Artificial intelligence can now function with less memory than a human synapse

Modern AI has reached a breakthrough in efficiency through the TurboQuant algorithm, which compresses context data to 3-bit floating-point precision. This represents a fivefold reduction in memory requirements compared to the industry standard 16-bit format. While a human synapse typically functions with the equivalent of 1 to 10 bits of data, these neural networks can maintain 99% accuracy on language benchmarks while operating at the lower end of that biological spectrum.