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bra-ket
searching PlanetScale…
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51 ms
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421.
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Kafka’s Last Trial
(nytimes.com)
1 points
by
bra-ket
8y ago
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0 comments
422.
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Ultra-fast Serialization of C++ Objects
(accu.org)
3 points
by
bra-ket
8y ago
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0 comments
423.
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bra-ket
8y ago
business
424.
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bra-ket
8y ago
it would be interesting to see what these 141 companies be able to accomplish if combined
425.
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bra-ket
8y ago
apparently there is only one mobile app startup in SF and lots of developers developing developer tools
426.
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These guys made a homemade swimming pool literally from scratch
(trendszilla.net)
3 points
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bra-ket
8y ago
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0 comments
427.
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bra-ket
8y ago
you can either compress the data for general use, or optimize for particular application , i.e. search index, in the latter case the compression ratio can be orders of magnitude better than general-purpose I think improving general compress
428.
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bra-ket
8y ago
Switch to math-heavy domain, e.g. quant finance. Besides being a fascinating field in its own right, the maturity and depth of thinking and experience that comes with age are actually valued here.
429.
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bra-ket
8y ago
related: "Researchers Move Closer to Completely Optical Artificial Neural Network" https://news.ycombinator.com/item?id=17730775
430.
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bra-ket
8y ago
related: "All-optical machine learning using diffractive deep neural networks" https://news.ycombinator.com/item?id=17698135
431.
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bra-ket
8y ago
That’s not how the brain works The proposed method is wasteful in terms of energy spent to get an answer, specifically in this step : ‘ sum the whole range of possible sizes‘, even with approximations and clever algo Perception is much mor
432.
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bra-ket
8y ago
It would be interesting to automate the “ankyfication” process, i.e. given a text extract a set of questions and answers , then it can be used either for personal learning or as a feed to a memory machine
433.
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bra-ket
8y ago
The great thing about Juul is the lack of chemical aftertaste
434.
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bra-ket
8y ago
too philosophical, how about figuring out first how we identify objects, parse sentences or recall things from memory before talking about consciousness
435.
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Top Guns, by Ehud Yonay (1983)
(topgunbio.com)
1 points
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bra-ket
8y ago
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0 comments
436.
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bra-ket
8y ago
Also see https://github.com/analyticalmonk/awesome-neuroscience
437.
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bra-ket
8y ago
learning by trial and error will never generalize well
438.
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bra-ket
8y ago
for a great primer on quantum computing see https://docs.microsoft.com/en-us/quantum/quantum-concepts-4-...
439.
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bra-ket
8y ago
for a great primer on Bézier Curves see https://pomax.github.io/bezierinfo/
440.
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Quantum Mechanical Words and Mathematical Organisms
(blogs.scientificamerican.com)
1 points
by
bra-ket
8y ago
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0 comments
441.
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bra-ket
8y ago
it's not a stepping stone, if you look closely it's a dead end
442.
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bra-ket
8y ago
amazing, I was just thinking about neural-like computation using phase-locking oscillators and here it is, in a patent from 1957 filed by none other than Von Neumann: https://patents.google.com/patent/US2815488 thanks
443.
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bra-ket
8y ago
Why a paper on information processing in the brain doesn't mention grid cells http://www.scholarpedia.org/article/Grid_cells
444.
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bra-ket
8y ago
Quantlib api as a hobby: https://quantra.io Backtester by author of quantstart: https://github.com/mhallsmoore/qstrader
445.
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bra-ket
8y ago
looks like reinforcement learning people have been missing out on the last 70 years of cognitive psychology. Stimulus-response theories of classical conditioning have been a subject of controversy since at least the 50s[1], these are very
446.
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bra-ket
8y ago
why use "deep reinforcement learning" at all, is there any basis to believe it's a valid model of biological learning?
447.
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A 1950s-Era New York Knife Law Has Landed Thousands in Jail
(villagevoice.com)
108 points
by
bra-ket
8y ago
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42 comments
448.
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Introduction to Quantum Computing
(docs.microsoft.com)
2 points
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bra-ket
8y ago
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0 comments
449.
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St. Peter in Capernaum: An Archaeological Survey of the First-Century Village
(rsc.byu.edu)
2 points
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bra-ket
8y ago
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0 comments
450.
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bra-ket
9y ago
can this be applied to sequence learning?
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