Large Language Models Confront Regulatory Challenges
Large language models are facing regulatory challenges due to current laws. The European Union’s AI Act and California’s SB1047 both employ a FLOP threshold to govern these systems. This measurement has been criticized for not reflecting the AI’s actual abilities and potentially stifling innovation. The development of more sophisticated systems, like Deepmind’s AlphaProof, further questions the FLOP-based regulation’s validity. As technology progresses, the need for new approaches to AI regulation becomes clearer.
Read more:
OpenAI