https://github.com/Homebrew/brew/tree/main/Library/Homebrew/... for reference

i'm guessing it's accounts they have compromised with the stealer.

They repeat only six sentences during 100+ comments:

Worked like a charm, much appreciated.

This was the answer I was looking for.

Thanks, that helped!

Thanks for the tip!

Great explanation, thanks for sharing.

This was the answer I was looking for.

Over the last ~15 years I have been shocked by the amount of spam on social networks that could have been caught with a Bayesian filter. Or in this case, a fairly simple regex.

It's the bear trash lock problem all over again.

It could be solved by the filter but filter would also have a bunch of false positives

It seems like if the content is this hollow and useless, it shouldn't matter if it was a human or spambot posting it.

Well, large companies/corporations don't care about Spam because they actually benefit from spam in a way as it boosts their engagement ratio

It just doesn't have to be spammed enough that advertisers leave the platform and I think that they sort of succeed in doing so.

Think about it, if Facebook shows you AI slop ragebait or any rage-inducing comment from multiple bots designed to farm attention/for malicious purposes in general, and you fall for it and show engagement to it on which it can show you ads, do you think it has incentive to take a stance against such form of spam

> Well, large companies/corporations don't care about Spam because they actually benefit from spam in a way as it boosts their engagement ratio

I'm not sure that's actually true. It's just that at scale this is still a hard problem that you don't "just" fix by running a simple filter as there will be real people / paying customers getting caught up in the filter and then complain.

Having "high engagement" doesn't really help you if you are optimizing for advertising revenue, bots don't buy things so if your system is clogged up by fake traffic and engagement and ads don't reach the right target group that's just a waste.

Yeah, I almost included that part in my comment, but it still sucks.

It’s only 2 characters - if you use it all the time it becomes muscle memory.

What’s the point of posting vacuous AI comments here?

Back office, employee access is a completely different problem to what is described in the post.

How do you enforce tenant isolation with that method, or prevent unbounded table reads?

They likely don't need tenant isolation and unbound table reads can be mitigated using timeouts.

We do something similar for our backoffice - just with the difference that it is Claude that has full freedom to write queries.

Can Claude drop tables?

RLS...

I mean just use them and compare, the gap is obvious.

I did, and I fixed Qwen's issues with trivial sampling and loop detection hacks.

If I can do this, then a company that wants to sell local models seriously could do it too.

> I did, and I fixed Qwen's issues with trivial sampling and loop detection hacks.

Wow, that's amazing! Care to share the changes? Would love to try them out.

It's not amazing at all.

What's amazing is that LLM technologies are so immature that even basic engineering diligence isn't being done. (Like detecting token loops, for example.)

No it’s not?

Good, Jetbrains desperately need to focus. I love their offerings, but I can see their value rapidly evaporating as Claude code/agents eats their lunch.

Meanwhile you can’t open a project’s git worktree without requiring a full and complete reindex - a complete non-starter in larger monorepos. Their shared index offering is a complete joke, and generally it just feels like the wheels are coming off their product somewhat.

> Fact is that most of the world already gets by with a fraction of the economic data we produce

In terms of absolute number of countries, maybe, but is this accurate out of comparable peer countries?

It’s exactly the same as A/B testing an interface. This is just testing 4 variants of a “page” (the plan), measuring how many people pressed “continue”.