The EFF reporting about Fog Data Science’s sources is unsure of the ultimate source of the data.
But if you’re concerned about the sources used by data brokers in general, collection and use of location data by corporations is pretty much unregulated, so it’s fair to assume that brokers use every trick they can, including buying from anyone who sells the information. Which the carriers are widely believed to do, but are kinda hush hush about it.
Using a simple flip phone with no app ecosystem would fix this, right?
Probably not.
The cell phone network will need to know where every subscribed phone is, in order to be able to route simple phone calls and text messages. In the old days, that might have meant very broad ideas of which areas were covered by which towers (often divided into 3 slices of 120° each from a single physical tower), and maybe some timing data to understand how much to offset the signal timing to make up for the speed of light.
But each generation of cell phone technology has been about adding more capacity into each wireless frequency, and the towers have specialized tricks for transmitting and receiving on the same channel at the same time with different devices, by getting more precise about transmitting or listening in very specific directions and distances, with spatial signatures that distinguish between devices. It’s all very cool and mathematically beyond my understanding, but the result is that the towers have much more precise location data about the actual handsets.
So the cell phone companies have your location data. The question becomes whether they sell them to location aggregators who resell the data on the open market, and whether some of the buyers of that data are law enforcement agencies without a warrant.
Unintuitive locked down garbage that can’t do anything a PC can’t do for half the price.
From the user perspective, enterprise managed Windows is locked down, too, and somehow less reliable.
Most of the software engineers I know in FAANG and similar tier companies use Macbooks to program. Poke around a coffee shop in the bay area during a weekday and look around.
And personally, I switched to Mac about 15 years ago mainly because dependency management and the shell made more sense to me coming from Linux. Windows has always been trash, and most other non-Apple OEMs make the actual physical laptop experience worse (hinges, behavior on closing the lid, trackpad behavior and size, power management, display quality in both brightness and pixel density, webcam/audio behavior).
They tightened up the rules on IPOs after so many companies with no futures basically pumped and dumped their stock on the public. Now the way to dump on public bagholders is through SPAC mergers.
Ever since Lion King came out the “wildebeest” name has been much more common.
But the most commonly used logo for the GNU software is an anthropomorphized gnu.
In the software, the official position is that the G in GNU is pronounced. But for the animal known as a gnu, the g isn’t pronounced.
Yes. There were plenty of people saying “but this business doesn’t have a path to making more money than it spends.” There was, at the time, serious doubt about internet advertising as a viable business.
And the companies building out the telecommunications infrastructure. Between the 1996 reforms creating a lot of redundant competition for competing telecommunications networks, mania about the information superhighway, there was basically never going to be a way for these companies that spent billions deploying real resources in creating telecommunications lines to make enough money to even make their interest payments. So they mostly went bankrupt and their assets got sold to others at a fraction that it cost to build them.
Warren Buffett sat the whole thing out and his portfolio significantly underperformed the market as a whole. His philosophy of only wanting to invest in companies that he saw as undervalued, with a low price for their earnings or dividends or general enterprise value, didn’t work really well for the prevailing investor sentiment at the time.
briefly released millions of tracks that were scraped from Spotify via BitTorrent.
That’s just an awkward sentence construction but it makes sense: they released track via Bittorrent. The tracks were scraped from Spotify.
I sold my car that was purchased from a dealership via private party sale.
I charged my laptop that normally accepts 100W via a 20W phone charger.
I would’ve used a “which” phrase with commas to avoid the confusion, but the sentence as written is valid and makes sense.
You can reason from a few principles:
So when people start making claims about things with clear, objective definitions (a win condition in chess, the fastest route to take through a maze, a highest lossless compression algorithm for real world text), it’s reasonable to believe that the current AI infrastructure can lead to breakthroughs on that front. So image recognition, voice recognition, and things like that were largely solved a decade ago. Text generation with clear and simple definitions of good or bad (simple summaries, basic code that accomplishes a clearly defined goal) is what LLMs have been doing well.
On things that have much more fuzzy or even internally inconsistent definitions, the AI world gets much more controversial.
But I happen to believe that finding and exploiting bugs or security vulnerabilities falls more into the well defined problem with well defined successes and failures. So I take it seriously when people claim that AI tools are helpful for developing certain exploits.
but isn’t the memory on the Neo on the same die as the processor?
Not actually on the same die, but in the same package, stacked on top using TSMC’s Integrated Fan-Out Package on Package (InFO-PoP).
So the memory still needs to be sourced from memory manufacturers, sent to TSMC, and then have TSMC package it all together in a single package. It’s unclear whether they had locked up this supply at pre-AI prices, though. The underlying A18 Pro chip/package was annoinced and launched about 18 months ago, so if they had the manufacturing pipeline set up for that they might have kept the contractual rights to continue buying memory at the old prices.
No, it’s not volunteering, at least not anymore.
Subpoena is legal Latin for “under penalty,” because noncompliance with a subpoena carries a penalty.
Originally, it was an information request from the feds, and Reddit refused. Then they escalated to getting a grand jury subpoena (which means they got a bunch of normal citizens to agree that the information was relevant to a criminal investigation), so now noncompliance carries a penalty.
Reddit notified the users, who hired their own lawyers, who are resisting the subpoena and will litigate it to where they need a judge to decide whether Reddit will have to turn the information over.
That’s the process for these things, and we’re a couple steps in already.
Jevon’s Paradox is that when there’s more of a resource to consume, humans will consume more resource rather than make the gains to use the resource better.
More specifically, it’s when an improvement in efficiency cause the underlying resource to be used more, because the efficiency reduces cost and then using that resource becomes even more economically attractive.
So when factories got more efficient at using coal in the 19th century, England saw a huge increase in coal demand, despite using less coal for any given task.
I think it’s worth being clear about the scope of the rating. iFixit has always been about repairability defined by parts availability, and its ratings consider software restrictions only to the point where it interferes with the user experience when replacing parts to restore things to the original performance.
Customizability (in software or otherwise) isn’t part of the score. Durability/longevity isn’t part of the score, either. Those are things that I want, too, but I can recognize those are outside the scope of what iFixit advocates for.
I do have some concerns about the partnerships creating a conflict of interest, but sometimes that feedback loop is helpful for improving the product, where the maintainer of a standard also has a consulting business in helping others meet that standard. Ideally there’s a wall between the two sides (advisors versus raters), but the mere fact that one company might do both things isn’t that big of a deal in itself.