How to close the loop between user behavior and LLM performance, and why human-in-the-loop systems are still essential in the age of gen AI.

New research reveals open-source AI models use up to 10 times more computing resources than closed alternatives, potentially negating cost advantages for enterprise deployments.

Eric Heaton is head of engineering at Siberia, a strategic design and innovation studio. He specializes in translating emerging technologies into real-world products that work.

While OpenAI’s GPT-5 is highly-performant, capable and an important step forward, it features just faint glimmers of true ...

Morris found it could also reproduce verbatim passages from copyrighted works, including three out of six book excerpts he tried.

Anthropic's Claude Sonnet 4 supports 1 million token context window, enables AI to process entire codebases and documents in ...

Liquid AI has described this license as based on Apache 2.0 principles, but the full text has not yet been published.

For now, the changes should help placate users who felt frustrated by the sudden shift to GPT-5 and deprecation of OpenAI's ...

For enterprise teams and commercial developers, this means the model can be embedded in products or fine-tuned.

AI systems that control computers like humans — are rapidly advancing while raising serious security and privacy concerns.

Anthropic launches automated AI security tools for Claude Code that scan code for vulnerabilities and suggest fixes, ...

The verdict, for now, is split. OpenAI’s gpt-oss models are a landmark in terms of licensing and accessibility.