I argue there's no difference. At least OpenAI/Anthropic can be considered premium like Octane 93 while OSS ones are 87.

I agree 90% of the world can work with 87 gas, but there's always niche/luxury market where 93 can make small difference.

(edit: typo)

Yes… and as the article says folks are still leaving some work to the big labs. But the big money is to be made at scale and those use cases don’t require OpenAI or Anthropic.

The crazy setup here is that even with that fraction of the pie these companies might be worth say $100 billion optimistically, which would be amazing in normal times. Problem is it’s a train wreck for their investors and the associated debt bubble if they can’t sustain a valuation of 1-2 trillion and the present setup does not put them on a course to that trajectory.

Of course. But that market won’t produce a $800 billion company, unless AI becomes ludicrously widespread — energy is used every day by virtually every person on the planet, and of course has plenty of mass consumption & “luxury” customers too.

I also have some secret recipe finding one class of bugs: https://github.com/tmux/tmux/issues?q=is%3Apr%20author%3Ablm...

curious they're willing to run AISLE on tmux to find more than mine.

https://docs.immich.app/administration/storage-template/ is their best attempt to address your concern, but honestly I'm fine with navigating my photos solely using immich. (with annual backup copy stored in cold cloud storage)

They should not waste their time on curing cancers. They should waste their time winning the stock market - by doing HFT, market making, or whatever. AI please predict butterfly effect and reap all market money!

Surely it will be quite dystopian future - AI will dictate how the money allocated, where there is only one private company left - Anthropic (as per Dario says)

I expect future LLM will refuse to share the reason. "Hey, how did you come up with this idea?" "you have to pay enterprise API to learn this"

(bit sarcastic) Oracle was always all in on Lawyers, right? No software was their first priority.

Now it's steak, tomorrow it can be pasta, next year it can be watermelon kimchi.

Seems like everyone is doing similar... here's mine:

https://github.com/blmarket/hmux

Idea is to keep everything feel same with tmux, just add what's necessary for agent integrations.

The ease of implementation provided by AI tools makes this "work repetition" more likely. Humans are awful at coordination.

I don't think there is a lot test harness, given there is a golden implementation (sqlite3), with clear interface (SQL, and sqlite3 db files). Once you slop crappy implementation, then you can create one group of agents finding gap where slop doing wrong vs golden, and another group of agents filling the gap meeting the conformance.

I assume they did similar, as long as test case(or spec) can be parallelized. Having parallel execution / testing environment is crucial if we need 1000 commits/second throughput.

I would not surprised they have 1+ millions of specs.

I would bet they won't release generated specs - actually this will be a valuable asset like https://sqlite.org/th3.html

Attack is not just on file format itself. Based on the function signature it's possible for a single decoder to generate infinite bytestream - makes a lot of headache to reader implementation - implementing STRLEN is no longer trivial question.

Either engines should put some limit (e.g. VARCHAR(2000) to enforce length to be limited to 2000, but there are some other engines supporting unlimited BLOBs), or decoder should give a hint what is the maximum length it will yield. Unfortunately current research level project does not have such considerations implemented yet...