They have no zero data retention commitments anymore though? In fact they have quite the opposite, a direct message of storing prompts since the release of sol (but we wont train on it trust us wink wink)

Not storing prompts but they absolutely can store reasoning traces, summarized or sanitized reasoning traces and the whole LLM output as well.

Billions lost, while waiting for their trillion ipo. Im sure they would manage...

They will, as soon as they get the same proof without it being obvious in the prompts they stole the research

Because your competitor is likely doing the same thing, so they wont even try to call you out. Oh oh or because you're planning the largest IPO in history. The opinions of average people on the paper aren't going to be the ones reflected in the markets...

Where were you seeing those roumors? Care to point to an HN post?

Sure we do, you can follow the weights so to say, to see which data turns out to be more important vs less important for predictions of a higher quality

The alps are shared between Switzerland, Italy and France. You can live in the French alps a lot cheaper than in Switzerland

We are talking about models of the flash size, 100s of billions of parameters, don't listen to the media, size does matter

As the agi nurse fails to wipe his ass the intelligent HN commenter shouted: "You're moving the goalposts. You never said it needs to wipe my ass SUCCESFULLY"

Where are you getting your information from? From all I've seen the RL gives an incremental improvement, most of the capability increase comes from new model architectures (eg the jump from opus to fable is greater than the jump from opus 4.5 to 4.8)