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Paras Chopra @paraschopra
, 4 tweets, 1 min read Read on Twitter
Shower thought #1: it’s not surprising that we’re making progress in AI through GPUs that originated fast visual processing (that requires massive parallel computation)

Parallel computation is norm in brain and CPU-like deliberate, linear computation is an exception
Shower thought #2: when people say it’s hard, they’re really saying ‘I estimate that it’s not worth my time, I have better things to do’
Shower thought #3: it’s no surprise that we find ourselves in a time in universe when it’s between chaos (Big Bang) and trivial simplicity (heat death)

Life, a complex system, may be an intermittent state between these two.
Shower thought #4: why can’t I simply enjoy showers :/
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@hardmaru i'm playing with generating art through CPNN blog.otoro.net/2016/03/25/gen…

The extra 'r' input doesn't seem to impact the output. Without r also images look very similar. Why is it there? What's the intuition of it being there?
BTW - I modified approach a little bit so instead of scanning x and y from 0 to max, it starts in the middle and the network outputs where in neighbourhood to move. Sort of like Langton's Ant. en.wikipedia.org/wiki/Langton%2…

It generated the attached. I love the (non)random drift.
And this.

(Sorry I'm DDOSing your twitter notifications, but I'm so in love with generating pretty pictures)
Read 3 tweets
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1/ Why do I write? (A thread on writing)
2/ Writing is a way of having long conversations with myself
3/ I write when there’s an incredibly hard idea that I need to teach myself.

I write when I have a glimpse of an insight that’ll remain hidden until caught and penned down.
Read 13 tweets
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1/ Was reading and thinking about why deep neural networks work so well on "natural" learning tasks (such as image classification).

Here are my notes.

(If some parts are vague or if they assume a familiarity with a concept you're not aware of, please let me know)
2/ First major insight was that the minibatch of data for gradient descent actually helps in generalization on unseen data.

Gradients of minibatch of data that are specific about that batch cancel over multiple runs and what remains is gradients that are generally applicable.
3/ It is known that neural networks are universal function approximators. That is, given a function they can approximate that function with arbitrary accuracy.

But now I think that's not an interesting result. What's interesting is that they give good answers on unseen data.
Read 19 tweets

Related threads

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Things are starting to change. What future do we want?

The political left and alt-right will use technology (incl. #AI/#AGI) & near-certain runaway #climate change. How to turn threats into opportunities? An intro to #ExtinctionRebellion research: vimeo.com/297453366 1/n
This film introduces a political theory on necessary conditions for climate mitigation (a.k.a.: "saving the world"). Let's call this theory "carbon language" until we find a better term. Don't worry, this thread will be short and easy to understand. vimeo.com/297679220 2/n
Indeed, this thread is entirely unscientific because science can tell us only how to save the world, not why. Why preserve life on Earth? Why live good lives? These are ethical questions; their answers depend on our values, and if we want to mitigate climate change, we will 3/n
Read 29 tweets
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Alan Marco: high quality patent has to adhere to patentability standards and claim an appropriate scope.
(Turns out defining a high quality patent isn’t that hard after all.)
Marco: does allowing amendments post-grant create an incentive for applicants to care less about getting a valid patent up front?
Read 73 tweets
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It's art up for review in opinions, of course I'm going to gravitate towards something shared with interest, when he didn't say a word for 2 days! Why was he there? #opendata #smartcities #bigdata #ai
I went through every single video he released in hip hop to understand him not saying a word. Easy to work out, he's a very bitter man who has absorbed all his parents immigrant opinions at home #opendata #smartcities #bigdata #ai
His parents are not middle class anywhere & neither is he #opendata #smartcities #bigdata #ai
Read 3214 tweets
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1/This is a lengthy thread describing in detail the Federal Government Executive Branch Departments & Agencies Reformation & Reorganization Plan (R&R Plan), entitled “Delivering Govt Solutions in the 21st Century.” whitehouse.gov/wp-content/upl…
2/h/t to @ThomasWictor who tweeted about the R&R Plan yesterday as I was still reading it, for highlights he described & particularly for his insight regarding it—& its transformative content—which may in pt be behind the Dem’s escalation/opposition to @POTUS @realDonaldTrump
3/For a thread w/a list of highlights from the R&R Plan, see:
Read 134 tweets
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Afternoon twitterverse! Let’s talk about AI in Radiology, which is the main focus in my research.
Any talk of AI begs for a definition of AI, and there are as many definitions as there startups that are “AI-enabled”.
#AI #phdchat #deeplearning #cancer #btsm #postdocalypse #podcast #ECRchat
For our purposes we'll just call anything that performs one of the higher level behaviours associated with animals e.g. learning, planning, problem-solving, creating etc.
Read 20 tweets
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01] #AI, #Quantum #Consciousness and #Computing, and the #antichrist connection

Anonymous Coward
User ID: 75745923
Norway
11/13/2017 12:45 AM

With all the AI-buzz going on both in threads here and out there in the real world, something struck me.

Contemplate this.
02] The double slit experiment, and also particle entanglement, points to matter being an emergent quality of consciousness.

And not the other way around.

This is most likely ancient and esoteric/intuitive/lost knowledge, ...

#AI
03] and also the basis for occultism and witchcraft that's resonating through the ages.

Because the obvious implification, is that we have emerged from and still exists in a causal sea of conscious energy and potential.

#AI
Read 9 tweets

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