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UK's Top Police Warn That Modding Games May Turn Kids into Hackers (vice.com) 132

Joseph Cox, writing for Motherboard: Last week at EGX, the UK's biggest games event, attendees got a chance to play upcoming blockbusters like Battlefield 1, FIFA 17, and Gears of War 4. But budding gamers may also have spotted a slightly more unusual sight: a booth run by the National Crime Agency (NCA), the UK's leading law enforcement agency. Over the last few years, the NCA has attempted to reach out to technologically savvy young people in different ways. EGX was the first time it's pitched up to a gaming convention; the NCA said it wanted to educate young people with an interest in computers and suggested that those who mod online games in order to cheat may eventually progress to using low level cybercrime services like DDoS-for-hire and could use steering in the right direction. "The games industry can help us reach young people and educate them on lawful use of cyber skills," Richard Jones, head of the NCA's National Cyber Crime Unit's 'Prevent' team, told Motherboard in an email. "Through attendance at EGX and various other activities, we are seeking to promote ethical hacking or penetration testing, as well as other lawful uses of an interest in computers to young people," Jones said.

Comment Perl... (Score 1) 348

but I bet that most of the code I write is in posix sh, bash or perl

Perl, yeah. I like it a lot too.

But sometimes I need to be able not only to write, but also read what I've written.
To determine what a piece of code actually does.

Or if it was simply my cat walking over the keyboard.

Or it it was my cat that successfully patched a mission critical Perl-script by randomly walking across my keyboard...

~~~

Comment Merge conflict detected (Score 2) 48

I don't understand why the linux community is not capitalizing on the situation with the Windows 10 Fiasco and Google and Apple spying on you? This is quite the time to hit them with a secure OS. Start making deals to get Adobe products to work on Linux and others like the old Unix's did before.

Git cherry pick failed: merge conflict detected.
Please resolve manually.

Comment Re:32 bits address (Score 1) 115

You're welcome to pay for the memory upgrades to the world's routers to hold the routing table full of those /32s (16M per /8 that you've "freed"); the current full routing table is ~620k entries.

And as we all remember, 640k should be enough for everyone!

Still leaves 20k though, as long as we're mixing our units...

Comment Joke? (Score 1) 47

I think what the poster meant is that he's working on the other side of the same street.
(Or working from home), and litteraly doesn't need a complex system to tell him what are the conditions on the sole cross-read he needs to cross.

---

Alternatively, he's Scandinavian, and the traffic problems he has to face are more weather-related (read: heavy snow-falls) other than other-people related (his closest neighbour, Olaf Guntersson, lives half an hour away).

Comment German Autobahn!!! (Score 1) 47

So if your phone is going 100mph in a 45mph zone {...} if we want to catch speeders it is a much smaller data sets with less big computation.

Hallo ! Vee are the German Automakers von BMW, Daimler and Volkswagen.
Vee are tasked mit designing dis car data aggregator.

Vat is dis "Speed limit" dat you're speaking of ?
Vee have never heard about it....

(Alzo, vat are dis "mph" units ? Do you have nicht metric Zystem ?)

~~~

Comment Germany (Score 1) 47

As mentionned :
BMW, Daimler and Volkswagen are German automakers. Their bound by German laws.
And people in Germany tend to be very picky about their privacy.

The car will probably have to ask you if you agree to share you data.
With options to opt-in or opt-out.

(Though maybe the US-export model will get tempered with and will simply opt out of receiving the aggregated traffic information, but still constantly beam your position. To the NSA. And also transmit everything it can hear around).

Comment Data aggregation method (Score 1) 47

The map display in a Tesla already shows traffic congestion.

And you could probably find even older GPS units/applications that predate Tesla and still show traffic congestion.
(e.g.: old Tomtom do show traffic).
Even before the age of on-line connected cars, in Europe there were traffic information over the RDS data channel on FM stations
(and probably the same on the US equivalent ?)

The novelty isn't the traffic information, it's the way data is aggregated.

I have heard that they get the data from aggregate cell phone data. The cell towers can tell when the cellphones bunch up and stop moving.

The news here is that HERE-Maps managed to get competing automakers to work together to share their data on congestion (as determined by the connected cars themselves).
(Which could be combined with the coarser info from cell tower to get even more informations).

Comment Re:The size of the farm shouldn't matter.... (Score 2) 181

We just need someone insightful and ingenious to find a way to deal with machine learning in an 'offline' way, and be able to present the user interface in a quick fashion.

It would have to start out very dumb, but with some great key algorithms I expect an open source option could move a lot faster than anything out there in this regard.

Precisely. I don't get what the misunderstanding is here among the Slashdot crowd.

Natural Language Processing is neat tech. Mechanics of speech recognition is neat tech. Integration of the two via a dispatch engine and scriptlets to go off an search Google, run a command, or whatever else one can script, is neat tech.

I'd use this ALL THE TIME if the data didn't leave my network, and I'm sure I'm not alone.

We can't duplicate a zillion far off machines running a Google-scale cluster, but it's hard to see why we need to in OSS land. I have a spare 32 core box and God-knows-how-many GPUs sitting here. Where's the project that can let me get up and running on my own, and that we can all use to iterate over as public algorithms (inevitably) improve and storage/memory/processing costs (inevitably) decrease.

Frankly, it's difficult to see why that type of infrastructure is really needed in the first place. NLP is hard, but it's not like these building blocks aren't already there. Apple's dictation software (PlainTalk) was running on System 7.1 Pro 20 years ago, using local hardware 100's of times slower than what I have in my pocket. Basic NLP code was running on the Newton, which was 1000x slower and still managed to handle the basics on top of the handwriting recognition. "Speakable Items" let me run user-writable AppleScripts to automate tasks and was just missing dictatable variable names.

None of this required cloud-level processing, especially not voice recognition, which even Apple lets you do locally w/o using Siri.

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