| ▲ | kurthr a day ago | |||||||
That sounds reasonable, it's "just" $1k/yr for 2B workers (there are about 1.2B total "knowledge workers" in the world including gig drivers), or $10k/yr for 200M workers (there are 70M office and technical workers in the US). /s https://www.dpeaflcio.org/factsheets/the-professional-and-te... In 4 years it better be 10x more important to have than a cell phone is today, or 10x more important than having internet/monitor/pc/printer is for an office worker today. It's super-intelligence or bust. | ||||||||
| ▲ | tedggh a day ago | parent [-] | |||||||
The math looks good on paper, but in reality enterprise AI is hard, most companies are realizing they are actually not seeing ROI from AI. One of my customers took about 8 months to rollout an AI initiative that by the time it launched and people got trained on it, it was already legacy. Also if you are 10x more productive with AI that doesn’t necessarily increases your billable output. There could be some super models like Mythos aimed at very specific hard tasks like drug development, but we have not seen any of that yet, and the clock is ticking. | ||||||||
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