Constantly bewailing

https://social.vivaldi.net/@RosaCtrl

Resented 🇨🇱 ✈️ 🇳🇴 immigrant compiling thoughts and feelings into muscles. I’ll flood your timeline with toots, many of them being lyrics without explanation, because elder millennial

Pronouns: She, her, hers / Hun, henne, hennes / Ella

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Last Notes

2026-10-27 06:54:50 UTC

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the hopes is that you won’t pay the professionals soon. Just yesterday two colleagues were saying that soon the product guys will be prompting Claude and they will lose their job

2026-10-25 02:36:30 UTC

So how do you feel about #LLM?

2026-10-19 07:37:20 UTC

Has anyone succeeded running any #BSD on a 15” Mid-2014 MacBook Pro? If so, which one? And do you have notes? 🙏

2026-10-08 20:11:46 UTC

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This is no revelation, but needs to be said louder: ‘When the CEO of a tech company says "In the future, everyone will use AI," he is trying to bend reality toward that vision […]. His prophecy is therefore not descriptive, but prescriptive, in that he is proposing a certain course of action. People who listen to that prophecy and act as if it were true, say, by buying the Al for fear of missing out, might think that what they are doing is getting ahead of the curve, but what they are actually doing is akin to obeying an order.
‘"Anticipatory obedience is a political tragedy," writes the historian Timothy Snyder. It's his first lesson in resisting tyranny. Obeying in advance means adapting to a situation instinctively, unreflectively, before you receive explicit orders. An analysis of predictions as speech acts partly explains why and how we tend to acquiesce to authoritarian leaders: by believing and acting in accordance with their predictions. We don't even notice were obeying. Perhaps because the structure of sentences that express predictions is so similar to those that describe the world, if we are not mindful, our psychology tends to accept other people's visions as inevitable truths that are on their way to materializing.’

2026-10-08 20:06:21 UTC

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“[…] when a financial pundit predicts that a country is going to have a financial crash, it seems that they are merely describing the future, when in fact they are instigating investors to flee that country. When someone makes a prediction about human affairs, they seem to be describing the future, but they are influencing it—even when it is not their intention.”
Me every time I say we are fucked 🤯

2026-10-07 20:32:00 UTC

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“Predictive societies tend toward oppression through surveillance and self-fulfilling prophecies because predictions are speech acts that are closer to commands than to truth claims.”
We are fucked, and having made that prediction, I’ll go to sleep

2026-10-07 20:14:18 UTC

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“Don’t be a turkey. Read on.”

2026-10-07 18:59:25 UTC

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“Humes conclusion—the problem of induction—is that our tendency to project past regularities into the future is not supported by reason. We are not justified in assuming that the future will be like the past. Sextus Empiricus is a precursor of this idea, writing in his Outlines of Pyrrhonism that if we focus on specific instances, "some of the particulars omitted in the induction may contravene the universal," while reviewing all of the particulars is "impossible, since the particulars are infinite"; therefore, "induction is invalidated." That is, it occurred to Sextus and Hume that we might be turkeys.”

2026-10-07 18:53:19 UTC

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‘Truth and justice need facts and causality, and probability deals with chances. That's why David Hume was not a fan: "’Tis commonly allowed by philosophers that what the vulgar call chance is nothing but a secret and conceal'd cause." Was Hume right?’
This joke is risky as hell

2026-10-07 18:50:01 UTC

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“Another set of cases in which a probabilistic take is not good enough is when there's a definitive answer to a question, and we have ways of accessing it. If we can't see the ball, Bayesian thinking can achieve very impressive results. But when we can just turn around and see the ball, when we can consult a library to see which books an author has written, when we can look up legal cases to find precedents, then probabilistic answers short of citing trustworthy sources are not the gold standard.”
And yet this is the most common use for language models. And whenever I’ve brought it up I’ve been treated as just an ignorant woman that can’t see what the future is bringing. This timeline is so fucking stupid

2026-10-07 18:46:27 UTC

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“The Bayesian turkey will feel the safest the night before its death.”
A t-shirt that says ⬆️

