sudb

One reason I think a distinction is made is that native Docker-in-Docker can be a real pain, but Docker in a Firecracker microVM "just works".

It is now also reasonably straightforward if you have access to frontier LLMs, a recent-ish mac and a recent-ish iPhone to point them at the job of porting a given model to run on the ANE - it's a reasonably easy task to hill-climb at this point!

The underlying model (DFNet3) is not particularly great but it is very small and fast - imo the best commercially usable denoising model is MossFormer2 (no affiliation - it's just excellent) with one drawback in that it can't remove reverb.

Nvidia's RE-USE model can do what MossFormer2 does _and_ can remove reverb, but it is non-commercial licensed.

To add: I doubt frontier labs will build routers - they are not financially incentivized to optimize token usage (though in the short term they may be incentivized by constrained GPU capacity to reduce load).

Obviously not, no need to patronize. Did you read it? It seems to be honest about the numbers but it's pretty skillfully written to reassure.

Absolutely agreed - though the usual claim for coding agents in particular is that they are already very capable and fast, replacing and speeding up software development hugely (anecdotally reasonably true for me and my colleagues, though again depends on domain and complexity).

I was going to say that this surely depends on the type of work being done with AI but then a small dive into your HN profile shows you're working on SWE agents at Google?

I am struggling to reconcile your viewpoint with this but may have found the wrong profile!

Of course, would be happy to!

I don't know that you can trust Google's AI Overview to have accurate knowledge about Google AI Studio internals

very cool! I've been having a fun time porting non-LLM models to iOS/Android (recently had some success with making Bonsai's image generation model run on Android) - have you attempted to run any of the workflows on a mobile device at all? Mind if I try?

I think some of the trouble here is that the application of the law cannot be guaranteed to be free of discrimination or bias, regardless of the letter of the law itself?

I am a native speaker, I agree with this assessment.