Destination
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.<br /> The article François Chollet on the end of scaling, ARC-3 and his path to AGI appeared first on THE DECODER. [...]

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venturebeat
Train-to-Test scaling explained: How to optimize your end-to-end AI compute budget for inference

The standard guidelines for building large language models (LLMs) optimize only for training costs and ignore inference costs. This poses a challenge for real-world applications that use inference-tim [...]

Match Score: 89.97

Destination
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 [...]

Match Score: 88.88

venturebeat
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 [...]

Match Score: 81.69

venturebeat
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 [...]

Match Score: 75.28

venturebeat
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 [...]

Match Score: 71.47

fastcompany
A top AI researcher explains the limitations of current models

François Chollet talks about his deceptively simple new benchmark test for AI models. [...]

Match Score: 63.84

Destination
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 /& [...]

Match Score: 63.06

venturebeat
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 [...]

Match Score: 62.38

venturebeat
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 [...]

Match Score: 61.55