And their local AI push (Nemotron, DGI Spark, RTX Spark, Huggingface, ...) is all done to diversify before the crash.
Local AI is constantly getting better, both on server-grade hardware and on hardware regular users can actually own.
In fact, for Nvidia it's better to have a solid standing with consumer-grade local AI. If Anthropic, Google and OpenAI manage to DIY their own AI chips, then Nvidia will lose a large portion of their revenue within a day.
I can run models on my 3yo midrange smartphone. Gemma-4-E2B totally runs on there. Bonsai-8B too. But neither is really good for most tasks.
Heck, "a basic model" even runs locally on the 8MB RAM of an ESP32-S3, but it's utterly worthless at anything.
If you get a bit more into self-hosting AI it quickly becomes obvious that for any actually useful real world tasks you need at least 24GB you can dedicate to the LLM alone, and if this is fully GPU vRAM, the performance is way, way higher than on CPU, even with an NPU.
If you continue down to the section on “digital sentience” you will find other sentences that directly contradict your assertions,
So, then, what are my assertions?
Please read my comments so far carefully. Do not hallucinate. Do not make assumptions that aren't in my text. Do not make mistakes.
Then find those supposed assertions of mine that Wikipedia seems to contradict.
I'm always astonished when there's a discussion about a topic so deep that it's been hotly debated by philosophers for centuries and someone drops in the dictionary definition thinking they solved the whole discourse with a one-liner from the dictionary.
Congrats, you managed to find the dictionary, but didn't even make it to the encyclopedia, let alone the acutal literature.
And now, with just the barest of definition and no deeper knowledge on anything you think you are an expert.
Here, please read at least the wikipedia entry to get a very basic understanding about what the adults in the room are talking about: https://en.wikipedia.org/wiki/Sentience
Sentience is roughly defined as "Line in the sand between humans and things we are allowed to eat".
It's a concept created to justify treating animals differently than humans in a world where the old justification ("You can eat animals because God said so") isn't applicable anymore.
Since the concept is defined backwards to justify preexisting actions, it doesn't have any actually solid definition, and whether something's sentient or not depends pretty much entirely on the opinion of the person deciding it.
I mean, it kinda is.
Lemmy is setup in a way that it totally crumbles at around 100-200k active users. The "every instance replicates almost everything while being legally liable if it doesn't correctly moderate everything" means that it's close to impossible to run a Lemmy instance if there's too many people on the platform.
Reddit has more than one billion accounts and hundreds of millions of active users.
Lemmy physically cannot sustain anything near those numbers. Thus it's kinda hard-coded to prevent it from getting serious astroturfing, for better and for worse.
For comparison: Both the LTT forum and the crackberry forum have more total and more active users than all of Lemmy combined.
Yeah, go tell that to your company's IT department.
That's what WSL is used for: keeping developers somewhat sane in a company that's Windows-only.
Kazaa, LimeWire and similar products were proprietary for-profit software that made money with copyright infringement. LimeWire was opensourced later on.
Only partially helpful. For me, when I open up issues archive.org often only has the first post in the thread. Often the stuff is months outdated.
Don't get me wrong, the Wayback Machine is an incredibly amazing piece of tech and I use it all the time. But it's a less-than-satisfactory replacement for a working Github.
For now.
Nvidia has two massive problems.
That's why they have been at work with local AI for a while. They publish their own open-weights models (Nemotron) and they build comparatively cheap local AI hardware (DGX Spark, RTX Spark).
That way, when the whole AI bubble pops, they still have quite a bit of a foot in the door with customers.