AI may become radically more powerful over the next 10 years.
This could drive an unprecedented transformation of our economy, larger than the Industrial Revolution, but unfolding over a vastly shorter time frame. It could bring risks, including large-scale job displacement, as well as opportunities such as major gains in living standards.
Economists, policymakers and technology leaders must act now to understand the economics of transformative AI and to build the incentives, guardrails, and institutions needed to steer AI in a direction that complements humans and benefits society.
None of that questions if we should be building AI in the first place.
Who stands to benefit when AI is developed and has massive consequences on society? I think it is mainly capitalists and global elite benefiting and society losing out.
Also no mention of the environmental destruction that is needed to build and run AI.
AI may become radically more powerful over the next 10 years.
This is corporate propaganda. It very likely won’t. It hasn’t improved meaningfully in the last several years. All the “breakthroughs” have been around agentic harnesses and not the models themselves.
Either way, we’ve had models that are good enough to support the actual real world use cases for LLMs since some time last year.
Having people think progress is about to explode is benefiting share holders.
Have you actually read their statement? It’s rather short. https://www.wemustactnow.ai/
None of that questions if we should be building AI in the first place.
Who stands to benefit when AI is developed and has massive consequences on society? I think it is mainly capitalists and global elite benefiting and society losing out.
Also no mention of the environmental destruction that is needed to build and run AI.
This is corporate propaganda. It very likely won’t. It hasn’t improved meaningfully in the last several years. All the “breakthroughs” have been around agentic harnesses and not the models themselves.
Either way, we’ve had models that are good enough to support the actual real world use cases for LLMs since some time last year.
Having people think progress is about to explode is benefiting share holders.