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Dev Shah

Verified account Resemble AI

@0xDevShah

audodidact | swarms @iaconhq | sim @ newton, mujoco | e/acc | head of devrel @resembleai
Mountain View, CA omnificence.xyz Joined September 2019
755 Following 12K Followers 4.3K Posts

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Dev Shah Verified account @0xDevShah
Introducing Optimus-1, the first swarm harness for autonomous research. Generally available in ArkenOS, starting now.

Optimus-1 lets ArkenOS spawn a swarm that runs the entire discovery loop on hard research problems autonomously. The harness samples the hypothesis space in parallel and works the tails of the distribution, chasing every anomaly until it resolves into an artifact or a discovery. We want every researcher to have a lab of their own, and to see how far their curiosity can go.

Unlike coding agents, Optimus-1 is designed for long-horizon discovery, where most branches fail, and the hard part is knowing which result to believe. It keeps what replicates and keeps pushing past the edge of what's known.

We're still early, but ArkenOS is helping hundreds of teams, from RL environments and data labs to frontier research groups, scale the alpha in their core research.

If you're working on a hard research problem and want to try it, my DMs are open. I'd love to hear what you'd point it at.
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Dev Shah Verified account @0xDevShah
Algorithm pls show this to the best researchers across all frontiers!
Dev Shah Verified account @0xDevShah 5h
In the grand scheme of ASI, I think we're vastly underestimating how much the harness matters. Pi, Codex, Claude Code, Cursor, Droids, and others can all spawn subagents, but spawning more agents doesn't fundamentally change the architecture. It's still a loop delegating work to other loops.

Why is an agent the fundamental unit of intelligence? Why does a swarm need to be a tree of subagents, with a single root deciding what everyone does? We're taking a different path with Optimus-1. The harness should provide the conditions under which new forms of collective intelligence can emerge.

An ecology of agents as the harness itself. Here's a glimpse into our harness!
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Dev Shah Verified account @0xDevShah
I think the bottleneck in swarms is increasingly the models and not the harness. Prompt and Harness engineering for agent ecologies is an entirely new discipline, and I think the models have almost no priors about this new skeleton.

Astra outperforms everything else by a huge margin, but there are reasoning functions like assumption, differentiation, mutualism, adaptation, and other behaviors that models haven't been sufficiently trained on.

I'd love to work with a frontier lab interested in RL directly on our harness. Suspect there's an entire dimension of intelligence that single-agent training never selects for.
Dev Shah Verified account @0xDevShah 5h
In the grand scheme of ASI, I think we're vastly underestimating how much the harness matters. Pi, Codex, Claude Code, Cursor, Droids, and others can all spawn subagents, but spawning more agents doesn't fundamentally change the architecture. It's still a loop delegating work to other loops.

Why is an agent the fundamental unit of intelligence? Why does a swarm need to be a tree of subagents, with a single root deciding what everyone does? We're taking a different path with Optimus-1. The harness should provide the conditions under which new forms of collective intelligence can emerge.

An ecology of agents as the harness itself. Here's a glimpse into our harness!
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Dev Shah Verified account @0xDevShah
a few months ago, i reached out to a few VC friends to raise a small round for the swarm harness. turns out most were more interested in how you build a business around it than what we were actually trying to build. or maybe i just spoke to the less technical ones lol.

anyway, i kept building. fast forward, engineers from 15+ fortune500 companies have signed up for ArkenOS. researchers from startups building their own autonomous labs are using it. we're seeing a couple billion tokens of research activity daily. there's clearly demand. but i'm deliberately not optimizing for enterprise saas economics or short term revenue goals just yet (3 more months).

i want to understand the underlying physics of swarms. collective entropy, emergent specialization, how agents explore the tails of a hypothesis distribution, how knowledge propagates through an ecology, and whether we can get superlinear or better returns on every token spent.

there's probably a very profitable enterprise software company somewhere along this path. but i'd much rather build the machinery that makes an entirely new kind of scientific intelligence possible. sometimes you have to ignore the VC advice and keep building. this is the era where it gets rewarded the most.

if we're right with this, the way humanity explores the realms of knowledge could change quite profoundly.

if you're someone who wants to try or help me, my DMs are open! feedback and help are much needed and appreciated 🙏
Dev Shah Verified account @0xDevShah 5h
In the grand scheme of ASI, I think we're vastly underestimating how much the harness matters. Pi, Codex, Claude Code, Cursor, Droids, and others can all spawn subagents, but spawning more agents doesn't fundamentally change the architecture. It's still a loop delegating work to other loops.

Why is an agent the fundamental unit of intelligence? Why does a swarm need to be a tree of subagents, with a single root deciding what everyone does? We're taking a different path with Optimus-1. The harness should provide the conditions under which new forms of collective intelligence can emerge.

An ecology of agents as the harness itself. Here's a glimpse into our harness!
View quoted post on X