Elon Musk's DOGE 'will assess government employee emails using AI'
(This is interesting because they may each have different priorities. The tasks would be compared for relevance as performance Short-term goals may differ from longer-term. It is not a closed system, but reacts between departments and with the public So it is bottom up rather than top down, presumably for machine learning What is the management doctrine these days? May be a case study in agentic apps -- empirical and ethical. Whether there is an argument for a correction layer, by regulation or rule, as well as a human in the loop to remain adaptive. Inference is a trend. Presages Stargate, for instance. Balance of paradox in a Zeno view. What is used to decide between chatbot or AI analysis models if not SWOT? While avoiding biases or hallucinations in algorithmic decision-making, whether hiring, firing, surveillance, sentencing, parole, or promotion.)
Can AI help DOGE slash government budgets? It’s complex.
(Really interesting since the policy layer is separate from the mechanics and is subject to change upon any election. If it reversed a lot, then that sweeps out participants who could not abandon their ethics. Good way to achieve changing of the guard, but havoc on bureaucracies, including the branches of government. One issue is whether they use multiple competing models to balance power.)
Elizabeth Warren urges Trump to beef up ethics rules as Musk takes key role
(Where government accounting tracks and regulates activities in other sectors, Efficiency appears to be recursive. That is also a method of counterintelligence if not counterinsurgency as seen when applied to other places. Follow the COIN. Also when does the mogul get into the chip business, pal?)