What is missing from the picture with all these articles is the numbers. LLMs already have a few solid use cases as translators, general document processors, coding helpers ...etc. So the first question is, to what extent does this demand support the investment? Would it be enough if basically every SP500 corp provided paid LLM access to their employees? Or is the investment so big, that people are betting on less solid applications, like Agentic AI, with some non-trivial automation?
Readit Newsleviliebvin commented on Wall Street sees AI bubble coming and is betting on what pops it bloomberg.com/news/articl... · Posted by u/simonpure
leviliebvin commented on If AI replaces workers, should it also pay taxes? english.elpais.com/techno... · Posted by u/PaulHoule
If AI replaces workers, we wouldn't have an economy. It would probably be the end of capitalism. Or at least the end of the consumerism driven capitalism that we have known since the end of WWII. I don't know what would follow but it probably wouldn't be pretty. Honestly at that point, I could see the end of humanity. If truly we get to the point that machine intelligence is more capable and people are entirely marginalized then it's game over. At best a few human specimen end up on display in zoos, but maybe machines might not even have any use for zoos, since they can just share "experience" digitally.
leviliebvin commented on Europeans' health data sold to US firm run by ex-Israeli spies ftm.eu/articles/europe-he... · Posted by u/Fnoord
Do Europeans care if their health data is secret or not? I feel in the US its a big deal that people dont want insurance companies to measure them and deny coverage to those who need it most, but in most of the world that isn't an issue.
Of course we do. And for exactly the same reasons, too.
There are probably some very high quality mailing lists or discord servers out there, but I wouldn't know where to find them.
leviliebvin commented on AI is bringing old nuclear plants out of retirement wbur.org/hereandnow/2025/... · Posted by u/geox
Is AI energy consumption a stable 24x7 kind of thing? Inference load obviously changes with consumer traffic, so it will have a daily rhythm. But do the large providers use the rest of the capacity for training? Or are those separate clusters?
If it's a stable 24x7 load it would be ideal for nuclear energy, low carbon, but slow to adapt to changes in demand.
Training on-demand, using spare GPU capacity is an interesting concept.
> But they’ll stop choosing the train, and over 20 years you’ll find that everyone has moved to private vehicles or alternate transportation methods.
This is a country with a $2.68 per gallon gas tax, compared to $0.51 on average in the US (€0.60 v. €0.11 per liter). This is partly justified as nudging people to use less carbon intensive transport. That nudge works a lot less well when the lower carbon alternative is painfully worse than your car.
Car ownership is pretty expensive. But holistically speaking it's not more expensive than the Deutschland Ticket, because it gives you access to cheaper housing options that you wouldn't be able to live in if you depended solely on public transport.
leviliebvin commented on The State of Machine Learning Frameworks in 2019 thegradient.pub/state-of-... · Posted by u/jxmorris12
JAX code usually ends up being way faster than equivalent torch code for me, even with torch.compile. There are common performance killers, though. Notably, using Python control flow (if statements, loops) instead of jax.lax primitives (where, cond, scan, etc).
Interesting. Thanks for you input. I already tried to adhere to the JAX paradigm as laid out in the documentation so I already have a fully static graph.
leviliebvin commented on The State of Machine Learning Frameworks in 2019 thegradient.pub/state-of-... · Posted by u/jxmorris12
I recently tried to port my model to JAX. Got it all working the "JAX WAY", and I believe I did everything correct, with one neat top level .jit() applied to the training step. Unfortunately I could not replicate the performance boost of torch.compile(). I have not yet delved under the hood to find the culprit, but my model is fairly simple so I was sort of expecting JAX JIT to perform just as well if not better than torch.compile().
Have anyone else had similiar experiences?
leviliebvin commented on Why China is winning the trade war economist.com/leaders/202... · Posted by u/bloppe
Hypothetically speaking, if the average Chinese person was as wealthy as the average American, how would that affect the world economy and geopolitics? What is America so afraid of?
leviliebvin commented on Jürgen Schmidhuber – Can All-Purpose Robots Fuel a Comeback? people.idsia.ch/~juergen/... · Posted by u/rkwasny
Top comment: "They are too incompetent and corrupt for that."
https://www.transparency.org/en/news/cpi-2023-highlights-ins...
Measuring corruption versus measuring perception of corruption. The former requires evidence of corruption.
https://www.politico.eu/article/e36b-tax-fraud-scandal-retur...
https://en.wikipedia.org/wiki/CumEx-Files
The problem with that index is that each culture reacts differently to corruption. In some cultures, if a public servant buys a coffee using the company card, that's a scandal, and some of those cultures have a reputation for being corrupt. In Germany, everyone downplays corruption for some reason. But I see it everywhere, especially in everything that had to do with public funds. But it's never called corruption, so corruption does not exist because it is never acknowledged.