There's a parallel to deep learning itself — the economic impact of the tech has been ~10% of what folks expected ~8 years ago, and being a provider of deep learning APIs / models has been a rather lousy business. Although individual engineers have done very well for themselves
MARKET TRENDS
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Tech Commoditization and Engineer Value in Deep Learning
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The more useful the tech turns out to be the more it will get commoditized and the harder it will be to monetize (paradoxically). The only clear winners are individual engineers with great deep learning NLP skills.
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AI Impact Will Be 10% of Inflated Public Expectations
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With all that said… it's obvious to me that the actual impact of the tech will be maybe ~10% of what the average person on my timeline expects. People have *ridiculously* inflated expectations, that aren't grounded in the actual capabilities (current or future) of these models.
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Future AI assistants will be more capable and cheaper to operate
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That means that the AI assistants of the near future will be considerably more capable than what we see today. And they will be a lot cheaper to run too, as model distillation techniques and architecture refinements keep catching up to raw model size.
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Tesla’s Pricing Strategy Disrupts EV Market Competition
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Did Tesla just rip away the pricing umbrella from competitors? Brilliant move, says Deutsche https://
thetechnologyletter.com/the-posts/did-
tesla-just-rip-away-the-pricing-umbrella-from-competitors-brilliant-move-says-deutsche
… // $TSLA $RIVN $LCID $FFIE #stocks #investing #Tesla #automotive #tech #technology #ModayY -
Building Competitive Moats in Technology Strategy
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There's always an opportunity to build a moat, if you know where to look.
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Weekly AI Developments, Trending Projects, and Monetization Opportunities
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This week's rundown of the latest AI developments, trending projects, and unique ways to use AI to make money was just sent out on the amazing @beehiiv Read here! https://
therundownai.beehiiv.com -
Search Engine Competitors: The Unexpected Threat to Google’s Dominance
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Bing. DuckDuckGo. Ask. Brave. Ecosia. Excite. Lycos. You. Baidu. Sogou. Yandex. Naver. Yahoo. Turns out the thing that threatened Google didn't look like Google.
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Training Costs for Large Deep Learning Models Rising Significantly
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I also made this prediction, which I still think will soon kick in, as the cost of training modern very large deep models is getting pretty high…
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AI Models Approaching 100 Trillion Parameters Ahead of Schedule
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In my 2018 keynote at ICML I showed this curve and predicted that in 2025 we would have models with 100 trillion parameters. We might get there sooner…