Human language may seem messy and inefficient compared to the ultra-compact strings of ones and zeros used by computers—but our brains actually prefer it that way. New research reveals that while ...

The novelty of AI is wearing off in the enterprise landscape, and organizations are rightfully focused now on AI driving ...

Earlier, Kamath highlighted a massive shift in the tech landscape: Large Language Models (LLMs) have evolved from “hallucinating" random text in 2023 to gaining the approval of Linus Torvalds in 2026.

Planet Labs leverages AI for actionable analytics and has a $734M backlog with defense revenue growth and a 27x sales ...

By now, ChatGPT, Claude, and other large language models have accumulated so much human knowledge that they're far from simple answer-generators; they can also express abstract concepts, such as ...

Fake news generated by AI is often perceived as more credible than texts written by humans. That worries linguist Silje ...

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 method could lead to more reliable, more efficient, ...

A proliferation of data centres may serve some purposes, but it's unlikely to help India achieve AI sovereignty. That path is far steeper. We need homegrown AI chips, original models and actual ...

We need to better understand how LLMs address moral questions if we're to trust them with more important tasks.

Large language models (LLMs) like ChatGPT show reasoning errors across many domains. Identifying vulnerabilities is good for public safety, industry, and the scientists making these models. The human ...

ERR posed questions about the Estonian language and culture to five of the most popular large language models and compiled a ranking based on their responses. Grok provided the sharpest answers, while ...

Putting humans and LLMs head-to-head in classic tests of judgment from human psychology underscores the differences between ...