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The Mind Virus: Are we Infected?

Researchers describe a protocol that allows information to be transferred between distinct branches of a quantum multiverse without violating standard quantum mechanics.

Neural Networks learn without Weight updates? New study shows Bias-Only training matches full models. A minimalist approach to training challenges deep learning orthodoxy, offering a lighter path to high-functioning models.

From technopaganism to simulation theory, Shira Chess reveals how occult ideas quietly shaped digital culture and why the internet has always been stranger, darker, and more intentional than it appears.

In these moments of apparent chaos, the most effective change often does not come from adding more explicit information, but rather from the implicate order that silently generates everything.

Legendary futurists Max More, Anders Sandberg, Natasha Vita-More, and Eliezer Yudkowsky recently met online to debate AI and possible AI futures.

How decentralised science could transform research: unlocking funding, access, and collaboration while handling risks of quality, governance, and trust.

The article proposes that governments should choose a "base case" (the most likely scenario for AI), test each policy against it, and build hedges for higher-risk worlds.

Low-cost farm robots are quietly transforming food security favoring resilience over hype, local intelligence over the cloud, and human-centered automation over displacement in fields facing climate and labor pressures.

What if AI learned like a team, not a genius? Evolutionary Policy Optimization merges evolution and reinforcement learning, unlocking robotic skills where solo algorithms stall and redefining scalable intelligence globally.