2026-10-07 18:45:06 UTC

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“Consider a turkey living on a farm. Every day of its life, the turkey is fed, kept warm, and cared for with apparent kindness by its caretakers. And every day that passes, the turkey grows confident that the following day will be remarkably similar to the previous one. The lonely turkey will never get the kind of data that would allow it to infer that his neck will be wrung come November.”
Lovely way to make fun of Bayesian statistics. It says the original is by Bertrand Russell, and the victim was a chicken

2026-10-07 18:39:04 UTC

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“The more we deal with industry Als that perform statistical analyses for profit, the further away we get from science and a concern for causation and truth. It doesn't help that most data scientists are not trained in causality. That's partly because the limits of correlation have not been adequately recognized since the time of alton (the eugenicist who interpreted correlations as causes) and beyond, and Partly because there is not enough of a market for truth.”
Reassuring. Also funny that the same people screaming “correlation doesn’t imply causation” in 2020 are boosting this thing in irresponsible ways

2026-10-06 19:57:16 UTC

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“When was the last time you felt that you were the centre of someone’s attention for an extended conversation?”
That this is a question worries me 🫤
(Last night. I had a two hour phone call with a friend, one hour of bitching per participant)

2026-10-06 19:49:12 UTC

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Love the technical vocabulary
https://social-cdn.vivaldi.net/system/media_attachments/files/117/395/695/132/583/165/original/eed310057ee6988a.jpeg
https://social-cdn.vivaldi.net/system/media_attachments/files/117/395/695/133/940/832/original/41131968a908a917.jpeg
https://social-cdn.vivaldi.net/system/media_attachments/files/117/395/695/130/243/740/original/acd9017abea6452e.jpeg

2026-10-06 19:24:38 UTC

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“Fiction is simplified, custom designed to affect us in a particular way, while truth is messy and unwieldy, hard to appreciate in all its richness.”
I hate that she didn’t qualified it as genre fiction. Let me fix it: “Genre fiction is simplified, custom designed to affect us in a particular way, while literary fiction is messy and unwieldy, hard to appreciate in all its richness.” Pretty sure Véliz would agree with this version (even if it missed the point)

2026-10-06 19:19:47 UTC

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“The world is fundamentally unpredictable in a way that is never going to go away.”

2026-10-06 19:16:49 UTC

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“We are so bad at forecasting that we can't even tell what will make us happy. You'd think that after a lifetime of experiences that inform us about what gives us pleasure and pain, wed have a better sense of what to pursue for our own well-being. But human beings—you and I included, unfortunately—systematically overestimate how happy we will feel if we attain what we desire and how miserable we will be if we don't.”
She wasn’t joking when she said in the prelude that this was as much of a self-help book as popsci and philosophy one

2026-10-06 18:29:22 UTC

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“The main promise of prediction is power, not accuracy. If a prediction manages to enhance the power of the prophet, or the patron of the prophet, then it can count as a success, at least for them.”

2026-10-06 18:25:42 UTC

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“The triumph of machine learning is a corporate victory much more than a scientific one. Idealists might find it anticlimactic, even depressing. Someone wanting to put it crassly might say that we simply threw money at the problem.”
Making sure the people that should read this book don’t read this book

2026-10-06 18:15:23 UTC

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“Symbolic Al is hard partly because much of what we know is know how, as opposed to know that.” This is Gilbert Ryle and I’m annoyed because she doesn’t mention him. He is really out of fashion, huh?

2026-10-05 20:36:20 UTC

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I will always love a non-fiction book that point out how writers saw the absurdity of the world. Here the author mentions Hard Times, which is not one of the most popular by Dickens, and that’s wrong

2026-10-05 20:31:01 UTC

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“Quantification gave us the nation-state and the Industrial Revolution. It made the world more predictable, allowing for scalability. Quantification empowered the government to become larger. A king without numbers can only see what his eyes can glimpse, and he can only vaguely know what his informants, similarly limited by the reach of their vision, tell him. Without knowledge of the size of the population and the resources being produced, large-scale military coordination and taxation were unfeasible.”

