Why I keep refusing to build fully automatic quoting systems: language models do not do math, and the real business rules live as implicit knowledge in human heads.
When a CEO brags about firing his staff thanks to AI, it's usually a valuation stunt - and the real winners are the ones who own the data centers.
The reason ChatGPT is polite and safe is an invisible workforce of underpaid annotators in the poorest corners of the world, hunted for being educated and desperate.
Machines are already smarter than us in many ways, and pretending otherwise is a distraction from the real problem: who owns the infrastructure.
What actually sits inside the black box of a language model: the Transformer architecture, attention blocks, and why language is just a time series to a machine.
