Wednesday, January 3, 2024

IEEE "Spectrum's Top AI Stories of 2023..."

From the electricity mavens at IEEE's Spectrum, December 27:

2023 may well go down in history as one of the most wild and dramatic years in the history of artificial intelligence. People were still struggling to understand the power of OpenAI’s ChatGPT, which had been introduced in late 2022, when the company released its newest large language model, GPT-4, in March 2023 (LLMs are essentially the brains behind consumer-facing applications).

All through the spring of 2023, important and credible people freaked out about the possible negative consequences—ranging from somewhat troubling to existentially bad—of ever-improving AI. First came an open letter calling for a pause on the development of advanced models, then a statement about existential risk, the first international summit on AI safety, and landmark regulations in the form of a U.S. executive order and the E.U. AI Act.

Here are Spectrum’s top 10 articles of 2023 about AI, according to how much time readers spent with them. Take a look to get the flavor of AI in 2023, a year that may well go down in history... unless 2024 is even crazier.

10. AI Art Generators Can Be Fooled Into Making NSFW Images

With text-to-image generators like Dall-E 2 and Stable Diffusion, users type a prompt describing the image they’d like to produce, and the model does the rest. And while they have safeguards to keep users from generating violent, pornographic, and otherwise unacceptable images, both AI researchers and hackers have taken delight in figuring out how to circumvent such safeguards. For white hats and black hats, jailbreaking is the new hobby. 

9. OpenAI’s Moonshot: Solving the AI Alignment Problem:  

This Q&A with OpenAI’s Jan Leike delves into the AI alignment problem. That’s the concern that we may build superintelligent AI systems whose goals are not aligned with those of humans, potentially leading to the extinction of our species. It’s legitimately an important issue, and OpenAI is devoting serious resources to finding ways to empirically research a problem that doesn’t yet exist (because superintelligent AI systems don’t yet exist).

8. The Secret to Nvidia’s Success:....


HT: nekkid capitalism