If I understand correctly, it can play chess and rubic cube better than LLM ? ( may be go too ? )

Can HN have a tag for open-weight vs closed-source models please? The progress is nice, but if it is not released at least in papers or open-weight? These are just ads?

Woof, that page is hard to read. I don't understand what they've done to the way text is rendering but it's not great for my eyes.

If it work as good as they say it does, confidence score + really fast response when you want very fast response, basically.. To me it is a crime against humanity to not open source it. Just get the money from cloud inference and cloud agentic sessions or whatever but open source it. This tech, a good harness, a good model provider, and you have basically a AGI building machine.

What's the difference compared to just taking an embedding and feed forward a simple net trained for the task?

Seems like "some" of LLMs tasks are now Jev tasks.

Can this be used in conjunction with a text-generating LLM for better quality code generation?

The whole page reads like it was vibe-written by an AI. If I'd built something as disruptive as this claims to be, I'd have spent at least fifteen minutes writing the announcement myself. Every time I see 'we' in an announcement like this, I picture one guy alone in his basement.