Muse code: https://developer.meta.com/ai/resources/blog/build-with-muse...

> Co-trained with the harness. Muse Code was in the training loop from day one, so tool calls succeed and plans execute cleanly. Crucially, we trained across multiple harnesses, so while the model is at its best in Muse Code, it still generalizes to other coding agents you already use.

Are these not the same apps

Similarly stores with loss prevention guards are probably losing money, but I'd much rather that than having to click a button to unlock items, etc.

Now is that enough revenue to earn back 7B.... I'm not too sure. I guess they're betting realy big that these sorts of model routers will gain explosive token usage in the future

The only downside (and a big one) is that by not being natively offered by OpenAI, Anthropic, etc. you're paying @ API billing and not plan billing, which makes it less appealing. (Of course Manus has a wrapper around this w some token system, but it ends up being expensive)

This truly is a case where AI is the solution. There's no way to automate this at scale with humans. As AI gets better hopefully detection and moderation will catch up

The title makes it sound like they actively seeked to silence a journalist, but nothing in the actual article correlates with that. In fact it's not even the title of the article nor claimed at all in the article.

There's no fancy AI needed to OCR out a 10. It's quite believable at least from Flocks perspective that it's the way the police want it set up. I mean the fact that officers typo'd in the wrong initial value seems to support that.

This is a problem with the cops. Not flock.

Sure for old tasks you could argue that now its not required to boost because infra errors are alleviated with better default limits. My point more so is that its a strange thing to index on because if you wanted to cheat on the benchmark, it does not particularly seem like something that shifts results? Once the API is out maybe I'll eat my words, but I don't really believe that if you manually tried to reproduce the results with lower limits you'd see significantly different results

https://www.anthropic.com/engineering/infrastructure-noise

Is anthropic benchmark maxxing and cheating on terminal bench too? They don't follow the strict resource "limits" either