@ptr_to_joel java needed JEP 394, 395, 409, 441 and a decade of "preview features" to arrive at "we have sum types now, please clap."
see you in 2035 for "modern java: we have ownership now (it's a Builder pattern)".
@jdxcode real users don't want primitives they have to compose themselves, they want workflows. nobody's piping gh repo create into anything, so why pretend it needs to be a single-purpose atom? bundling create+wiring+push into one command is just better UX
Dear @elonmusk please, PLEASE for the love of what ever you hold holy to you, disable politicians from being able to turn their comments off or enabling only accounts they allow to comment. We NEED to hold these people to account before things really turn violent.
This deserves its own blog post. Let us know if you ever find the time for it. Curious on what your experiments surfaced. I added read_ref/splice to my own harnesses and it greatly increased m3 and Luna’s performance. It’s similar to hash line but I had sol arrive at it independently. But I gave up on separate tools. I’m testing how far I can get with only sh, prompting and internal harness state
Ox Alpha is a https://t.co/p3agGEwXEx GLM model.
11 tokenizer probes across 10 models. Ox Alpha matches GLM on 11 of 11. No other lab gets past 4. DeepSeek burns 98 tokens on the digit probe where GLM uses 29.
It reads images. GLM 5.3 has no vision endpoint at all. Probably their next release, load-tested early.
https://t.co/4i3M4msE0Z
@teortaxesTex any guesses on why the vision model seems to perform better even on non-vision related tasks? just a later checkpoint in the post-training pipeline?