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Prikvačeni tweet
Singapore going absolutely wild with the new year’s fireworks. DRONES. Drones.pic.twitter.com/IfpZzfC2Hz
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Ryan Foo proslijedio/la je Tweet
To the person who figured out my honeypot is a honeypot could you please stop putting the picture of Pooh bear with a jar of honey on it? Its like this person's life mission, I've blocked him on: - Client - IPs (now on Tor ffs) - The image (he just edits 1 pixel every time...)
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reading
@ShaneAParrish's brain food newsletter. his thought: as you get better at problem solving, you move to avoid problems before they start. this is low visibility. for programming: instead of programming yourself into a frenzy, think about architecture... Wu WeiHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
so I found dude_miaowing.wav in the _background_noises_ folder in
@petewarden 's dataset and my background noise has never been the same ever since...pic.twitter.com/Frc3edtGLR
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"So I used code and algorithms in order to achieve this task..."
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just me, casually opening emacs via the command line. I'm a GNU emacs on Linux kind of guy. emacs somefile.txt. some file.
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yes, you are right -- I do enjoy a good delta compression from time to time.
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Ryan Foo proslijedio/la je Tweet
“I always use my clients’ products [...] and why not, pray tell? Are these not the best goods and services on earth? I think they are, and that is why I advertise them.” I admire the way he realized his vision of making an excellent, joyful living w/o compromising his valuespic.twitter.com/n4wbd9mQDF
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Ryan Foo proslijedio/la je Tweet
Reasons why startups should price relatively high in general: 1. Easier to lower prices than raise them 2. PMF at low price doesn't mean PMF at a higher one 3. Less likely to leave money on the table 4. If your product is actually 10x better, it's worth it What else?
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think big...
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Ok maybe after more substantive example has been implemented
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Wow,
@OriolVinyalsML really lost to Berkeley Overmind in 2010 as a PhD student in Computer Science, 8 years later led the team that built@DeepMind 's AlphaStar. I am WEEPING.pic.twitter.com/3kEfxZwIe1
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I'll be right back, making a pull request to
@tensorflow library wish me luck teamPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
My Jan 2020; Started at GovTech, machine learning research. Learnt a lot about signal processing and audio. Won Hack and Roll 2020 w great team. Youth Corps project starting up. CNY steamboat w family. Started climbing. Worked on Javascript. Duolingo Russian streak.
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But perhaps I am being myopic here. Neural nets died out twice in the 60s and 80s,
#AI winters. Why stare so hard at the next few years, when there’s a marathon to run?https://twitter.com/ryanmyfoo/status/1223149621465141249 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
But I guess it’s like lamenting the single layer perceptron. Or TD-Learning. They had their day in the sun. Now they are relics of history in practice, only used to tell stories to neophytes about why they should study attention. (And so this is better because...)
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, when we’re looking at speech, a common approach has been to convert the signal to a spectrogram (2D image representing a sound wave) before training a convolutional net on the spectrogram. Fast. Fourier. Transform.
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Studied recurrent nets for my final research project only to hear them get replaced almost instantly-feels bad man. Computations being done in sequence == lots of waiting and wasting of power.Attention models can be parallelized. So can ConvNets. So even for sequence processing/1
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reviving this meme if(goingToCrashIntoEachOther) { dont(); }pic.twitter.com/93fcyakk4H
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brain feeling overstimulated, I really want to talk about transformers and attention w someone right now to understand it better
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