This desktop app for hosting and running LLMs locally is rough in a few spots, but still useful right out of the box.

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

See how we created a form of invisible surveillance, who gets left out at the gate, and how we’re inadvertently teaching the machine to see, think like us.

I’m a traditional software engineer. Join me for the first in a series of articles chronicling my hands-on journey into AI ...

Anthropic has launched Claude Interactive, a feature that changes how users engage with its artificial intelligence models. This update moves the platform beyond static text exchanges. It provides a ...

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new ...

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...

What sets Codeflash apart, he argues, is that it operates not just as a one-time audit or consultancy (as many optimization firms do) but as a continuous engine: “Codeflash has beaten us at optimizing ...

Bengaluru-based Sarvam AI has outperformed Google’s Gemini and OpenAI’s ChatGPT in Indian language benchmarks, showcasing locally trained models for documents, speech, and low-bandwidth use across ...

Just a few short months ago, back in November 2025, investors were writing OpenAI‘s obituary. That’s when Google unleashed Gemini 3, which actually looked like it had a better reasoning engine.