Stalemate means Ukraine is fucked because a war of attrition potentially without US support doesn’t look good for them at all
Like, it’s amazing they managed to hold shit together for all this time and all, but damn they’re looking pretty fucked ngl
First, please answer, do you want everything FOSS or are you OK with a little bit of proprietary code because we can do both
Basically? Wartime propaganda
Ukraine has been doing individual, small wins like this and they obviously toot their horn when it happens
But on a large scale, Ukraine has been slowly losing ground
Fuck ClosedAI
I want everyone here to download an inference engine (use llama.cpp) and get on open source and open data AI RIGHT NOW!
OK you walk the walk I respect that
If you could be arsed, it’s entirely possible to train an LLM with 10 PCs using strictly open source and ethical datasets available on huggingface (although not something that is going to beat SOTA models)
That is a one time cost. Do you add the cost of every single watt of electricity ever generated, the cost of making factories, extracting materials and so on, to the “climate impact” of electrical rail service or EVs?
This is just hysteria, I’m going to be absolutely deadass with you
Also, you theoretically could make an LLM entirely on your own PC, it’d just take a bit of time
This is … Incredibly dumb.
The whole climate impact of AI is overstated a million times over. You can run a perfectly capable, GPT 4o destroying LLM on your own GPU right now. What is the difference between jonkling to vidya gaems or running an LLM for doing something productive for a fucking change?
The servers running the network you posted this shit over , the servers used to develop your favorite Gacha coom game, the servers used to deliver your shit ass Xitter feed, or your Netflix garbage, use more power than AI and LLMs are actually actively more productive than that shit
SCMP is one of the most libshit news in China
Also, chill it cracker, it’s news about a reactor, we don’t need your state dept. programming here
It is the united states, people already be living like that before the nukes
Holy fucking shit
How did you find this archeological piece?
Simply, Diffusion models somewhat (and this is extremely hand wavy) work as the “reverse” of an image recognizer.
It is taught the concepts of images through image learning (build neural circuits) to detect image features. Then, you do the reverse, iterate on noise to generate features.
download “LM Studio” and you can download models and run them through it
I recommend something like an older Mistral model (FOSS model) for beginners, then move on to Mistral Small 24B, QwQ 32B and the likes