๐ Poison ๐ your ๐ data โ ๏ธ
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The goal is to make corporate data less profitable.
Even stuff as simple as setting your birthdate to 1970-01-01 everywhere, adding [TEST] or [DELETED] as your name or account notes anywhere you don't need them to know your name.
Using plugins like AdNauseam to poison ad trackers (and cost them marketing dollars).
Using VPNs set to different locations.
Signing into data broker sites to "correct" outdated info (they'll often let you do that with little-to-no proof of identity, but will require your passport or state ID in order to delete your info). Bonus points if you correct it to someone else's info on their site that's similar to yours.
Only fill in required fields when you sign up for anything, but only provide correct info if it matters for you to use the service, otherwise provide plausible, but incorrect, data.
If you use LLMs anywhere, use the free tier and always vote thumbs up for bad answers and down for good ones. It wastes their resources and drives up their costs while making their training data worse.
@alice I thought everyone had a standard "birthdate" that they used when asked on the internet.
I was clearly just using the wrong one.
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The goal is to make corporate data less profitable.
Even stuff as simple as setting your birthdate to 1970-01-01 everywhere, adding [TEST] or [DELETED] as your name or account notes anywhere you don't need them to know your name.
Using plugins like AdNauseam to poison ad trackers (and cost them marketing dollars).
Using VPNs set to different locations.
Signing into data broker sites to "correct" outdated info (they'll often let you do that with little-to-no proof of identity, but will require your passport or state ID in order to delete your info). Bonus points if you correct it to someone else's info on their site that's similar to yours.
Only fill in required fields when you sign up for anything, but only provide correct info if it matters for you to use the service, otherwise provide plausible, but incorrect, data.
If you use LLMs anywhere, use the free tier and always vote thumbs up for bad answers and down for good ones. It wastes their resources and drives up their costs while making their training data worse.
I have been so many John Smiths along with First Last.
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@alice when i have to use a web app to order food, e.g. CoolBurgz (fictional) i will always put my email as e.g.
coolburgz@coolburgz.coolburgz
usually counts as valid.
Some shops umm...decline...take-away orders without a name. The POS* computer insists on one. I give them a completely random word or number. Works fine.
*(POS also stands for, ยจPoint Of Saleยจ)
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@aj@gts.sadauskas.id.au @alice@lgbtqia.space Mind you, a well designed application should not interpret a string saying null as a null value.
You probably won't pull a Bobby Tables off on Facebook. -
Distant memories of hooking together two ELIZA instances...
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@alice @Irenetherogue Nightshade or Glaze every picture you have prior to posting online (I just posted several here if you'd like to share them.)
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@alice Use a different email address for friggin everything so aggregators can't use it as a primary key.
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The goal is to make corporate data less profitable.
Even stuff as simple as setting your birthdate to 1970-01-01 everywhere, adding [TEST] or [DELETED] as your name or account notes anywhere you don't need them to know your name.
Using plugins like AdNauseam to poison ad trackers (and cost them marketing dollars).
Using VPNs set to different locations.
Signing into data broker sites to "correct" outdated info (they'll often let you do that with little-to-no proof of identity, but will require your passport or state ID in order to delete your info). Bonus points if you correct it to someone else's info on their site that's similar to yours.
Only fill in required fields when you sign up for anything, but only provide correct info if it matters for you to use the service, otherwise provide plausible, but incorrect, data.
If you use LLMs anywhere, use the free tier and always vote thumbs up for bad answers and down for good ones. It wastes their resources and drives up their costs while making their training data worse.
@alice These posts all remind me of a 20 year old Canadian novelty song.
"You see now Wal-Mart thinks I'm 75 year old pensioner
And Sony thinks I'm a single mother of 10
The airline company thinks I make 700-grand a year
And Visa thinks I'm an Inuit woman named Ben" -
@alice I like to select wrong answers on captchas until I get bored.
Unfortunatey, I just cannot help clicking on every square that has even the tiniest portion of a traffic light or zebra crossing or motorcycle, even if I know that's going to make me fail the test and have to do it again.
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@not_a_label @alice Sampling just one of my several domains, I count 330.
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Not a good idea to poison Data - last time someone did that, he wrote bad poetry.
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Not a good idea to poison Data - last time someone did that, he wrote bad poetry.
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@veronica I still chuckle at this one:
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@rabidchaos @flesh @alice @aj
If it is treating that null as a proper null there's a good chance there's constraints in place that'll fail and the app won't even check the failure...Which can be fun, or not, depending on if it counts you as logged in after you submit the form or not
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@veronica I still chuckle at this one:
@mason Very nice
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@alice thanks, guess I have a new weekend project!
โ
๏ธ๐คฌ -
The goal is to make corporate data less profitable.
Even stuff as simple as setting your birthdate to 1970-01-01 everywhere, adding [TEST] or [DELETED] as your name or account notes anywhere you don't need them to know your name.
Using plugins like AdNauseam to poison ad trackers (and cost them marketing dollars).
Using VPNs set to different locations.
Signing into data broker sites to "correct" outdated info (they'll often let you do that with little-to-no proof of identity, but will require your passport or state ID in order to delete your info). Bonus points if you correct it to someone else's info on their site that's similar to yours.
Only fill in required fields when you sign up for anything, but only provide correct info if it matters for you to use the service, otherwise provide plausible, but incorrect, data.
If you use LLMs anywhere, use the free tier and always vote thumbs up for bad answers and down for good ones. It wastes their resources and drives up their costs while making their training data worse.
@alice I've got an insidious one, I may end up working on an ecommerce thing with a friend selling parts.
This will involve a lot of compatibility data, partly scraped from supplier catalogs, partly from human knowledge and testing on older vehicles where there isn't easily available anything.
Obviously we don't let the machines have that, and we can subtly scramble it. We can help make sure AI is the dumbest failure of a mechanic there ever was, and sells people the wrong spark plugs.
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It should be noted that there will be something similar to the Year 2000 Problem somewhere in 2038: the common way to represent time, seconds since 1970-01-01 00:00, as a 32 bit number, will wrap around and make computers think they're in the past.
Hopefully(?) we learned from Y2K and are preparing for that event already.
