@Sumomo@sumomo.neocities.org if you’re looking for a great static site generator/publishing tool by the way have a look at my project ZS

@movq@www.uninformativ.de I actually didn’t know that and just listened to it. There are a few nice songs, but in general, it’s too boring to me. I’m missing the rock and metal elements for sure. Some of the calm songs might work to relax in a sauna or so. But I find the “wind noise” rather annoying.

For me, the two most “magical” things about np.arrays are:

• Vectorized/broadcast operations, like multiplying a matrix and a scalar value & adding or subtracting two vectors or two matrices - but also any vectorized function;
  
• Masking & array indexing, being able to use arrays to select positions on other arrays;
  
• Bonus-third-thing: multi-dimensional arrays in general are quite magical too, if you add slicing to it, good lord, it can be quite daunting.
  

#Python #npArrays #NumPy

Oh man wow 😮 Problem 9 was quite hard 😱 I had to build two new functions in the Mu stdlib for computing combinations and permutations, but then the combinations of range(1000) for triples such as a + b == c is enormous! So i had to write iterator versions of these to do lazy evaluation. Anyway solution follows:

#!/usr/bin/env mu

// Special Pythagorean Triplet

import "iter"

fn usage() {
  print("Usage:", args()[0], "<n>")
}

fn sqr(x) { x * x }

fn main() {
  if len(args()) < 2 {
    usage()
    exit(1)
  }

  n := must(int(args()[1]))
  print("n:", n)

  // For a < b < c and a + b + c == n, both a and b are strictly less
  // than n/2. Generate only (a,b) combinations and derive c directly. This
  // keeps the search lazy and reduces n=1000 from C(999,3) = 165,668,499
  // candidate triples to C(499,2) = 124,251 candidate pairs.
  pairs := iter.combinations(iter.range(1, n / 2), 2)

  triples := iter.map(pairs, fn(xs) {
    a := xs[0]
    b := xs[1]
    return [a, b, n - a - b]
  })

  // Enforce b < c; a < b is already guaranteed by combinations over an
  // increasing range, and a + b + c == n holds by construction.
  triples = iter.filter(triples, fn(xs) {
    return xs[1] < xs[2]
  })

  // Euler 9 has one answer for n=1000. find() stops the entire upstream
  // iterator chain as soon as the first Pythagorean triple is found.
  answer := iter.find(triples, fn(xs) {
    return sqr(xs[0]) + sqr(xs[1]) == sqr(xs[2])
  })

  print(answer)

  if answer != nil {
    print(answer[0] * answer[1] * answer[2])
  }
}

main()

but yes, however you cannot currently add it or delete post via the app as I haven’t really built that feature at the moment you technically can do it, but you do run into some challenges with breaking threads if you’ve already published something and then go back and edit it so we generally advise not to do that too much if you can help it

Most of this insane power consumption happens during the models training, so the additional cost of prompting, is minimal. Facebook invented cool ways to exted the environmental damage far beyond the training stage, by dumping the dirty data center water into nearby water sources, but that’s more so a Facebook problem, than a fault of AI.

I would still never waste my own money, paying for any AI subscriptions that my employer doesn’t already pay for, no matter if we use them, or not.

I am also against aggressive scraping and taking everything as training data, disregarding the authors wishes and license. I allow it on my website, mostly as proof that no matter how much they scrape my stuff, the real me remains both a superior webdev and artist.

I am well aware this makes me come across really egotistical, especially after developers far better than me, embraced vibe coding, arguably way too much. To give an example, all attempts to get Microsoft Copilot, that’s embedded into SharePoint, to generate an extension/uBlock filter to make SharePoint revert to the old superior UI failed, but I was able to do that in three lines of code ( https://thecanine.smol.pub/ublock-filters ), in half an hour, despite me never seeing the code of that page before. After a few of these comparisons, it is increasingly hard to see most of these tools, as my replacement.

I am not even going to talk about the people trying to imitate my art style with AI, until they can show me a result where all the squares are the same size, in a grid and actually square.

I am a bit split on this, don’t think there’s any real use for AI in things like art, at absolute most getting a reference to compare with multiple non-AI ones, or possibly some animation in between frames, if it ever gets better at making those. Would not rely on it for any of my personal projects, more than maybe a quick search that would have previously been done on Stack Overflow, but if I work somewhere and they demand it be used similarly to how it is described on this site, considering the current IT job market, I’d probably take the slop bullet, over being unemployed.

