What I find really fascinating here is that obviously openAI, Meta, etc. seem to be structurally incapable of actually innovating at this point.
I mean, reducing training costs by literally an order of magnitude just by writing better software is astonishing and shows how complacent the large corporations have gotten.
Gemma, ollama and many other models are open source too. In fact, deepseeks models are based on Ollama.
Deepseek showed that actually putting thought into the architecture achieves much more than just throwing more hardware at the problem.
This means a) there will be much less demand for hardware, since much more could be run locally on regular consumer devices. And b) the export restrictions don’t really work and instead force China to create actually better models.
That means, a lot of the investments into the thousands of AI companies are in jeopardy.
Yeah, it’s a budget Wurstbrot, but perfectly serviceable.
I’m not talking about deleting anything nix related or downloadable, but development artifacts. Running Docker images, temporary data, services that were started during the development, etc.
That is the opposite of using it once, but using it multiple times a day, because developers often need to switch projects.
Follow up question: do you need to feed one blended billionaire to one unblended billionaire, or would it be sufficient to feed just a certain percentage?
Trans, or LGBT issues in general are used as argumentative shibboleths and rallying points.
In reality, these are non-issues that shouldn’t really concern anyone except those directly affected by them. But the extremists on both sides chose to make them front and center for literally any discussion.
It’s a culture war fueled by a bunch of narcissistic idiots and financed by ghouls who love to see the plebs destroy itself.
And most importantly for me personally: they seem to disregard people using multiple windows.
I rarely work in one window, and having a large screen for only one app is pretty stupid.
Gnome feels like it’s intended for small screen devices like tablets.