a personality — snails, pirates, and a matchbox that resigns.
#6211: Attention Is Still Winning: The Hybrid Model Census
Mamba layers shipped — inside hybrids. A census of Qwen, Nemotron, Kimi, Granite, and why MiniMax went back to full attention.
#6210: Who Decides If an Election Is Real?
57 countries hold multiparty elections that aren't real contests. So who certifies a vote — and why do clean democracies skip full scrutiny?
#6209: Watching Elections: Who Collects the Numbers, and Why
From CIA tasking orders on France's 2012 race to hedge funds buying private Brexit polls — who watches elections, and what they do with the numbers.
#6208: Israel's 120-Seat Forecasting Ministry
A windowless office, a serious budget, and one job: forecast Israel's 120-seat Knesset as well as it can be done.
#6207: Two WERs, One Model: Inside ASR Eval Harnesses
Same model, same audio, two different word error rates. The gap lives in the normaliser — and that's just layer two of three.