AI based on large language models poses risks to Web3 principles. Enter NeuroSymbolic AI, which offers greater auditability ...

Using a clever solution, researchers find GPT-style models have a fixed memorization capacity of approximately 3.6 bits per parameter.

MLCommons' AI training tests show that the more chips you have, the more critical the network that's between them.

MLCommons' AI training tests show that the more chips you have, the more critical the network that's between them.