Large language models (LLMs) have demonstrated impressive capabilities in natural language understanding and automation, but our experience shows they are not yet suited for the specific, high-stakes ...

LLMs have delivered real gains, but their momentum masks an uncomfortable truth: More data, more chips and bigger context windows don’t fix what these systems lack—persistent memory, grounded ...

LLMs need vastly more data than children to learn language. Understanding why could help us create more efficient models—and ...

Hallucinations in LLMs: Why they happen, how to detect them and what you can do. As large language models (LLMs) like ChatGPT, Claude, Gemini and open source alternatives become integral to modern ...

Large language models have been pitched as the next great leap in software development, yet mounting evidence suggests their capabilities are flattening rather than accelerating. That plateau carries ...

Give a large language model broad access to data and it becomes the perfect insider threat, operating at machine speed and without human judgment. Large language models (LLMs) have quickly evolved ...

The real artificial intelligence crisis isn't what the models might hallucinate - it's what they'll never forget. The rapid adoption of AI has created a "Shadow IT 2.0" scenario, in which employees ...

This is today's edition of The Download, our weekday newsletter that provides a daily dose of what's going on in the world of technology. Meet the new biologists treating LLMs like aliens How large is ...

AI models a curated map of your site, but adoption in one estimate still sits under 10% and platform support is inconsistent.

I read a bunch of posts last week that were shocked by the progress of ads in ChatGPT and other chatbots. Why is everyone so surprised? Didn’t they think the industry would be quick to lean into ads ...