tguinot
Whether the goal of those rules is to "inject diversity" or not does not change the racial hierarchy.
There was no mention of any race being inferior to any other in these posts.
The court guessed that this was the man's true belief. Same with the student that got expelled from the US for implying he supports Hamas.
This is not whataboutism: the original comment I replied to was precisely about Brits being afraid of the US government on free speech.
It's a fact, I'm afraid. Disclaimer: I don't even like the guy, he makes money off conspiracy theories about Jewish people. But it's a fact that he got sentenced to prison for saying a journalist is a fat lesbian.
Which is exactly what Trump is ending with DEI ban.
Trump is actually the president that is making institutional racism illegal.
In European countries like France or Switzerland you get sentenced to prison time for describing someone as "a fat lesbian".
Free Speech is much better in the US.
I remember the "gays will be in death camps" from reddit.
They also deny visitors visas of academics on the basis of political views.
The UK is objectively worse.
If you believe there's nearly as many people trying to get out than there is trying to get in, you will be surprised.
The difference (per capita) is a factor of at least 10x
People move east to west across the pond, because they want the life offered by the US economy.
Moreover Claude can explain the functions used very clearly (if you're too lazy to jump to definition in your editor)
LLMs are becoming actually useful to developers new to a language. Just as Google was 20 years ago.
People misusing tools don't make tools useless or bad. Especially since LLMs designers never claimed the compressed information inside models is spotless or 100% accurate, or based on logical reasoning.
Any serious engineer with a modicum of knowledge about neural networks knows what can or can't be done with the output.
I mean if you assume all devs are script kiddies who simply copy paste what they find on google (or ChatGPT without asking for explanations) then yeah it's never gonna be useful in a prod setting.
Also you're very wrong to believe every technical need or combination of libraries has already been implemented in open source before.
They allow me to do much more than that thanks to all the knowledge they contain.
For instance, yesterday I wanted to write a tool that transfers any large file that is still being appended to to multiple remote hosts, with a fast throughput.
By asking Claude for help I obtained exactly what I want in under two hours.
I'm no C/C++ expert yet I have now a functional program using libtorrent and libfuse.
By using libfuse my program creates a continuously growing list of virtual files (chunks of the big file).
A torrent is created to transfer the chunks to remote hosts.
Each chunk is added to the torrent as it appears on the file system thanks to the BEP46 mutable torrent feature in libtorrent.
On each receving host, the program rebuilds the large file by appending new chunks as soon as they are downloaded through the torrent.
Now I can transfer a 25GB file (and growing) to 15 hosts as it is being written too.
Before LLM this would have taken me at least four days as I did not know those libraries.
LLMs aren't just parrots or tab completers, they actually contain a lot of useful knowledge and they're very good at explaining it clearly.