378 karma · joined October 25, 2008
[ my public key: https://keybase.io/artlogic; my proof: https://keybase.io/artlogic/sigs/waxhe_DSN6dtLz6MMv79WytweL7dIEBYhscnWhdIN58 ]
I actually agree with this statement. The problem is that, in good conditions, low traction events are rare, and often caused by catastrophic conditions. In winter driving it's practically the norm, once you leave well traveled roadways.
I think AI could be trained to drive a car that only occasionally has full traction, and probably more effectively than a person given enough time. But again - it's like you said - someone needs to be addressing this case directly.
Even in highway driving you can lose traction in an instant if you hit a patch of black ice. Autonomous vehicles will need to be able to recover from a complete loss of traction safely. This isn't trivial - in fact it's probably the most complicated bit of driving I tend to do. Once you are sliding and your steering wheel becomes more of a suggestion than a command, the entire act of driving becomes a process of trying to coax the car off the road using a combination of steering, brakes, and even occasionally gas. I think it's possible for a computer to do this - but you can't avoid all slides just by driving slowly.
Then there's the plethora of other winter fun you run into with a vehicle: getting stuck (happens all the time on city streets) and all the techniques to get unstuck, going too slow and losing your momentum (and thus traction), having every indication you have traction and then discovering you actually don't (it's very easy to be driving at a "safe" speed and still slide through an intersection), white out conditions where you are guessing where the lane is... etc...
To be clear, I believe most of these conditions could eventually be handled by computers. I also believe a lot of people drive too fast in/on snow. However, winter driving is in no way simple. It's a problem domain unto itself, and one I've seen relatively little work being done on.
There's more discussion here: https://news.ycombinator.com/item?id=11953703
You can argue (and it has been, to death) whether copyright assignment is right or wrong. When it comes to GNU projects, it's the rule of law. Based on mailing list posts and contribution history, it seems like the project had probably been in questionable GNU territory for awhile, given Benno's strong role and his unwillingness to assign copyright. I'm curious to see how the GNU project will respond.
Despite the above, the water problems in Flint can't be attributed to a single thing, but rather a culmination of failures in state and local government best described as a problem of culture. Instead of a culture of openness and communication, there are indications the state, and to a lesser degree, the local government embraced a culture of only communicating good news and spinning or squashing bad news - even internally.
This community in particular seems to like the MIT License because it is quite simple and perceived as commercial friendly. The truth is, like most things, it depends on what you are trying to accomplish. Open source licenses all have an agenda. If your agenda is "Anyone should be able to use this software, for any purpose, and not hold me liable," then the MIT License is perhaps the simplest option.
In my (non-lawyer) opinion, where the MIT License falls short is in assuming that all contributors, companies, and users share the basic ideal that licensing software for free use and modification is in our collective best interest. Other licenses (Apache, GPL) try to attack this problem in various ways. It turns out it's a complicated and not fully understood domain - which is why those licenses are more complex.
The point is that there is no "best" license to use because licensing is not a technical problem - it's a social problem. Licenses attempt to address the slippery concept of community using a legal framework. In choosing a license, you want to be thinking about not just the community you are currently contributing to, but the community you would ideally like to be contributing to.
> I was able to share 15 GBs of vacation videos with 10 of my non-techie friends by sending them a read only key to a shared folder. All of them got it right away with no technical questions or issues.
I appreciate SyncThing's security first stance, but it would be incredibly helpful if it was a bit easier to share specific synced things with non-techies.
The feeling of most folks from Flint I've spoken to is that Moore made a disingenuous "documentary" about Flint not to raise awareness, but to make a buck. It's understandable he's not lauded as a hero.
I also think it's unfair to characterize the reaction of some residents of Michigan to a controversial figure at best as "Michigans backwardness".
Full disclosure: my wife works as a reporter Michigan Radio, but generally doesn't cover Flint.
window.i.am.gandalf = true
There's also something like a debug mode available by calling: window.ze.goggles()[1] https://en.wikipedia.org/wiki/Tanenbaum%E2%80%93Torvalds_deb...
I do understand that it confused the hell out of users that they had to login in with a URL, but that seems like branding and education more than a technical flaw.
I once mentioned to my auto mechanic that I was a programmer, and he invited me into the back room of his garage full of old C64 stuff. He showed me a modified C128 with an IDE interface, running his custom modded version of GEOS (Wheels). He had an accelerator hooked up to the machine and could change the CPU speed from the original C64/128 speed to something that appeared to be 10 times faster. To top off the demo, he showed me the web browser he was working on, bringing up a roughly rendered version of Yahoo's page (it was 1999) on the screen.
It turned out my mechanic was the famous (or infamous) Maurice Randall. It's worth searching for his name to learn about his accomplishments in the C64 hobbyist scene (and his unfortunate unreliability).
You seem to be a fairly adept programmer. The concept of improvisational programming makes sense for you - you draw on years of experience and training (formal, or not) to feel out a concept when you have a goal in mind but no clear way to get there. You probably perform many small experiments to learn more about the intricacies of whatever you are working on. You can do all this because you've progressed past the beginning stages.
Most beginners simply aren't capable of this. There are too many blind alleys. Too many traps. It's not that I discourage self-directed learning, experimenting or researching - all are essential to learning computer science. Rather I've seen far too many students simply resort to guess and check methodology when face with a problem. This isn't the kind of guided exploration that comes with experience but: "Adding 1 to that index didn't work - I wonder if 2 will? 3? 4? 10? Oh! 12 works! Great - I'm done!"
Incidentally, I have done data entry. My first computer was an Apple II. I used to type in programs from magazines without really understand what they were doing. Even worse, I typed in raw hexadecimal program data. I know what it's like to type something in you don't understand, find out it's wrong, tweak it, and try again ad infinitum (or so it seemed). "Does A9 work? What about AA? AC? ...AF works! Great - I'm done!"
It's this sort of introspection that's key to understanding computers. We abstract large chunks of computational thinking naturally. It's essential to be able to ask yourself, "How am I really doing this?" - and to come up with an answer.
edited slightly for grammar
More often than not, the computer facilitates a guess and check programming mentality that isn't just endemic to students, but to our profession in general. I'm certainly not immune to the temptation to fix problems by repeated runs with small tweaks: "Does it work? No... no... no... yes! Move on!" That's not computer science. It's data entry.
It's not that computers have no place in the curriculum. They can be immensely helpful in understanding of complex algorithms, much the same way performing an experiment can lead to a more thorough understanding of physics, or chemistry. However, no one would argue chemistry is about moving chemicals from one test tube to another.
However, I get the feeling you are thinking of Mac OS - this is for the Apple IIgs - an entirely different beast. However, if you're interested in running old versions of Mac OS, give Basilisk II a try: http://basilisk.cebix.net/
Most Older OSes up to 7.5.5 can be downloaded directly from Apple last I checked. I particularly liked Mac OS 6.0.8 for it's simplicity.
Exciting times for IIgs hackers!