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Axiom AI solves 12 Putnam math exam problems, nears human score

Axiom, a seven-month-old startup, has achieved a significant milestone by solving 12 problems on the prestigious Putnam undergraduate math exam, scoring 8/12. This accomplishment places their AI system closer to top human performance than other reported AI systems. Axiom's CEO, Carina Hong, emphasizes that while coding ability is advancing rapidly, formal verification through tools like their open-sourced AXLE Lean toolkit is crucial for scaling and compounding AI brilliance, moving beyond informal proofs and statistical rewards. AI

IMPACT Demonstrates AI's growing capability in complex reasoning and formal proof generation, pushing the boundaries beyond current coding models.

RANK_REASON AI system achieves a notable benchmark result on a difficult human competition.

Read on Latent Space (podcast video) →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Axiom AI solves 12 Putnam math exam problems, nears human score

COVERAGE [2]

  1. Latent Space (swyx) TIER_1 English(EN) · RJ Honicky ·

    🔬Scaling Past Informal AI - Carina Hong, Axiom Math

    Verified Generation and Compounding Intelligence

  2. Latent Space (podcast video) TIER_1 English(EN) · Latent Space ·

    Scaling Past Informal AI - Carina Hong, Axiom Math

    Carina Hong, founder and CEO of Axiom Math, joins the AI for Science podcast right after closing a $200M Series A to argue that the road to superintelligence runs through formal verification — not as a bug fix, but as the only way to compound and scale AI brilliance. Her company,…