I think the above commenter is just pointing out how the fundamental conflict between these two things results in significantly lessened incentive for pharmaceutical companies to put money into researching new antibiotics
As a current researcher in the field I am perpetually annoyed by the overeagerness of AI research to make fantastical claims. Reading and extracting information from papers is a minefield, and we've learned to always at least A/B test the conclusions of any technique that is supposedly proven to be useful. Even foundational papers about basic concepts in LLMs, for example, can sometimes boil down to "this worked well on our cherrypicked tests"
People don't have the time, money, or energy. And they will continue to lose all three until there is no option but to figure out collective organisation
There is almost nothing written for ubuntu that won't work on arch or really most current distros. When I ran arch I did have to get familiar with assumptions people make due to ubuntu, but this would never be more than patching a config file or configuring some environment variable. And those are useful and transferable skills.
Does type theory fit into whatever definition of semantics you're using? It is certainly reaching some incredible heights of usability with tools like Lean and closer to the mainstream with functional languages like Haskell or compilers for Rust. Verification as a topic certainly expands beyond that, 'semantic solving' has been around for a long time and produces some fascinating things
Yes but no. The actual values represented by the quantized bits don't use a representation akin to IEEE floating point, but they are able to act like floating point values due to mathematical transformations during propagation. The floating point values a quantized value corresponds to are chosen using some kind of precomputation depending on the quantization method
Personally I prefer the leetcode UI, but I find that AoC challenges are usually grokkable problems where leetcode seems to require you to have a ton of very bespoke data structure and algorithmic knowledge that simply doesn't have a purpose for me besides doing more leetcode
This kind of post is why I do not understand C++ programmers whatsoever. It's basically a demonstration of the absurd amount of time C++ takes away from you by being the moldy pile of shit that it is. You want better compiler checks and less freedom? Great, me too. Can we please shut the fuck up and use a language that actually supports that?
You can say that about most general purpose compiled languages. I guess I don't see why I would use D for any particular compiled use case over something like zig or rust? and if I just want to script system tasks I'm going to use popular languages with popular libraries and full batteries like python