Obviously even in that case, I’d only do this to generate code I can understand, improve and review. I’m definitely not advacating people just put their feet up on the table and let some random combination of “AI agents”, vibecode their entire codebase.

@movq@www.uninformativ.de Good question. Tarballs are probably not needed, but might be convenient for people who don’t want to or can use a version control system. Not sure if there are non-techies who use your software. Tarballs for branches are overkill, though, I agree.

Looking at this more closely: As for the feeds, how about filenames “tags.atom” and “commits.atom”? Unless, of course, they were already named like that before.

For the tags feed it would be cool to include the actual changelog entries to be more useful if somebody takes this approach to get notified of new versions. But that would mean you have to duplicate the changelog entry into the annotated tag. And then you can’t fix changelog typos in the feed anymore. Alternatively, the feed generation would need to extract the section from the the CHANGES file. That has the benefit of automatically providing changelogs for past versions in the feed.

and @david@daiwei.me your rename shipped 🙌 it’s “Generate recovery code” now (you were right — mints a fresh one each press), + it asks before replacing an existing code so you don’t nuke the one you saved 😅

@david@daiwei.me Not sure if you only mean the code segments or in general. In theory, a general darker text color for read messages would probably work. The thing is that regular white on black is quite standard. In Newsboat, new articles are red (I opted for yellow here) and read ones white. I found that useful and kinda copied it for tt.

🎉 This pod, twtxt.net is now open to the general public again to join. However it is invite-only with admin review and approval/rejection. Welcome ! 🙏

@prologic@twtxt.net The only image viewer I like in general is this one:

https://codeberg.org/nsxiv/nsxiv

It’s for X11, though.

Allegedly, this Wayland image viewer is somewhat similar to nsxiv, maybe you’ll like that? 🤔

https://github.com/artemsen/swayimg

@movq@www.uninformativ.de

What’s your motivation for running this, btw? 🤔

Basically, two things a) feeling generous for folks that either can’t afford or find it hard to have a little place to call home (webpage, feed, whatever) and b) a real opportunity to test some of the components that make it possible sshbox, which I know works well as it fronts my Gitea instance’s Git+SSH service and box, a container runtime I wrote a while ago, recently improved, hardened and polished.

Oh god, finally: The thumbnail generator for my blog now renders a typical “play” icon for videos.

Image

Saves me the need to write “this is a video” every time. 😬

Bored of brekkie? Try the lemongrass sausage muffin at this cafe-bar unlike anywhere else
A co-founder of ACME and a fourth generation Vietnamese restaurateur have partnered to open an intimate all-day diner with a fresh take on the familiar. ⌘ Read more

Checking 46 kilos in economy class? Why some airlines are generous on luggage limits
The amount of check-in and carry-on luggage on a plane varies wildly depending on the airline and the route you’re flying. ⌘ Read more

@lyse@lyse.isobeef.org Thanks!

On the AI changelog part, though, I’d rather recommend to just not have a changelog at all.

I’m afraid that ship has sailed. You can rest assured that someone who uses AI/LLMs for their code (which is almost everybody at this point) will most certainly also use it for changelogs.

I actually considered not mentioning AI output at all, because this just opens a huge can of worms … 😞

While going through these terrible GitHub release pages, I also found these “New Project Contributors” sections

Yeah, they play on a nerd’s pride.

Now, it’s just the same auto shitshow with MR titles in a rolling date-versioned release scheme. It’s just our team who has to deal with that, though. I think I’m the only one who is not a fan of it.

I’ve found that this whole situation is much worse at work than it is in the Free Software world. At work, it’s literally work and hardly anybody actually cares. We still don’t have all people convinced that writing good commit messages or using good branch names is worth the time. It’s … oh god, no, I’m going to stop here, this is bad for my mental health. 😅

Suffice it to say, all release notes at work are now AI-generated. Nobody gives a fuck.

@movq@www.uninformativ.de Hahaha, great timing! :-D I love your article and agree with almost all your points.

On the AI changelog part, though, I’d rather recommend to just not have a changelog at all.

