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In-reply-to » @lyse Thanks! There are a few points in there that I’ll add to my list.

@bender@twtxt.net Now that’s an interesting philosophical viewpoint right there. But this assumes that the “AI” we seemingly have available to us today is actually telligent, understands and has cognitive reasoning. It does not. All of these LLM models from big-tech companies like Anthropic, OpenAI, Google, Microsoft, Meta and Alibaba are all just very powerful, very large multidimensional neural networks with attention that are very good at statistical probabilities of ‘what comes next”. I think we get really upset over the wrong things sometimes. We need to continue to be upset that these đŸ€Ź companies have basically destroyed any meaningful value of the concept of Copyright and Intellectual Property and Works of art. The so-called “AI” we have today is just a tool. Can you say for certain that the typewriter and the computer ruined our ability to write? Perhaps yes, but we still learn how to do so, likewise, I still think that learning to write code, research, read and write are all valuable skills to learn. Later on once you have the basics, you can defer some of the “tedious” work to these models, because frankly, they’re far better at inferencing and pattern matching than you or i will ever be, not because they’re better at pattern-matching per se, but because they have been trained on a very large corpus and they are much much faster at doing the same basic things we are far superior at.

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In-reply-to » I’ve started collecting reasons against AI usage here, so I don’t have to repeat myself all the time:

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 Powerfulℱ Featuresℱ?

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. :-)

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In-reply-to » @bender Thanks for this illustration, it completely “misunderstood” everything I wrote and confidently spat out garbage. 👌

@prologic@twtxt.net Let’s go through it one by one. Here’s a wall of text that took me over 1.5 hours to write.

The criticism of AI as untrustworthy is a problem of misapplication, not capability.

This section says AI should not be treated as an authority. This is actually just what I said, except the AI phrased/framed it like it was a counter-argument.

The AI also said that users must develop “AI literacy”, again phrasing/framing it like a counter-argument. Well, that is also just what I said. I said you should treat AI output like a random blog and you should verify the sources, yadda yadda. That is “AI literacy”, isn’t it?

My text went one step further, though: I said that when you take this requirement of “AI literacy” into account, you basically end up with a fancy search engine, with extra overhead that costs time. The AI missed/ignored this in its reply.

Okay, so, the AI also said that you should use AI tools just for drafting and brainstorming. Granted, a very rough draft of something will probably be doable. But then you have to diligently verify every little detail of this draft – okay, fine, a draft is a draft, it’s fine if it contains errors. The thing is, though, that you really must do this verification. And I claim that many people will not do it, because AI outputs look sooooo convincing, they don’t feel like a draft that needs editing.

Can you, as an expert, still use an AI draft as a basis/foundation? Yeah, probably. But here’s the kicker: You did not create that draft. You were not involved in the “thought process” behind it. When you, a human being, make a draft, you often think something like: “Okay, I want to draw a picture of a landscape and there’s going to be a little house, but for now, I’ll just put in a rough sketch of the house and add the details later.” You are aware of what you left out. When the AI did the draft, you are not aware of what’s missing – even more so when every AI output already looks like a final product. For me, personally, this makes it much harder and slower to verify such a draft, and I mentioned this in my text.

Skill Erosion vs. Skill Evolution

You, @prologic@twtxt.net, also mentioned this in your car tyre example.

In my text, I gave two analogies: The gym analogy and the Google Translate analogy. Your car tyre example falls in the same category, but Gemini’s calculator example is different (and, again, gaslight-y, see below).

What I meant in my text: A person wants to be a programmer. To me, a programmer is a person who writes code, understands code, maintains code, writes documentation, and so on. In your example, a person who changes a car tyre would be a mechanic. Now, if you use AI to write the code and documentation for you, are you still a programmer? If you have no understanding of said code, are you a programmer? A person who does not know how to change a car tyre, is that still a mechanic?

No, you’re something else. You should not be hired as a programmer or a mechanic.

Yes, that is “skill evolution” – which is pretty much my point! But the AI framed it like a counter-argument. It didn’t understand my text.

(But what if that’s our future? What if all programming will look like that in some years? I claim: It’s not possible. If you don’t know how to program, then you don’t know how to read/understand code written by an AI. You are something else, but you’re not a programmer. It might be valid to be something else – but that wasn’t my point, my point was that you’re not a bloody programmer.)

Gemini’s calculator example is garbage, I think. Crunching numbers and doing mathematics (i.e., “complex problem-solving”) are two different things. Just because you now have a calculator, doesn’t mean it’ll free you up to do mathematical proofs or whatever.

What would have worked is this: Let’s say you’re an accountant and you sum up spendings. Without a calculator, this takes a lot of time and is error prone. But when you have one, you can work faster. But once again, there’s a little gaslight-y detail: A calculator is correct. Yes, it could have “bugs” (hello Intel FDIV), but its design actually properly calculates numbers. AI, on the other hand, does not understand a thing (our current AI, that is), it’s just a statistical model. So, this modified example (“accountant with a calculator”) would actually have to be phrased like this: Suppose there’s an accountant and you give her a magic box that spits out the correct result in, what, I don’t know, 70-90% of the time. The accountant couldn’t rely on this box now, could she? She’d either have to double-check everything or accept possibly wrong results. And that is how I feel like when I work with AI tools.

