Verifiable data for
recursive self-improving AI
Verifiable data for recursive self-improving AI
Backed By
Jigsaw is a data research lab focused on recursive self-improvement. We research and develop rigorous methods for turning AI R&D into post-training artifacts that advance self-improving systems at frontier research labs.
We believe RSI to be the most impactful technology of our time.
Our work makes it verifiable and accelerates the discoveries that follow.
We believe RSI to be the most impactful technology of our time. Our work makes it verifiable and accelerates the discoveries that follow.
Frontier data for RSI,
the fastest path to superintelligence.
Our bet is that AI research is a verifiable problem. Its gains compound on what can be measured, and the labs that measure their research best accelerate the loop.
We render frontier AI R&D into gradeable tasks, and develop rigorous methods to qualify verifier quality and confirm the artifacts measurably improve frontier models.
We render frontier AI R&D into gradeable tasks, and develop rigorous methods to qualify verifier quality and confirm the artifacts measurably improve frontier models.
Frontier data for RSI, the fastest path to superintelligence.
Our bet is that AI research is a verifiable problem. Its gains compound on what can be measured, and the labs that measure their research best accelerate the loop.
We render frontier AI R&D into gradeable tasks, and develop rigorous methods to qualify verifier quality and confirm the artifacts measurably improve frontier models.