2026-10-05 20:28:06 UTC

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“The illusion of objectivity comes at the price of straying away from the reality on the ground.”

2026-10-05 20:21:35 UTC

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“Nineteenth-century bureaucrats wouldn't have called what they did data-driven, but they were the first to realize that they could use numbers to hide values. Quantification is a way of making decisions while not taking political responsibility for them, as if numbers were deciding, and not people.”

2026-10-05 20:17:25 UTC

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“Population statistics was born as a way to exercise power over people-first those whom we mistrusted the most and then everyone else. First, we counted those in jails and insane asylums, then those in colonies (the first censuses were done in Peru, Virginia, Nova Scotia, Quebec, and New York), then minorities, and then the entire population.”

2026-10-05 20:14:27 UTC

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“How we count things changes how we think about them. When we say that people die of heart attacks, as opposed to old age, the remedy seems closer at hand. If only we could avoid heart attacks, we could avoid deaths.”

2026-10-05 20:11:14 UTC

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“Friedrich Wilhelm I inaugurated Prussian statistics in the eighteenth century. By 1730, people were sorted into nine different categories, with working citizens being classified according to twenty-four occupations and relevant subcategories, including hat makers and stocking makers. […]
“The purpose of such minute record keeping was threefold: to determine the power of the state, to facilitate taxation, and to control people—especially minorities. Most minority groups were only counted locally, and their categories were haphazard-except for Jewish people. Complete and separate tables enumerating Jewish people became routine from 1769, a precedent for the Holocaust.”
Just nuts how much of our world are just the precursor of nazism

2026-10-05 18:28:55 UTC

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“The concept of normal created a benchmark against which to compare people. The idea of normal people killed the suspension of judgment when contemplating human beings. People who had been individuals with a name suddenly became tokens belonging to a type category. And if the label didn't fit well, the system beat up people into a square until they fit the box. People who had been just themselves became normal or deviant, typical or outliers, mediocre or extraordinary. Galton and his ilk killed the idiosyncratic person. Centuries later, predictive algorithms would inherit these faults, creating social order out of ambiguity and harming those at the margins”

2026-10-05 18:16:19 UTC

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“Once Quetelet made mean characteristics into real quantities, the scientific community started thinking of departure from the mean not only as errors (as in the case of measuring stars) but as deviation caused by nature.”

2026-10-05 18:08:01 UTC

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“He had a Bayesian interpretation of probability (though he wouldn't have called it that). The world is deterministic, and we need probability only because we have incomplete information, thought Laplace.
“Is it a coincidence that Laplace was a staunch believer in determinism and had questionable character traits? It's reassuring to think that you're not responsible for your faults, that necessary causes made you do it.”
I’m a Laplace kind of idiot

2026-10-05 18:00:25 UTC

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“Every year, about 400,000 rapes are perpetrated in the U.K. Of those, about 70,000 get reported to the police. Of those, only around 4,000 end up in the Crown Prosecution Service, only about 2,000 stand trial, and only about 1,000 or fewer end up in conviction. 2 That makes the impunity rate for rape around 99.8 percent. By having an almost perfect impunity rate, countries like the U.K. have effectively decriminalized rape.”
Just random data, no comments

2026-10-02 20:25:10 UTC

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“In his old age, de Moivre noticed that he was sleeping about fifteen minutes longer each night. Being a mathematician, he calculated that he would die on the day when his sleep reached twenty-four hours, on November 27, 1754. And on that very day he died, as predicted. Unfortunately, this story is likely apocryphal. It's worth noting it, however, because it shows how gullible we are to those who seem to know more than we do. Magical thinking sprouts in the face of impressive mathematical discoveries and proofs.”

2026-10-01 19:57:57 UTC

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“Numbers, standards, and statistics make politics and power invisible.”

