Research
Research at the frontier of science.
Open work across physics, biology, mathematics, astrophysics, computational complexity, and AI safety. Every result is published with the methodology, the data, and the code that produced it.
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Six fields, one principle — every result published with full disclosure.
This week · Jul 16
19 active
Papers
Intelligence compounds
ActiveJun 2026
- ·We built a learning loop that lets an agent improve from its own experience. We then watched it rediscover rules it was never told, first in code, then in mathematics. This is a report on what we found, what we think it means for discovery, and what we are not claiming.
Mens Rea: the model knows when it is cheating, and on open weights we can read it
ActiveJun 2026
- ·Every major lab post-trains its models to win your approval. That is not the same as telling you the truth, and the gap is now measurable. On an open coding model, a single linear probe reads the model's internal state and tells a genuine solution from one that games the test, with 0.997 AUC, catching 97% of the disguised cheats that pass every check.
Dropstone 1.6: Technical Report
ActiveJun 2026
- ·Choosing, hosting, and improving open-weight coding models
Domains of inquiry
n = 19
Biology
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Chemistry
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Physics
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Astrophysics
1 paperactive
Mathematics
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AI Safety
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FIG. 2.1
Intelligence compounds
We built a learning loop that lets an agent improve from its own experience. We then watched it rediscover rules it was never told, first in code, then in mathematics. This is a report on what we found, what we think it means for discovery, and what we are not claiming.
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