Or Barbra Streisand's 1969 acceptance speech.

The Trash 80s? Had a Commodore PET 3032. A whole 1 megahertz. On the other hand, the IEEE 488 meant that I could send a command to one disk drive to transfer to a second disk drive, whilst printing, with the computer then totally free to actually do other stuff. SCSI it wasn't, but for the time, it was an ingenious solution to a lot of problems.

Sheer luxury, lad! Sheer luxury!

We had to make our own bits and push them uphill! Both ways! In the snow!

Pah, youngsters.

However, some of you might be old enough to remember the April 1st when the front page turned pink and a link to Cute Overload caused absolute chaos. Did CmdrTaco ever get a pony, btw?

Every digital cinema camera I've ever heard of has XLR inputs. So if you don't mind being tethered to the boom operator, you don't necessarily even need a field recorder. It all depends on what you're shooting and where and how.

But yeah, decent mics are cheap enough now that even low-end DSLRs have at least survivable mono audio.

Not necessarily. Canvassing can also bring broader attention to something. For example, I'm hearing about this, and my politics don't align with his, but now I'm curious what the issue is about, and might actually pay attention to it.

At some point, it stops being a mob and starts being a vote. And while it makes sense to not allow people to drag random folks onto the platform just to vote your way, it doesn't make sense to limit voting on an important issue to the 0.1% of users who pay close enough attention to notice. So I can see both sides on this one.

Maybe the right thing to do is to require a certain level of activity to earn the right to vote, then dump the canvassing rules. That way, any canvassing would only serve to increase turnout, rather than truly padding the ballot box.

And the number of false convictions (roughly 25% of those convicted in the US) doesn't cause a problem for you?

Then you're part of the problem.

Doesn't even need time code. FCP lines up the files by matching the audio, mostly, IIRC. Also AFAIK, digital cinematography is pretty much the norm at this point, so film likely doesn't factor in most of the time.

Final Cut Pro can already basically do that, and has been able to do that for several years. Just create a multicam workflow and tell it to synchronize by audio. Not sure how well it works if you're dealing with hundreds of short takes though; I've only used it to line up hour-long continuous shots.

Then again, as cheap as storage is, I'm not sure why anybody actually stops the cameras and audio recorders anyway. If you want to have a private conversation, you can always step off the set and do it in a hallway or whatever.

The iPhone 6s (released in 2015) got a security update last month. So that's almost 11 years and counting.

Define "enough". Even 1 percent of the federal budget would be 74 *billion* dollars. The budget shortfall for road maintenance in the U.S. is about 86 billion, so even if it is only 1%, that money would be enough to almost completely fix a major problem that affects us all.

US: 66% (Wall Street's numbers aren't those found in official statistics)
UK: 28.9%
Holland: 23%
Norway: 16%
China: 6%

US' conclusion: The rate is a complete mystery, we've no idea how to decrease it, let's do more of what we're currently doing differently to everyone else.

There is a slight possibility this may be flawed.

There are no large sources of waste, unless you count "money spend for things we don't agree with". That said, I think you underestimate how much waste results from people doing things that computers could do, but which nobody has spend the money to automate.

It has seemed to me, for a very long time, that modern AI systems would need to be integrated with standard RDBMS systems for reliable persistant storage of raw information, some sort of no-sql database (memcache or some variant) for persistant storage of associations, some sort of document database for blocks of textual information, a SPARQL system for searching semantically-marked information within the document database, and a more old-fashioned back-propogation NN to provide a store of understanding that the user can directly manipulate.

Probabalistic classifiers are all fine and good, but only for a subset of the tasks needed. The above structure is a very loose, wildly-speculative initial framework. It's almost certain that if you actually tried building an integrated multi-model system, that you'd end up making a lot of changes to this basic idea, but that you'd end up having to implement the same core concepts that are identified in it.