2026-10-01 19:46:45 UTC

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“Those who believe philosophy is an abstract and useless pursuit are being duped by people who are hiding their philosophical underpinnings. Having philosophical views is inevitable. But some views are more rigorous than others […]”
Literally what happened to me

2026-10-01 19:01:42 UTC

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“Acknowledging that some benefits came at a cost is important if we are to learn from the past. Technology can always be designed differently, and a better understanding of what we've lost can inspire us to design the future in ways that minimize further losses.”
My problem with Véliz so far is that she is an optimist

2026-10-01 18:54:29 UTC

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“While our methods of prediction have changed, the place of prediction in the halls of power hasn't. The astrologers were replaced first by mathematicians and social scientists and more recently by computer scientists and tech executives.”

2026-10-01 18:31:50 UTC

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“If there is only one lesson you retain from this book, let it be this: Predictions are often power moves disguised as quests for knowledge. Even when predictions are sincere, they can create currents of political influence that change the world.”

2026-10-01 17:06:22 UTC

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do you know from which text is this?

2026-09-27 10:54:18 UTC

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«Seers followed diagnosis with a prophylactic treatment, analogous to when tech companies prescribe more tech to deal with the problems that arise from tech.»

2026-09-25 18:45:03 UTC

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“Wouldn't you like a tip-off to give you a chance at dodging the next wrecking ball? You might be able to escape a car crash, or being the victim of a crime, or getting involved with the wrong person.”
Actually, I posit that no prediction could ever prevent someone from getting involved with the wrong person

2026-09-25 18:34:31 UTC

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“Generative Als, I argue, are fortune tellers, as opposed to truth tellers, and the ultimate prediction machine is also the ultimate bullshitter.” As if I had chosen this book because it aligns with my opinions

2026-09-25 18:18:48 UTC

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Paraphrasing: I’m not a fan of Nietzsche but he was right. 10/10

2026-09-25 18:07:05 UTC

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“I begin my philosophy classes by reminding my students that, statistically, their lives are likely to crumble to rubble at least twice.” You have no idea how much I wish someone has told me this when I was a kid, instead of keeping me in that safe bubble that fucked me up

2026-09-25 18:04:53 UTC

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“Sometimes I think of people as walking ketchup packets, the only thing between us and disintegration being a thin layer of permeable skin. Just slightly too much pressure, and we go splat.” 10/10

2026-09-25 17:51:17 UTC

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Let’s go!
https://social-cdn.vivaldi.net/system/media_attachments/files/117/332/946/162/988/790/original/09ca0dc3afda029d.jpeg

2026-09-25 11:20:40 UTC

Mind you, every author accused so far has been a person of colour https://www.bbc.com/news/articles/ck7v4y45893go

2026-09-15 13:14:30 UTC

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do you think I’ll have look installing it on a 2014 MacBook Pro?

2026-09-08 18:05:19 UTC

“Today's computer scientists play the same role as the oracles of the ancient world and the astrologers of the Middle Ages. While methods have changed, the political function of prediction has remained the same. Predictions are the arena where fights about the future take place.” Give me two please

2026-08-21 17:31:32 UTC

A question by someone who knows nothing about operating systems and is very anxious so is having stupid thoughts: can’t drivers be abstracted away so they don’t have to be rewritten again? I’m imagining a micro kernel could load a driver that exposes an API but it’s not tied to an specific OS. How dumb is this and way?

2026-08-12 15:56:17 UTC

What if instead of generated, vibed or even slop, we all say plagiarised

2026-07-29 17:57:51 UTC

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this made my day! I even remember when I was trying to figure out what it was

2026-05-23 20:55:23 UTC

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I gather you are enjoying it! Also, this is why I prefer ebooks 😅 I bought it for the Kindle and the search function was very handy

2026-05-20 20:24:26 UTC

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RE: https://social.vivaldi.net/@RosaCtrl/115159004353409687
@npub1z8r…mrq6 before I read Wilson’s I didn’t care that much about translations. I was already bilingual and somehow kept thinking that literary translations were easy and formulaic 😳 Her love for this work made me devour all the interviews she was giving at the time. I some times dream of becoming a literary translator myself!
You may enjoy this
#note15hd…qnvg

2026-05-20 20:19:33 UTC

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yes! I also wanna read Ulysses this year! But more importantly I need to say that Wilson’s Odyssey is the most beautiful Odyssey I’ve ever read! (n=2 😅) You’ll surely like it!