Another important thing for me is the deprecation notice section. What do I need to look out for in the future? Should I start to migrate to another API soon? Even right now? Or does it have time?

While going through these terrible GitHub release pages, I also found these “New Project Contributors” sections (yeah, for that, they found the time to make a section) annoying. Don’t get me wrong, sure, credit where credit is due. But come on. Soooooo much space for an inefficiently formatted (and also unsorted) list. At least it was easy enough to skip over it.

And then, there are also these changelogs or rather notice documents in general that are infested with multicolored emojis all over the place. My brain’s spam filter kicks in and shoves everything to /dev/null immediately. It’s especially a thing at work.

In my previous work project, we also used the Keep A Changelog Format. That was great. You wouldn’t believe how often I resorted back to that document. At least twice a week, often several times a day. I was very glad that we put in this effort. Of course, writing the changelog took its time, but it was worth every minute and more. Reading a many months old item, it was immediately clear. I was our best customer in that regard.

Now, it’s just the same auto shitshow with MR titles in a rolling date-versioned release scheme. It’s just our team who has to deal with that, though. I think I’m the only one who is not a fan of it.

A German Court Has Ruled That Google Is Liable for False Statements Generated by AI Overviews
The ruling holds that a company that designs, trains, operates, and manages an AI system must assume legal liability for any damages caused by the responses it generates. ⌘ Read more

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Device Clock Generation
Article URL: https://zipcpu.com/blog/2025/12/17/devclk.html

Comments URL: https://news.ycombinator.com/item?id=48499890

Points: 5

# Comments: 0 ⌘ Read more

Apple’s Camera Chief Thinks AI Can Give You Superpowers
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More AI-generated code doesn’t make your team faster. It might slow you
Article URL: https://twitter.com/awscloud/status/2064449711155589396

Comments URL: https://news.ycombinator.com/item?id=48489835

Points: 19

# Comments: 4 ⌘ Read more

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Show HN: We post-trained a model that pen tests instead of refusing your code
I’m Dimitrios at Cosine. Quick orientation first: the read-only scan is free and you can run it right now: that’s the part to try. The pen-test mode is gated behind written authorisation, because it’s live offensive testing against real systems; I’ll explain that below, it’s not a paywall thing.

The reason `cos` exists: most “AI security” tools wrap a general model, so they inherit its refusals — point one at a real offensive task and it hedges or declines, b … ⌘ Read more

Actually, I’m stupid: I’m using the normal rsync on OpenBSD as well.

And regarding OpenRsync’s general usability:

https://marc.info/?l=openbsd-misc&m=178090751524547&w=2

Right now openrsync is limited in functionality and is primarily present
for rpki-client. The limited functionality makes it unusable for generic
use and so any diff or change like the above will not be considered since it
is simply not ready.

First problem to solve is to remove the mmap usage in openrsync. After
that modern protocol versions need to be added. Once that is in place one
can start a discussion about using openrsync as a default on OpenBSD.

Launch HN: General Instinct (YC P26) – Frontier models on edge devices
Hey HN, Guanming and Bill here from General Instinct ( https://general-instinct.com/).

After years of working in robotics, we kept running into the same problem: the best models never fit the hardware we actually had available.

The models that performed best were usually designed around datacenter assumptions: large GPUs, lots of memory bandwidth, and reliable network access. But most physical systems have the opposit … ⌘ Read more

So Long, ‘Ferrynoia.’ Green Maritime Technology Is Here
From San Francisco to Stockholm, a new generation of electric ferries is entering passenger service, marking a tipping point for green maritime technology. ⌘ Read more

Test your general knowledge with the Good Weekend quiz
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@lyse@lyse.isobeef.org Ah, I almost thought so (that you wrote it by hand), but then I looked at the source code and saw the TOC and I was like: “Naah, probably not. I would be way too lazy to do that manually.” 😅 And indeed … ha.

Oh god, yeah, that’s a lot of <span>. 🤔 Can’t really avoid that, I guess, especially if you want to do syntax highlighting of code blocks.

You wrote your own site generator, didn’t you?

