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In this article, Jan Horlings explores how ingrained compassion can transform Artificial General Intelligence, paving the way for a more ethical and beneficial future for all.

Photonics-based generative AI for lower environmental impact.

Can AI predict itself? Self-AIXI transforms reinforcement learning, replacing exhaustive planning with foresight, promising efficiency and adaptability for AI-driven decision-making.

Researchers at the University of California, Berkeley built an efficient genomic language model that uses evolutionary comparisons to find DNA changes most likely to affect health and inherited traits.

Rentosertib, built with generative AI for scarred lungs, starts a year-long study after protein clocks suggested treated patients looked biologically younger.

What happened at BGI over the last few days and why this will have lasting significance

Nall D. highlights and discusses how AI's evolution shapes social media: from personalized content to targeted ads. Uncover the future's potential and ethical concerns.

There are two competing strategies for how aging should be solved: one focusing on AI first, one to develop biological therapies now. What’s your pick?

Geodesic Inference Control transforms AI: bidirectional least-effort paths via Schrödinger geometry unify reasoning and learning—scalable, hallucination-proof, and decentralized for reliable intelligence.

R.U. Sirius discusses how people are exaggerating the risks of AI. He suggests a polarizing panic might cause more harm than the AIs!