AI Software Development – What Does the Data Say?

> The energy and compute needed to train an LLM to be an order of magnitude more reliable – e.g., wrong 3% of the time instead of 30% – is 10^20 times what the current frontier models require.

And the energy they require to be 30% wrong is already astronomical.