MangoCats

joined 1 year ago
[–] MangoCats@feddit.it 1 points 4 hours ago

I have recurring thoughts that the kernel needs to undergo a clear fork. One branch continues on as it is today. A new branch agressively restricts scope, drops support for sub 0.1% market (in use, not last quarter's sales) share hardware - and software. Focuses intensively on making that core functionality as reliable and secure as possible. New features? No thanks, plenty of existing features already.

[–] MangoCats@feddit.it 1 points 4 hours ago

a real solution.

How about fixing the bugs so they're not there to report? That's the real "unpatched hole in the floor."

Another "fight fire with fire" approach is to let agents do the screening for "duplicate report" and also pre-verify / test reports for reproducibility.

[–] MangoCats@feddit.it 2 points 4 hours ago

The problem with replacing e-mail is that e-mail works well enough.

Other hypothetically "superior" replacements come and go (Google Wave, Yammer, Jive) - some are sticking around in limited scopes (Slack / Teams) - but none have displaced e-mail completely. You always have to ask: "Are you on Teams/Facebook/X?" some people are, some people aren't. Just about everyone at least has e-mail access, and uses it to some degree or another - if nothing else to verify identity for accounts on other services.

[–] MangoCats@feddit.it 1 points 4 hours ago

they all assume most people won’t bother

There's a sort of built-in compensation for "response rates" or "perception rates" - in my industry we trend customer complaints and act according to the data we receive, but we also know that for every complaint we receive there are typically 30 similar events that go unreported. We also know that certain "responders" are outliers and will report every single instance they experience (and sometimes embellish and create additional instances for dramatic effect) but these are exceedingly rare and usually "adjusted" to normal responder levels once identified.

Now, when people create AI agents to file the complaints for them... that's a new level of response rates. 25 years ago I came close to doing this for airport flyover noise complaints - our local (international) airport had an obscure portal for local residents to complain when they were bothered by jet flyovers - and our neighborhood would get dozens of events per month where the noise was so loud you couldn't hear the other side of a phone call INSIDE your house with the windows shut. Thousands of homes were impacted by this, often 4 or 5 times in a row within an hour or two. But, the complaint channel was so obscure and the reporting process inconvenient enough that very few complaints were recorded, and they loved to point out that 40% of their complaints came from a single resident. Smart phones weren't a widespread thing yet, if they were I would have "made an app for that" where anytime you were "impacted" by a jet flyover all you would have to do is pull out your phone and tap the app to file a report. (I considered developing it for Palm Pilot, but I doubt even 10 residents would have carried Palm Pilots for the purpose of filing reports...) If we got a couple hundred residents across the neighborhood reporting even 10% of the troublesome flyovers, we might have changed the conversation - as it was the airport used the lack of complaints to justify no change in flight patterns.

[–] MangoCats@feddit.it 2 points 5 hours ago

LLM powered mailing list filters.

Deep Seek and other locally hosted options should be up to this task...

[–] MangoCats@feddit.it 14 points 5 hours ago

TL DR: they gave the agents a minimal initial prompt and zero additional feedback while they ran. Humorous / weird behavior ensued.

If you snatched a college student off a crosswalk, gave them the same prompt and stuck them in a booth with control of the station and zero feedback, even if they were willing and eager to take on the assignment I suspect similar psychotic behaviors would emerge.

[–] MangoCats@feddit.it 1 points 5 hours ago (1 children)

but these are new risks of arbitrary severity, from trivial to devastating, that did not exist at all before

I disagree. The risks of arbitrary severity are already there, we have just slowly evolved into handling them how we handle them now, learned (sometimes) from the mistakes either how to handle them better or just accept the consequences as "how things are."

So, I do agree that rapid switching to letting AI handle things will mis-handle the old risks in new and unanticipated ways. Maybe if AI helps us actually build a space elevator or functional fusion Tokamaks or other things like that then that will be creating significant new risks with their own new issues.

we have to do that hard work and be real with ourselves, rather than hand-wave them away because of the potentially thrilling prospects.

