But artists are the canary within the coal mine. Their fight belongs to anyone who has ever posted anything they care about online. Our personal data, social media posts, song lyrics, news articles, fiction, even our faces—anything that’s freely available online could find yourself in an AI model without end without our knowing about it.
Tools like Nightshade could possibly be a primary step in tipping the facility balance back to us.
Deeper Learning
How Meta and AI corporations recruited striking actors to coach AI
Earlier this 12 months, an organization called Realeyes ran an “emotion study.” It recruited actors after which captured audio and video data of their voices, faces, and movements, which it fed into an AI database. That database is getting used to assist train virtual avatars for Meta. The project coincided with Hollywood’s historic strikes. With the industry at a standstill, the larger-than-usual variety of out-of-work actors could have been a boon for Meta and Realeyes: here was a latest pool of “trainers”—and data points—perfectly suited to teaching their AI to seem more human.
Who owns your face: Many actors across the industry worry that AI—very like the models described within the emotion study—could possibly be used to exchange them, whether or not their exact faces are copied. Read more from Eileen Guo here.
Bits and Bytes
How China plans to evaluate generative AI safety
The Chinese government has a latest draft document that proposes detailed rules for the right way to determine whether a generative AI model is problematic. Our China tech author Zeyi Yang unpacks it for us. (MIT Technology Review)
AI chatbots can guess your personal information from what you type
Latest research has found that giant language models are excellent at guessing people’s private information from chats. This could possibly be used to supercharge profiling for advertisements, for instance. (Wired)
OpenAI claims its latest tool can detect images by DALL-E with 99% accuracy
OpenAI executives say the corporate is developing the tool after leading AI corporations made a voluntary pledge to the White House to develop watermarks and other detection mechanisms for AI-generated content. Google announced its watermarking tool in August. (Bloomberg)
AI models fail miserably in transparency
When Stanford University tested how transparent large language models are, it found that the top-scoring model, Meta’s LLaMA 2, only scored 54 out of 100. Growing opacity is a worrying trend in AI. AI models are going to have huge societal influence, and we want more visibility into them to give you the option to carry them accountable. (Stanford)
A university student built an AI system to read 2,000-year-old Roman scrolls
How fun! A 21-year-old computer science major developed an AI program to decipher ancient Roman scrolls that were damaged by a volcanic eruption within the 12 months 79. This system was in a position to detect a few dozen letters, which experts translated into the word “porphyras”—ancient Greek for purple. (The Washington Post)