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They are insane

up to 5 paid max CC accounts per dev currently, can request (and easily get approved) for more if needed

60%+ margin on inference: source ?

+ r&d costs

Of course, if one does not "pay" for investment, benefits are easily made ..


What are the benefits ?

If you give me $1T to spend, I, too, can probably make $14B (this is a metaphor)


Could you describe what is the "fraud" you are talking about ?

Like, if someone stole a credit card and use it to buy stuff ?


Yes, that's considered the merchant's fault by the credit card companies.

But these tourists can be rerouted to visa or mastercard transparently

It works at the moment, here in France, with Swile (for instance)


We have heard that for years

"trust us, it will work soon .. we just need a bit more time and a couple more dozens billions of dollars .. just trust us, bro .."


> We have heard that for years

LLMs have been a thing for about three years now, so you can't have been hearing this for very long. In those three years, the rate of progress has been astounding and there is no sign of slowing down.


And god knows that we have heard that a lot in just 3 years.

This is correct, we see (and have seen before the AI slops) code those quality is not really important

At job, we have a lot of internal web apps coded like hell : "people just have to reload the page ..": this is lame

On the other hand, on many situations, when people are faced with something that works, that is well designed and well executed, it's a breath of fresh air and they do notice and they do note that "that team is not like the others" (even if they cannot always pinpoint the "why")

High quality work also leads to higher velocity, low/no regressions etc

Management does notice, product owner do notice


Reproductible builds are a thing (that are used in many many places)

Checking the list of issues on github is required

https://github.com/anthropics/claudes-c-compiler/issues


I'd really recommend not. It's 75% one guy running AI agents talking like it's his project, 24% shitposting about AI, and 1% anything else.

You'll get a much better view about what it does and doesn't do by spending same amount of time looking at it yourself and maybe trying to take that back to the comments here where there is a decent chance at least a massively larger portion of the comments aren't bots or memes.


Which says a lot ..

Any way, for what it's worth, I tried it, using a random code; Unable to compile; Does not support c17, apparently;

Please take the time to run llvm's test suite with it and share the results !

(but it does not really matter)

edit: it does not matter because we'd need something new or something better; It fails on both accounts;


Despite your objection to looking, I did. What you're saying doesn't seem to check out. For example, hellow world not compiling seems like a significant issue and at first glance seems genuine even if there is some anti ai banter in the thread.

Between all of the "banter" (which is from more than just the anti-AI folks) you may not have caught I was one of the first 10 comments on that very issue 3 days ago https://github.com/anthropics/claudes-c-compiler/issues/1#is.... Not to imply there are no issues or it's a good compiler, the README.md says as much, but I found in practice you can get to CCC compiling a version of the Linux kernel in the amount of time it takes to go through that thread about hello world.

Of course - you do you, not everyone is the same. If that kind of discussion piques your interest or feels easier to consume then there is plenty more to be found there. At least that guy's bot spamming 75% of the issues board has closed them all now (though the comments are still there in responses other issues) so it's a little cleaner.

N.b. for anyone seeing "root@main" in the above link - that's just an ephemeral rootless container instance on a dev VM host from a template named "main" I spun up to mess with CCC. I.e. "don't let the prompt imply I recommend using actual root on your actual main box to do much of anything, let alone run random projects from GitHub" :).


Looks ready for production. /s

Knowing the inner working of a complex system is a hard requirement of its testing.

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