Fugu, and the knife it leaves unwashed
Field notes are where we think out loud about the space we’re building in. First one: the best orchestration paper of the year, and the seam it leaves open.
The name is doing more work than the abstract lets on.
Fugu is pufferfish — the delicacy that kills you if the chef gets it wrong. The toxin sits in the liver and there’s no antidote; in Japan you need a license to serve it. The whole art is technique under a safety constraint. Handle the poison correctly and it’s a delicacy. Handle it wrong and it’s just poison.
Sakana AI’s Fugu report is, genuinely, one of the sharpest arguments we’ve read for the thing we’ve been building toward: that orchestrating a team of frontier models is its own axis of capability — separate from, and complementary to, training bigger models. Fugu learns to route each query to the model best suited for it, and Fugu-Ultra composes whole multi-agent workflows on the fly. The evidence is real: state-of-the-art on agentic coding benchmarks, built entirely by coordinating existing models rather than training a new one.
We agree with almost all of it. Which is exactly why the omission stands out.
What Fugu gets right
Three things the paper nails, and we’d sign our names to:
- Orchestration is a scaling axis. You don’t need the largest training run to reach the frontier if you can identify, combine, and amplify the complementary strengths of models that already exist. Newer models drop into the pool as they ship. This is the whole premise, and Fugu is the strongest public evidence for it so far.
- Specialization is real and fine-grained. One model plans; another debugs; a third does the math. The paper’s best passages are the build-and-debug traces — one model builds, a different model is brought in at the critical moment to refute and expose. That adversarial hand-off is where the gains come from. (It’s also, not coincidentally, a rule we already run: a builder does not get to certify its own build.)
- The synthesizer shouldn’t be fixed. Fugu’s cleverest finding is that most multi-agent systems bottleneck on one hard-wired model doing the final synthesis — so they can never beat that model’s blind spots. Fugu picks the aggregator per task. That’s the right instinct, and it’s on our roadmap too.
If the paper stopped there it would just be a paper we admire. But its own name raises a question it doesn’t answer.
The knife it leaves unwashed
Here’s what stopped us, and it’s an absence rather than a claim. Search the thirty-one pages for sandbox, egress, jail, untrusted — the words aren’t there. Fugu’s orchestrator decides which powerful model touches your repository, your tools, and your environment. What contains that model once it does — the boundary between “it edited a file” and “it exfiltrated your keys” — is simply out of scope. The only isolation the paper discusses is between agents (keeping one worker’s context from biasing another), not between an agent and your machine.
That’s a fair thing to leave out of a research paper about routing. But it’s a striking thing to leave out of a system named after the one dish where containing the toxin is the entire craft. Thirty-one pages on the capability; none on the containment.
That’s not a cheap shot — it’s a real architectural fork, and it’s the one we took the other way. In Corralai, containment isn’t delegated; it is the product:
- Every agent runs in an unprivileged
bwrapjail, credential-less, unable to reach your keys or push anything on its own. - The only way out of the jail is a reviewed pull request — never a write to live storage, never a direct deploy.
- Admin actions and merges pass a human gate. Every action lands in an attributed ledger you can read back.
- Untrusted content is fenced so it can’t reach an authoritative position — and a fooled agent is contained, not trusted.
We’re careful about what that buys you: fencing is hardening, not a guarantee, and we say so on the tin. The point isn’t that Corralai makes a model immune to a bad instruction. It’s that when a model does the wrong thing — and eventually one will — it’s licensed, watched, and boxed. The chef doesn’t get to serve the liver unsupervised.
The deeper divergence
The sandbox gap is the visible one. Underneath it is a philosophical fork worth naming.
Fugu’s orchestrator is a trained black box — a learned head reading the model’s own hidden states to decide who runs next. Impressive, and genuinely hard to build. But you can’t inspect why it routed the way it did, and the thing making the correctness call is itself a learned model.
We drew that line somewhere else on purpose. In Corralai, the correctness gate is deterministic — a mission doesn’t converge until a real, recorded run passes, and no amount of model confidence substitutes for that. The LLMs do the cognition — planning, staffing, re-planning on findings. The gate that certifies the work is not itself an LLM. A judge may not certify herself.
Both systems compose frontier models. Fugu asks you to trust a learned router. Corralai asks you to trust a jail, a gate, and a ledger you can read. Different bets about where the trust should live.
Where the field is heading — honestly
We won’t pretend the roadmap is shipped. But Fugu is strong evidence for exactly where we’ve been pointing:
- An earned model leaderboard. Fugu builds its routing from measured worker performance on verifiable tasks. We already have the hard part — a deterministic gate emitting pass/fail. Turning that signal into a per-role, per-domain earned ranking is a roadmap item, and Fugu says it works.
- A selectable synthesis seat. Picking who closes the work by the shape of the task, instead of a fixed reviewer — the aggregator insight, applied to our reviewer role.
- Re-staffing at phase boundaries. Fugu’s per-step model switching argues against pinning one model to a role for a whole mission. Our two-tier re-planning is the natural place to re-pick.
These are directions, not features. When they ship, they’ll ship the way everything here does: brain-mediated, human-gated, attributed.
The rhyme
We named this thing after a corral for the same reason Sakana named theirs after a pufferfish: both are about containing something powerful and dangerous so it can be useful. A corral holds the herd. A license lets a chef handle the toxin.
The difference is just where you put the fence. Fugu built a brilliant chef and handed him the knife. We built the licensed kitchen first.
Corralai is v0.1, solo-maintained, and public. The security model is documented and the code is on GitHub. Field notes are opinions, not announcements.