The Data That Powers A.I. Is Disappearing Fast
For years, the people building powerful artificial intelligence systems have used enormous troves of text, images and videos pulled from the internet to train their models. Now, that data is drying up.
Related Knowledge Center: ENERGY BASICS: energy efficiency
The energy price spikes of the 1970s drove consumers, businesses and government to calculate opportunities for energy efficiency — investments, practices, and regulations to avoid some of the energy costs associated with particular products or services. Those calculations ran counter to a lot of engrained practices, and the friction between business and government is a feature of energy and environment policy discussions. Now, energy efficiency decisions — whether involving building practices, appliance efficiency, or vehicle mileage and emissions standards — are a complex mix of government regulation and market behavior.