Today on the AI Daily Brief, can AI be normal and world-changing at the same time?

The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI.

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Welcome back to the AI Daily Brief and happy Sunday. Now, of course, it being the weekend, that

means it's a big think slash long reads episode. And for the first time in a while, we actually

are basing the show on a long read. The piece is called

common ground between AI 2027 and AI as normal technology, and as you can probably tell from

the title, is a meeting of the minds of two very different visions of the likely futures of

artificial intelligence. The two pieces in question are AI 2027 and AI as normal technology.

The first was written by a group that included Daniel Kokutalo, Scott Alexander, Thomas

Larson, Eli Lifland, and Romeo Dean, the second by Arvin Narayanan and Syash Kapoor, who also

have a newsletter of the same name. Now, what's interesting is that both of these pieces were

released in April of this year, and both had significant resonance despite having very different visions

for how AI was likely to shake out. The idea of AI 2027 is that by around 2027, we likely

get superhuman AI that transforms the world faster and more profoundly than the Industrial Revolution.

We get there through massive trillion-dollar build-out of data centers, models being trained

on 1,000x times the amount of compute used for GPT4, models that stop being just chatbots and

become agents and employees, doing coding research and eventually a big share of intellectual

work, and critically, in their vision, AI is used to accelerate AI R&D.

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