True breakthroughs sometimes don't need to be publicized—industry insiders naturally understand them.
Sentient's recently launched ROMA falls into this category. The Recursive Open Multi-Agent Architecture demonstrated at the Neural Information Processing Systems conference achieved a 45.6% accuracy rate on the SEAL0 test set, the most difficult in SEALQA—directly pushing the performance ceiling of open-source reasoning models up another notch.
The numbers themselves speak volumes, but more importantly, the technical approach behind it is heading in the right direction. This is not just an improvement in scores, but a breakthrough iteration of the entire reasoning framework.
True breakthroughs sometimes don't need to be publicized—industry insiders naturally understand them.
Sentient's recently launched ROMA falls into this category. The Recursive Open Multi-Agent Architecture demonstrated at the Neural Information Processing Systems conference achieved a 45.6% accuracy rate on the SEAL0 test set, the most difficult in SEALQA—directly pushing the performance ceiling of open-source reasoning models up another notch.
The numbers themselves speak volumes, but more importantly, the technical approach behind it is heading in the right direction. This is not just an improvement in scores, but a breakthrough iteration of the entire reasoning framework.