in reply to Matt Campbell

I imagine one of the reasons for the change was that the "centi-" prefix is commonly used to modify other units (most commonly centimetres). You've then got the question of whether "grade" is a unit.

Also, dividing something by a power of 10 is not that uncommon in countries using the metric system. Also, Fahrenheit is also defined by dividing a chosen temperature range into 100 parts, so it's not even unique to temperature units.

One week with the iPhone Air. Setup, hand feel, thinness, drops, battery, VoiceOver, and all the ways it works (and doesn’t) when you actually live with it.

fireborn.mataroa.blog/blog/one…

#iPhoneAir #Apple #Accessibility #VoiceOver #TechReview

I think this needs to be repeated, since I tend to be quite negative about all of the 'AI' hype:

I am not opposed to machine learning. I used machine learning in my PhD and it was great. I built a system for predicting the next elements you'd want to fetch from disk or a remote server that didn't require knowledge of the algorithm that you were using for traversal and would learn patterns. This performed as well as a prefetcher that did have detailed knowledge of the algorithm that defined the access path. Modern branch predictors use neural networks. Machine learning is amazing if:

  • The problem is too hard to write a rule-based system for or the requirements change sufficiently quickly that it isn't worth writing such a thing and,
  • The value of a correct answer is much higher than the cost of an incorrect answer.

The second of these is really important. Most machine-learning systems will have errors (the exceptions are those where ML is really used for compression[1]). For prefetching, branch prediction, and so on, the cost of a wrong answer is very low, you just do a small amount of wasted work, but the benefit of a correct answer is huge: you don't sit idle for a long period. These are basically perfect use cases.

Similarly, face detection in a camera is great. If you can find faces and adjust the focal depth automatically to keep them in focus, you improve photos, and if you do it wrong then the person can tap on the bit of the photo they want to be in focus to adjust it, so even if you're right only 50% of the time, you're better than the baseline of right 0% of the time.

In some cases, you can bias the results. Maybe a false positive is very bad, but a false negative is fine. Spam filters (which have used machine learning for decades) fit here. Marking a real message as spam can be problematic because the recipient may miss something important, letting the occasional spam message through wastes a few seconds. Blocking a hundred spam messages a day is a huge productivity win. You can tune the probabilities to hit this kind of threshold. And you can't easily write a rule-based algorithm for spotting spam because spammers will adapt their behaviour.

Translating a menu is probably fine, the worst that can happen is that you get to eat something unexpected. Unless you have a specific food allergy, in which case you might die from a translation error.

And that's where I start to get really annoyed by a lot of the LLM hype. It's pushing machine-learning approaches into places where there are significant harms for sometimes giving the wrong answer. And it's doing so while trying to outsource the liability to the customers who are using these machines in ways in which they are advertised as working. It's great for translation! Unless a mistranslated word could kill a business deal or start a war. It's great for summarisation! Unless missing a key point could cost you a load of money. It's great for writing code! Unless a security vulnerability would cost you lost revenue or a copyright infringement lawsuit from having accidentally put something from the training set directly in your codebase in contravention of its license would kill your business. And so on. Lots of risks that are outsourced and liabilities that are passed directly to the user.

And that's ignoring all of the societal harms.

[1] My favourite of these is actually very old. The hyphenation algorithm in TeX trains short Markov chains on a corpus of words with ground truth for correct hyphenation. The result is a Markov chain that is correct on most words in the corpus and is much smaller than the corpus. The next step uses it to predict the correct breaking points in all of the words in the corpus and records the outliers. This gives you a generic algorithm that works across a load of languages and is guaranteed to be correct for all words in the training corpus and is mostly correct for others. English and American have completely different hyphenation rules for mostly the same set of words, and both end up with around 70 outliers that need to be in the special-case list in this approach. Writing a rule-based system for American is moderately easy, but for English is very hard. American breaks on syllable boundaries, which are fairly well defined, but English breaks on root words and some of those depend on which language we stole the word from.

in reply to David Chisnall (*Now with 50% more sarcasm!*)

The pattern-matching is making Google searches more useful for me.

But I am entirely against referring to any of this stuff as ‘artificial intelligence’. It actually is not even an ATTEMPT to solve the problem of artificial intelligence. It is only mistaken for an attempt to solve that problem.

