I think for most people it's far too late, as there exists at least something on the internet and that something is sufficient - photos can be aged virtually and a single photo is enough, voice doesn't change much and you need only a tiny sample, etc.
And that's the case even if you've never ever posted anything on your social media - it could be family&friends, or employer, or if you're ever been in a public-facing job position that has ever done any community outreach, or ever done a public performance with your music or another hobby, or if you've ever walked past a news crew asking questions to bystanders of some event, or if you've ever participated in some contests or competitions or sports leagues, etc, all of that is generally findable in various archives.
> photos can be aged virtually and a single photo is enough
I'm sure AI-based ageing can do a good enough job to convince many people that a fake image of someone they haven't seen for years is an older version of the person they remember; but how often would it succeed in ageing an old photo in such a way that it looks like a person I have seen recently and therefore have knowledge rather than guesses about exactly what the years have changed about them?
(Not a rhetorical question to disagree with you, I genuinely have no idea if ageing is predictable enough for a high % result or if it would only fool people with poor visual memory and/or who haven't seen the person in over a decade.)
I feel like even ignoring the big unknowns (at what age, if any, will a person start going bald, or choose to grow a beard or to die their hair, or get a scar on their face, etc.) there must be a lot of more subtle but still important aspects from skin tone to makeup style to hair to...
I've looked up photos of some school classmates that I haven't seen since we were teens (a couple of decades ago), and while nearly all of them I think "ah yes I can still recognise them", I don't feel I would have accurately guessed how they would look now from my memories of how they used to look. Even looking at old photos of family members I see regularly still to this day, even for example comparing old photos of me and old photos of my siblings, it's surprising how hard it would be for a human to predict the exact course of ageing - and my instinct is that this is more down to randomness that can't be predicted than down to precise logic that an AI could learn to predict rather than guess at. But I could be wrong.
Maybe it's Europeans posting this kind of stuff where they have much stronger privacy laws, but if you're in the US this is all wishful thinking.
Do you shop in large corporate stores and use credit cards? Do you go out in public in transportation registered to you?
If yes, then images and habits of yours are being stored in databases and sold to data brokers.
And you're not even including every single one of your family members that use internet connected devices/apps that are sucking up all the data they can.
I was just asking about the ability of photo aging software, not commenting about privacy at all. Though yes, I am thankfully in Europe (but there are recent photos of me online).
But don't disagree with you - in a different comment that was about privacy, I (despite living under GDPR) suggested that for offline verification with known people it's better to choose secrets that definitely haven't been shared online/anywhere rather than just choosing random true facts and assuming they couldn't have been found out by hackers: https://news.ycombinator.com/item?id=40353820
And that's the case even if you've never ever posted anything on your social media - it could be family&friends, or employer, or if you're ever been in a public-facing job position that has ever done any community outreach, or ever done a public performance with your music or another hobby, or if you've ever walked past a news crew asking questions to bystanders of some event, or if you've ever participated in some contests or competitions or sports leagues, etc, all of that is generally findable in various archives.