In parts. I write everything in Markdown (it’s online, even: https://movq.de/blog/postings/2026-05-29/0/POSTING-en.md), plus a few Vim shortcuts (to generate thumbnails, for example), and then python-markdown renders it: https://pypi.org/project/Markdown/ This process is wrapped in a shell script, like “re-render every page if the .md file is newer than the .html file” and that’s mostly it. And the Atom feed generator is completely custom. 🤔

In a first, wind and solar generated more power than gas globally in April 2026
Article URL: https://electrek.co/2026/05/20/in-a-first-wind-solar-generated-more-power-than-gas-globally-april-2026/

Comments URL: https://news.ycombinator.com/item?id=48399332

Points: 7

# Comments: 0 ⌘ Read more

‘Odd choices of words’: How an academic’s AI use was exposed by her peers
Western Sydney University has acknowledged that the opinion piece, published by this masthead, was AI-generated using the author’s previous work. ⌘ Read more

Uni academic admits she used AI to write opinion piece in defence of AI
Western Sydney University has acknowledged that the opinion piece, published by this masthead, was AI-generated using the author’s previous work. ⌘ Read more

Uni academic admits she used AI to write opinion piece in defence of AI
Western Sydney University has acknowledged that the opinion piece, published by this masthead, was AI-generated using the author’s previous work. ⌘ Read more

Uni academic admits she used AI to write opinion piece in defence of AI
Western Sydney University has acknowledged that the opinion piece, published by this masthead, was AI-generated using the author’s previous work. ⌘ Read more

@movq@www.uninformativ.de It’s the “Lyse types the entire HTML by hand” generator. Yes, no kidding. I write articles so rarely, that I can do that once in a while. It’s fun to some degree, but also not.

After some time, I finally recorded some Vim macros to insert <b>…</b>, <var>…</var>, <span class=s>…</span> etc. around the tokens. This helped a little bit. But I was still questioning my mental state doing it like that. I also had to fix a bunch of the end tags by hand, because the word movement wasn’t enough or the end movement went too far. Quite the annoying process for sure.

But I think the HTML looks a wee bit nicer and is maybe even semantically a little bit better than having only <span>s everywhere. I find the <span class="whatever"> just soo awfully long. Of course, I never look at the code again, but knowing, that e.g. there is a <b> and it saves so many bytes in comparison, makes me happy. It is a more elegant solution in my opinion. Not by much, but better nonetheless. It’s a matter of simplicity. Admittedly, even I can’t avoid the <span>s alltogether. Oh well. On the other hand, I’m sure that this does not make any difference whatsoever. I bet, nobody and nothing, like a screenreader, analyzes the HTML for that, where this would be truly useful.

Oh! Maybe text browsers, though. It just occurred to me while composing this reply. :-) Haha, I lost my bet quickly. w3m picks up at least the <b> for keywords and builtin types, <u> for filenames and <i> for comments. Yey. No different styles for <var> and <mark>, unfortunately. elinks only renders the bold. It’s cool that I had the right intuition right from the beginning, despite being unable to pinpoint it. :-)

All the <span> hell with common syntax highlighters is a downer for me that keeps me from looking more into them. If I wrote more articles, I might rig something up with Pygments. At least that’s somehow positively connotated in my brain. Not sure if it actually deserves it, but I dealt with that in some loose form (can’t even remember) years and years ago. Apparently, it wasn’t too terrible.

To prepare the table of contents, I used grep and sed with some manual intervention in the end. The entire process can be improved. Absolutely.

You wrote your own site generator, didn’t you?

@lyse@lyse.isobeef.org By the way, which site generator are you using? I kind of miss having code blocks with syntax highlighting and that generic yellow highlighting thing is pretty cool, too.

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1-Bit Bonsai Image 4B Image Generation for Local Devices
Article URL: https://prismml.com/news/bonsai-image-4b

Comments URL: https://news.ycombinator.com/item?id=48346257

Points: 7

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It’s one of the reasons in fact I’ve been working on bob so I have a very concrete and strong foundation for how these things work, how they behave and how bad or good they can be. I am on-purpose building bob to be not only a decent coding tool and general task completion tool, but with serious security boundaries, sanitation, auditing and compliance. If I’m going to succeed at building autoonmous agents that can cope with a wider array of varying inputs (mostly natural language, some structural language) then it needs to be both a) Safe and b) Robust

So going back to the understanding of how it generated this, is quite simply the most statistically relevant search space of it’s weights it has been trianed on and it has basically just produced a series of tokens, one after another that are relevant to the input, the next token and so on. It’s a trivial example I know, but it basically pattern matches it’s way through it’s vast search space just producing outputs based on context.