Gemini has no idea that its calculator example doesn’t make sense. It just spits out some generic “argument” that it picked up on some website.

3. The Technical and Legal Perspective (Scraping and Copyright)

The AI makes two points here. The first one, I might actually agree with (“bad bot behavior is not the fault of AI itself”).

The second point is, once again, gaslighting, because it is phrased/framed like a counter-argument. It implies that I said something which I didn’t. Like the AI, I said that you would have to adjust the copyright law! At the same time, the AI answer didn’t even question whether it’s okay to break the current law or not. It just said “lol yeah, change the laws”. (I wonder in what way the laws would have to be changed in the AI’s “opinion”, because some of these changes could kill some business opportunities – or the laws would have to have special AI clauses that only benefit the AI techbros. But I digress, that wasn’t part of Gemini’s answer.)

tl;dr

Except for one point, I don’t accept any of Gemini’s “criticism”. It didn’t pick up on lots of details, ignored arguments, and I can just instinctively tell that this thing does not understand anything it wrote (which is correct, it’s just a statistical model).

And it framed everything like a counter-argument, while actually repeating what I said. That’s gaslighting: When Alice says “the sky is blue” and Bob replies with “why do you say the sky is purple?!”

But it sure looks convincing, doesn’t it?

Never again

This took so much of my time. I won’t do this again. 😂

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In-reply-to » For the innocent bystanders (because I know that I won’t change @bender’s opinion):

And, one last missed:

  • AI is Forcing Legal Modernization: The copyright double standard is a failure of outdated law. AI provides the necessary impetus for legal reform to either create fair compensation frameworks for creators or establish a clear new definition of fair use for data-driven models.

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In-reply-to » For the innocent bystanders (because I know that I won’t change @bender’s opinion):

@movq@www.uninformativ.de Gemini liked your opinion very much. Here is how it countered:

1. The User Perspective (Untrustworthiness)

The criticism of AI as untrustworthy is a problem of misapplication, not capability.

  • AI as a Force Multiplier: AI should be treated as a high-speed drafting and brainstorming tool, not an authority. For experts, it offers an immense speed gain, shifting the work from slow manual creation to fast critical editing and verification.
  • The Rise of AI Literacy: Users must develop a new skill—AI literacy—to critically evaluate and verify AI’s probabilistic output. This skill, along with improving citation features in AI tools, mitigates the “gaslighting” effect.
2. The Moral/Political Perspective (Skill Erosion)

The fear of skill loss is based on a misunderstanding of how technology changes the nature of work; it’s skill evolution, not erosion.

  • Shifting Focus to High-Level Skills: Just as the calculator shifted focus from manual math to complex problem-solving, AI shifts the focus from writing boilerplate code to architectural design and prompt engineering. It handles repetitive tasks, freeing humans for creative and complex challenges.
  • Accessibility and Empowerment: AI serves as a powerful democratizing tool, offering personalized tutoring and automation to people who lack deep expertise. While dependency is a risk, this accessibility empowers a wider segment of the population previously limited by skill barriers.
3. The Technical and Legal Perspective (Scraping and Copyright)

The legal and technical flaws are issues of governance and ethical practice, not reasons to reject the core technology.

  • Need for Better Bot Governance: Destructive scraping is a failure of ethical web behavior and can be solved with better bot identification, rate limits, and protocols (like enhanced robots.txt). The solution is to demand digital citizenship from AI companies, not to stop AI development.

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In-reply-to » The bots have begun to access my website way more often. I’m getting about 120k hits on https://www.uninformativ.de/git/ now in a couple of hours.

“But all your stuff is MIT licensed! They are allowed to do that!”

Haha. As if they would care. They crawl everything they get their hands on.

Besides, that’s not true, the license states that the copyright notice must be retained. “AI” breaks that. They incorporate my code and my articles in their product and make it appear as if it was their work.

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OpenAI Calls on U.S. Government to Let It Freely Use Copyrighted Material for AI Training
OpenAI, known for its ChatGPT chatbot, today submitted AI recommendations to the Trump administration, calling for deregulation and policies that give AI companies free rein to train models on copyrighted material in order to compete with China on AI development.

![](https://images.macrumors.com/article-new/2025/02/open-ai-new-typefa 
 ⌘ Read more

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10 Exciting Things Entering the Public Domain in 2025
When a work enters the public domain, it’s like releasing an immortal animal into the wild after it has been caged for a hundred years. Now freed from copyright restrictions, the work can be studied, reinterpreted, and explored in ways that better reveal its true nature. Scholars, creators, and fans are granted new freedoms to [
]

The post [10 Exciting Things Entering the Public Domain in 2025](https://listverse.com/2025/01/03 
 ⌘ Read more

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In-reply-to » Fuck me OpenAI sucks ass. ChatGPT has to be the most stupidest fucking thing ever invented. It is so bad it's not even funny.