AI is just the latest shiny in a long list of shinies that enthusiastic entreprenuers have hand-waved all the hard work around the real challenges away about. I think self driving cars are a pretty good example of how this "disaster waiting to happen" will really roll out - things like https://www.youtube.com/watch?v=BYkv6jvTpCc https://en.wikipedia.org/wiki/Death_of_Elaine_Herzberg etc. Is it regrettable that Elaine died? Yes - right along with the other 6000+ pedestrians killed by human drivers that year in the US alone.

[–] MangoCats@feddit.it 1 points 15 hours ago

Those who don't learn from history, probably were homeschooled?

[–] MangoCats@feddit.it 1 points 15 hours ago

highly complex systems in situations of huge responsibility.

What's complex about "there's a salt mine under this lake you're drilling in?" Or "you're putting a gas tank in the most common impact crumple zone on the vehicle?" or "We've seen this problem before, many times, but we're just going to continue to let it happen again and again?"

[–] MangoCats@feddit.it 0 points 23 hours ago (3 children)

Whether it’s bombing a school in Iran because Claude fucked up the targeting

I'm going to call user error on that, and I don't think it matters what system they were using - they were going to make mistakes.

an AI agent deleting your email inbox or your production database

The real error there? Conducting risky operations without backups.

creating a court case out of thin air

That's just big silicon-brass balls. Interns do it too, but you don't hear about them. On the other hand, trusting the AI or the intern, that's disbarment levels of reckless.

It makes perfect sense not to trust this technology

Or any technology, until we have figured out what it is, and isn't, capable of doing reliably.

But, plenty of people still play Russian Roulette, for one reason or another. Is that the revolver manufacturer's fault?

being that it’s already been trained on the entirety of recorded human knowledge, I’m not sure how it gets better either

Better editing.

 

What is this recurring connection between big missiles sending men to the moon and the military industrial complex sending expeditionary forces overseas?

 

996: 9 a.m. to 9 p.m., 6 days a week

Sure, they're burnt out, sluggish, surly, but... they're present. And when they're present, they're not out in the world spending their income. They don't need an expensive apartment or house, all they do there is sleep. Why have a fancy car when all you do is drive to/from your shitty job in it? Family? Who would have children with somebody who works such a schedule?

Even if you got more productivity from the same workers on a 9 a.m. to 3 p.m., 4 days a week schedule, you'd have to pay them more, not just per hour but overall, because they'd be out spending money on those afternoons / evenings and 3 days a week they have off. Organizing, demanding better healthcare, dental, more paid time off for vacations, and higher total wages to support all these "needs" they invent for themselves on their time off.

Keep 'em locked down, keep 'em tasked with ... anything, doesn't matter if it's productive or not, as long as it keeps them on-the-job and not spending their pay.

Edit: apparently this isn't clear: 996 is a horrible idea from all perspectives, it's bad for the workers and bad for their employers overall. But, in certain twisted views, it would be a bit like military service where the (bulk of the) workers get a pitifully small paycheck, but they don't have any real expenses so they have the option to save it all. 996 would turn that more into a wage-slave implementation where the pitifully small paycheck is just enough to meet their pitifully small expenses. In the China tech sector where they have implemented this (it is now illegal, but still practiced) they also do things like install anti-suicide nets in the stairwells of the highrises the workers work and sleep in.

 

cross-posted from: https://lemmy.sdf.org/post/31879711

cross-posted from: https://slrpnk.net/post/20187958

A prominent computer scientist who has spent 20 years publishing academic papers on cryptography, privacy, and cybersecurity has gone incommunicado, had his professor profile, email account, and phone number removed by his employer Indiana University, and had his homes raided by the FBI. No one knows why.

