We had many customers that would buy a 1 month sub then chargeback the whole amount after using it heavily for a few days or right before renewal, with a nonsense reason like "item not as described" or "unauthorized charge".

We lost every single case.

Some people always want more. And defending against others like that will result in infinite demand.

It seems like an obvious conclusion to me that the end result will be a few AI owners trading among themselves should AI develop in what seems to be likely: recursive self improvement, robotics allowing it to displace manual labor and combat.

Then the owners will be trading for land, AI tech, minerals, energy, which will likely be owned by the other AI conglomerates, and maybe the odd thing that can't be replaced by AI like human entertainers that would make up 1% of the economy.

That is true of basically every single malloc replacement out there, that is not a uniquely defining feature.

Mimalloc made the claim that they were the fastest/best when they released and that didn't hold up to real world testing, so I am not inclined to trust it now.

Last time I checked mimalloc which was admittedly a while ago, probably 5 years, it was noticebly worse and I saw a lot of people on their github issues agreeing with me so I just never looked at it again.

> If AI can't do 100% of a job then you can't remove the job.

> Ah, GPT is right, there is a fatal sign error in the way I tried to handle small primes. There were no obvious fixes, so I ended up going back to Hildebrand's paper to see how he handled small primes, and it turned out that he could do it using a neat inequality ρ(u1)ρ(u2)≥ρ(u1u2) for the Dickman function (a consequence of the log-concavity of this function). Using this, and implementing the previous simplifications, I now have a repaired argument. TerenceTao

Comments URL: https://news.ycombinator.com/item?id=47131047

Points: 42

# Comments: 8

They are not able to comprehend that for anything more complicated than that, the code might compile, but the logical errors and failure to implement the specs start piling up.

Models released a few days ago, Opus 4.6 and GPT 5.3, haven't been tested yet, but given the performance on other micro-benchmarks, they will probably not be much different on this benchmark.

Comments URL: https://news.ycombinator.com/item?id=46928172

Points: 24

# Comments: 10

Testing the top llms on wework, the highest performing one only succeeded with a rate of 2.5%

Can you imagine not being fired when you can only do 2.5% of all tasks?

This study is dated October 30th, very recent.