“If you’re a private company building nuclear weapons or bioweapons, it’s definitely more dangerous if you’re making them available to everyone — but a lot of the danger is building them in the first place,” Cotra said. “Most systems that are too dangerous to open source are probably too dangerous to be trained at all given the kind of practices that are common in labs today, where it’s very plausible they’ll leak, or very plausible they’ll be stolen, or very plausible if they’re [available] over an API they could cause harm.”
But there’s one thing everyone agreed on: As we address today’s challenges in the form of Taylor Swift deepfakes and bot spam, we should expect much larger challenges to come. ...
See the full story here: https://www.vox.com/future-perfect/2024/2/2/24058484/open-source-artificial-intelligence-ai-risk-meta-llama-2-chatgpt-openai-deepfake