This is exactly it. The promise of technology that I remember from the 90s was that anyone would be able to stand up a simple static website for their antique store or tractor repair shop without becoming domain experts in LAMP. These aren't necessarily dumb people (although some are pretty dim), but they are fairly ignorant of all things tech related.

Instead, some forces appear to have pushed us into a place where many organizations feel overwhelmed and either hire contractors (which turn out the same garbage) or just don't adopt the latest technology.

WordPress is one of the few forces pushing in the other direction, trying to democratize technology into a tool that anyone can employ.

“There’s a general concern in the tech community of somehow the military-industrial complex using their stuff to kill people incorrectly”

If there's ever a sentence where one word changes the entire context of a statement, it's that one - and the last word.

That word is redundant from the perspective of the tech community, but extraordinarily menacing when tacked on to the statement like that.

Don't be evil. Incorrectly.

I work in tech support, and after years and years of scare pieces on the news, this has been a long time coming. A large percentage of the people I work for are paranoid about all cookies. Cookies are bad! Cookies will destroy your computer! Some of these people clear out ALL their cookies daily or weekly, even though I've told them they only need to be concerned with scanning for tracking cookies.

Not that we should cater to ignorance, and not that this problem won't go away once there are no more Boomers to hold these views. But I do feel like if you get better results with other kinds of advertising, tracking cookies are a stupid form of marketing because every anti-malware tool available knows how to remove them and will encourage users to do so.

> I have introverted engineers that think writing down a question is a sign of weakness, and are deathly afraid of asking a question over the phone First, make sure you're dealing 1-on-1 with them, not in a group/scrum situation. Try doing pair programming with them. Be sure to chat about non-tech stuff, get them comfortable with you. Be sure and ask *them* questions, give them a chance to assert their intelligence and utility for you. No doubt though, "management by walking around" is powerful and useful.

There's a good article in the Regimental Standard about letting AI drive military drones being ungodly as well.

Company tend to use new technology for tracking now. Keep reading Slashdot to find out these latest trends, where we post great article in the realm of Tech, Al, Politics, Net Neutrality, Hardware, Linux, etc.

Because replacing the cooking method for the primary item on your menu costs substantially more than $60K? Consider for a moment the only change they're making is replacing a person with a machine that imitates the action the person should be doing. That's it. In this case, Caliburger is open 72 hours per week. The general trend of late is for people to demand $15/hr for this type of labor (I disagree with this but that's a personal opinion). The math here is simple. Flippy works the 72 hours per week that they're open replacing one employee (possibly more than 1 but let's be generous and assume just 1). Flippy costs $60K, Employee hours at $15/hr costs the employer $17.32/hr when you add the FICA and Cali's state payroll employer contribution. That means that Flippy's $60K cost is roughly paid for in 3464 employee cost hours...or 48 weeks and 1 day. I say roughly because Flippy is new tech, is working in harsh environment (grease, heat, abuse by the ignorant human workers, etc) and will have maintenance costs associated with it. Point is, on a simple cost benefit analysis, Flippy won't be calling in sick (he may break though), he won't be causing drama in the workplace, won't be spitting in the food, won't be stealing cash from the register but will be performing his tasks to a uniform perfection. The product will be the same or arguably better, certainly more consistent and, after 48 weeks of service, will be cheaper on the surface than the human employee option. What's interesting is how many people exclaim negatively about this development. This is just the tip of the iceberg too when it comes to reaction from demanding unrealistic wages for simple work. You can get your way today...but you just now priced your job into a category that is now plausibly doable by a machine. Vehicle assembly workers from the 1980's and 90's are wondering how some folks missed this memo. The good news is that with the burger flipper job dead and gone, the former burger flipper now has the opportunity to learn how to fix and maintain Flippy...until and unless he demands stupidly high wages for that in which case someone will build Flippy better and make him self maintaining.

And they know they don't have the product to draw new customers. Hell, they don;t have the product to draw old customers. Or dedicated, repeat customers.

So they are moving to reserve seating, plush, to simplify and enhance the experience. recliners actually help shield the light from the stupid iPhone X in front of me, so it's a deal, I don't have to waste 45 minutes to get the seat I actually want, and if I go solo I can go get my popcorn just before trailers and not lose my seat.

They are also going to change the mix of movies, slowly, but for a while inevitably. More family/values movies will come out, short runs with relatively low budgets, just as the 'swimming pool' and blog/guts movies will be intended for short run, lower budgets. Tech is helping as more production goes all digital, but cheaper movies can move through faster, and more product is always good for the studios. the exhibitors just want fresh to keep the seats
filled.

But this can still fail. Watch for more talent to go do non-movie 'projects', try their hand ad producing what THEY think is what we want (as in what THEY want), and ultimately see the streamers keep generating good original content to keep us out of the theaters.

Change. It is good.

There has been plenty of long-term research on this topic under the name "defect prediction". It is actually one of the best (or few..) suited application areas in the software engineering processes for machine learning. You get an obvious set of training data. Record all the bugs found, issues reported, match them to fixing patches (or whatever you call it, fix locations to code in practice). Label those places/parts of code as "error-prone" before the fix. Maybe take the "after" part as an example of non-issue. Train your machine learning classifier.

It's been done for a long time. Much like most semi-academic application areas, this is again done with university-company collaboration. Because no company on itself ever wants to get into this type of stuff due to seeing little real benefit beyond your basic, easily available and applicable, analyzers, and writing those (unit) tests that you should write anyway. In similar way to topics such as "regression test optimization". Decades of slapping on it, minor improvements if any, but with creative reporting, always some Uni finding a "partner" to get funded and help them put the academics to little bit of practice, as it otherwise is not so profitable.

So here they found a better known company (Ubisoft) and decided to call machine learning AI, brilliant hype generated. Now lets have a project meeting and report to our funding agency about how we made world-wide news with our super-AI tech and globally big companies. OMG have many more millions you so good. Because the funding agency will not understand jack about what is going on there, and if they do, they will still be impressed someone made something working in some way. Which sadly is a true achievement in that context. ...

They claim it can be accurately time-stamped, but at the moment it's at the level of pseudo-science since the method hasn't been published in any detail or rigorously reviewed and tested.

Since it's not publicly available it's also vulnerable to tampering - the police could stitch together multiple recordings and simply claim the hum proved they were all recorded sequentially and you would have little way of proving otherwise. It's also very likely that with knowledge of the algorithm used you could add your own fake hum to any recording.

It's just the latest bit of tech that the police like to wheel out CSI-style, as older ones like fingerprints and DNA samples get debunked.

No killer app, and I'm not so sure about a generation 2 or 3. Without game developers getting behind it, VR is going to have a hard time getting anywhere. The problem is that it takes a lot of work to make a game do 3D properly, and most don't seem to want to invest.

For now it is looking similar to the 3D gaming from a few years ago. That tech never matured and quietly died.

I love to play games on my 3D tv, but it usually takes me a whole evening to configure just one game right. Same thing with many games on VR.