Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2, 2026, a system that compiles any natural-language task spec into a 23MB ...

As a result, researchers are exploring ways to embed better logic into AI. The goal isn’t so much to make LLMs smarter; it’s ...

When a standard large language model (LLM) is confronted with a problem, it tries to solve it by matching it to similar information it has seen before, and then give an answer based on those past ...

Porsche beat Lexus, Genesis, and every luxury brand in JD Power quality — and a 911 only loses 19.5% of its value in five ...

Many companies have historically rewarded innovation and improved productivity. But companies are now seeing so much ...

Zapier reports that AI agent evaluation is crucial for ensuring reliable performance in real-world scenarios, identifying ...

Enterprise AI has spent the last two years fixated on ever more powerful models. But a largely hidden layer is emerging ...

The recent spike in mega-rounds—whether a temporary anomaly or a new trend—has changed what a check actually buys.

Think of tokenomics as a cloud budget for AI; it stops your team from accidentally racking up massive bills on giant prompts and oversized model responses.

No one in AI trusts their rivals to slow down—so everyone races ahead. New tech could help break that impasse.

Anthropic's new mid-tier model Claude Sonnet 5 arrives as Fable and Mythos sit boxed up under a U.S. export order.

Imagine sitting down at your desk and logging in for a performance review, with an AI system analyzing the conversation.