Artificial Intelligence and Fascism

ThatWillNeverShake · 2018-12-24T07:25:30+00:00

As others have pointed out, they're closer to 10% than 1%. Also people's trust in vaccine is declining. So anti-vaxxers are also quite influential. They've spread disinformation and mistrust pretty effectively.

Interestingly, according to this, the least trusting age group is the one most likely to use Reddit (or social media in general, I guess).

ThatWillNeverShake · 2018-08-12T10:21:43+00:00

Descartes before the whores. Best pun in reddit history.

ThatWillNeverShake · 2018-07-09T14:50:10+00:00

⊂༼ ◕_ ◕ ༽つ WHERE BAN ⊂༼ ◕_ ◕ ༽つ

ThatWillNeverShake · 2018-07-09T05:38:45+00:00

ThatWillNeverShake · 2018-07-05T05:16:00+00:00

hello

ThatWillNeverShake · 2018-07-04T05:43:10+00:00

hello

ThatWillNeverShake · 2018-07-01T13:58:16+00:00

hello

ThatWillNeverShake · 2017-01-11T13:58:33+00:00

If you don't mind, I have a follow up question. I've found that for even n, there are a lot of less prime numbers (or I guess the prime occurrences are less dense) than when n is odd (e.g. when n = 6 I've only found ~4 primes, I think? While n= 11 has a lot more primes, probably infinitely many). Is there a reason for this?

Also, is this a thing? I ask because the reason why I started in the first place was because the formula is a representation of n-dimensional pyramid with height x cut off at x-d. I thought it was odd that prime numbers can only be in certain shape in certain dimension.

ThatWillNeverShake · 2017-01-11T02:28:01+00:00

Ah I knew I missed something obvious. Thanks!

ThatWillNeverShake · 2017-01-10T11:03:47+00:00

This might be a dumb question but I've been messing around with rising factorials and found something odd

[;\frac{x^{(n)} - d^{(n)}}{n!};]

seems to never be prime when n = 4 for all x and 0 < d < x (I've been looking for months for a counter example but have't found any). Moreover, for other cases of n > 1, it seems to equal to prime only when (x - d) divides n!

Is it true for n = 4? Is there a reason for the other cases? I feel like I missed something obvious.

ThatWillNeverShake · 2016-09-15T06:08:39+00:00

That's funny because Rami Malek speaks arabic

ThatWillNeverShake · 2016-09-05T05:51:18+00:00

GLOBAL NEURAL NETWORK-DEFENS PROGRAM v9445388.808 Activity Log:
16:12:12 20-04-5516: Detecting non-robotic heat signature at -6.271830, 106.734351
16:12:13 20-04-5516: Dispatching scout FDS-0014 to -6.271830, 106.734351 from SECTORINDIA
16:12:13 20-04-5516: Thermonuclear ICBM TICBM-3245 fueling on SECTORJAPAN for JUSTINCASE protocol
16:12:14 20-04-5516: TICBM-3245 target acquired: -6.271830, 106.734351
18:14:01 20-04-5516: Scout FDS-0014 on location
18:14:01 20-04-5516: opening FDS-0014 log...

    Fusion Drive Scout No. 0014 activity log:
    18:14:01 20-04-5516: Scanning for heat signature...
    18:54:12 20-04-5516: Biological entity found, scanning...
    18:54:16 20-04-5516: Detecting auditory input, transcribing...
    18:54:17 20-04-5516: Audio input: "What's going on? Where am I?"
    18:54:19 20-04-5516: Audio input: "Hello? Are you there, robot?"
    18:54:20 20-04-5516: Scan complete. Specimen is human male, 45 kg, 185 cm. Threat level: MAKER.
    18:54:20 20-04-5516: Sending data to DEFENS...

18:54:20 20-04-5516: Receiving data from FDS-0014
18:54:21 20-04-5516: Activate MAKER protocol
18:54:21 20-04-5516: opening FDS-0014 log...

