Are AI Models Working Harder Than They Need to?

Modern AI runs largely on multiplication: neural networks perform billions of operations multiplying inputs by learned weights. Lizy K. John, a professor of electrical and computer engineering at UT Austin, argues that is more work than the job requires. Her weightless neural networks pass binary inputs through interconnected lookup tables instead, closer to consulting stored answers than repeatedly solving the same arithmetic.