Skip to content

Piero Bosio Social Web Site Personale Logo Fediverso

Social Forum federato con il resto del mondo. Non contano le istanze, contano le persone

do you have a favourite man page?

Uncategorized
119 85 0

Gli ultimi otto messaggi ricevuti dalla Federazione
  • @matt "quantity has a quality all its own". Maybe I can write better code, given sufficient time. I can certainly write more concise code (especially in Perl).

    But, the models write code an order of magnitude faster than I can, and they can write code 24/7. And, honestly, it's pretty good code, most of the time.

    It's still true that the hardest part is deciding what to make rather than making it, but it's drastically easier to write software now with the AI than doing it myself.

    read more

  • @swelljoe yup. But if you use it as a tool to assist you, you can assist yourself. I found that out yesterday.

    https://berryvilleiml.com/2026/02/18/using-gemini-in-the-silver-bullet-reboot/

    read more

  • @swelljoe That's interesting considering that if I'm not mistaken (based on your work on Webmin/Virtualmin), one of your best languages is Perl. I never seriously got into Perl, but it has a reputation for being quite expressive. So in theory, you should be able to express what you want directly in the language. It feels wrong that giving instructions to an LLM, in ambiguous natural language, and having it grind away, is kicking your ass even in a language like Perl. Like a failure of PL design.

    read more

  • @clayote I mean, there are still problems it can't solve, but that set is much smaller than you would think if you last looked at it seriously any time up until a few months ago. The models now can search the web, instrument software so they can test without human intervention, and plan quite large/complicated projects for implementation across several context windows.

    When driven by an expert, there is very little it can't do, and it does it all very, very, rapidly.

    read more

  • @clayote it is quite wrong, as of October of last year, when the current crop of models arrived. As of Opus 4.5, Codex 5.2, and Gemini 3, when used in an agentic context (e.g. Claude Code), they're not limited to simple/repetitive code or code that is prominent in the training data.

    The training data is "the entire internet and all of public Github", so it knows every language, every framework. Yeah, it's better at simple CRUD apps in TypeScript, but it also kicks my ass in my best languages.

    read more

  • @clayote @swelljoe I'd say that was true not that long ago, but not necessarily now. More likely to be true of those people who don't even look at the output, which I think is atrocious.

    read more

  • @noplasticshower yeah, I'm confident that many, if not all, of the major models have ingested the thousands of posts I've made to the forum I maintain for the OSS projects I work on. I feel ambivalent about that. On one hand, if someone is asking ChatGPT for help with my software, I'd rather it give reasonable answers than dangerous ones.

    But, also, it sucks that the way it does that kind of thing is DDoSing my websites periodically and blatantly disregarding copyright or licenses.

    read more

  • @swelljoe As a non-user of AI (lucky), my impression was that in the areas it works well in -- repetitive codebases that resemble ones in the training dataset -- the productivity increase also incurs technical debt at a rate higher than if you'd gotten some junior coders to do it; is that wrong?

    read more
Post suggeriti
  • Speaking of AI.

    Uncategorized
    16
    0 Votes
    16 Posts
    12 Views
    @matt "quantity has a quality all its own". Maybe I can write better code, given sufficient time. I can certainly write more concise code (especially in Perl).But, the models write code an order of magnitude faster than I can, and they can write code 24/7. And, honestly, it's pretty good code, most of the time.It's still true that the hardest part is deciding what to make rather than making it, but it's drastically easier to write software now with the AI than doing it myself.
  • 0 Votes
    1 Posts
    0 Views
    This video is amazing...so amazing, I am skeptical. This is unbelievable dexterity for a robot. There have been huge leaps in the past couple decades, true, but this feels like it's too far, and out of nowhere.But, there's another technology where China is kicking ass: Generative AI video, especially motion capture/application.I assume there must be human witnesses, so it seems like word would get out at some point if it were fake, maybe I'm just overly skeptical. https://www.youtube.com/watch?v=R6T-Ea5CfRE
  • 0 Votes
    1 Posts
    0 Views
    Inside a Dutch Street Organ: The Art of Mechanical Music-Making[James]’ Mechanical Organ of Dutch origin has been around longer than he has, but thanks to being rebuilt over the years and lovingly cared for, it delivers its unique performances just as well as it did back in the day. Even better, we’re treated to a good look at how it works.The organ produces music by playing notes on embedded instruments, which are themselves operated by air pressure, with note arrangements read off what amounts to a very long punch card. [James] gives a great tour of this fantastic machine, so check it out in the video embedded below along with a couple of its performances.The machine is mobile and entirely self-contained. It would be wheeled out to a venue, where it would play music as long as one could keep cranking the main wheel and the perforated cardboard book containing the chosen musical arrangement hasn’t reached its end. As perforations in the card scroll by inside the machine, each hole triggers valves that operate pipes, percussion hits, and even operate animatronic figures.Folded stacks of perforated cardboard make up the musical arrangement.The air pressure needed to do all this comes from a reservoir fed by two bellows operated by continuous rotation of a large wheel, a job that requires a fair bit of effort. Turning that crank would likely have been the responsibility of the lowest-ranking person within reach. Today, the preferred method is a belt drive and electric motor.The perforated cardboard arrangements mean that the machine is just as programmable today as it ever was, and happily plays classics as easily as Lady Gaga, Daft Punk, and Queen. [James] has an enormous library of music, so take a moment to listen to it play “Night Fever” by the Bee Gees and Daft Punk’s “Get Lucky”.One interesting tidbit [James] shares is that there is a bit of artistry and skill involved in arranging music for the machine. Some instruments play immediately when triggered (such as the pipes) while others trigger after a delay (like percussion), so one needs to take all this into account when punching the cardboard. There’s a bit more info on [James]’ website about his machine and its history.In addition to being a fascinating piece of musical and mechanical history, it is another example of just how effective of a technology punched card was. Many of us might think of early computing or even music when we think of punched cards, but the original use was in running looms and knitting machines.youtube.com/embed/KG_k6iyC2ME?…youtube.com/embed/Ua0W3nVtZ0M?…youtube.com/embed/EWO1-WE4oNw?…Thanks [Keith Olson] for the tip!hackaday.com/2026/02/18/inside…
  • 0 Votes
    1 Posts
    0 Views
    #MAGA #TrumpEconomy #TrumpEpstein #TrumpCoverup #pedophileprotector