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 benchmark shows that humans still outperform LLMs at pretty basic thinking appeared first on THE DECODER. [...]
Even as concern and skepticism grows over U.S. AI startup OpenAI's buildout strategy and high spending commitments, Chinese open source AI providers are escalating their competition and one has e [...]
For decades, the IQ test has been one of the most familiar — and most contested — yardsticks for human intelligence. Now, a startup project called AI IQ is applying the same metaphor to artificial [...]
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 [...]
Enterprises looking to move more of their agentic AI workloads to open weights models they can customize, control and run on-premises or in virtual private clouds have a strong new contender to consid [...]
Microsoft and OpenAI on Monday announced a sweeping overhaul of the partnership that has defined the commercial AI era, dismantling key pillars of exclusivity and revenue-sharing that bound the two co [...]
Is AI leaving the era of "turn-based" chat?Right now, all of us who use AI models regularly for work or in our personal lives know that the basic interaction mode across text, imagery, audio [...]
The new ARC-AGI-3 benchmark drops AI systems into interactive game environments that humans solve with ease. No frontier model breaks the 1 percent mark because the benchmark strips away their biggest [...]
The ARC Prize Foundation analyzed 160 game runs of OpenAI's GPT-5.5 and Anthropic's Opus 4.7 on the ARC-AGI-3 benchmark. Three systematic error patterns explain why both models stay below 1 [...]