This new technology could blow away GPT

Stanford and MILA's Hyena Hierarchy is a technology for relating items of data, be they words or pixels in a digital image. The technology can reach similar accuracy in benchmark AI tasks as the existing "gold standard" for large language models, the "attention" mechanism, but with as little as 100 times less compute power.

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For all the fervor over the chatbot AI program known as ChatGPT, from OpenAI, and its successor technology, GPT-4, the programs are, at the end of they day, just software applications. And like all applications, they have technical limitations that can make their performance sub-optimal. 

In a paper published in March, artificial intelligence (AI) scientists at Stanford University and Canada's MILA institute for AI proposed a technology that could be far more efficient than GPT-4 -- or anything like it -- at gobbling vast amounts of data and transforming it into an answer. 

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