Get the latest tech news
OpenAI O3 breakthrough high score on ARC-AGI-PUB
OpenAI o3 scores 75.7% on ARC-AGI public leaderboard.
The reason why solving a single ARC-AGI task can end up taking up tens of millions of tokens and cost thousands of dollars is because this search process has to explore an enormous number of paths through program space – including backtracking. Regardless, the current performance represents a remarkable achievement, and a clear confirmation that intuition-guided test-time search over program space is a powerful paradigm to build AI systems that can adapt to arbitrary tasks. o3 fixes the fundamental limitation of the LLM paradigm – the inability to recombine knowledge at test time – and it does so via a form of LLM-guided natural language program search.
Or read this on Hacker News