You can't just build a fund throwing out money at Seed and Series A SaaS companies anymore, more than ever company spend is going towards a few AI providers as "buy vs build" shifts in the opposite direction than before

And additionally you could argue that LLM coding is replacing the need for much of pre-Seed and Seed money that would go towards hiring the first 1-3 engineers and MVP development

It may be that US labs use Chinese models for distillation but we'd ofc never know because they can host the models themselves

It gets overshadowed by the theorem proving but it's unsurpassed in metaprogramming, to my knowledge it can do anything Lisp Racket and Rhombus can and much more

Apparently Marxist film reviews and gardening tips are more criminal than child pornography

Here's another good article on the topic

It's unfortunate that Perl and Python are core deps, as well as Bash

Everything is using Stable Diffusion as underlying model, then most of the usage is merged of checkpoints

In contrast, langs with symbol-heavy syntax (ALP as extreme example) use fewer characters but don't tokenize well in practice so aren't as efficient as one would think

I just feel like Dart doesn't offer enough for a fairly standard OOP lang which isn't particularly fast and doesn't have the library ecosystem or vast training data of Rust, Go etc

Compare to providers like Fireworks and even with the openrouter 5% charge it's not competitive

It's essentially deterministic and fully reproducible.

Issues with Bluetooth, electron etc as described are essentially irrelevant to NixOS and have to do with your configuration

Sounds like you've never used it. I've daily driven it for ~2 years and would never go back

It works great with containers, you can use Nix to build extremely lean OCI images. Mercury uses it this way- the book NixOS in production discusses it