"On a laptop, the engineers demonstrate how a drone can pinpoint precisely what is in its sights. Using the ordinary, workhorse computer processors known as CPUs, the device can identify encroaching enemy tanks and soldiers, for example, and zip only that information back to military units, using a compressed AI model that's vastly cheaper and more energy-efficient than the behemoth large language models that power chatbots like ChatGPT."
"Multiverse, like its AI models, is currently small-predicted sales this year are a modest $25 million. But it's on to a big idea. Its work focuses on compressing large language platforms, or LLMs, and creating smaller models, in the belief that most consumers and business customers can do just fine with lower-powered but thoughtfully designed AI that needs less power and fewer chips to run."
Engineers in San Sebastián created a small AI model to help drones communicate and identify targets over chaotic battlefields. The model runs on ordinary CPUs and can pinpoint enemy tanks and soldiers, sending only compressed, relevant information back to units. The compressed AI is vastly cheaper and far more energy-efficient than large language models used by chatbots. Multiverse focuses on compressing LLMs and producing smaller models that let consumers and businesses perform well with lower-powered, thoughtfully designed AI needing fewer chips and less power. Some experts question compressed models' true performance. Multiverse counts clients including Bosch, Moody's, Bank of Canada and defense contractors.
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