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Artificial intelligence in practice — what it changes, who it concentrates power for, and how it lands in the businesses and policies of the technology economy.
915 articles · Artificial Intelligence (AI)
A Silicon Canals piece on why AI exposure follows available training data and task legibility, not a simple ranking of job difficulty.
Here is the rewritten reliability is a hardware problem, when in fact the unsolved part is autonomy in a world the engineers do not control.
The man whose open-source code runs inside one of the most-installed pieces of consumer software in history is now building infrastructure for a different kind of fleet: robots, drones, and remote machines expected to come online over the next decade.
Two numbers from McKinsey's 2025 survey sit awkwardly next to each other.
I'm not a psychologist, an economist, or a labor researcher.
Here is the number that stopped me.
On 9 June 2026, Anthropic released Claude Fable 5, the first publicly accessible model from its Mythos class.
By eleven fifteen on the second day, the morning's writing was done.
The cursor blinks. The research is open in nine tabs, the coffee has gone lukewarm, and I have read enough to write a competent summary of the thing.
In 2025, a nationally representative survey of 1,060 US teens found that 72% had tried an AI companion at least once and 52% used one regularly.
The headline writes itself and, predictably, wrote itself badly in most places it appeared.
The UK's Online Safety Act gives Ofcom theoretical penalty powers larger than the GDP of small countries. The team that actually issues those fines has fewer than 50 staff — and Meta is now in the High Court trying to shrink the formula.
