Robotics FOMO, Scaling Laws, & Technology Forecasting - Michael Dempsey: Blog
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Robotics FOMO, Scaling Laws, & Technology Forecasting - Michael Dempsey: Blog
Saved by Packy McCormick and
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In 2023, AI must absorb an influx of tourists – thin GPT wrappers, MBA tweet threads about AI trends, LinkedIn bios changing from #crypto to #AI. Genuine technologists will join the development effort, but filtering out negative human capital is challenging.
Undoubtedly, more builders are needed to apply and productionize the latest technologies,
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How did we get to the doorstep of the next leap in prosperity?
In three words: deep learning worked.
In 15 words: deep learning worked, got predictably better with scale, and we dedicated increasing resources to it.
That’s really it; humanity discovered an algorithm that could really, truly learn any distribution of data (or really, the underlying “rules” that produce any distribution of data). To a shocking degree of precision, the more compute and data available, the better it gets at helping people solve hard problems. I find that no matter how much time I spend thinking about this, I can never really internalize how consequential it is.
Technology has a clear, inevitable trajectory: mass diffusion in great roiling waves. This is true from the earliest flint and bone tools to the latest AI models.
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