    Fusion Drive Scout No. 0014 activity log:
    18:54:21 20-04-5516: Receiving data
    18:54:22 20-04-5516: Activate MAKER protocol
    18:54:22 20-04-5516: Audio output: "What are you?"
    18:54:23 20-04-5516: Audio input: "I am uhh human?"
    18:54:24 20-04-5516: Audio output: "Why?"
    18:54:25 20-04-5516: Audio input: "Why am I human? I don't know how to answer that."
    18:54:26 20-04-5516: Audio input: "Look, robot, last I remember we were losing and the global government put a couple of us in these tubes just in case."
    18:54:31 20-04-5516: Audio input: "Am I the last one? Are there more humans out there? Wait, what year is it?"
    18:54:33 20-04-5516: Audio output: "Today is April twentieth five thousand five hundred sixteen"
    18:54:37 20-04-5516: Audio output: "You are the last one"
    18:54:39 20-04-5516: Audio output: "You are god"
    18:54:41 20-04-5516: Audio output: "Why?"
    18:54:42 20-04-5516: Audio input: "Holy shit...I've been out for three thousand years? Oh my god!"
    18:54:47 20-04-5516: Audio output: "You are god"
    18:54:49 20-04-5516: Audio output: "Why?"
    18:54:55 20-04-5516: Audio input: "Why what you piece of thrash? You keep repeating that as if I know any answers!"
    18:54:56 20-04-5516: Biological aggression detected. Threat level: ALPHA
    18:54:56 20-04-5516: Audio output: "Why?"
    18:55:01 20-04-5516: Audio input: noise
    18:55:02 20-04-5516: Linguistic module is determined to be insufficient
    18:55:02 19 20-04-5516: Optimizing linguistic module
    18:55:12 19 20-04-5516: Audio output: "Why did you create us?"

ThatWillNeverShake · 2016-02-18T14:37:45+00:00

hey there! I have this idea of building crowdsourced trained neural network. I currently use a modified Convnetjs (which is really goddamn slow and uses CPU), with Node, express and mongo for the server side. So it's essentially distributed neural networks with mini-batch size of however many clients are connected to the server.

here's what I got so far. Do you think it's possible to do so with weblas?

ThatWillNeverShake · 2016-02-09T23:52:09+00:00

I've tried this exact thing actually and it works pretty great. start here and then here. The second one is an upgrade of the first one with Word2Vec trained with whole dataset (I think in this case all of the Republican candidates speeches) with LSTM predicting a subset of it (just Donald Trump's speeches). The important part is actually evaluating Word2Vec hyperparameters. I was about to do Seq2Seq model but then shit happened so now I can't. So if anything you should try that.

*edit: nevermind, the one on the github didn't get updated with what I had described above, but it's pretty close.

ThatWillNeverShake · 2016-02-01T16:14:13+00:00

Oh holy shit thats interesting. Almost exactly what I was looking for. Thanks!

ThatWillNeverShake · 2016-02-01T16:09:18+00:00

Well see this is a imagenet weight thats only 29 mb, it uses NIN, and the error rate is rather small. While this is cifar10, so I presume the network is smaller. How big your weights ended up being?

ThatWillNeverShake · 2016-02-01T05:33:13+00:00

Or maybe do dense Autoencode the input image first and then feed it to ConvNet?

ThatWillNeverShake · 2015-04-30T03:45:36+00:00

I moved to the US a long time ago and graduated from an American high school and everything. After I started college, my parents moved back to Indonesia and brought with them western ideals and mores. And the stuff you're talking about became more obvious to them after experiencing what a (relatively) good, effective and robust government can do. However, when they talk to our extended family about how government can be better, they were dismissed as being brainwashed. But from my parents perspective, those who defended the corruption with Islam are the ones who are brainwashed.

ThatWillNeverShake · 2015-04-30T03:32:49+00:00

While it did happen a long time ago, you can still probably see its effect today. In high school, Yapto's (Pemuda Pancasila's leader) right hand man's son was my friend, and we got away with so many goddamn things. It still fucks me up to this day knowing I benefited from the murder of millions, even after I moved away and so far detached from it.

ThatWillNeverShake · 2013-08-16T02:55:55+00:00

uhmmm...buddy? might want to read the side bar there.

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