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Lucas Wiman
Software engineer
Software engineer

Lucas's posts

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This guy nailed it. When you ask for a band to play for free, this is what you're saying.

You get what you pay for. 

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Docker makes it easy run Caffe (in CPU mode) and have your own deepdream fun without the hassle of compiling Caffe. Dockerfiles, the necessary repos, and supporting code is here:

The final Compiled Docker Image is available on Docker Hub under visionai/clouddream

And maybe it's overkill, but I piped a bunch of Salvador Dali pics through #deepdream.

You can easily process your own directory of images and make something like using a cheap/free VPS provider like #Vultr or #DigitalOcean. So now basically there's no reason be stuck compiling.

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All Your Money Is Belong To Us

The TSA LOLs over money spotted (and, it seems, confiscated) because [unspecified crime of trying to transport cash].

So, apparently, if you have a large sum of cash to move from point A to point B, best it not be an actual physical transaction. Because LOLs and confiscation.

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"It was monumentally ugly, like all architecture not built by religious devotees or mad eccentrics." -- Michel Faber, The Book of Strange New Things

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Interesting that Jefferson is now rightly considered one of those barbarous ancestors due to his owning slaves. Contra Scalia, much of human progress has taken the form of defining universal human rights, then defining more and more people as universally human. From white male landowners to white men to white people to people of all races to people of all genders and sexual orientations to...

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Earth over the last 24 days (June 1st - 24th, using Suomi NPP true color imagery)
Animated Photo

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All of these images were computer generated!

For the last few weeks, Googlers have been obsessed with a internal visualization tool that Alexander Mordvintsev in our Zurich office created to help us visually understand some of the things happening inside our deep neural networks for computer vision.  The tool essentially starts with an image, runs the model forwards and backwards, and then makes adjustments to the starting image in weird and magnificent ways.  

In the same way that when you are staring at clouds, and you can convince yourself that some part of the cloud looks like a head, maybe with some ears, and then your mind starts to reinforce that opinion, by seeing even more parts that fit that story ("wow, now I even see arms and a leg!"), the optimization process works in a similar manner, reinforcing what it thinks it is seeing.  Since the model is very deep, we can tap into it at various levels and get all kinds of remarkable effects.

Alexander, +Christopher Olah, and Mike Tyka wrote up a very nice blog post describing how this works:

There's also a bigger album of more of these pictures linked from the blog post:

I just picked a few of my favorites here.
18 Photos - View album

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Something deeply surreal about taking a selfie in those circumstances. 
His Holiness the Dalai Lama taking part in a selfie with a member of the public in the lobby of his hotel on the the last day of a five day visit to Leura, Blue Mountains, NSW, Australia on June 9, 2015. (Photo by Jeremy Russell/OHHDL)

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The Intercept is doing an okay-if-not-great job writing about the Snowden-leak-based "revelation" that the NSA uses large-scale speech-to-text on the large-scale collection of phone calls it records.  These days everyone's Android and iPhone do this all the time; it hardly seems like it should count as a revelation.  When I worked at BBN 8 years ago, the NIST-run competitions had worse error rates than we do now, but they were already running on a single machine at 10x faster than real-time.  None of this was secret; read if you're a glutton for punishment.

But The Intercept's focus on the question "Are they creating a transcript of everything?" is misplaced.  If you wanted to find all phone calls that contained the word bomb, you would be stupid to make your one-best-guess transcript of the recording and then grep for "bomb", missing all the cases where the text-to-speech produced "balm" or "calm" or "slalom" errors.  Instead you would have your computer scan the audio, using a model that's specifically trained to look for bomb (and the other thousand words you most care about), and flag the bits that sound like they might match, even if your models say "balm" is a slightly more likely transcription.

Sadly, there's ample evidence that the FISA court's attempts at constraining the NSA are just as naive as The Intercept's way of reporting on it.  Surely there's nothing stopping the NSA from doing this, and so surely they do it.
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