The Future of Everything is Lies, I Guess (aphyr.com) AI

The author argues that today’s AI—especially large language models—is less like human-like intelligence and more like a “bullshit machine” that statistically imitates text while frequently confabulating, misunderstanding context, and making factual errors. They describe why LLMs can’t reliably reason about their own outputs, how “reasoning traces” and generated explanations can be misleading, and why models can be both astonishingly capable and still repeatedly “idiotic” in practical tasks. Overall, the piece frames current AI progress as creating major real-world risks alongside potential benefits, without offering a single definitive prediction of the future.