2025-06-16
Researchers at New York University have presented RELIC (Recognition of Languages In-Context), a new test that examines how well large language models can understand and implement complex, multi-part instructions. The team shows similar results to a recently published Apple paper, but still sees potential for optimization.
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 [...]
2025-09-26
Apple's four iPad models each have their value — the mini is super portable, the standard model with the A16 chip is ideal for casual use while the Pros can handle complex tasks better than som [...]
2025-08-09
A new study from Arizona State University questions whether large language models can truly "think" like humans, suggesting their apparent reasoning is just pattern-matching that quickly bre [...]
2025-09-19
It’s been a big week in Apple world: The new iPhone 17, iPhone Air and iPhone 17 Pros went up for sale globally on Friday, while the latest major updates for iOS, macOS and Apple’s other operating [...]
2025-10-09
Researchers at Nvidia have developed a new technique that flips the script on how large language models (LLMs) learn to reason. The method, called reinforcement learning pre-training (RLP), integrates [...]
2025-10-09
Amazon’s October Prime Day sale has brought a number of decent discounts on Apple devices, from iPads to Apple Watches to accessories like the Apple Pencil and AirTag. If you’ve been waiting to ta [...]
2025-10-08
The latest addition to the small model wave for enterprises comes from AI21 Labs, which is betting that bringing models to devices will free up traffic in data centers. AI21’s Jamba Reasoning 3B, a [...]