Let's lead with efficiency. Our friends at GreenPT and Neuralwatt are calling on a sense-check for how we go about this AI transition. Instead of building power first and thinking about efficiency second, cut the waste and make AI leaner, then build for the remaining demand. - It's greener and better for society. - It's cheaper for the companies building AI. - It's cleaner for the towns hosting it. - And it leaves more power on the grid for everyone else. If you believe AI should be built responsibly, share their call to action. The decisions being made in the next eighteen months will outlive every model we’re excited about today, and the communities carrying their cost deserve proof that the capacity was necessary. Hats off to Robert Keus, Cas Burggraaf of GreenPT - Chad Gibson and Scott Chamberlin of Neuralwatt for putting their necks out and lending their technology expertise to this debate that seem more confused by the day.
Prioritizing model efficiency and reducing energy waste before scaling infrastructure is essential for responsible artificial intelligence development.
Anna Lerner Nesbitt right-sizing context windows and task-specific models slashes compute demand long before you need a new power plant. Most enterprise workloads are just burning megawatts running over-parameterized models for trivial tasks.
Two of my favorite companies! 👀✨
Here is their full statement: https://www.linkedin.com/pulse/greenpt-neuralwatt-reverse-order-ais-buildout-robert-keus-orene/