2026-05-06 20:24:26 UTC

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I had to Google him and…
https://social-cdn.vivaldi.net/system/media_attachments/files/116/529/499/936/302/136/original/c5fbb38d3db95c8a.jpeg

2026-05-06 19:25:17 UTC

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of you happen to read it we could discuss it!

2026-05-03 05:38:48 UTC

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I’ve tried it a couple of times and I never understood why people would use it. But then again, I’m the kind of person that’s not hyped about LLMs and is definitely hyped every time they remove a feature from Neovim

2026-04-04 09:36:12 UTC

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This is happening so next time I see my psychologist we can have a nerdy discussion of why I believe it was inevitable to end as I did yet I don’t like it
https://social-cdn.vivaldi.net/system/media_attachments/files/116/345/756/640/541/036/original/92f7712fc9a7cb95.jpeg

2026-04-03 12:55:23 UTC

RE: https://social.vivaldi.net/@RosaCtrl/116340667618436655
This reminded me that I should read The concept of mind by Ryle
#note1gfp…dsac

2026-04-03 12:01:46 UTC

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«[…] automatization is complete when you fully rely on episodic memory and do not use any reasoning at all. This automatic performance of tasks is quick and effortless because retrieval from memory is faster than actively thinking of the task at hand and can be done with little or no conscious attention. If you have fully automatized a task, you will also feel no need to go back and check your work, which you might be tempted to do when completing a task by reasoning.» Daaaaaang! I knew we were giving «reasoning» too much credit!

2026-04-03 11:49:49 UTC

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Reached the part of the book where the generation of explicit memories is explained. The very annoying part is that math skills are described as such, and so you get better at them by practicing, instead of being born with some talent for it, which is pretty much what I thought when I was a kid because unlike other subjects I sucked at it, and so I never properly learned anything

2026-03-31 19:51:08 UTC

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“Research shows that experts especially rely heavily on episodic memory when solving problems. In a sense, experts recreate, rather than solve, familiar problems. That means that instead of finding a new solution, they rely on solutions that have previously worked for similar problems.”

2026-03-31 19:27:32 UTC

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No wonder this scale has been criticised, we need to come up with out own:
0. Very, very low mental effort
1. Very low mental effort
2. Low mental effort
3. Rather low mental effort
4. Neither high nor low mental effort
5. Rather high mental effort
6. High mental effort
7. Very high mental effort
8. Very, very high mental effort
(The numbers weren’t in the source)

2026-03-31 19:24:52 UTC

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I’m loving the idea that code can cognitively overload you, something that I’m pretty sure we have all experienced. And so, instead of talking about good or bad code, we can just talk about how much cognitive load it has, and try to reduce it with techniques that are already documented

2026-03-31 17:53:47 UTC

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The best thing about this book is that every single stupid mistake I’ve made in the past reveals now as very common and just due to the interaction of bad code and human brains

2026-03-29 08:16:31 UTC

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“[…] when you start a new project, you might want to take extra care in choosing good names, because the way you create names in the early stages of a project is likely going to be the way the names will be created forever.” Vindication

2026-03-29 07:59:28 UTC

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“Use tests and documentation within a code-base to help prevent misconceptions.”
There’s nothing more to be said about how and when to comment and test code

2026-03-29 07:45:33 UTC

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“The process of replacing a misconception based on a programming language you already know with the right mental model for the new language you are learning is called conceptual change. In this paradigm, an existing conception is fundamentally changed, replaced, or assimilated by the new know ledge.” Can’t stop thinking about “type classes are like interfaces”. No.
Edit: it proceeds to explain that learning Java after Python my lead to misconceptions and then you have haskellers swearing there’s nothing wrong with saying that type classes are interfaces. Truly Haskell is hard for the same reason that Nix is hard

2026-03-29 07:41:58 UTC

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“Because misconceptions are held with such high confidence, it can be hard to change someone's mind about them. Often, it is not enough to point out the flaw in their thinking. Instead, to change a misconception, the faulty way of thinking needs to be replaced with a new way of thinking.”

