Categories: AI/ML News

Evolving AI may arrive before AGI and create hard-to-control risks

Evolutionary biology holds clues for the future of AI, argue researchers from the HUN-REN Centre for Ecological Research, Eötvös Loránd University, and the Royal Flemish Academy of Belgium for Science and the Arts. In a new Perspective published April 20 in Proceedings of the National Academy of Sciences, the team warn that evolvable AI (eAI) systems that can undergo Darwinian evolution may soon emerge, and they will generate special risks that can be understood, and mitigated, based on insights from evolutionary biology.
AI Generated Robotic Content

Share
Published by
AI Generated Robotic Content

Recent Posts

SenseNova-U1 just dropped — native multimodal gen/understanding in one model, no VAE, no diffusion

What's new: Text rendering in images actually works. Diffusion models scramble text because they don't…

12 mins ago

Adaptive Thinking: Large Language Models Know When to Think in Latent Space

Recent advances in large language models (LLMs) test-time computing have introduced the capability to perform…

12 mins ago

Extracting contract insights with PwC’s AI-driven annotation on AWS

This post was co-written with Yash Munsadwala, Adam Hood, Justin Guse, and Hector Hernandez from…

13 mins ago

The founder’s AI foundation: The top announcements for startups from Next ‘26

The momentum is undeniable: the world’s fastest-growing AI startups are building with Google Cloud. Instead…

13 mins ago

How Elon Musk Squeezed OpenAI: They ‘Are Gonna Want to Kill Me’

Tensions flared on the third day of trial in Musk v. Altman as OpenAI’s lawyers…

1 hour ago