AI breakthrough cuts energy use by 100x while boosting accuracy
www.sciencedaily.com
AI is consuming staggering amounts of energy—already over 10% of U.S. electricity—and the demand is only accelerating. Now, researchers have unveiled a radically more efficient approach that could slash AI energy use by up to 100× while actually improving accuracy. By combining neural networks with human-like symbolic reasoning, their system helps robots think more logically instead of relying on brute-force trial and error.

Matthias Scheutz, Karol Family Applied Technology Professor, compared this inefficiency to everyday AI tools. “These systems are just trying to predict the next word or action in a sequence, but that can be imperfect, and they can come up with inaccurate results or hallucinations. Their energy expense is often disproportionate to the task. For example, when you search on Google, the AI summary at the top of the page consumes up to 100 times more energy than the generation of the website listings.”

As AI adoption accelerates across industries, demand for computing power continues to climb. Companies are building increasingly large data centers, some of which require hundreds of megawatts of electricity. That level of consumption can exceed the needs of entire small cities.

  • lauhaEnglish
    7·
    15 hours ago

    Context based text prediction by classical software used to be really good 10 years ago, for example google search, excel auto fill etc.

    • gravitas_deficiency@sh.itjust.worksEnglish
      2·
      9 hours ago

      Now, we can do less accurate and helpful predictions with an order of magnitude more power and brute-force compute, and it’s all fine because the profusion of fancy buzzwords that the VC dipshits don’t even fucking understand the basis of let’s said VCs circle jerk their investment portfolios to the moon.