Sure, sometimes people get social engineered into taking money from their bank account and giving it to criminals. Should banks stop allowing withdrawals?
Factuality is orthogonal to political leaning generally. People can use the same set of facts and come to very different conclusions. That’s a separate issue from “are these facts correct” and what happens when an individual or entire party starts getting most of their news from highly partisan and unreliable sources.
In most cases it seems (at least to me and colleagues) to be turning out that picking best intelligence is a better option than picking better intelligence / dollar, assuming you can afford the cost. At least on interesting problems. If you’re doing generic web dev work, probably not the case.
The federal government and the executive branch has a well specified set of responsibilities to the people of this country, and they are massively failing at just about every metric. So yes, they are truly incompetent.
To be pedantic, tests prove that the code passes the test suite, nothing else. They do not prove by themselves that the code is correct, secure, maintainable, efficient, etc. Those are much harder to measure and have a ton to do with organization, architecture, culture, shared knowledge of the maintainers, etc. All of which is lacking during and after this rewrite.
I do not work in the space at all, but it seems like Cloudflare has been having more network disruptions lately than they used to. To anyone who deals with this sort of thing, is that just recency bias?
I think both your statement and their statement are too strong. There is no reason to think LLMs can do everything a human can do, which seems to be your implication. On the other hand, the technology is still improving, so maybe it’ll get there.
Never ascribe to malice what can be sufficiently explained by incompetence. And i think it’s fair to say the best and brightest at Google aren’t turning their attention to YouTube lately. Except maybe to make training datasets for Gemini N+1 :)
The unspoken assertion that Rust and Python are interchangeable is pretty wild and needs significant defense, I think. I know a lot of scientists who would see their first borrow checker error and immediately move back to Python/C++/Matlab/Fortran/Julia and never consider rust again.
To be fair, triton is in active use, and this should be even more ergonomic for Python users than triton. I dont think it’s a sure thing, but I wouldn’t say it has zero chance either.
The idea that a GPU is dedicated to a single inference task is just generally incorrect. Inputs are batched, and it’s not a single GPU handling a single request, it’s a handful of GPUs in various parallelism schemes processing a batch of requests at once. There’s a latency vs throughput trade off that operators make. The larger that batch size the greater the latency, but it improves overall cluster throughput.
I work on a team that has actually deployed NN based surrogate models into production in industry. We don’t use PINNs for the simple reason that many industrial scale solvers are solving significantly more complex systems than a single global PDE (at least in CFD, perhaps other areas are simpler). For instance, close to the boundaries, the solver our engineers use uses an approximation that does not satisfy conservation of mass and momentum. So when we try to use physical constraints, our accuracy goes down. Even in the cases where we could technically use PINNs we find they are underwhelming, and spending time on crafting better training data sets has always been a better option for us.
That is what Intel 18A is, no? In some ways it’s worse than N2, and in some ways it’s better. Overall seems comparable to me, and apparently it’s still on track for next year.
Generally the game is created by external forces, not the players. If you’re an independently wealthy individual you can afford to work for pleasure. The rest of us? We like to eat and live in comfortable dwellings and take care of our families, so we play the game of pleasing our superiors in return for the money to live a comfortable existence.
Jax is, as far as an outsider can tell, Google research/DeepMind’s primary computation library now, not Tensorflow. So it’s safer than most Google projects, unless you think they’re secretly developing their third tensor computation library in 10 years (I suppose if anyone was going to do it, it would be Google).