The most significant advancement in Gemini 3.1 Pro lies in its performance on rigorous logic benchmarks. Most notably, the model achieved a verified score of 77.1% on ARC-AGI-2.

Another day, another Google AI model. Google has really been pumping out new AI tools lately, having just released Gemini 3 in November. Today, it’s bumping the flagship model to version 3.1. The new ...

The SaaSpocalypse narrative is overplayed. Yes, software houses will need to pivot in the age of AI, but they won't disappear ...

Claude Sonnet 4.6 offers a 1-million-token context window in beta for codebases or contracts, helping you review large files ...

Google has rolled out Gemini 3.1 Pro, the latest update to its flagship AI ...

Overview: AI tools can be used to create online courses. These tools help create interactive course structures without strong technical knowledge. The abil ...

Predict your next snow day! The Snow Day Calculator uses your location, past snow day history and school type to determine ...

Nissan is recalling 642,698 Rogue SUVs in the United States under two separate campaigns addressing defects that could lead ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.

Adding big blocks of SRAM to collections of AI tensor engines, or better still, a waferscale collection of such engines, ...

After years of watching smart teams mistake sampling for safety, I no longer ask how many AI tests we ran, only which failures we have made impossible by design.

A Hong Kong-based investment bank has partnered with systems integrators Global Vision Engineering (GVE) to modernise its ...