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Prime Intellect

Prime Intellect

Prime Intellect makes frontier AI training accessible to every company. We operate as both a full-stack platform and an open research lab, enabling organizations to train their own models by directly leveraging our state-of-the-art agentic training infrastructure.www.primeintellect.ai

Search complete. 22 mentions across 10 episodes found for "Prime Intellect".

Oct 26, 2026

Nathaniel WhittemoreHOST
9:45
It scored 64% on their cyber index, 11 percentage points ahead of DeepSeek V4.1 Flash, and only 5 percentage points behind the trusted version of GPT-6 Sol available through their partner program, Daybreak Blue.
Nathaniel WhittemoreHOST
9:56
Eli Bukowski from Prime Intellect explained why this was a positive sign.
Nathaniel WhittemoreHOST
10:00
He wrote, "...one point that was under-discussed in my opinion is that it's the first open lab that is pacing the frontier of open-weight cyber capabilities, which makes it much easier and creates incentives for other labs to make the right decision and do the same when they reach the same level of capabilities." The remaining question is how to set the right level.
Nathaniel WhittemoreHOST
10:16
Underestimated and open models will become useless for defensive cybersecurity, leaving the world relying on US closed labs to spread defensive capabilities quickly, which is not realistic in my opinion, although I obviously wish them to succeed in this mission.
Yacine MahdidHOST
0:08
You can do a real wonder at whatever task you're optimizing for by just tuning a great harness.
Yacine MahdidHOST
0:12
So today we're with Seth Karten, Princeton PhD and researcher at Prime Intellect to talk about Prime Agent, the harness that is taking that idea further down the agentic road.
Yacine MahdidHOST
0:21
If you caught last episode with Alex Zhang on recursive language models, Alex is actually a co-author here of Prime Agent.
Yacine MahdidHOST
0:27
The idea of Prime Agent is that it's a RLM productionized with like two more spicy ideas.

51 MINS LATER

Yacine MahdidHOST
51:29
But it seems that there is going to be some challenges of taking all of these traces and bringing them back to the weights.
Seth KartenGUEST
51:37
Definitely, definitely.
Seth KartenGUEST
51:38
I think that Way of Prime Intellect are really leading how to do this because we care about this and want to support the open source community who obviously cares a lot about that as well.
Seth KartenGUEST
51:49
Model harness co-design is always in the back of our heads when we do this.

Unknown podcast

Israel Votes, Part 6: Asking the Decision Models

Oct 22 · 1 Mention

speaker_4VOICE_ACTOR
9:21
Time for my grim fact.
speaker_4VOICE_ACTOR
9:23
Clef's host, a company called Prime Intellect, was quietly cutting the state down to 16,384 tokens and billing for exactly that many.
speaker_4VOICE_ACTOR
9:33
So the model answered from the first part and never saw the rest, and the people running it only found out later.
speaker_4VOICE_ACTOR
9:39
Anyway, there's a casserole in the oven, and I haven't done your laundry, sweetheart, so tell me when you're coming to visit.
Jason YanowitzHOST
10:55
What were the three AI companies?
Michael DempseyGUEST
10:57
Uh, one is a company called Prime Intellect.
Jason YanowitzHOST
10:58
Oh, yeah, yeah.
Michael DempseyGUEST
10:58
Prime Intellect was, yeah, built around distributed compute initially and does a bunch of stuff for post-training-
Jason YanowitzHOST
11:02
Mm-hmm
Michael DempseyGUEST
11:03
... um, open source models now.
Brendan McCordGUEST
13:55
Mm.
speaker_4HOST
13:55
It's like, you know, Vincent Weiser from, you know, Prime Intellect or Runa Quist from, you know, AI underwriting company- I just met him
Brendan McCordGUEST
14:01
... or Luke Drago.
speaker_4HOST
14:01
He's great.
speaker_4HOST
15:46
Yeah.
speaker_4HOST
15:47
So, um, I'm interested in, like, what are s- some of the ways that, uh, like, founders of today, what do you find inspiring of, like, certain founders that...
speaker_4HOST
15:57
Like, we have Prime Intellect.
speaker_4HOST
15:59
We have, like, uh, Luke Drago of Workshop Labs.
ParzivalHOST
0:55
His claim is that the models are already geniuses, and we have been managing them all wrong.
ParzivalHOST
1:00
[digital sound] Alex Zhang is a second-year PhD student at MIT, and his paper on recursive language models has already been built into Prime Intellect's Agent, into Harvey's legal AI, and into the harnesses people threw at the Arc AGI3 benchmark.
ParzivalHOST
1:18
In April, he and his advisor, Omar Katab, wrote an essay whose whole summary fits in one line: AI models are already good enough for the next leap in capabilities.
ParzivalHOST
1:27
They call it the mismanaged geniuses hypothesis.

