ehtbanton

5 ms·

1.
LLM is a compiler, not a runtime(getpocketbot.com)
3 points by ehtbanton 5mo ago|1 comments
2.
by ehtbanton 5mo ago
I just don't trust Anthropic's Claude Code team at all any more. Their tools are vibe-coded and their behaviour is anti-consumer. They shouldn't be surprised at the thousands moving to Codex every day.
3.
by ehtbanton 5mo ago
Benchmarks like this one are designed to thoroughly test the model across several iterations. 15% is a MASSIVE discrepancy. Come on Anthropic, admit what you're doing already and let us access your best models unhindered, even if it co
4.
by ehtbanton 5mo ago
This is genuinely very helpful. I'm planning a MacBook pro purchase with local inference in mind and now see I'll have to aim for a slightly higher memory option because the Gemma A4 26B MoE is not all that!
5.
by ehtbanton 5mo ago
This is very impressive, have tried it out. If only everyone was as good at making performant terminal applications (cough cough Anthropic)
6.
by ehtbanton 5mo ago
I've had this thought myself too. Going off on a slight tangent: I think there's also loads of useful stuff in domains like either of these which maps amazingly well to AI agent system design, but there's such a huge discrepa
7.
by ehtbanton 5mo ago
I will always maintain that the best benchmark is just trying it out for yourself. The most practical parallel for me is all the people posting about how some open-source model has "achieved X on Y benchmark - beating out Opus 4.6!&quo
8.
by ehtbanton 5mo ago
Wake me up when Anthropic does something right again...