the marketing fucks and executive ghouls who came up with this meme (that used to surface every time I talked about wanting to de-Google) are also the ones who make a fuckton of money off of having a real-time firehose of personal data straight from the source, cause that’s by far what’s most valuable to advertisers and surveillance firms (but I repeat myself)
(Currently writing some book-like text on the AI bubble, with minimal crypto. I also have some book-like text on smart city scams, which has rather more bitcoin in it.)
fuck yes
AWS’ suggested upgrade path is Amazon Aurora PostgreSQL — which also does audit logs. So as usual, the answer to which database is: just use Postgres.
it’s amazing how often Postgres is the sane implementation for a database-shaped problem, including a search engine just waiting for a competent ranking algorithm and a crawler (yes I’ve considered doing this)
the linked Buttondown article deserves highlighting because, as always, Emily M Bender knows what’s up:
If we value information literacy and cultivating in students the ability to think critically about information sources and how they relate to each other, we shouldn’t use systems that not only rupture the relationship between reader and information source, but also present a worldview where there are simple, authoritative answers to questions, and all we have to do is to just ask ChatGPT for them.
(and I really should start listening to Mystery AI Hype Theater 3000 soon)
also, this stood out, from the OpenAI/Common Sense Media (ugh) presentation:
As a responsible user, it is essential that you check and evaluate the accuracy of the outputs of any generative AI tool before you share it with your colleagues, parents and caregivers, and students. That includes any seemingly factual information, links, references, and citations.
this is such a fucked framing of the dangers of informational bias, algorithmic racism, and the laundering of fabricated data through the false authority of an LLM. framing it as an issue where the responsible party is the non-expert user is a lot like saying “of course you can diagnose your own ocular damage, just use your eyes”. it’s very easy to perceive the AI as unbiased in situations where the bias agrees with your own, and that is incredibly dangerous to marginalized students. and as always, it’s gross how targeted this is: educators are used to being the responsible ones in the room, and this might feel like yet another responsibility to take on — but that’s not a reasonable way to handle LLMs as a source of unending bullshit.
Lack of familiarity with AI PCs leads to what the study describes as “misconceptions,” which include the following: 44 percent of respondents believe AI PCs are a gimmick or futuristic; 53 percent believe AI PCs are only for creative or technical professionals; 86 percent are concerned about the privacy and security of their data when using an AI PC; and 17 percent believe AI PCs are not secure or regulated.
ah yeah, you just need to get more familiar with your AI PC so you stop caring what a massive privacy and security risk both Recall and Copilot are
lol @ 44% of the study’s participants already knowing this shit’s a desperate gimmick though
per capita: your mom
fuck me that is some awful fucking moderation. I can’t imagine being so fucking bad at this that I:
but for so many of these people, somehow that’s what moderation is? fucking wild, how the fuck did we get here
a better-thought-out announcement is coming later today, but our WriteFreely instance at gibberish.awful.systems has reached a roughly production-ready state (and you can hack on its frontend by modifying the templates, pages, static, and less directories in this repo and opening a PR)! awful.systems regulars can ask for an account and I’ll DM an invite link!
most of the dedicated Niantic (Pokemon Go, Ingress) game players I know figured the company was using their positioning data and phone sensors to help make better navigational algorithms. well surprise, it’s worse than that: they’re doing a generative AI model that looks to me like it’s tuned specifically for surveillance and warfare (though Niantic is of course just saying this kind of model can be used for robots… seagull meme, “what are the robots for, fucker? why are you being so vague about who’s asking for this type of model?”)
another absolutely fucked thing about the gotcha interview is, they never stop at just one. if you somehow read the interviewer’s mind and asspull the expected (not “correct”, mind you) answer, they’ll just go “huh” and instantly pivot to a different instant-fail gotcha. the point of the gotcha interview isn’t candidate selection; the point is that the asshole interviewer has power over the candidate, and can easily use gotchas to fabricate technical-sounding reasons for rejecting suitable candidates they personally just don’t like.
shit like this is one reason our industry is full of fucking assholes; they select for their own by any practical means. it’s reminiscent of those rigged, impossible “literacy tests” they used to give voters in the south (that is, the southern US), where almost every question was a gotcha designed so that a poll worker could exclude Black voters at effectively their own discretion, complete with a bullshit paper trail in case anyone questioned the process.
(also, how many of these assholes send candidates down a rabbit hole wasting time answering questions unrelated to the position when they don’t get the gotcha right? I swear that’s happened to me more than once, and I can only imagine it’s so nobody asks why most of the interviews are so short)
I start every new day by screaming this is the remix, as required by law
I can now believe that they might have considered that, and are probably hoping he’ll come down in their favour now that he’s coming in.
I’m betting there are some juicy logs of something like this happening in the C++ Alliance Slack’s secret #unfiltered channel, given that its typical content allegedly consists of abuse directed towards marginalized people, coordination of harassment and misinformation on community platforms, and various other fash shit. it’s weird that a Slack so closely associated with the “professional and respectful” ISO C++ committee would host two (including the diet version, #on-topic) of what are essentially chan-style trolling channels for people who think they’re adults on an official Slack. maybe it shouldn’t be too surprising, since one committee member felt comfortable posting an extensive, unhinged COVID conspiracy rant on the WG21 mailing list — with a community like that, it’s just a matter of time before the assholes in charge go mask-off.
and for anyone who hasn’t read the article yet, the above isn’t even the worst shit you’ll learn about, it’s a fucking rollercoaster (and there are some details alluded to that you’ll only pick up on a second reading too)
We’re sure phrases like “novel types of debt structures” won’t give you flashbacks to the 2008 financial crisis.
I feel like John taking the Soy Sauce for the first time and knowing how many people are gonna explode
It is the fourth book in the John Dies at the End series
oh damn, I just gave the (fun but absolute mess of a) movie another watch and was wondering if they ever wrote more stories in the series — I knew they wrote a sequel to John Dies at the End, but I lost track of it after that. it looks like I’ve got a few books to pick up!
how are you this fucking mid?
In fact, they’re getting plenty of free publicity for using AI to make it thanks to articles like these
good thing there’s no such thing as bad publicity, otherwise this shit would be fucking embarrassing
I hereby vow to be extremely firm and extremely realistic
finally my pyramid scheme is coming to fruition
sneerchain, coming soon to an awful system near you
fucking… maybe if I edit it in nobody will notice
maybe they’ll pay even more for the director’s cut
what kind of leftist would I be if I didn’t?
maybe it was a mistake to lionize a corporate monopolist to the level where we ostracized people for not being “good” at using their trap of a product