And the solution to that is to scrub the metadata and introduce some light content fuzzing (to avoid variable keyword/phrasing inclusion traps that can be used for narrowing down leak investigations).

Like, yeah, there are hazards to doing an exfil dump like that, but if you know what you’re doing and understand the threat vectors that are likely going to be employed against you, you can cover your bases reasonably thoroughly - especially if you have a homelab with local ML/LLM capabilities that you can use (and, well, know how to use) to obscure/modify the precise phrasing of things such that it becomes way harder to attribute the leak source.

And, I’m not saying “chuck it into your local model and cross your fingers” - it would be an element of the sanitization pipeline. If you are so inclined to do this sort of thing, you should absolutely do as much manual and deterministic verification and sanitizing that you can.

It goes without saying that this is all at your own risk. But if you think it’s worth it, there are ways it can be done.

This is the weirdest fucking timeline I swear to Cthulhu

It’s so, so bad. I hate it so much. It makes me angry every time I have to do it. Especially when I try to do some sort of action that’s buried 3 menus deep but it decides to sync something at that moment and just pops you out of whatever the fuck you were trying to do.

Don’t be a whistleblower. Just exfil the data and drop it somewhere.

Maybe the imagegen model was feeling anti-fascististic? I must admit, that does seem to be a rarity.

Hell yeah!

Star Trek: The One With The Whales

Does this bring us back to 100%?

I was honestly impressed at how bad S31 was. It’s like… really bad. Like, I think they had to try to make it that bad.

Ignoring, of course, that it’s actually a constitutional matter for Ukraine

Based EU

I mean… yeah, DARPA will probably be one of the first adopters of that stuff, it’s true. But DARPA is pretty much always a first adopter of any new tech, because they’re basically the research wing of the US military, and they have effectively infinite resources at their disposal (note: I am not debating whether or not that is a good thing here; simply stating that it is a thing). But just because they’ll likely do something military-ish with it first doesn’t mean that it’s a “bad” technology. The internet itself was, after all, initially a project of DARPA’s predecessor, ARPA, and was initially named “ARPAnet”.

Analog as in analog signals vs digital signals. Reductively: circuitry designed to operate in a continuously variable electrical domain, as opposed to circuitry designed to operate in a clocked binary domain.

Analog is (with a LOT of handwaving) way closer to how biological neural nets (that is, actual neurological tissue) operates. This is one of many domains where the exploration of biomimicry could yield some incredible advantages in a lot of areas.

?

Well… ineptitude does not preclude having a plan, or even getting parts of said plan implemented - albeit chaotically and ham-fistedly. To wit: https://project2025.observer/en

P2025 was publicly available on the open web without any auth or paywalls, by intention, since shortly after orangeboi lost in 2020.

What is “the Streisand effect”, Alex?

I hope the midterms will change things. But I think the only real yield we’ll see out of the midterms is an increase in the visible and obvious collapse of democracy in this place, because the fascists don’t seem too concerned at all about, you know, actually doing things to get people to vote for them, which leads me to assume they have very concrete plans to get around that “problem”.

If it was “experimental” and “not enabled”, why the fuck did you push it to the totality of the devices’ user base, fuckerberg?

Or just realize that nobody fucking likes LLMs as much as the Captains of Industry want us to believe, and that the true power of this technical domain lies in more targeted and bespoke ML model generation and usage.

ML is good and enables - and has enabled - some genuine generational leaps in science and technology. But LLMs are such a fucking waste of the technology’s potential. Not to mention, I’m extremely irritated that (largely due to Nvidia cornering the market) everyone is super gung-ho about a digital approach which amounts to brute-forcing neural nets digitally with shitloads of memory and highly-parallel compute, when it’s obvious to anyone with more than a passing familiarity with electrical engineering that an analog approach is going to be FAR more efficient in terms of resource and energy usage.

If you think Congress is going to do shit about fuck, you’re delusional.

Politicians are usually completely fucking clueless about the nuances of technology, but there’s something in the water in the UK that seems to make their pols reach for the stars in that regard.