Mistakes are cheap now. That is both the promise and the problem of modern AI research. A large language model can produce a plausible derivation, a plausible proof, a plausible business plan, and a plausible explanation of why the previous three are brilliant. This is useful, until one remembers that “plausible” is the favorite costume of “wrong.” ...
Meetings are expensive, even when the employees are synthetic Every organization has seen the meeting that should have been an email. Everyone attends, everyone hears everything, and somehow the person who needed one precise fact receives it after forty minutes of theatrical alignment. Multi-agent AI systems often reproduce the same disease, only faster. A coding agent, a testing agent, a research agent, a planning agent, and a manager agent are assembled into a “team.” Then the system lets them talk through a fixed pipeline, a broadcast channel, or a reusable graph. It feels collaborative. It is also a polite way to dump irrelevant context into everyone’s prompt and call the mess intelligence. ...
A demo is not a deployment. In a demo, the model answers once. The answer looks correct. The cost looks tolerable. The team nods, the slide deck gains a green checkmark, and someone says the usual fatal sentence: “This seems reliable enough.” Then production happens. The same prompt goes through the same provider endpoint. The same workflow runs again. Sometimes the answer changes. Sometimes the reasoning trace wanders. Sometimes the bill is higher. Sometimes a supposedly more “thoughtful” strategy spends extra tokens to become confidently less useful. Beautiful. The machine has developed not consciousness, but variance. ...
Every enterprise AI team eventually meets the same annoying bill: the agent that thinks too much. It calls tools when a direct answer would do. It loops through evaluator prompts for tasks that need one clean instruction. It drags a code interpreter into a problem that is mostly reading comprehension. Then, after all that expensive theatre, it may still be wrong. Very impressive. Very modern. Very invoicable. ...