About this time last year, I tackled the subject of artificial intelligence (AI) and the impact of the new generalised intelligence language learning models (LLMs) like ChatGPT etc. In that post I …
I couldn’t handle the wall of text with no context on what it would be about, so here’s a TLDR from ChatGPT:
The blog post by Michael Roberts critiques the optimistic predictions of AI’s economic benefits, arguing that AI may not significantly boost productivity and could exacerbate inequality. Roberts highlights economist Daron Acemoglu’s skepticism, noting modest productivity gains and potential negative impacts on wages and job quality. The post stresses that AI’s benefits depend on its application and warns about the high energy costs and environmental impact. It calls for AI to be developed for human welfare rather than profit.
I couldn’t handle the wall of text with no context on what it would be about, so here’s a TLDR from ChatGPT:
The blog post by Michael Roberts critiques the optimistic predictions of AI’s economic benefits, arguing that AI may not significantly boost productivity and could exacerbate inequality. Roberts highlights economist Daron Acemoglu’s skepticism, noting modest productivity gains and potential negative impacts on wages and job quality. The post stresses that AI’s benefits depend on its application and warns about the high energy costs and environmental impact. It calls for AI to be developed for human welfare rather than profit.