TRANSMISSIONS

The moment machine intelligence surpasses human intelligence and begins improving itself. What it means, why it matters, and how close we actually are.

Why building AI that does what we actually want is the hardest unsolved problem in computer science — and why getting it wrong could be irreversible.

From Turing's test to recursive self-improvement. A comprehensive chronology of the moments that brought us to the edge.

Drone swarms, lethal autonomous weapons systems, and the erosion of human-in-the-loop requirements. A threat vector deep-dive.

When anyone can fabricate anything, consensus reality fractures. How synthetic media is destroying trust and what comes next.

Algorithmic trading, content recommendation engines, autonomous defense networks — the AI infrastructure that's already beyond human recall.

From Frankenstein to Neuromancer to Superintelligence — the prophetic texts that warned us, and how accurately they saw what was coming.

William Gibson wrote Neuromancer on a typewriter in 1984. Forty-two years later, nearly everything he imagined has arrived — or is arriving.

The methodology behind our singularity risk score. Five weighted factors, transparent calculations, and an invitation to disagree.

Not Terminator. Not HAL 9000. The real concerns from the people closest to the technology — and why they're losing sleep.