---
title: "🔬Scaling Past Informal AI"
url: https://daily.dev/posts/scaling-past-informal-ai-9wkniu88p
source_url: https://www.latent.space/p/axiom
type: article
source: "Latent Space"
published: 2026-06-03T19:32:18.503Z
updated: 2026-06-03T19:32:56.150Z
tags: ["reinforcement-learning"]
reading_time: 8
upvotes: 0
comments: 0
language: en
---

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# 🔬Scaling Past Informal AI

**[Latent Space](https://daily.dev/sources/latentspace)** · 8 min read · 0 upvotes · 0 comments

## Summary

Axiom, a startup valued at $1.6B, is betting that formal verification using the Lean proof language is the key bottleneck to AGI progress. CEO Carina Hong argues that AI systems relying on informal proofs hit a ceiling, while verified generation enables compounding intelligence — each formally proven result becomes a trusted building block for future training and inference. Axiom achieved 99% (187/189) on the Verina code-with-proof benchmark, compared to OpenAI o3's 4.9%, and solved all 12 Putnam exam problems. The core thesis: formal proofs provide a much stronger RL reward signal than statistical methods like GRPO, improving sample efficiency and enabling a compounding corpus of verified knowledge. Hong argues no path to AGI exists without verified generation.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.latent.space/p/axiom>

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---

Tags: [#reinforcement-learning](https://daily.dev/tags/reinforcement-learning)

[View this post on daily.dev](https://daily.dev/posts/scaling-past-informal-ai-9wkniu88p)
