Optimism and Concerns on AI Scaling and Data Availability

The potential for powerful AI by 2040 hinges on effective scaling of LLMs++, but the possibility of running out of high-quality language data poses a significant challenge. Skepticism arises regarding the insufficiency of data and the need for 100,000 times more data than currently available to achieve reliable AI performance, leading to concerns about the feasibility of scaling for achieving AGI.