Data labeling is pretty big industry in some countries and I guess dropping 200 kilodollars on labeling is beyond the reach of most academics, even if they would not care about ethics of that.

my quick read of the process they describe is that first they asked agents to rank files in order of potential to have interesting bugs, then they launch agents for each file in order of "interesting bug potential" and finally launch another agent for verification. (maybe i am mistaken, this is my read of this post https://red.anthropic.com/2026/mythos-preview/ )

it's not clear to me if they made just one pass over each file or made several passes for same file, but regardless, I think if you recreate roughly same process and burn 20000$ on tokens with other reasonably good model, you will find some fancy bugs too.

Not sure how is situation with home installations, factory i work for runs 150kw plant for our own consumption and don't bother with selling, but i know that we can set up how much we want/are allowed to feed back.

How much media can or rather may diverge from state opinion depends country to country.

It's popular because people are exploring "what can i do with compute" once again. React is as meaningless as tickless kernels for vast majority of people.

Should be noted that i am not using any claws. Just a person remembering people spending their nights programming all sorts of psychedelic displays in qbasic with some moving on to asm. Asm for fun.

The only social connection i lost is a person who lives on mastodon now. The rest of people that matter to me are on bluesky now.

For example they can't opt for their comment not to be scraped off HN and used for training.

Are you looking at sentinel 1 or sentinel 2

Not protesting got Americans to this spot.

sincerely a 28 day per year paid vacation enjoyer.

Could be russian. :D We have people living here for 60+ years and cannot speak local language.

could be buzzer perhaps https://en.wikipedia.org/wiki/UVB-76

>Many have compared V3 to GPT-4o and highlight how V3 beats the performance of 4o. That is true but GPT-4o was released in May of 2024. AI moves quickly and May of 2024 is another lifetime ago in algorithmic improvements.

>People could tell scaling wasn't working well before the release of GPT 4.5

Yes, on quick glance it seems so from 2020 openai research into scaling laws.

Scaling apparently didn't work well, so the theory about scaling not working well failed to be falsified. It's science.

I laughed. While there certainly are very smart people here, HN crowd is pretty diverse and large parts of crowd are startup/business/framework of the week/ai bros folks. Not someone who would know what spi is from the top of their head.

In a way there is no avoiding feminism - we are commenting article written by feminist expressing view of some radfems that there can be no consensual bdsm. Your warning has it's own chapter in one of Dworkins books.