yellerbadger

But using it for fingerprinting seems dubious. How many iOS users have never downloaded any extra fonts and all look the same?

The following is from https://coveryourtracks.eff.org/

To determine your system fonts, tracking sites commonly display some text in an HTML <span> tag. Trackers then rapidly change the style for that span, rendering it in hundreds or thousands of known fonts. For each of these fonts, the site determines whether the width of the span has changed from the default width when rendered in that particular font. If it has, the tracker knows that font is installed. How is this used in your fingerprint?

The list of fonts you have installed on your machine is generally consistent and linked to a particular operating system. If you install just one font which is unusual for your particular browser, this can be a highly identifying metric.

Not necessarily and this is something the article doesn’t even bring up. While people are triaged before seeing the ER doc, the ER doc’s job itself is to triage and determine whether the patient needs to be further worked up in the hospital or outpatient. Often times an ER doc may not have a clue about the diagnosis but the critical thing to be correct about is if the patient needs to stay to get worked up. They give an example about docs who think a clot is due to an anticoagulant when the AI thought it might be due to lupus. The ER doc’s concern is that the patient be observed/admitted and the internal medicine team would likely make that catch (or the rheumatologist).

People who review footage for Meta in general see all types of shit and end up scarred.

https://www.youtube.com/watch?v=cHGbWn6iwHw https://www.youtube.com/watch?v=EZLr6w7C-xY

And they tried to work with Persona for age verification until they got called out and backtracked. Peter Thiel has a stake in it. https://www.pcgamer.com/software/platforms/oh-good-discords-age-verification-rollout-has-ties-to-palantir-co-founder-and-panopticon-architect-peter-thiel/

IMO there’s a significant drop off with local LLMs vs the mainstream ones. This can be mitigated somewhat though by using web search tools or using retrieval augmented generation.