Topics

Why do LLMs sound smart but often get it wrong? A decades-old knowledge system offers a blueprint for truly dependable AI.

Transformers learn in context, not through retraining. New research proves they are universal learners, capable of adapting to any task directly from examples, masked or unmasked.

From cover-band detours to literary pilgrimages, this retrospective traces Philip K. Dick’s legacy through conversations with devotees who see alienation, paranoia, and brilliance not as flaws but connective tissue.

Industry 5.0 promises human-machine harmony—but are our cybersecurity systems ready for the risks that come with it?

According to controversial claims, a chip generates power by harvesting energy directly from the quantum vacuum.

Zach Leary’s grounded guide demystifies psychedelics, offering safe protocols, brain science, and intent-driven journeys to unlock your extraordinary mind.

Technologist and activist Liz Henry joins R.U. Sirius to discuss hacker culture, ability tech, and how DIY repair might be the true frontier of transhumanism.

As AI enters roads, prisons, and war zones, safety is threatened! Darshana Patel highlights how invisible codes can marginalize visible lives, and why oversight can’t wait.

A new AI approach isn’t just solving math problems—it’s writing programs that discover new theorems, reshaping how we think about creativity in science.

A billionaire’s rise and fall as Trump’s pick to lead NASA amid political and budget challenges.