2025-07-04
AI researcher François Chollet argues that the era of simply scaling up models to achieve intelligence has run its course. Instead, he sees the field moving toward systems that can adapt to new problems and develop solutions independently, much like human programmers.
The article François Chollet on the end of scaling, ARC-3 and his path to AGI appeared first on THE DECODER.
2025-10-08
The trend of AI researchers developing new, small open source generative models that outperform far larger, proprietary peers continued this week with yet another staggering advancement.Alexia Jolicoe [...]
2025-10-08
Researchers at the University of Illinois Urbana-Champaign and Google Cloud AI Research have developed a framework that enables large language model (LLM) agents to organize their experiences into a m [...]
2025-08-07
In the ARC-AGI-2 benchmark, which is designed to measure a language model's general reasoning skills, GPT-5 (High) scored 9.9 percent at a cost of $0.73 per task, according to ARC Prize.<br /& [...]
2025-03-26
The new AI benchmark ARC-AGI-2 significantly raises the bar for AI tests. While humans can easily solve the tasks, even highly developed AI systems such as OpenAI o3 clearly fail.<br /> The arti [...]
2025-05-27
The Browser Company has stopped active development of the popular Arc web browser, according to a blog post from CEO Josh Miller. There will still be updates to fix security issues and the like, but t [...]
2025-07-20
ARC-AGI-3 aims to test how well AI systems can handle brand new problems. While people breeze through the challenges, the latest AI models still come up short.<br /> The article New ARC-AGI-3 be [...]
2025-10-09
A new mini-model called TRM shows that recursive reasoning with tiny networks can outperform large language models on tasks like Sudoku and the ARC-AGI test - using only a fraction of the compute powe [...]