Source URL: https://simonwillison.net/2024/Dec/20/francois-chollet/#atom-everything
Source: Simon Willison’s Weblog
Title: Quoting François Chollet
Feedly Summary: OpenAI’s new o3 system – trained on the ARC-AGI-1 Public Training set – has scored a breakthrough 75.7% on the Semi-Private Evaluation set at our stated public leaderboard $10k compute limit. A high-compute (172x) o3 configuration scored 87.5%.
This is a surprising and important step-function increase in AI capabilities, showing novel task adaptation ability never seen before in the GPT-family models. For context, ARC-AGI-1 took 4 years to go from 0% with GPT-3 in 2020 to 5% in 2024 with GPT-4o. All intuition about AI capabilities will need to get updated for o3.
[…] Note: OpenAI has requested that we not publish the high-compute costs. The amount of compute was roughly 172x the low-compute configuration.
— François Chollet, Co-founder, ARC Prize
Tags: o1, generative-ai, inference-scaling, francois-chollet, ai, llms, openai, o3
AI Summary and Description: Yes
Summary: OpenAI’s recent developments with the o3 system, showcasing a notable increase in AI capabilities, highlight the potential for novel task adaptation. This improvement signals a shift in the landscape of AI models, specifically within the GPT family, and necessitates a re-evaluation of future AI capabilities and performance expectations.
Detailed Description:
– OpenAI has introduced the o3 system, trained on the ARC-AGI-1 Public Training set.
– The system achieved a remarkable score of 75.7% on the Semi-Private Evaluation set under a $10k compute limit.
– A high-compute configuration of the o3 system (with 172x the compute power) reached an even higher score of 87.5%.
– This represents a significant leap in AI capabilities, particularly showcasing a novel task adaptation ability not previously observed in models within the GPT family.
– Historical context provided highlights that ARC-AGI-1 took four years to advance from 0% performance with GPT-3 to 5% with GPT-4o, underscoring the groundbreaking nature of this advancement.
– This innovation prompts a necessary reassessment of assumptions regarding AI capabilities, indicating that future models may exceed current expectations.
Key Points:
– The o3 system’s breakthrough signifies a pivotal moment in AI development, particularly for professionals involved in AI security and infrastructure.
– The use of high-compute configurations and adaptations opens discussions on associated security implications and resource management in AI deployments.
– This advancement may also impact the governance and regulatory framework as organizations adapt to more capable AI systems.
Overall, the introduction of OpenAI’s o3 system is significant for security and compliance professionals, highlighting the need to match AI advancements with appropriate governance and security measures.