We’re in desperate need of ways to differentiate between human- and AI-written text in order to counter potential misuses of the technology, and researchers are developing tools to do exactly that. But... Read more »

Because large language models work by predicting the next word in a sentence, they are more likely to use common words like “the,” “it,” or “is” instead of wonky, rare words. This... Read more »

The team created a database of “micro-expression reference materials,” analyzed “pore-level resolution imagery,” and tracked the elasticity of sub-skin layers to understand how Smalls’s facial skin moved, Scott explains. Those minute changes... Read more »

—Jessica Hamzelou Jessica’s story is from The Checkup, her weekly biotech newsletter. Sign up to receive it in your inbox every Thursday. The must-reads I’ve combed the internet to find you today’s... Read more »

I think there’s an important set of lessons for us, about what the next decade’s going to be like for AI.  The first is where it came from: which is a team... Read more »

A spokesperson for Stability.AI did not respond to a request for comment. In a tweet, Stability.AI’s founder Emad Mostaque said the company is not doing this for “ethical or legal reasons.” “We... Read more »

Others are using AI to analyze “trip reports” to figure out what exactly psychedelic drugs do to our brains, I reported in March.  There’s lots of anecdotal data to draw from. Plenty... Read more »

The big breakthrough behind the new models is in the way images get generated. The first version of DALL-E used an extension of the technology behind OpenAI’s language model GPT-3, producing images... Read more »

Following a series of devastating fire years across the West, a number of states are increasingly funding efforts to clear out forests to reduce those dangers. That includes removing undergrowth, cutting down... Read more »