> [China strategy] is based [..] on a few pillars: Embodied AI—robotics, advanced sensors, AI-enabled hardware; Fast-following in AI, especially with open-source models that blunt the impact [..] Adoption of AI in the here and now—building scaffolding, data pipelines, and other tweaks to make models work in businesses, and especially factories.
So in summary, a practical and realistic strategy aligned with the real world, involving consulting and cooperating with experts of many stripes, facing the world as it actually is, assessing things instead of assuming you always get what you want, planning and hedging around the uncertainty you cannot remove, doing something that helps sooner rather than later. Making things, doing things, it's just grounded
> The U.S. economy is increasingly a highly leveraged bet on deep learning. [..] Of all the bets to stake one’s economy on, deep learning is a very good one. Sam Altman’s mantra is true: deep learning works.
So in summary, an economic/strategic trajectory that's aligned with the mentality of politicians and MBAs. Which is to say.. a posture that's more or less like a child who insists on imagining they always get what they want, usually includes reality-denial for tactical purposes of lying and grifting, is out of touch with the world when they do pay attention to it. The issue with this is that these people always assume everything is about email-jobs that require no actual expertise in anything, because that's what everyone they interact with does. Do nothing but spin, make nothing but deals, act unilaterally without consulting anybody, and probably systematically just remove any experts they have access to since truth threatens power.
As usual, China has its eyes on real consumer value while the US is trying to find a way to pitch vaporware to investors.
> [China strategy] is based [..] on a few pillars: Embodied AI—robotics, advanced sensors, AI-enabled hardware; Fast-following in AI, especially with open-source models that blunt the impact [..] Adoption of AI in the here and now—building scaffolding, data pipelines, and other tweaks to make models work in businesses, and especially factories.
So in summary, a practical and realistic strategy aligned with the real world, involving consulting and cooperating with experts of many stripes, facing the world as it actually is, assessing things instead of assuming you always get what you want, planning and hedging around the uncertainty you cannot remove, doing something that helps sooner rather than later. Making things, doing things, it's just grounded
> The U.S. economy is increasingly a highly leveraged bet on deep learning. [..] Of all the bets to stake one’s economy on, deep learning is a very good one. Sam Altman’s mantra is true: deep learning works.
So in summary, an economic/strategic trajectory that's aligned with the mentality of politicians and MBAs. Which is to say.. a posture that's more or less like a child who insists on imagining they always get what they want, usually includes reality-denial for tactical purposes of lying and grifting, is out of touch with the world when they do pay attention to it. The issue with this is that these people always assume everything is about email-jobs that require no actual expertise in anything, because that's what everyone they interact with does. Do nothing but spin, make nothing but deals, act unilaterally without consulting anybody, and probably systematically just remove any experts they have access to since truth threatens power.