Nithin Kamath highlights how LLMs evolved from hallucinations to Linus Torvalds-approved code, democratizing tech and transforming software development.

AI safety tests found to rely on 'obvious' trigger words; with easy rephrasing, models labeled 'reasonably safe' suddenly fail, with attacks succeeding up to 98% of the time. New corporate research ...

Phil Bernstein and Vincent Guerrero present four areas where AI will develop fast in the architectural profession in 2026, ...

Location can make or break a digital experience. When a visitor lands on your site, you have a split second to greet them with the right language, currency, shipping offer, […] ...

This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.

Speechify's Voice AI Research Lab Launches SIMBA 3.0 Voice Model to Power Next Generation of Voice AI SIMBA 3.0 represents a major step forward in production voice AI. It is built voice-first for ...

Introduction Envision our digital world as a sprawling universe filled with glittering constellations of encrypted data, each packet of information ...

In our regular digest of the week's news from the Hungarian campaign trail: conflicting opinion polls, soldiers on the streets (due to the Ukrainian 'threat'), and a simple 'how-to' guide to the ...

New research finds publishers and marketers need to adapt as traditional searches and traffic to small websites are substituted by LLM usage ...

As AI tools such as Claude Code take off, most of the world’s software may end up being written by software. Hello, and welcome back to Fast Company’s Plugged In.

Eddy Keming Chen is an associate professor of philosophy at the University of California, San Diego, San Diego, California, USA. Mikhail Belkin is a professor of artificial intelligence, data science, ...