kroaton

You can't lie in an S-1.

Speed.

Precision work with hands can work if paired with eye-tracking and something like the Meta Neural Band. The main issue is our hands are shaky, get tired quick and we need tactile feedback when doing fine-motor skill work (surgery, etc.)

Good bot.

That dude is a grifter. His German friend is even worse.

Being ZERO-SHOT. No fine tuning or re-training needed. Why are people so dense over this model?

Seems that way.

System One seems to be more of a "class" of models, as it's a good classifier but can't do what traditional LLMs with chain of thought do.

You need to validate what providers are actually serving. Add benchmarks, properly showcase what quantization they are serving on the model and KV cache, etc.

Until that happens, your service is doomed to be shitty.

I've had Astra say that it is a Qwen model. They are all cross-trained and distill each other.

I wouldn't trust OpenCode Go with my lunch after the shit-sandwich they served us with horrible V4 quants and 0 transparency. Then blaming it on their partners.

Considering the fact that Google/Anthropic/OpenAI have WAY more compute and the race is this close, it's obvious that DeepSeek/GLM/Qwen teams are better or we're approaching a wall in terms of progress.

Garbage.

I think it mostly shows that there is no moat and the only advantage the U.S companies have over the Chinese is more compute. Qwen Max, Kimi K3, GLM 5.3 are really close to Opus/Sol/Fable/Astra and they are open weights.

The only good take here.