I have a simple proof of this: artificial intelligence cannot possibly be reached by ‘language models’ of any kind. Why not? Because a human is nearly the same as a language-less ape.

in reply to Barry Schwartz 🫖

Everything that people mistake for ‘AI hallucinations’ and so forth are easily understood if you simply view all the ‘AI’ not as ‘AI’ but as pattern processing algorithms.

True artificial intelligence would be an entirely different problem. The people doing the pattern processing are probably incapable of understanding the difference between the two problems, however.

in reply to Barry Schwartz 🫖

Apes truly are language-less BTW. People sometimes object. But true language has infinitely recursive structure. No animal has language in this sense.

And human intelligence MUST be a variant of ape intelligence. Therefore must have language only as an adjunct facility, not as a foundational one.

I expect LLMs never to be any good at mathematics. They claim otherwise, but what they demonstrate is only that it can solve high school math tests, which isn’t the same thing.

This entry was edited (2 weeks ago)
in reply to marionline

@marionline @hosford42

I mean proprioception in the sense of navigation. Knowing left and right. That sort of thing. Which obviously fully healthy apes are very, very good at.

(I’m not so extremely healthy these days, but that’s partly because I am old now. If I turn rapidly, I’ll likely fall down. :) )

People may be better at mathematics than they realize. Teachers are very, very, VERY bad at teaching it.

in reply to Barry Schwartz 🫖

@chemoelectric @marionline

> People may be better at mathematics than they realize. Teachers are very, very, VERY bad at teaching it.

I second this. I cringe every time my girls, who are both *very* good at math, say they hate the subject. It has everything to do with the teachers. I think the education program for teachers misses something that must be vital for effectively teaching math, especially in a way that makes kids feel competent and enjoy the subject. At least, that's how it is here in the US.

in reply to Aaron

@hosford42 @chemoelectric @marionline I've always struggled with math, as a blind guy it's really hard for me to visualize, and I don't think school prepared me very well. Just started a CS degree designed for people who don't have much coding experience, and we have to take Discrete Structures. It's definitely a challenge, and I'm not sure that I'll ever "like" math, but I'm just taking it one day at a time and will try to make the best of it.
in reply to Aaron

@ZBennoui @chemoelectric @marionline Even some play dough or clay that could be shaped by the teacher to represent what they're drawing on the board might be an improvement. Or they could draw on paper with Elmer's glue and let it dry. There are lots of options. This is just what comes to mind off the top of my head. I can't imagine the difficulty of trying to learn math without the primary mode of communication that math teachers use.
in reply to Aaron

@hosford42 @chemoelectric @marionline Yeah you've definitely got the right idea, I went to a school for the blind here in Boston and that's exactly what they did. A lot of Braille, a lot of tactile graphics. The issue is many colleges simply don't have the tools to make the same accommodations, and you need teachers who are trained to work with blind students to get anything effective done without a ton of advocacy on the part of the student.
in reply to Zach Bennoui

@ZBennoui @chemoelectric @marionline It's always a problem getting the real human beings to follow the accommodation plan, isn't it? I have the same experience with autism accommodations. Inevitably, you end up depending on someone who is ignorant and not interested in changing that about themselves, or someone who says it's too hard or too expensive.
in reply to Aaron

@hosford42 @chemoelectric @marionline As it happens, that's something a few companies are looking into, however, they are extremely expensive. There was one device released last year, the Monarch, that's like $15,000. Essentially, it's a multiline Braille display that you can either connect to another device or use standalone. It runs Android, and is able to display not only Braille, but graphics as well if they're presented in the proper format. Out of reach for most though, and that situation isn't likely to change soon.
in reply to Zach Bennoui

@ZBennoui @chemoelectric @marionline That is going to be awesome when it comes to market. And as with other accommodations, it will end up being helpful for other people, too. I imagine people who are tactile learners will do better with something like that. Or people who want to use a screen at night and aren't put off by a bit of a learning curve.
in reply to Sean Fenian

@zakalwe @chemoelectric @ZBennoui @marionline Yeah, I imagine trying to use a screen reader for it, based on my experience with them, and in my imagination I become instantly, profoundly frustrated. I would probably immediately start looking for other options. This is a real consideration for me, as my vision has gotten progressively worse with age and coding is my favorite activity.
in reply to Aaron

@hosford42 @zakalwe @chemoelectric @marionline Yeah having used computers for like 15 or so years, both throughout school and undergrad, it's definitely second nature to me at this point, but it takes me much longer than a sighted person to accomplish a similar task. Case and point, I was in a lab a few weeks ago having to write some Python, and it took me like 30 minutes to write the same amount of code that everyone else wrote in five. No one really knew what to do with me, I was basically on my own lol.
in reply to Zach Bennoui

