This year brought advances in AI chatbots and image makers, along with a brewing fight over the data that feeds them
Before, you might have needed to commission an artist to get that, but now simply type that request into a text-to-image generator, and out pops an AI generated photo from thin air of such high quality, even AI doubters conceded it’s impressive — though they still note their many concerns.Dall-E 2, created by OpenAI and named after painter Salvador Dali and Disney Pixar’s WALL-E, shook the internet after launching in July.
Predictably, experts said, the surge in use came with problems. Artists felt these models were training off images they created and posted onto the internet, and weren’t getting profits from them. People quickly used them to create images of school shootings, war photos, and even child porn, according to a Reddit group and Discord chat channel.
Proteins are essential to developing medicine. Visualizing their shape helps scientists uncover how proteins operate, and can help them create drugs to counter disease. In the past, the technique was cumbersome, requiring laborious X-rays and microscopic examination. The announcement followed a string of advances by DeepMind in the field. In 2020, the lab first announced it had the ability to predict the shape of proteins using AI software. A year later, it announced a tool they created to do it, called AlphaFold, along with roughly 350,000 proteins it visualized, including all proteins in the human genome.Advertisement
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