@movq@www.uninformativ.de I think your points are pretty clear to me, that’s fine. I’m just seeing if you can perhaps see things a different way maybe?🤔 I would challenge the assertion that you cannot understand how Claude Code generated an output; which I can demonstrate easily with a fairly trivial example by the input:

Write a program in Go that sums a list of numbers from stdin and prints the result.

@prologic@twtxt.net Yeah, it’s hard to get my point across here. I tried to address that a few paragraphs down.

Yes, I can tinker with AI techniques on a general level. That’s cool but not really my area of interest.

What I certainly can’t do is learn how specific AI products work. I can’t possibly find out why Claude Code produced that particular line of code. Claude is just a magic box that does something and I have to trust it.

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Hi, I’m Kenny, I’ve been building aislop. I starting working on this after using Claude Code, codex and opencode several times and noticing some slops. They aren’t syntax and passes most tests, they are patterns like empty catch blocks, useless comments, duplicated helpers, dead code and many more. So I built a tool to scan and check for these patterns and wired it into hooks so after each tool call, the agent checks for the slops.

You can try it out with npx aislop sca … ⌘ Read more

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@movq@www.uninformativ.de Thanks. I noticed the <updated> of the feed, too. But for some reason, some articles were suddenly marked as new.

On some YouTube feed <entry>s, I noticed updated <updated> fields showing today’s timestamps. But unless there is no <published>, the <updated> is not even considered. I verified that in the source code. Yet, all the affected articles in Newsboat show today’s timestamp, not the years old publication timestamp. I generate the YouTube feeds from the original feeds myself once a day, so I doubt that this is cause by some YouTube shenanigans.

Very weird, it doesn’t make any sense at all. What is going on here? O_o It doesn’t appear that I have duplicates in the database either.

Of course, @movq@www.uninformativ.de! Most of my points are also included in your list.

First of all, programming is what I really do enjoy the most. So, it doesn’t make any sense at all to not do this anymore. “But you could use your now free time to do something much cooler and more valuable!”, others might reply. Fuck no, I don’t want to waste my time with other shit that doesn’t fulfill me, why on earth would I want to do that?

All this hallucination reduces quality badly. In my experience, it’s also happening much more rapidly than I expected. Even though developers are still supposed to own and understand whatever has been generated under their name and even be responsible for that, the sad reality is that teammates often blindly trust the AI output. “But I asked the AI and it told me that $this was impossible”, “I’ve no idea either, but the AI just generated it” are responses I get more often. What really makes my angry is when I point out a flaw and suggest an alternative and this is the reaction. It happened several times that just trying it out and seeing it clearly work to proof my point only took me half a minute, but people still did something handwavy else instead.

The learning effect is drastically reduced. The more time I spend on a topic, the better the odds that whatever I learned actually makes it over into long-term memory. It’s like if a collegue just says “do it like that” or “this solves your problem”, but neither explains the why or how. Somehow, people are still convinced that it’s a completely different story when you replace the human counterpart with a computer program in this equation.

Skills are unlearned. It’s like with automation in general, just much worse. You end up in a state where you’ve no clue how anything works under the hood or how to actually find out important information that are needed to solve your problem. You’re screwed when a process breaks out of the blue. Even though it can become also rather terrible, with classical automation you’re typically still be able to decipher how exactly the thing was supposed to do something.

The energy consumption is sooo high, I absolutely do not want to be a part in burning down our planet. I’m sure I find (and probably have long found without knowing) other ways to contribute to worsen our climate crisis.

The scraper part is already covered in detail in your list. :-)

I’m convinced that license and copyright violations are only played down or even refused entirely because companies want to make big money quickly. With the work of others of course. Their double standards are obvious, they still try to actively keep their own stuff secret and out of any training sets. At most for internal use only. Virtually noone in charge is interested in good long-term solutions. Short-term for the win, when disaster eventually strikes, the causers are long gone, the responsibilities in other hands.

Vendor lock-in is something that lots of folks are only realizing very slowly. It’s completely crazy to me. This drug dealer routine should be well-known by now. It’s fucking everywhere. Yet, people are always surprised when they found themselves caught in it.

