@EXM7777: this new AI research just dropped and it's kind of insane if you use AI agents... a tiny model that can't answer a sing…
Summary
A new AI research paper describes a tiny model that acts as a manager to route tasks to larger models, outperforming frontier models like ChatGPT, Gemini, and Claude on a hard coding benchmark by orchestrating a team of models instead of relying on a single one.
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Cached at: 07/03/26, 12:28 AM
this new AI research just dropped and it’s kind of insane if you use AI agents…
a tiny model that can’t answer a single question just beat ChatGPT, Gemini and Claude at the same time…
let me break down what this means for you:
right now we all do the same thing… we pick the “best” model and throw everything at it
the team behind this research did the opposite
they built a tiny model, small enough to run on your laptop, and gave it one job: be the manager
it never answers anything itself, it just reads your task and decides which big model should handle each piece
picture a conductor in front of an orchestra, they can’t play a single instrument, but they know exactly who should play when
that’s the whole trick
this is how it runs one task:
picks the best model to plan the work picks the best model to do the work picks the best model to check the work loops until the checker signs off
and this is where it gets stupid
the little manager beat every one of those frontier models and set a new record on a hard coding benchmark
then they tried the obvious thing and put a top-tier model in the manager seat instead… and it got worse
so the takeaway is almost annoying in how simple it is: being the smartest in the room doesn’t matter, knowing who to ask does
now the part that changes how you work if you’re in agents every day:
- stop betting everything on one “best” model, a team of models beats any single one of them
- never let a model check its own work, it has the same blind spots it had when it wrote it, so it waves its own bugs right through, use a different one
- the highest-leverage habit you can build is a “check” step before you ship anything, it quietly kills most bad outputs
- the future isn’t one giant brain, it’s a small manager pointing the right models at the right jobs
read the paper here:
@EXM7777 dmd you
@EXM7777 wild! smaller models pulling this off is game-changing. guess size really isn’t everything in AI
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