🔬Scaling Past Informal AI - Carina Hong, Axiom Math
· Source: Latent Space
Axiom, a startup, has made significant progress in the field of artificial intelligence. In 2025, the company successfully solved all problems on a prestigious mathematics exam, outperforming other artificial intelligence systems and university students. This suggests that the ability of artificial intelligence to solve complex problems is rapidly improving.
Axiom’s CEO, Carina Hong, believes that the ability to code is a necessary but insufficient step towards achieving general artificial intelligence. According to her, verification of artificial intelligence is crucial to improving the accuracy and reliability of artificial intelligence systems. This involves not only coding, but also mathematically demonstrating that the codes are correct.
Axiom has developed a tool called AXLE, which allows users to interactively explore, validate, and manipulate mathematical proofs. This can be particularly useful in reinforcement learning, where verifying the correctness of proofs can provide a stronger reward signal than statistics.
Axiom’s ability to generate correct mathematical proofs is impressive, with a 99% result in a code generation and proof checking test. This suggests that the company is moving in the right direction to improve the accuracy and reliability of artificial intelligence.
This is significant because artificial intelligence verification can improve the accuracy and reliability of artificial intelligence systems, which can have a substantial impact on how these systems are developed and used in the future. Additionally, the ability to generate correct mathematical proofs may be fundamental to the development of general artificial intelligence, as it can enable artificial intelligence systems to learn and improve more efficiently.
Read the original article on Latent Space
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