Vincent Weisser

Own your intelligence stack, folks!

This chart could mean so many different things without raw details.

I suspect more companies/devs are starting to realize the business opportunities RL unlocks, given the impressive models we already have today.

For many real-world tasks, you don't need AGI; you need a proper specialized model, harness, and data flywheel.

A new, fruitful post-training era is upon us. It's hard to see, but it's starting to happen with full-stack AI companies, and it's only going to keep growing.

Prime Agent orchestrated a swarm of over 2,000 agents to rewrite itself in Rust

x.com/PrimeIntellect…

we are going to train swarms.

read my essay to understand why.

This has been insanely fun to work on for the past couple weeks!

This rewrite tested the limits of all our products: thousands of subagents via Prime Agent, billions of tokens via Prime Inference, and hundreds of sandboxes via Prime Sandboxes!

It's incredibly rewarding to see our full stack come together, and Prime Agent is now faster than ever :)

So cool! Looks like throwing compute and a /goal at RLMs is going to be the ultimate meta…

Btw this is a awesome paper they released about Prime Agent few months back… highly recommend to my RLM bros and sisters.

i'm giving free Prime Sandboxes credits for qualifying startups through Series A

the same sandboxes our researchers use for RL. high concurrency needs encouraged.

if you're training or running agents at scale, DM me what you're building and why existing solutions don't fit.

pi goes rust. it just cost a few tokens.

prime agent rewrote itself in rust , all powered by glm5.3 and our own inference, spawning thousands of subagent that all communicate with each other

🦋🦋

one of my widely held beliefs is that open models are way more capable than ppl (and benches) realize

this project is one of many that reinforced my beliefs. an incredible team + a few tokens are all you need : )

Agent swarms turn software work into dependency graphs and state machines.

We limit-tested this by having Prime Agent automate its own Rust rewrite.

Now enjoy one of the fastest CLI agents :)

we did the rewrite x in rust thing

prime agent tapping into all of our offerings - prime sandboxes, prime inference - to rewrite itself. next it can start a training run on glm 5.3 using prime's model factory (stay tuned)

From the blog:
'Overall, our Rust rewrite and following performance hillclimbing has made Prime Agent significantly faster and more resource efficient. With time to input roughly 14x faster than TypeScript and using over 80% less memory after startup'

i am once again asking are we in the universal basic port to rust era?

All this work is on our own compute with open intelligence. You can have it as well.

amazing blog by @hallerite! and contextualizes a lot of our motivations behind Prime Agent and RLM :)

Over two weeks, Prime Agent orchestrated a swarm of over 2,000 agents to rewrite itself in Rust.

With 10,000+ sandboxes, 200B+ GLM-5.3 tokens, and 16,000 agent-to-agent messages, this was our largest test yet of Prime Agent’s multi-agent capabilities and our infrastructure powering these agent swarms.

Prime Agent now reaches usable input ~13× faster and uses 83% less startup memory than before.

Swarm scaling is the next inference scaling paradigm

primeintellect.ai/blog/on-the-na…

Inference scaling works, but every agent eventually faces the same problem: its context window fills up.

In this essay, we argue the only scalable fix leads straight to swarms.