I run Little Snitch[1] on my Mac, and I haven't seen LM Studio make any calls that I feel like it shouldn't be making.
Point it to a local models folder, and you can firewall the entire app if you feel like it.
Digressing, but the issue with open source software is that most OSS software don't understand UX. UX requires a strong hand and opinionated decision making on whether or not something belongs front-and-center and it's something that developers struggle with. The only counterexample I can think of is Blender and it's a rare exception and sadly not the norm.
LM Studio manages the backend well, hides its complexities and serves as a good front-end for downloading/managing models. Since I download the models to a shared common location, If I don't want to deal with the LM Studio UX, I then easily use the downloaded models with direct llama.cpp, llama-swap and mlx_lm calls.
Do you really need Game Theory to figure out you need to build more houses and can't let NIMBY's be in charge of the decisions for where and when that is done?
>Haven't read his book, but the idea that monopolies are good isn't typically made in a vacuum, it's made relative to alternatives, most often "ham-fisted government intervention". It's easier to take down a badly behaving monopoly than to change government, so believing monopolies are better than the alternatives seems like a decent heuristic.
What? How is the first alternative poor government instead of multipolar competing companies? When was the last time a Monopoly was actually broken up in the US? ATT/Bell 50 years ago? lol
>As long as there is a gap between AI and human learning, we do not have AGI.
This is an absurd constraint. You could have a vastly superhuman AI that doesn't learn as efficiently as a human and it would not pass this definition while it simultaneously goes on to colonize the galaxy...
If you read the charter of the eval (or any eval, really), this statement is pretty silly.
The whole point of each eval version is to identify a chunk of challenges that humans do well that AI can't. When AI gets to ~80, you move to the next chunk. When you run out of challenges, you have AGI.
Except you will never run out of challenges and my sense from Chollet has been that every challenge was hinted at being the final one where once beaten AGI would have been created and of course at the end of each one he comes out saying akshuallyyyy this isn't AGI and it wont be AGI until ARC Challenge+1 is beaten!
It's getting pretty old now when Francois Chollet puts out a new ARC challenge, claims definitively that no system is going to crack it without being full blown AGI, the benchmark gets saturated in a few months, he claims the systems definitely aren't AGI then puts out a new challenge that no non AGI system can clear and a few months later.... etc. etc.
Chollet literally never says that. Quite the opposite. He says that AIs are currently abysmally bad at the skills this benchmark tests. An AGI should be able to do this, but doing this doesn't mean it's AGI. He has been very clear about that. I suggest you go back and (re)read the intro ARC-AGI paper.
No system can crack these out of the box (like humans can) because we don't have AGI.
So weird that railing against government overreach is now considered a leftist position when it was a fundamental right position for decades... You could not lick the boot harder if you tried.
This administration has taken grift and corruption to a level only seen in banana republics. I seriously don't know how you come back from this. GOP voters seem to be openly cheering it.
reply