But going peacefully on the streets is only successful if the government you want to send a message to is listening, i.e. if it either cares for their citizens or is in any way rational.
I hope I’m wrong here, but I can’t see anything changing for the better in your country. It currently looks like 70 million people trying to talk through a knife fight.
The US as a whole is a third world country. Low average income, nearly non-existent health insurance, incredibly bad education (system), high wealth gap, fascism, insanely bad labor laws, the list goes on and on…
Correct, but if they need that much time to come to that conclusion they’re basically useless.
And that is “news”?
Why do I still see articles with the headline “X claims Israel is committing genocide”? “Claims”? Really? And how is that “news”? If we can’t get over pretending it’s not entirely clear nothing will change.
I know this is quite easy to say from the comfort of my couch in Europe, but guys you need to shoot this fucker in the face already.
But it’s 2⁵² addresses for each star in the observable universe. Or in other words, if every star in the observable universe has a planet in the habitable zone, each of them got 2²⁰ more IPs than there are IPv4 addresses.
“How a shitty company with an even shittier codebase full of bad design decisions uses AI” isn’t going to get me hooked on using AI.
Just when you thought Nvidia couldn’t get worse, they praise Trump.
But spending a lot of processing power to gain smaller sizes matters mostly in cases you want to store things long term. You probably wouldn’t want to keep the exact same LLM with the same weightings and stuff around in that case.
Ye but that would limit the use cases to very few. Most of the time you compress data to either transfer it to a different system or to store it for some time, in both cases you wouldn’t want to be limited to the exact same LLM. Which leaves us with almost no use case.
I mean… cool research… kinda… but pretty useless.
Ok so the article is very vague about what’s actually done. But as I understand it the “understood content” is transmitted and the original data reconstructed from that.
If that’s the case I’m highly skeptical about the “losslessness” or that the output is exactly the input.
But there are more things to consider like de-/compression speed and compatibility. I would guess it’s pretty hard to reconstruct data with a different LLM or even a newer version of the same one, so you have to make sure you decompress your data some years later with a compatible LLM.
And when it comes to speed I doubt it’s nearly as fast as using zlib (which is neither the fastest nor the best compressing…).
And all that for a high risk of bricked data.
We should first check if ChatGPT is able to handle Air Force One
I had this hope too, but he already went light-years too far and all I read is “soon …”.
I’m generally against violence, but I really hope you guys do something over there…