a transition like this is mostly good, and can happen somewhat fast—the transition from the pre-smartphone world to post-smartphone world is a recent example. but it’ll be tempting to go super quickly, which is frightening—society needs time to adapt to something so big.
@sama
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Rapid AI Integration Benefits Driving Quick Worldwide Adaptation
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the adaptation to a world deeply integrated with AI tools is probably going to happen pretty quickly; the benefits (and fun!) have too much upside.
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AI Applications Transforming Productivity Healthcare Education Entertainment
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these tools will help us be more productive (can't wait to spend less time doing email!), healthier (AI medical advisors for people who can’t afford care), smarter (students using ChatGPT to learn), and more entertained (AI memes lolol).
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Our Collective Responsibility for Moral Progress Now
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the people who came before us are a complete package of good and bad, and collectively they pushed the world forward; it’s important to view the moral progress of society as an ongoing joint project we are all responsible for. now it’s our turn.
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Generational accountability: understanding future AI ethics impacts
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i wish that all generations would treat previous generations with indulgence. humanity is deeply imperfect. our grandparents did horrible things; our grandchildren will understand that we did horrible things we don’t yet understand.
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Maintaining Team Fire Through Long Project Journeys
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very difficult for a team to have the same fire as day 1 when they thought the project was going to fail as on day 2000 when they have all the momentum, but super powerful when it happens!
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Balancing AI Development Through Iteration and Societal Input
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this is going to take continual iteration–and lots and lots of societal input–to get right. to find the right balance, we will likely overcorrect several times, and find new edges in the technology. we appreciate the patience and good faith as we get to a better place!
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AI System Behavior: Reducing Bias, Customization, and Public Input
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our current thoughts on hard questions about how AI systems should behave: 1) less biased defaults, 2) lots of user customization within very broad bounds, 3) public input on bounds and defaults
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AI automation impact on cognitive versus physical labor pricing
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2023: $30,000 to get a simple iPhone app created, $300 for a plumbing job. i wonder what those relative prices will look like in 2028! the likely coming divergence between changes to cognitive work and changes to physical work could be quite dramatic.
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Employee Equity Key to Startup Success Globally
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giving equity to employees is perhaps the key element to making startups work. it's amazing to me that some countries make this so hard (sometimes totally economically impractical) and then wonder why they don't have more successful startups.