Scaling laws enabled an investment in capital and GPU R&D to deliver 10,000x faster training.

That took the wold from autocomplete to Claude and GPT.

Another 10,000x would do it again, but who has that kind of money or R&D breakthrough?

The way scaling laws work, 5,000x and 10,000x give a pretty similar result. So why is it surprising that competitors land in the same range? It seems hard enough to beat your competitor by 2x let alone 10,000x