@ZBennoui @zakalwe @chemoelectric @marionline There has to be a better way. I can't help but think that, anytime I hear a frustration like this. There has to be some other way to get information from the computer into your brain faster. Obviously, I don't mean a brain implant made by someone oh-so-trustworthy like Musk. But there has to be some kind of gadget that could improve that process. The tactile screen I described in another branch of this thread would be an option, if we only knew how to build one.
in reply to David Chisnall (*Now with 50% more sarcasm!*)

WHat the "anti-ai" people forget about is that humans also make mistakes, and each mistake has a price associated with it.

It's also worth remembering that some people would prefer cheap AI that sometimes makes mistakes over expensive but reliable humans, even in fields like law or healthcare.

The one thing AI is really bad at is being a scapegoat, and sometimes what you actually need is a scapegoat.

in reply to Tuta

das schlimme ist, das ich wichtige mails verschicken wollte, aber bisher nicht konnte. Das finde ich gelinde gesagt, sehr beschi**en.

War bisher zufrieden mit euch, aber in den letzten monaten, bin ich nicht mehr so zufrieden. Hab auch an euren support eine mail geschickt, diese ist versendet worden ? Jedenfalls kam kein fehlermeldung.

Kann es sein, das mein account gesperrt wurde ?

Anyone using RPi Camera Viewer (apt.izzysoft.de/packages/ca.fr…)? Is it still working and useful? Its last release was made in 2019, and not even issues are replied to anymore since at least 2020 – so we wonder if we should remove the app from #IzzyOnDroid

:boost_love:

#serviceToot #FollowerPower

Linux users when they need to remember a simple command in the terminal:

⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️ Aha, there it is!

#programmerhumor #linux

"Back to work today, forgot my pass so locked bike outside Cannon Street station. Left work at 6pm to find just the cut lock and no bike, resigned to never seeing my trusty stead again asked the station if they have cameras. A guy appeared waving at me, asked me to put the code into my cut lock. He replied ‘I have your bike’ with a smile I will never forget!! His name is Abdul Muneeb and he works for South Eastern Railways, he was on a break and saw a guy bolt cut the lock and challenged him to give it back, he then took it inside and waited 4 hours after his shift finished to personally make sure I got my bike back. The world needs more Abdul’s, he is a legend of a man and a credit to his employer."
Story Credit: Steve Farmer

reshared this

Hi @NVAccess I was just looking at the Alpha snapshots and noticed that the latest ones are downloading as 0 byte files. Another one several entries down showed a size of 18 mb and wouldn't run either. I just wanted to reach out to see if this is known. The last one that runs is: nvda_snapshot_alpha-52731,f294547a.exe. Current ones don't let me run them to try and get a log, as it shows the message "this app can't run on your PC." Thank you very much for your time and I look forward to any input you may have. Thanks!

Words cannot express my appreciation to @Tutanota for allowing me to come and say hi today. I know they're busy fighting the good fight and there was really nothing in it for them, but it was a real honor that they took time out of their schedules to show me around. I was able to put faces to names I've only seen in blog posts and signatures for years and got to know the crew a little. They seem like they've got a real great team doing real great things! Makes me proud to be a Tuta user :)
@Tuta

Every `cargo add` or `pip install` is a leap of faith that attackers exploit.

Supply chain attacks are escalating: from typosquatting campaigns to self-replicating worms like Shai-hulud (compromised 500 NPM packages) to the XZ Utils backdoor where an attacker spent 2+ years building their reputation.

But the ecosystem is working to make trust explicit and verifiable rather than assumed with cutting-edge defense, like Trusted Publishing.

Read the blog: blog.trailofbits.com/2025/09/2…

in reply to Trail of Bits

So refreshing to see actual thought-through improvements that are well designed as opposed to the general garbage of asking for your ID and assuming that just because the publisher knows your legal identity (or that of the ID card you stole/faked) nothing can go wrong.

The Open Source community is so far ahead in security compared to big tech like Google. It's both amazing and absurd.

Great work, thank you for improving security in tangible and logical ways :)

This entry was edited (2 weeks ago)

@libreoffice@fosstodon.org I'm noticing that it seems to take disproportionately much longer to save an ODT document with tracked changes than one without. It's a difference between one or two seconds, or fifteen to twenty seconds of 100% utilization on one core.

