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Comment Re:I blame Trump. (Score 4, Insightful) 544

Well, that's one way of looking at it. Another way is that black people do a lot more murder on a per capita basis. As it turns out, the chances of getting killed by a white guy are less for a black person than the reverse. Which is indicative of the overall murder rate in the black community being several times (something like 5+ times) what it is amongst whites.

Some source data

Anyway paying undue attention to a single person amongst the 6k or so that are going to die this year is politically motivated, as usual.

Comment Re:I blame Trump. (Score 3, Insightful) 544

I agree with you. People say a lot of stupid things when they are drunk. But let's not let any opportunity to blame Trump go to waste, right?

And Leftists wonder why they are getting tuned out.

500 white people are killed by blacks every year and 200 blacks are killed by whites every year. One group is 70% of the country, the other is 13% of the country. I notice the same people whining about this event aren't paying attention to those statistics. A couple people assuredly died in interracial murders since that story broke.

But this one drunken fight in Kansas - we have no idea what was actually said and what provoked this - is somehow more significant.

Comment Re: Why is Amazon/Alexa even saving recordings? (Score 1) 112

Not quite true. The hardware detects a simple sequence of phonemes that might be Alexa. It then wakes up some software to try to parse the word. The data might still be shipped off to the cloud service for spurious wakeups. Names like Siri and Alexa are intentionally designed to have sequences of phonemes that don't appear commonly in English to minimise this.

Comment Re: Why is Amazon/Alexa even saving recordings? (Score 2) 112

I don't particularly worry about Amazon intentionally violating privacy with Alexa, but when you have something like that it's a wonderful target. The mute button is entirely software, so there are all sorts of things that an attacker can do if they compromise either an individual machine or the Amazon software update server. For example, it would be a trivial patch to make it stream the audio to a different cloud service when you press the mute button. Those thousands of people working at Amazon on Alexa also make it relatively easy to sneak someone into the company to exfiltrate user data. Even if their software is entirely bug-free, what happens when someone manages to do a dump of everything that Alexa has learned about a few million users?

Comment Re:R&D (Score 1) 103

Apple does a lot of Research that isn't directly product-oriented, too; a quick look at their patent portfolio will show that.

Sorry, no. It may not be tied to products that they're currently shipping, but there's a huge spectrum between initial idea and final product, and Apple has far less investment towards the idea end of the spectrum than any of their major competitors. By the time you can patent something, it's already towards the product end (and have you actually looked at the Apple patent portfolio? They patented a more efficient take-away pizza box, for example, which doesn't really tell you anything about pure research spending).

But if you think that R that is D-oriented doesn't "count", you are nothing but an intellectual effete.

It doesn't count because it's playing accounting games. The line between development and product is very blurry. Apple classifies a lot of things are R&D that other companies count as product development. This inflates Apple's R&D spending on the balance sheet, but means that you can't really compare. R&D is a pipeline and things always have to start closer to the pure research end. Most of Apple's R&D is building on pure research done by other organisations. This has changed a bit recently (particularly in machine learning), but they're still a long way behind most other big tech companies on research spending. Microsoft, until they restructured MSR a year or so ago, had the opposite problem: they were spending over $5bn/year on research and turning very little of it into products. Neither extreme is particularly healthy for a company. You need the research end to feed the pipeline, but then you need the pipeline from research to product.

Disclaimer: I work in a university and collaborate with Apple, Google, and Microsoft on several projects.

Comment Re:R&D (Score 1) 103

Apple spends serious coin on Research and Development; far more than their competition.

This is almost true, though the vast majority of Apple's R&D funding is firmly at the D end of the spectrum. IBM used to spend a lot more than Apple on research, though they've cut down a lot. Microsoft still does (around $5bn/year on MSR). These companies and Google (and Oracle, and so on) all throw grants at universities for research, which Apple doesn't. It wasn't until last the last few months that Apple even published any of their research.

Comment Re:AI Snippets... (Score 1) 329

In this respect, it's not really any different from stuff genetic algorithms have been doing for decades. If you have a set of executable tests that can tell if the algorithm is working correctly, then you can evolve something that will pass the tests. Of course, you have absolutely no idea how it will behave on inputs not covered by your tests.

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