> By the end of training, the model produces names like "kamon", "karai", "anna", and "anton". None of them are copies from the dataset.

All 4 are in the dataset, btw

You should totally submit that to HN as an article, if you haven't already.

We've put https://news.ycombinator.com/item?id=47205208 in the second-chance pool (https://news.ycombinator.com/pool, explained at https://news.ycombinator.com/item?id=26998308), so it will get a random placement on HN's front page.

This is awesome! Normally I'm pretty critical of LLM-assisted-blogging, but this one's a real winner.

That’s beautifully done, thanks for posting. As helpful again to an ML novice like me as Karpathy’s original.

Great!

really nice, thanks