2025-07-04
François Chollet on the end of scaling, ARC-3 and his path to AGI
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.
Rating
Innovation
Pricing
Technology
Usability
We have discovered similar tools to what you are looking for. Check out our suggestions for similar AI tools.
2025-10-31
How an Oregon court became the stage for a $115,000 showdown between Meta and Facebook creators
Some of the most successful creators on Facebook aren't names you'd ever recognize. In fact, many of their pages don't have a face or recognizable persona attached. Instead, they run pa [...]
2025-10-08
Samsung AI researcher's new, open reasoning model TRM outperforms models 10,000X larger — on specific problems
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 [...]
2025-10-24
Thinking Machines challenges OpenAI's AI scaling strategy: 'First superintelligence will be a superhuman learner'
While the world's leading artificial intelligence companies race to build ever-larger models, betting billions that scale alone will unlock artificial general intelligence, a researcher at one of [...]
2025-10-08
New memory framework builds AI agents that can handle the real world's unpredictability
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
Grok 4 edges out GPT-5 in complex reasoning benchmark ARC-AGI
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 /& [...]
2025-12-12
Google’s new framework helps AI agents spend their compute and tool budget more wisely
In a new paper that studies tool-use in large language model (LLM) agents, researchers at Google and UC Santa Barbara have developed a framework that enables agents to make more efficient use of tool [...]
2025-11-17
Phi-4 proves that a 'data-first' SFT methodology is the new differentiator
AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. The Phi-4 fine-tuning methodology [...]
2025-03-26
OpenAI's top models crash from 75% to just 4% on challenging new ARC-AGI-2 test
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 [...]