Is this one of those cases where the TV is being subsidized by the data collection? In other words, if LG had to turn it off, would they have to charge more for the TVs?
Kind of like so many ink jet printers where the manufacturers will sell you the printer at or below cost with the expectation of making it up with overpriced ink cartridges.
Yes, but I think it's far more sinister than that. It's not just to recoup costs by showing an ad here and there, it's to "own" an advertisement and data collection front in millions of homes across the globe where the consumer is the product. It's to build a surveillance network and to lease it out or use it themselves.
Why do people seem to think that optimization is something you only have to deal with once the software scales so much that 100s of TB of memory or disk space (or thousands of hours of processing time) are being wasted.
It is almost like nobody even thought during the design phase about what might happen down the road.
This is why so much software is bloated and often buggy. Just gets something that half-way works out the door ASAP and worry about the rest later (too often, never).
It can be quite hard to predict where particular usage patterns will take a piece of software under extreme load, especially with things that have lots of internal state. Obviously when you get to spend 100 T or more the pay off of an optimization is much larger than what it is in the case of 1T or less, and your typical developer is not going to have that kind of memory even in aggregate to play with. I tend to be forgiving when it comes to watching software bloat that I did not cause myself (and yet, I'm frustrated that Ubuntu's start-up greeting message takes a whopping 500 M).
In the case of internet infrastructure I don't think there was anybody even up to the year 2000 who had any idea of how bit this was going to be. And even now we have IPV4 and lots of legacy to deal with. Cloudflare is not my favorite company, let's put it like that, but in this case they show how the sausage is made and I think that should be applauded. Much better than 'why were down again for X hours'.
El nino predictions are pretty spot on. They won't be able to tell you "There will be a storm on the 30th" but they will be able to tell you that you should expect flash floods next year.
Unfortunately for where I'm at, the prediction due to el nino is more drought, which sucks because we are already desperately dry. Hopefully the following la nina year will bring us some moisture.
Predicting El Niño vs. La Niña vs. neutral: relatively reliable.
Predicting how strong the El Niño will be: harder.
Predicting exactly what it will do to rainfall, temperatures, storms, or snowfall: substantially less reliable.
And yet people will put forth dire predictions (drought, flooding, hurricanes, tornadoes, heat waves, etc.) every chance they get. No wonder so many people think it is all a hoax.
Yes, scientists have put forth dire predictions of extreme weather. Here's the thhing though - we actually see measurable increases in the frequency and severity of extreme weather events. They put forth dire predictions.. and they are absolutely correct. It's right there in the observational record.
That's like asking how do you keep up with online news, YouTube, TikTok, or your favorite social media platform. Answer: you don't!
You browse it occasionally and read something interesting to you, then move on. Don't worry about what you missed. There isn't enough time in the day to try and capture it all.
I was facing a similar situation when I upgraded my system about a year and a half ago. I wanted to upgrade from 32GB RAM to 64GB. The kit (DDR5 6000) was $179. I knew that I might want to add an additional 64GB later on, so I had to decide if I should wait for prices to drop further.
I decided to get the extra RAM. Boy am I glad now. If I thought this was just a temporary spike, I would be tempted to sell the extra memory (I don't really need it yet), but I don't see prices falling anytime soon.
I think there are many companies that have not hopped on the AI bandwagon yet. This is why AI companies still see a huge potential for continued growth.
Some are hesitant to chase after the latest fad (fearing it will soon fade); others want the industry to shake out many of the flaws first.
We saw the same thing with the Internet. Many companies (including some really big ones) were slow to embrace it until everyone else was on board.
Right. Almost every economy is circular in some fashion. Every producer is also a consumer. Sometimes the circle is quite big, but many of the dollars (or other currency) that you spend, come back to you in the money you earn.
A distributed, object-based, general-purpose data management system. I was insane enough to try and tackle a project that needs at least a couple dozen programmers to implement all the planned features.
It does some amazing things, but is far from finished.
Writing some code that actually works for the problem at hand, can be fairly easy.
Writing code that does this while being clean and efficient is a lot harder. How many slow, buggy programs have been written because the assigned programmer did not yet have the expertise needed to do it right?
> How many slow, buggy programs have been written because the assigned programmer did not yet have the expertise needed to do it right?
Basically, all of it. By the time a programmer has enough experience to design and implement software properly they are “promoted” to some paper pushing management position.
Can you get one that displays ads on the exterior? That way you can be like the taxis and buses running around town! I'm sure the chick's will think that is cool.
Kind of like so many ink jet printers where the manufacturers will sell you the printer at or below cost with the expectation of making it up with overpriced ink cartridges.
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