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Gen X got the brunt of that though not millennials. They started phasing out lead in 1973. Autism isn’t a mental disorder and not one linked to lead exposure afaik

Actually the OP is outdated. They rescinded it in order to proceed with the freeze. Or at least that is what they’re claiming even though it doesn’t really even make sense.

Pretty sure Trump said he wanted Zuck executed

I didn’t reference it as a source you need to get a grip lol

It’s as accurate as me roughly working it out would be.

I do know their limitations. They’re data manipulators and interpreters not generators. All the numbers were verified.

Forgot this place was still trying to convince itself ai hadn’t improved since 2021.

Numbers were all verified and referenced. Although some are inherently estimates (# undocumented, etc)

Just done it myself with deepseek. Fed in a list of the executive orders and got it to model scenarios and knock on effects.

That’s worse case, if he manages to deport a significant % of immigrants, retains all funding freezes, doesn’t have anything knocked back in court.

Just realised any tariffs that go into effect are not included in that estimate either.

He’s already said he’s thinking of using the insurrection act to invoke martial law within the next 90 days.

Removed by mod

Same that’s why we organised between the students. Lecturers weren’t handing this out

I have been for years.

And no the choice was status quo genocide enabler and fascist genocide promoter.

My actions are aligned.

Laggy on osx

There was some interesting research on herv-k (part of rccx) being overexpressed in CFS.

https://me-pedia.org/wiki/RCCX_Genetic_Module_Theory

https://bsky.app/profile/ariellaelm.bsky.social/post/3lgll7cz33s2h

This is old news. They said no.

I assumed we were upvoting them to laugh at them.

From someone in the field

It lowered training costs by quite a bit. To learn from preference data (whats termed as alignment with human values), we used a very large reward model as a proxy for human feedback.

They completely got rid of this, hence also the need to have very large clusters

This has serious implications for spending though. Big companies who would have to train foundation models coz they couldnt directly use meta’s llama, can now just use deepseek.

and directly move to the human/customer alignment phase, which was already  significantly cheaper than pretraining (first phase of foundation model training). With their new algorithm, even the later stage does not need huge compute

so they def got rid of a big chunk of compute by not relying on what is called a “reward” model

GRPO: group relative policy optimization

huggingface is trying to replicate their results

https://github.com/huggingface/open-r1

Not gonna watch a 30min video but the title is legit. They’ve wrote books and stuff on it, not really a secret.

https://www.vcinfodocs.com/what-is-the-network-state

edit: actually from the description/timestamps it looks like a good watch.