Do you ever need to get actual users and use cases if you can just keep churning out hyped-up catchphrases, hashtags, and Twitter threads instead? I guess we'll find out eventually.
I've seen a number of hype waves over time -- some that I jumped on, some that flopped, some that worked out. Web 2.0, smartphones, SoLoMo, 3D printers, VR, deep learning, chatbots, wearables... one thing is sure, "web3" has the lowest content-to-hype ratio of anything I've seen
Short list of things that I was enthusiastic about very early, basically on day one: web 2.0, smartphones, DL (back when all the ML folks thought DL was a fad). Things I was cautiously optimistic about: SoLoMo, VR, early crypto (2012-2013).
Things I was skeptical about: chatbots, wearables, 3D printers, current crypto, NFTs, web3
We can also bring up self-driving, which was enormously hyped up from 2015 to 2017. It was always obvious that it was going to be a thing, but I thought the timing was completely wrong
In mid-2018 I made a bet that driverless taxis wouldn't be publicly available in the bay area by mid-2022, and another bet that they would be available by late 2023. I still believe I'm on track to win both

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More from @fchollet

9 Oct
Lots of folks (e.g. in my replies) confuse being able to name something and being able to explain it (i.e. understand it).

"Why does each half of the earth get cooler/hotter in opposite yearly cycles?"
"Duh, that's just seasons"
The ultimate version of this being extremely hot takes like "that's just brain development". I mean, sure. Also, computing is just electrons and art is just pixels. Easy. I have all the answers. I know the words!
Sometimes it's a bit subtle.

"How do airplanes fly?"
"That's just *lift*"

"Why does a child born from parents with brown and blue eyes respectively have brown eyes?"
"That's just because the *allele* for blue eyes is *recessive*"
Read 4 tweets
30 Sep
A portfolio project for undergrads? There's a 300 lines of code keras.io example that does exactly this (with better performance). Anyone with some Python experience could read it and modify it.

Machine learning just keeps getting easier and more accessible.
One thing I want to emphasize: ease-of-use is obviously beneficial to those with less expertise, who go from 0 to 1. But the people who gain the most from it are actually the experts, who are now able to dream bigger and move faster. Experts go from 1 to 10.
"My expertise is devalued, undergrads can reimplement my PhD thesis in 30 minutes 😢" is the wrong mindset.

It's actually: "my expertise is being multiplied, I can now achieve dramatically more ambitious milestones while leveraging more enjoyable and productive workflows 🚀🚀🚀"
Read 4 tweets
30 Sep
Here's a trivial example to illustrate the difference between pattern recognition and reasoning and it impacts behavior generation: let's say you encounter, for the very first time, a glass door with ⅃⅃Uꟼ written on it.
Pattern recognition: nearest neighbor is "PULL", I've learned to associate that with pulling the door. I pull.

Reasoning: that's a mirror image of "PULL". Must be written on the other side. The door will open by pulling towards the other side, i.e. pushing from this side. I push
typo: "and *how* it impacts behavior generation"
Read 4 tweets
19 Sep
Some apparently read this as "all recommender tech is bad & dangerous" which is not it at all.

The takeaway is that the information you consume matters and your attention is precious, so you should have very high standards for what's allowed to download thoughts into your brain.
You wouldn't eat random crap handed to you by a greasy robot on the street. Being deliberate about what you eat is critical to your health.

Well, being deliberate about the information you consume is critical to your mental well-being.
That doesn't mean that you should not eat anything or that you should never go to restaurants. It just mean you should have standards and you should be mindful of what you eat.
Read 4 tweets
14 Sep
I hear people saying "new housing is getting bought up as an investment vehicle, building more just helps the rich". Of course this is factually incorrect, but even more importantly, *in a world where enough housing gets built, housing is a depreciating asset, not an investment*.
When there is sufficiently supply, the price of a house / apartment goes down over time as it gets older (thus less attractive) and needs repairs. Eventually you have to tear it down and rebuild. Just like a factory. Or a car.
The price of housing only goes up because of artificial constraints that prevent supply from meeting demand. Housing works as an investment because we don't build fast enough / dense enough.
Read 6 tweets
6 Sep
People get scammed not so much because they can't analyze a scheme on an intellectual level, but because of their personality or emotional state. Smart are often *more likely* to get scammed, because they're more confident in their own judgement.

"Is it a scam?" A checklist.
1. Is there a real product/service involved, with an actual business/consumer need? What does the thing look like if you consider it from 1st principles, rather than from the lens of "smart people are into it, must be legit" or "even my neighbor is making money, must be legit"?
(scams will often try to hide their lack of practical foundations by saying they represent a "new paradigm", like "the internet in the 90s" -- everything that involves tech and hucksters must be like the internet, nevermind what the internet was actually useful for back then)
Read 7 tweets

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