Xiaofeng Wang has a long list of prestigious titles. He was the associate dean for research at Indiana University's Luddy School of Informatics, Computing and Engineering, a fellow at the Institute of Electrical and Electronics Engineers and the American Association for the Advancement of Science, and a tenured professor at Indiana University at Bloomington. According to his employer, he has served as principal investigator on research projects totaling nearly $23 million over his 21 years there.

He has also co-authored scores of academic papers on a diverse range of research fields, including cryptography, systems security, and data privacy, including the protection of human genomic data. I have personally spoken to him on three occasions for articles herehere, and here.

"None of this is in any way normal"

In recent weeks, Wang's email account, phone number, and profile page at the Luddy School were quietly erased by his employer. Over the same time, Indiana University also removed a profile for his wife, Nianli Ma, who was listed as a Lead Systems Analyst and Programmer at the university's Library Technologies division.

According to the Herald-Times in Bloomington, a small fleet of unmarked cars driven by government agents descended on the Bloomington home of Wang and Ma on Friday. They spent most of the day going in and out of the house and occasionally transferred boxes from their vehicles. TV station WTHR, meanwhile, reported that a second home owned by Wang and Ma and located in Carmel, Indiana, was also searched. The station said that both a resident and an attorney for the resident were on scene during at least part of the search.

Attempts to locate Wang and Ma have so far been unsuccessful. An Indiana University spokesman didn't answer emailed questions asking if the couple was still employed by the university and why their profile pages, email addresses and phone numbers had been removed. The spokesman provided the contact information for a spokeswoman at the FBI's field office in Indianapolis. In an email, the spokeswoman wrote: "The FBI conducted court authorized law enforcement activity at homes in Bloomington and Carmel Friday. We have no further comment at this time."

Searches of federal court dockets turned up no documents related to Wang, Ma, or any searches of their residences. The FBI spokeswoman didn't answer questions seeking which US district court issued the warrant and when, and whether either Wang or Ma is being detained by authorities. Justice Department representatives didn't return an email seeking the same information. An email sent to a personal email address belonging to Wang went unanswered at the time this post went live. Their resident status (e.g. US citizens or green card holders) is currently unknown.

Fellow researchers took to social media over the weekend to register their concern over the series of events.

"None of this is in any way normal," Matthew Green, a professor specializing in cryptography at Johns Hopkins University, wrote on Mastodon. He continued: "Has anyone been in contact? I hear he’s been missing for two weeks and his students can’t reach him. How does this not get noticed for two weeks???"

In the same thread, Matt Blaze, a McDevitt Professor of Computer Science and Law at Georgetown University said: "It's hard to imagine what reason there could be for the university to scrub its website as if he never worked there. And while there's a process for removing tenured faculty, it takes more than an afternoon to do it."

Local news outlets reported the agents spent several hours moving boxes in an out of the residences. WTHR provided the following details about the raid on the Carmel home:

Neighbors say the agents announced "FBI, come out!" over a megaphone.

A woman came out of the house holding a phone. A video from a neighbor shows an agent taking that phone from her. She was then questioned in the driveway before agents began searching the home, collecting evidence and taking photos.

A car was pulled out of the garage slightly to allow investigators to access the attic.

The woman left the house before 13News arrived. She returned just after noon accompanied by a lawyer. The group of ten or so investigators left a few minutes later.

The FBI would not say what they were looking for or who is under investigation. A bureau spokesperson issued a statement: “I can confirm we conducted court-authorized activity at the address in Carmel today. We have no further comment at this time.”

Investigators were at the house for about four hours before leaving with several boxes of evidence. 13News rang the doorbell when the agents were gone. A lawyer representing the family who answered the door told us they're not sure yet what the investigation is about.

This post will be updated if new details become available. Anyone with first-hand knowledge of events involving Wang, Ma, or the investigation into either is encouraged to contact me, preferably over Signal at DanArs.82. The email address is: dan.goodin@arstechnica.com.

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