2026-03-26 19:41:23 UTC

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“What you can assume people will know is not fixed in time and place, of course. When explaining a concept, it is therefore important to choose a comparison that the person you are explaining it to will be familiar with. For example, when explaining a computer's functionality to children in rural India, some educators have used elephants as computers and their trainers as the programmers since that is a principle familiar to the children.” 🤯

2026-03-26 19:35:28 UTC

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“[…] you should be careful about describing programming concepts and the corresponding workings of the computer in terms of objects and operations in the real world. While these metaphors can be valuable, they might also create confusion, especially since old mental models can remain in the long term memory and occasionally pop up in the working memory too.” Thank you‼️

2026-03-26 18:53:32 UTC

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‘You might think that when you learn how something works in more depth, the old, "wrong" mental model is removed from your brain and replaced by a better one. However, in previous chapters we have seen that it is not likely that that information disappears completely from the LTM. […] So, especially in a situation of high cognitive load, you might suddenly use an old model.’

2026-03-26 18:49:41 UTC

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‘Have you ever asked a computer to do something, like "Please work this time?" Even though you know a computer is not a sentient being and cannot listen to you, you might still hold a mental model of a computer as an entity that can decide to act in your favor.’ This book has shown its age 😅

2026-03-26 12:21:07 UTC

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“While most people Seibel interviewed said that reading code was important and that programmers should do it more, very few of them could name code that they had read recently. Donald Knuth was a notable exception.“

2026-03-26 12:14:56 UTC

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“The focal point of code is an important notion when reading code. Simply put, you have to know where to start reading. Some frameworks and techniques, like dependency injection frameworks, can fragment focal points so that they are far apart and hard to link together.”

2026-03-26 07:54:42 UTC

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“When reading entirely unfamiliar code, I find it helps to print out the code on paper or save it as a PDF that I can annotate. I realize it may feel weir to read code outside of the IDE, and you will tainly miss some features, like being able to search through the code. However, being able to write notes can deepen your thinking about the code, enabling you to interact with it on a different level.”

2026-03-22 20:00:18 UTC

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This books is making me doubly down on the idea that programming sucks because programmers suck, not because programming languages sucks. We approach the discipline in a way that’s nothing rigorous at all. We call 100% coverage rigor, and that’s laughable.
If you think and LLM can write code that’s as good or better than yours, that’s on you

2026-03-22 13:59:13 UTC

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I have to go, but what a cliffhanger: “Sajaniemi argues that with just 11 roles, you can describe almost all variables”

2026-03-22 13:18:23 UTC

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The point of the chapter though is that readability and maintainability aren’t the same, and readability depends on the experience of who is reading.
So, for example, I tend to dislike loops now, I think they add too much noise to what usually can be just a map + a filter call, or reduce or whatever. But before I started to learn Haskell any code using higher order functions was overly confusing for me.
I been rejecting any attempt to make languages easier to learn or more familiar based on how my own experience. Learning is uncomfortable and takes time. There’s no shortcut. If you wanna help beginners don’t be an asshole when they ask stuff. That’s 100 better than adding braces to an ML language (yes I’m still mad at ReasonML)

2026-03-22 12:26:30 UTC

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In the age of so called AI isn’t it weird I’m reading a book that teaches you how to use refactoring and state tables for the sole purpose of understanding?
Weird is good though

2026-03-21 16:56:28 UTC

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“[…] recent research indicates that people never really forget memories—and that it’s the retrieval strength of memories that decays over the years”

2026-03-21 16:50:26 UTC

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“In summary, you remember the longest if you study over a longer period. That doesn't mean you need to spend more time studying; it means you should study at more spaced-out intervals. […] This is, of course, in stark contrast with formal education, where we try to cram all the knowledge into one semester, or with bootcamps that seek to educate people in three months.”