Adding new AI stuff only increases complexity. But complexity is the enemy that everybody should fear and reduce as much as possible. Of course, this is not limited to AI at all. And everywhere I look around, people in charge looooove to make things way more complicated than they ever need to be. Yet, simplicity is the real art and much harder to achieve.

I don’t understand why we have to go back full force to the ambiguity of natural languages. This alone should be more than enough to realize what a stupid idea all that is. Linked to that is that the “instruction set” is interpreted differently with newer model versions. I mean, is has to be. Why else would somebody want to upgrade in the first place than to get more Powerful™ Features™?

Some people argue that with AI the democratization is empowered. However, in my view, the exact opposite is the case. Models are getting so large that you can basically not run them locally or even train them. So, you have to rely on whatever the vendor offers you and runs for you. In the end, this only gives the owners more power, the multi billionaires. Not exactly what I understand by democratization.

Finally, technology assessments are missing completely. Or they are faked such that mostly only the (questionable) benefits are listed. But all the negative impact is just ignored.

Let’s keep some popcorn around for when this all explodes. :-)

1boy 1girl ai_generated blue_eyes blushing_at_viewer compile_heart cowgirl_position cum_in_pussy female_on_top hair_ornament ideafactory neptunia(series) reedio uncensored vaginal_penetration white_hair white_stockings
1boy 1girl ai_generated blue_eyes blushing_at_viewer compile_heart cowgirl_position cum_in_pussy female_on_top hair_ornament idea_factory neptunia_(series) reedio uncensored vaginal_penetration white_hair white_stockings ⌘ Read more

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1boy 1girl ai_generated anal_penetration at_night blue_eyes blush cherry_blossoms compile_heart cum_in_ass female_on_top hair_ornament idea_factory neptunia_(series) night_sky partially_clothed reedio showing_pussy uncensored white_hair ⌘ Read more

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1girl ai_generated blanket blue_eyes blushing_at_viewer breasts compile_heart hair_ornament idea_factory neptunia_(series) nude_female reedio spread_legs uncensored white_hair ⌘ Read more

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YouTube to automatically label AI-generated videos
Article URL: https://variety.com/2026/digital/news/youtube-ai-video-labels-automatic-detection-1236758865/

Comments URL: https://news.ycombinator.com/item?id=48299753

Points: 11

# Comments: 2 ⌘ Read more

I’m Tired of Talking to AI
Article URL: https://orchidfiles.com/im-tired-of-ai-generated-answers/

Comments URL: https://news.ycombinator.com/item?id=48292224

Points: 18

# Comments: 3 ⌘ Read more

Constraint Decay: The Fragility of LLM Agents in Back End Code Generation
Article URL: https://arxiv.org/abs/2605.06445

Comments URL: https://news.ycombinator.com/item?id=48256912

Points: 5

# Comments: 0 ⌘ Read more

Tell HN: I’m tired of AI-generated answers
I found GitHub repositories that were spreading malware. I asked AI what I should do about it, but it gave me nothing useful. So I opened a discussion on GitHub. Someone replied. It was literally the exact same text the AI had given me. I called it out and the comment was deleted. Then another person replied. Same exact AI response again.

I worked as a developer in a company. I asked the business owner a question about a business task. He sent me a ChatGPT screenshot with the an … ⌘ Read more

Ah, there’s even a term for it:

https://en.wikipedia.org/wiki/Generation_effect

The generation effect is a psychological phenomenon whereby information is better remembered if it is generated from one’s own mind rather than simply read.

hfgl with your coding agents

I Cloned Myself With Gemini’s AI Avatar Tool. The Result Was Unnervingly Me
I used the Gemini app to generate lifelike videos featuring a digital clone of myself. Google sees this as the future of creation. I’m still creeped out. ⌘ Read more

Google Makes It Easy to Deepfake Yourself
Google’s overhaul of its AI creation software, Flow, includes a new video model and a tool for generating selfie videos called avatars. ⌘ Read more

Old Oil and Gas Wells Could Find Second Life Producing Clean Energy
States across the US are looking to take major sources of pollution and use them to generate much-needed power. ⌘ Read more

