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Trends to Avoid When Founding a Startup

fast.ai

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Re: Trends to Avoid When Founding a Startup

#2
Hmm, this article took a quick turn into a story about how it takes just one year of coding experience + something from fast.ai to become "world-class deep learning practitioners"; make of that what you will.

Re: Trends to Avoid When Founding a Startup

#3
post #2

Hmm, this article took a quick turn into a story about how it takes just one year of coding experience + something from fast.ai to become "world-class deep learning practitioners"; make of that what you will.

I don't see anything that mentions just a year of coding experience, but as a participant in their free MOOC I can say that it's highly worthwhile. It's unique and complimentary to the more academic material usually found on deep learning.

Re: Trends to Avoid When Founding a Startup

#5
post #3
post #2

Hmm, this article took a quick turn into a story about how it takes just one year of coding experience + something from fast.ai to become "world-class deep learning practitioners"; make of that what you will.

I don't see anything that mentions just a year of coding experience, but as a participant in their free MOOC I can say that it's highly worthwhile. It's unique and complimentary to the more academic material usually found on deep learning.

From the article... "And even for highly technical aspects like deep learning, fast.ai has shown that people with 1-year of coding experience can become world-class deep learning practitioners; you don’t need to hire Stanford PhDs. "

Re: Trends to Avoid When Founding a Startup

#6
post #2

Hmm, this article took a quick turn into a story about how it takes just one year of coding experience + something from fast.ai to become "world-class deep learning practitioners"; make of that what you will.

I don't know how that could mean anything other than becoming familiar with a deep learning library/platform product and implementing feature requests with it.

In that case, I can readily see that. Especially if they have good teachers and teach the concepts thoroughly.

Re: Trends to Avoid When Founding a Startup

#7
Negative trends 4 and 5 are not, contra the article, AI-specific; AI just happens to be the intellectual problem of the moment.

The team I was on waaaay back in the prehistory of the web era was warned against hiring too many PhDs. We disregarded the advice. (These were smart guys, yo! They had PhDs!) We spent a couple of years tackling interesting problems instead of relevant problems, and just about entirely missed out on the first web bubble as a result.

I love smart academic people. I love those big brains. I'll never hire one ever again. Give me someone who's more interested in working around a problem than in studying it, and we'll get things done. Give me a PhD and we'll have a nice paper about it about 5 years after anyone other than their thesis advisor cares.

Re: Trends to Avoid When Founding a Startup

#8

I agree a lot with #3 but disagree heavily with #4. There are canonical examples of PhD theses that became successful companies, not to mention the dozens of companies who exited (e.g. CV companies to Qualcomm).

Yeah, Akamai, Google, to some extent Bose come to mind.

Most PhD theses would NOT become companies, so this is good advice for a PhD student but not for a founder. If a founder finds a PhD thesis that is worth productionizing, then the fact that it was a PhD thesis is irrelevant.

Re: Trends to Avoid When Founding a Startup

#9
post #5
post #3

Earlier quoted context omitted.

I don't see anything that mentions just a year of coding experience, but as a participant in their free MOOC I can say that it's highly worthwhile. It's unique and complimentary to the more academic material usually found on deep learning.

From the article... "And even for highly technical aspects like deep learning, fast.ai has shown that people with 1-year of coding experience can become world-class deep learning practitioners; you don’t need to hire Stanford PhDs. "

Thanks, I somehow missed that.

Re: Trends to Avoid When Founding a Startup

#10

I agree a lot with #3 but disagree heavily with #4. There are canonical examples of PhD theses that became successful companies, not to mention the dozens of companies who exited (e.g. CV companies to Qualcomm).

For what it's worth, trends #4 and #5 are both qualified with "AI Specific" further down. There will be some PhD theses that do solve real problems, but many are not going to make a startup successful by themselves.
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