Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.

How do caterpillars keep memories after dissolving into soup? How do we transform without fragmenting? A new AI architecture ...

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

Nikola Jokić, Shai Gilgeous-Alexander and Luka Dončić lead the way, but the rest of the Ladder remains up for grabs. Shaun Powell Jaylen Brown scores 42 points in a win over the New York Knicks. The ...

Cerebras Systems, in partnership with G42's Inception and MBZUAI's IFM, today announced the release of Jais 2, the leading open-source Arabic LLM -- the first frontier language model both trained and ...

Trained on the industry’s largest, highest-quality Arabic-first dataset, Jais 2 sets new standards for accuracy, fluency, and cultural intelligence Cerebras Systems, in partnership with G42’s ...

Amazon Web Services (AMZN) continues forward with its ambitious in-house chips, this time launching the Trainium3, its first 3nm artificial intelligence chip, which is also being used to power its ...

The option to reserve instances and GPUs for inference endpoints may help enterprises address scaling bottlenecks for AI workloads, analysts say. AWS has launched Flexible Training Plans (FTPs) for ...

Kon Knueppel keeps hold of No. 1 as the Top 5 fray gets jostled a bit in this week's Kia Rookie Ladder. Steve Aschburner Kon Knueppel stays hot and drops 28 points on the Pacers. “Irrational ...

For the past decade, the spotlight in artificial intelligence has been monopolized by training. The breakthroughs have largely come from massive compute clusters, trillion-parameter models, and the ...

The CNCF is bullish about cloud-native computing working hand in glove with AI. AI inference is the technology that will make hundreds of billions for cloud-native companies. New kinds of AI-first ...

For all the attention paid to monster frontier models, Kanajan says the real shift is happening elsewhere: compute capex is moving faster than expected from training to inference. Techniques like ...