A lot of that visible China going global era money was capital flight disguised as strategic investments back then. There is still capital flight as noted but watch that money come back as investments from non-Chinese companies actually owned by Chinese investors.
MARKET TRENDS
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Data Scientists Still Needed in Generative AI Era
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Are Data Scientists Still Needed in the Age of Generative AI?: The Rise of ChatGPT. https://
kdnuggets.com/2023/06/data-s
cientists-still-needed-age-generative-ai.html?utm_source=dlvr.it&utm_medium=twitter&utm_campaign=are-data-scientists-still-needed-in-the-age-of-generative-ai
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Domestic Robotics’ Unfulfilled Promises Before 2020
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Around that time, most people believed that domestic robotics would be a solved problem before 2020 (how could it not? did you see that Boston Dynamics video?), which led to a huge wave of investment in robotics — which of course didn't pan out.
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Human-level language understanding remains years away despite progress
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In 2016, when I tweeted that human-level language understanding was many years away (which is still the case now, though we're closer), mind the context: this was in response to many people, including prominent VCs, claiming that then-current AI was nearly there and was about to
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Good ideas copied: execution and structural advantage matter
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truth of doing great things: all the good ideas will be copied. it’ll always come down execution at the start, and structural advantage later on. unfortunately, competition is inescapable
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AI capability predictions: 2016 expectations versus 2023 reality
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In 2016, people didn't anticipate next-token prediction models (which were LSTMs then) to be this capable, but they did expect AI to soon have most of the capabilities they show now. Remember the chatbot mini-bubble of 2017? It was predicated on 2023 capabilities coming circa
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AI Predictions: Optimistic Bias and Historical Timeline Assessments
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If I rate my own AI predictions, every wrong one was on the optimistic side (e.g. in 2018 my timeline was mass-deployment of self-driving was 2023, which sounded extremely pessimistic back then). And people think I'm a skeptic (which I am not — historically I've been slightly
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AI Progress Exceeded Expectations Despite Autonomous Vehicles Delay
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Yep. LLM‘s came a lot faster than people expected and self driving cars slower. But overall, I’d have to rate AI progress as surprising us on the upside, even people who were relatively optimistic like me. Don’t you agree?
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Self-driving cars progress stalled since 2016 predictions
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If you told people in 2016 that in mid-2023 there would no way for a member of the general public to take a driverless ride in Silicon Valley, *no one* would have believed you. After all, self-driving cars were already on the streets and were making insanely fast progress, right?
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Self-Driving Cars: 2016 Predictions vs Reality Debate
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Funnily, there seems be as many folks saying "no one ever claimed in 2016 that self-driving car were anywhere close to ready" (fact check: it was the conventional wisdom in the tech crowd back then that they'd be mass-deployed before 2020) as folks saying "self-driving car were