drongoking

9 ms·

61.
by drongoking 7y ago
The author compares it to YouTube but I don't think it's quite that bad. I doubt we'll see the relentless adapt-and-attack cycle that YouTube gets. The goal of researchers has always been to publish, but not every venue is
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by drongoking 7y ago
This article is from 2015. Is the beginning of the ending of capitalism done beginning?
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by drongoking 7y ago
Within a field it's what most scientists do. Between fields, or subfields, it's less common. When a field gets very large such that no one can keep up with it all, Literature-Based Discovery by machine is useful.
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by drongoking 7y ago
As a meta observation, he seems to assume that materials production and disposal would improve over time while recycling technology would not, and that the economics wouldn't change either. Some of the sources he cites for the ineffic
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by drongoking 7y ago
Amen to this. In fact, I tell people that if they're interested in writing a book they shouldn't be asking themselves "Should I write a book?", they should be thinking: "I have 18 months of free time. What could I
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by drongoking 7y ago
Speaking as another O'Reilly author, I'd agree with this and add that for tech books the publisher is even less necessary. If you've written papers with Latex/MD/asciidoc, and drawn figures and tables, you're a
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by drongoking 8y ago
Your distinction between TFIDF as simply computed vs embeddings as learned is odd and artificial. Both are computations from data, but TFIDF has an understandable closed form and word embeddings do not. As for machine learning, it has to do