a_wild_dandan

Maybe! It's an untestable thought experiment. The real world adds complications like fearing murder charges.

You are in violent agreement with the comment you replied to.

Guessing SH meant Steven Hawking, who kicked the bucket. Metaphorically.

Maybe everyone will migrate to Hugging Bay for downloading models via torrent?

Wow, you weren't kidding. I looked at their chart, and the cost-per-task for Fable is more than double Sol's. And DeepSeek absolutely stomps. Four cents per-task vs Sol's $1 and Fable's $3.

I might need to check out DeepSeek more. I had no idea the difference was this obscene. Makes me wonder if something's off with the benchmark. A 70x cost reduction vs. Fable seems too good to be true.

solve p=np make no mistakes

Backward compatibility with current meatspace tooling.

You’re not stupid. That’s terrible UX. The button is completely disconnected from its modal, and is placed in a bizarre/nonstandard location.

Speaking of tricks, does anyone here know how many angels can dance on the head of a pin?

Taiwan’s geopolitical position is vastly more complex than the fantasy where invasion would follow merely from fab parity.

> Unlike the previous GPT-5.1 model, GPT-5.2 has new features for managing what the model "knows" and "remembers to improve accuracy.

Dumb nit, but why not put your own press release through your model to prevent basic things like missing quote marks? Reminds me of that time an OAI released wildly inaccurate copy/pasted bar charts.

Businesses do whatever’s cheap. AI labs will continue making their models smarter, more persuasive. Maybe the SWE profession will thrive/transform/get massacred. We don’t know.

No. I like being able to ignore them. I can’t do that if people chop off their disclaimers to avoid comment removal.

Someone will make a killing on a rechargeable version of this. The ergonomics are a good idea.

If the claims in the abstract are true, then this is legitimately revolutionary. I don’t believe it. There are probably some major constraints/caveats that keep these results from generalizing. I’ll read through the paper carefully this time instead of a skim and come back with thoughts after I’ve digested it.