Gen Z Is Pioneering a New Understanding of Truth
The first generation to truly grow up online, Generation Z and their cohort live in a social media ecosystem that blends facts and feelings. It’s significantly shifting how they understand what’s true. ⌘ Read more

I just wanted to look up 9V block battery prices online and these automatically generated descriptions are getting dumber by the minute:

Datum der Erzeugung: Verfallsdatum minus 7 Jahre

(Date of manufacturing: expiration date minus 7 years)

Or look at this one:

Die leistungsstarke 9 V-Block E Batterie, auch 6LR61 genannt, eignet sich besonders gut für Taschenlampen, Radio oder Kinderspielzeug, die einen gleichbleibenden Strombedarf haben. Ihre max. Spannung beträgt 1,5 V.

(The high performance 9 V block E battery, also known as 6LR61, is particularly suitable for torches, radio or child’s toys, which have a steady power demand. Its max. voltage is 1.5 V.)

The battery is best suited for… devices where it fits. No shit, Sherlock! Has anyboy ever come across 9V block torches? O_o I haven’t.

The Audemars Piguet x Swatch Collaboration Is Here for Real
With Instagram awash with inaccurate AI-generated concepts for its Royal Pop collab, Swatch was forced to reveal the genuine article. ⌘ Read more

The Top New Features in Google’s Android 17—and Gemini Intelligence—Coming This Summer
You’ll soon be able to generate your own widgets or ask Gemini to finish a booking in Chrome on Android. ⌘ Read more

I’m not always on the same page as Rob Pike, but this hit close to home:

Although trained in physics, I worked in the computing industry with pride and purpose for over 40 years. And now I can do nothing but sit back and watch it destroy itself for no valid reason beyond hubris (if I’m being charitable).

Ineffable sadness watching something I once loved deliberately lose its soul.

I spent my time trying to make it better. Not just write code, but find better or at least different ways to do so. Simpler, cleaner, more general, more comprehensible.

What’s happening today is a complete repudiation of everything I was trying to achieve.

“Simpler, cleaner, more general, more comprehensible”, that’s what I’ve been trying to establish in our teams as well. Obviously not to the same degree, but you get the idea.

And it all goes out the window now. We’re doing the complete opposite – and with full force.

The iPhone That Never Was
In 1990, three former Apple employees launched a company that epitomized the Silicon Valley dream. What they invented looked like an iPhone—more than a decade earlier. The device never came to be. ⌘ Read more

@itsericwoodward@itsericwoodward.com is there a Gamer Master, or Dungeon Master in Magic? My kid plays DnD, and such person is decisive for many outcomes, and for the quality of the game in general.

Congratulations! :-)

Welcome to the Great American Satellite Age
A new generation of satellite startups in San Francisco is racing to capitalize on recent technological breakthroughs in space-based data collection and communications. ⌘ Read more

The mindset of nerds (or people in general, but nerds especially) appears to be: “There’s a problem – I know how to build a solution around that! (Because I’m good at building things!)”

Rarely does anyone ask: “Why does this problem exist? Can we find a way so that this doesn’t happen in the first place?”

As an enjoyer of delightfully bad graphic design, found on most Czech village center cork boards, I’m sad to see the stolen clipart and badly cropped watermarked stock images, gradually replaced with AI slop.

This is far from a serious rant, but generating images of my kind being telepathically hit with sharp rocks, surely gives me a right to complain.

So far these seem the most prominent slop categories, seem to be…

Architecture slop:

1. find a sketch of what an old building looked like
   
   
2. generate an AI version, without correcting any of the perspective errors - this one is diagonally levitating
   
   
3. generate a recreation of the buildings demise - after going through the AI, for the second time, it is now a completely different building
   
   

Moralizing slop:

History slop:

When the boss tells me they were generous with their estimate for a batch of features ⌘ Read more

When I come across code that uses Math.random() to generate unique IDs ⌘ Read more

Everything changes, right? I know we sound like curmudgeons, and perhaps AI is the next step. We are living its early infancy, the struggles and dislikes, the errors and flaws, and generations after us will simply benefit from it, and see it as natural as my children see the Internet today (it isn’t natural to me, I was born way before it).

Or maybe AI isn’t the next step. Either way, whether we like it or not, there is truly absolutely nothing (or close to) we can do. Well, complain we can, of course. :-P