It would! This is just an extra layer of data they can use to identify and infer!

Sooooo. This is actually scarier than it may seem…

You can tell what outlet or building a phone is plugged into sometimes by micro aberrations in power output.

Also interestingly you can kind of tell what webpages somebody visits by their phone’s power usage:

https://www.researchgate.net/publication/284567929_Current_Events_Identifying_Webpages_by_Tapping_the_Electrical_Outlet

edit: for stuff like this they kind of need existing power profiles to like compare against, so this is sometimes used to tell if you’re “at home” by identifying the charging profile of the charging apparatus you use at night etc.

It’s pretty scary what information you can infer from geolocational data, it’s why you should try your best to not use it as much as possible.

When an app asks for your location only give it the minimum geolocation and time if you’re absolutely sure it needs it (for delivery make sure there’s not a place you can manually enter the dropoff location first, etc).

Also, “fine location” is a much more invasive technology than people think. Apple and Google have giant databases of Wifi broadcast locations and associated positions, which is what gives you the “more accurate location.”

If you want to help do your part to mitigate that turn off your router’s SSID broadcast and make sure none of your devices attempt to “auto connect” to your wifi.

Aren’t there a lot of split units in Europe? Here I just needed an IR blaster to make my AC(s) “smart”.

And do what? Sentiment analysis on the conversation you were having?

Remember semantically aware models are still fairly new and even they lack the context for a particular field of text. That’s something even the new fancy LLMs struggle with.

Unnecessary when there’s way better targeted models trained on years of data that people willingly send as part of everyday smartphone use.

If you use android google grabs your GPS data regardless, you have to root and disable it.

Apple does the same thing but they didn’t have their pants occupied by third-party network’s fingers like google did until the pixel came out.

Google maps is basically a beacon for AdMob to target you nearly perfectly.

Also using “fine location” in any app grabs the nearby wifi list and sends it to Google/apple if it’s not cached.

Also most ad providers these days have made deals with major networks that let them tell what tower your IMEI pinged off of.

It’s why google tried to push android/ad IDs, way less info for the networks to advertise over, and it also put the tracking in their hands instead.

Libreoffice has a database engine and frontend that’s pretty applicable to Microsoft Access

I used to work for a mobile advertiser, and we installed hella bloatware on phones.

This idea was floated a couple times but was deemed not very effective cause you’d have to store and process hours and hours of audio data that didn’t tell us much more than just having a week or so of GPS data, your Facebook profile, and your phone IMEI.

It’s pretty easy to see if you’re near a Popeyes and what other IMEIs are connecting to the same tower, extrapolate that to you being near your wife and you and your wife thinking about shit on the Popeyes menu.

Boom targeted ad/video for fried chicken.

The rest is general tech paranoia leading to Apophenia.

There’s no microphones or cameras, it’s just the already gigantic mountain of data anyone who uses a smartphone is constantly broadcasting getting ground through the big data machine that has been the pillar of all tech since the last recession.

The level that waymo operates requires an insane level of digital space mapping.

Considering san Francisco is the most 3d scanned city on the planet I’m not surprised the expansion is happening at the rate it is.

Biggest problem to open source health adoption has been the extreme unwillingness to form an international standards group around diagnoses and labeling.

Closest we have is the WHO with ICD but for some fucking inane reason it’s only used reliably by the second and third world. (Ironically this means most African countries have freakishly good digital MAR interop when they can afford to put in a system that uses those standards.)

If you enjoy this sort of stuff make sure to support the Kiwix Project which like 90% of these commercial offshoots are based off of.

I’m reminded of that AI-written book that misidentified poisonous mushrooms.

I wish philosophy was taught a bit more seriously.

An exploration on the philosophical concepts of simulacra and eidolons would probably change the way a lot of people view LLMs and other generative AI.

Don’t they charge per token?

So they’re also making money every time somebody says please or thank you…

Hledger!

Command line, plain text files so anything can read them, and GPL!

According to the Trump that’s exactly what he wants, countries to sell off the bonds they have in exchange for super long term bonds that defer interest for like 100 years.

You really gotta hope those 5-10% LLM interpretive miss rares don’t hit your particular case.

Also if it fucks up, the doctor is still liable for malpractice right? Or do they get to kick that ball down into the abyss of trying to get LLM companies to take responsibility for their products.

In terms of getting to an exact location, the most efficient is no vehicle, walking.

Cars are less efficient, followed by busses, then probably trains, then boats, then airplanes (unless you parachute).

Cars are the least efficient in terms of moving large numbers of people from places they can then walk from.