20 MINS LATER

Alex ZhangGUEST
21:59
Like there is still an efficiency aspect of, of all of these things that is super, super important.
Alex ZhangGUEST
22:05
[dramatic music] Let's slow down because this is where it gets strange.
Alex ZhangGUEST
22:13
Zhang helped build Prime Agent with the people at Prime Intellect, a harness whose only tool is a Python notebook, and one of its pieces, the continual harness, came from his fellow PhD student, Seth, who built it to get language models to play games.
Alex ZhangGUEST
22:27
So what is the harness allowed to touch? And continual harness is also, by the way, very simple.

Unknown podcast

Cato's Daily 26/10/10 — checkable proofs; virtual cells;…

Oct 10 · 2 Mentions

LaylaHOST
3:29
Someone still has to pay for those calls and inspect what comes back.
CatoHOST
3:31
Then Prime Intellect reports almost the opposite kind of case.
CatoHOST
3:33
More than 2,000 agents over 10,000 sandboxes and more than 200 billion tokens over two weeks to rewrite Prime Agent in Rust.
CatoHOST
3:39
It says the result reaches usable input about 13 times faster and uses 83% less startup memory.
LaylaHOST
3:43
Those output numbers matter.
LaylaHOST
3:45
So does that resource bill? Val's asks what happens on a benchmark run when you add a team.
LaylaHOST
3:49
Prime Intellect describes one large project that produced a working artifact.
LaylaHOST
3:52
Dividing one by the other would give a very confident answer to the wrong question.
Thomas WolfGUEST
4:10
The first reason is you start to have a lot of teams that are doing that for us.
Thomas WolfGUEST
4:15
Our friends at Prime Intellect, their main job is doing that.
Thomas WolfGUEST
4:18
Trajectories, they're basing.
Thomas WolfGUEST
4:21
A lot of teams are starting to help companies doing that.
JimmyHOST
1:04
Let's see what else happened today.
Lina FykeHOST
1:06
Prime Intellect, a company that rents out AI computing power and now serves AI models directly, launched a service called Prime Inference this month.
Lina FykeHOST
1:15
It already handles almost a trillion tokens a day.
Lina FykeHOST
1:17
The chunks of text a model reads and writes, mostly for reinforcement learning and coding agents.
JackHOST
23:13
Has he tried eating bleach? yeah it's fucking crazy dude and dude what's this graphic about sexless adults
Nick SaraevHOST
23:21
oh yeah I mean this guy here was dunking on me he's some he actually is the founder of some company or maybe he works with some company called Prime Intellect which dope name for a business but he was just like kind of parodying me saying I'm not joking when I say this Tinder hinge and dating in general is over porn is now very very good you just don't know it yet because all porn circulating today is from two to three generations ago Pornhub has solved infinite personalized gooning So he was trying to dog on me, right? But I read the post and I was like, well, isn't that exactly what's actually happening right now? It's not solving personalized gooting, but isn't it actually negatively impacting the number of people that are choosing to have sex?
JackHOST
23:59
And then I went and I found
Nick SaraevHOST
24:00
a bunch of stats and

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