Is this behavior (a) known, and (b) expected?

(I'm not completely certain that it's track-changes involved. It might also be a factor of having at some point been saved as .DOCX. I do not have a full history of all changes made to the relevant document.)

in reply to Andre Louis

@FreakyFwoof @ppatel yeah, I think on the iGPU the most I'll eek out is maybe the 20B with fairly decent tokens per sec, nowhere near 5080 territory but at least closer to Mac. I think for a 27B model you need closer to 32 GB Ram so I don't think it could run out of the 24 Unified I have here, should have grabbed 48 but it wasn't worth the $400 premium to me to jump SKUs. Ah well.

Prodáváme nás Croozer, kdyby někdo měl zájem dám o 1000 Kč dolu. Za boost budu vděčný. 🙏

deti.bazos.cz/inzerat/20841283…

#Croozer #Czech #Bazos

This entry was edited (2 weeks ago)

Lots of data and neat graphs here illustrating the global problem of #inequality and how it is distributed across the world.
Puts into perspective quite a few often repeated myths. Have a look!

Work of the reknowned degrowth scholar Jason Hickel (who still has an inactive fedi account @jasonhickel )

globalinequality.org/

#systemChange #TaxTheSuperrich

This entry was edited (2 weeks ago)

Hey Somervillens! AWESOME opportunity to turn your paved-over driveway or yard into green space! Green & Open Somerville has teamed up with the Mystic River Watershed Association to depave a site and plant it with native species. Learn more: greenopensomerville.org/depave. Must be in the actual Mystic watershed; see map here: mysticriver.maps.arcgis.com/ap…

What Apple is trying to pull in the EU is as embarrassing for Cupertino as it is for the EU and the tech press that have credulously repeated Apple's talking points. The only good news is that the EU declined to unilaterally disarm:

infrequently.org/2025/09/apple…

Pay attention to who is actually calling for violence. Arizona Republican Fascist Representative John Kingman calls for WA Representative Jayapal’s hanging. azmirror.com/2025/09/25/john-g…
in reply to Large Heydon Collider

So I've just started my masters in CS. This is a program designed for people like myself who don't have much coding experience but want to learn more. Had a meeting with one of the TAs today and he pointed out that people who worry about AI replacing jobs are completely missing the point. Yes, AI will be used more and more in the future, but it may never be at a level where someone will simply be able to "vibe code" a solution without putting any actual work in. These models are really good at generating little snippets of code, but at this point in time, simply cannot operate autonomously without human intervention.

I just got an email from Guide Dogs for the blind where I have gotten my four Guide Dogs. They are following up on the announcement of the suit brought against Uber for its persistent ADA violations against those with disabilities, especially those with Guide Dogs. They urge all guide dog users to keep reporting ride refusals. They had a few helpful numbers I wanted to share along with the Department of justice website where you can register complaints. Here's what the last part of this email had to offer. Guide Dogs for the Blind remains steadfast in our support of everyone’s right to ride. We will continue to advocate as an organization and in concert with like-minded groups, and we encourage you to continue doing so as individuals.

To report violations, visit CivilRights.justice.gov. For ADA resources call the ADA Information Line at 800-514-0301 (TTY: 1-833-610-1264) or ada.gov

God help us

“A new report from Senate Democrats claims members of Elon Musk’s DOGE team have access to the Social Security Numbers of all Americans in a cloud server lacking verified security measures, despite an internal assessment of potential “catastrophic” risk. The report, released by Sen. Gary Peters (D-MI), cites numerous disclosures from whistleblowers, including one who said a worst-case scenario could involve having to re-issue SSNs to everyone in the country.

As outlined in the report, DOGE staffers moved a live copy of Americans’ personal information to a cloud server despite an internal risk assessment done by the Social Security Administration (SSA) that determined the impact could be “catastrophic” without the proper safeguards. The report notes that this information is considered “production data,” potentially allowing DOGE to “directly manipulate” it.”

#doge #tech #ssn #news #security #privacy
theverge.com/news/785706/doge-…

"An escalator can never break: it can only become stairs. You should never see an ‘Escalator Temporarily Out Of Ordersign,’ just ‘Escalator Temporarily Stairs. Sorry for the convenience."
Mitch Hedburg
#UN #escalatorgate #TripleSabotage
youtube.com/shorts/tqOkWWV6a_U…