2026-03-21 08:28:51 UTC

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“after taking a course on design patterns, the time participants needed to maintain code was lower for the code with patterns but not for the code without patterns. The results of this study indicate that gaining knowledge about design patterns, which is likely going to improve your chunking ability, helps you process code faster. You can also see in the graphs that there is a difference in effect for different design patterns: the decrease in time is bigger for the observer pattern than for the decorator pattern.”
I have no idea what the decorator pattern is, but I’m a fan of the observer and i sprinkle it everywhere whenever I can.
A tangent: I think this the magic of functional programming: you have some well defined concepts that you can mix and match. It’s hard to learn them because they are unfamiliar, not because they are difficult, but once you do, it’s easier to reason about stuff that uses them

2026-03-21 08:20:40 UTC

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‘Beacons are parts of a program that help a programmer understand what the code does. You can think of a beacon like a line of code, or even part of a line of code, that your eye falls on which makes you think, "Aha, now I see."
Beacons typically indicate that a piece of code contains certain data structures, algorithms, or approaches.’
Turns out that all that time I spend “making the code pretty” I was just making it understandable. The question is if what I consider pretty/understandable is the same as other programmers would call pretty/understandable

2026-03-21 08:07:02 UTC

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“Research has shown that when code contains comments, programmers will take more time to read it.”

2026-03-20 19:24:33 UTC

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Wait‼️ Why am I just now learning that @npub1nnz…gltu wrote a paper title “Programming is writing is programming”⁉️ That’s so obviously my jam! https://dl.acm.org/doi/10.1145/3079368.3079413

2026-03-20 19:17:36 UTC

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(Manning currently has a 35% discount so go get it and maybe read it along with me? https://www.manning.com/books/the-programmers-brain)

2026-03-20 19:11:18 UTC

After a long while, I bought an (DRM-free) ebook again
https://social-cdn.vivaldi.net/system/media_attachments/files/116/263/084/188/404/815/original/6a939db7d7e82ee4.jpeg

2026-02-24 17:43:42 UTC

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here I kinda disagree. Contemporary copyright was conceived as tool to enable corporate abuse, yes. But I wouldn’t abolish it, I would revert it to its original conception (was it 10 years after publication?)
That being said, my mind here was shaped by a certain book by a certain Lessig, so I’m eager to stand corrected

2026-02-20 06:27:08 UTC

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One big way in which they differ is that programming exists

2026-02-19 13:41:58 UTC

Turns out programming and software engineering aren’t the same, and that’s fine. Regardless of what my contract says I’ve always considered myself a programmer

2026-02-18 15:34:07 UTC

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The author is being too nice about the whole thing. Fuck Microsoft and every slopper https://nvie.com/posts/15-years-later/

2026-02-17 21:15:56 UTC

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WTF is wrong with people in this industry‼️

2026-02-17 21:15:24 UTC

RE: https://mstdn.social/@dazfuller/116080728819432902
Why did they have to recreate the fucking diagram? Couldn’t they just contact the author and ask for permission? Everyone has seen the original https://nvie.com/posts/a-successful-git-branching-model/
#note1zn9…3r5g

2026-02-09 06:55:23 UTC

“Works for Anthropic” (derogatory)

2026-02-06 20:21:47 UTC

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quick search in Spanish reveals she was the wife of a viceroy of Peru in the 16 hundreds. A story says she got sick shortly after they arrived in Lima and a indigenous serf used extract from the quinoa’s bark to heal her

2026-02-02 16:43:38 UTC

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what’s the title?

2026-01-21 15:41:25 UTC

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it seems to me more like Microsoft in particular is struggling to sell it, which it’s still fine. But I’m with @npub1dgn…6vfx, even if Microsoft AI business crashes and burns, there are other companies that seem to be doing better

2026-01-17 12:46:53 UTC

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RE: https://social.vivaldi.net/@RosaCtrl/115901463370242842
@npub1p09…m5vl I updated my iPhone because security updates are not delivered to supported devices, sorry
#note1w86…2grh