“Plez give me all the compute, money, and copyright allowance and i give you shitty autocomplete for fee!” - Tech Bro.

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In-reply-to » Fuck me OpenAI sucks ass. ChatGPT has to be the most stupidest fucking thing ever invented. It is so bad it's not even funny.

“Plez give me all the compute, money, and copyright allowance and i give you shitty autocomplete for fee!” - Tech Bro.

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Found this in an old copyright notice from 1993:

These images are not for use with the Microsoft Windows environment. Using these patterns in a Windows environment consitutes a copyright violation.

Someone clearly didn’t like Windows.

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Sam Whited: Thoughts on a New Software Commons
I use various legal and economic terms of art in this post, but I am neither a
lawyer or an economist.
They should be read in the way a layperson might read them, not as a serious
legal or economic analysis or advice.

The State of the Art

I’ve long held that software being open source1 is necessary, but not
sufficient.
Using copyright and contract law to enshrine the freedom to use your software
instead 
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Download Over 900 eBooks of Classics Free from StandardEbooks
If you’re interested in doing some reading of the classics, you may appreciate the Standard Ebooks project, which offers free high quality ebooks that are well-formatted, proofread, and professionally designed using style manuals. Standard Ebooks focuses on books that are in the public domain and without copyright restrictions, which is how they’re able to offer 
 [Read More](https://osxdaily.com/2023/12/21/dow 
 ⌘ Read more

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Download Over 900 eBooks of Classics Free from StandardEbooks
If you’re interested in doing some reading of the classics, you may appreciate the Standard Ebooks project, which offers free high quality ebooks that are well-formatted, proofread, and professionally designed using style manuals. Standard Ebooks focuses on books that are in the public domain and without copyright restrictions, which is how they’re able to offer 
 [Read More](https://osxdaily.com/2023/12/21/dow 
 ⌘ Read more

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RT by @mind_booster: Gostava de ouvir por exemplo um debate sobre as opçÔes do Governo em termos tecnológicos, e que se percebesse o fundamento político de contratar jå soluçÔes com o ChatGPT enquanto o CEO ameaça sair da Europa por não estar disposto a revelar se os dados do modelo são copyrighted.
Gostava de ouvir por exemplo um debate sobre as opçÔes do Governo em termos tecnolĂłgicos, e que se percebesse o fundamento polĂ­tico de contratar jĂĄ soluçÔes com o ChatGPT enquanto o CEO ameaça sair da Europa por nĂŁo 
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**RT by @mind_booster: Na đŸ‡«đŸ‡ź, o Parlamento rejeitou a proposta de transposição da diretiva do dto de autor, por nĂŁo assegurar o balanço necessĂĄrio com os dtos humanos, nomeadamente o dto Ă  educação e ciĂȘncia.

Em đŸ‡”đŸ‡č, este tipo de preocupaçÔes nem sequer foram consideradas.
Œ
https://libereurope.eu/article/the-fundamental-right-to-education-and-science-constitutional-law-v-copyright-law/**
Na đŸ‡«đŸ‡ź, o Parlamento rejeitou a proposta de transposição da diretiva do dto de autor, por nĂŁo assegurar o balanço necessĂĄrio 
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RT by @mind_booster: A @AssembleiaRepub aprovou hoje a autorização para o @govpt fazer sozinho a transposição da diretiva de direitos de autor.
A favor: PS, PSD, CH
Contra: IL, BE, PCP, Livre, PAN
DeclaraçÔes de voto: Emília Cerqueira (PSD) e Rodrigo Saraiva (IL)
#copyright #Artigo17 #Article17
1/3

A @AssembleiaRepub aprovou hoje a autorização para o @govpt fazer sozinho a transposição da direti 
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RT by @mind_booster: We join Portuguese civil society in a call to the country’s parliament to ensure that the transposition of the #Copyright Directive is subject to an open and transparent discussion. đŸ‡”đŸ‡č
We join Portuguese civil society in a call to the country’s parliament to ensure that the transposition of the #Copyright Directive is subject to an open and transparent discussion. đŸ‡”đŸ‡č ⌘ Read more

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RT by @mind_booster: Novidades acerca do famoso #artigo17 (o dos filtros de upload)
AmanhĂŁ, na Assembleia de RepĂșblica (AR), Ă© votada uma proposta de autorização legislativa em que a AR autoriza o Governo a legislar sozinho a transposição da directiva.
đŸ§”âŹ‡ïž
1/5
#copyright #Artigo17 href=”https://txt.sour.is/search?q=%23Article17
”>#Article17**
Novidades acerca do famoso #artigo17 (o dos filtros de upload)

AmanhĂŁ, na Assembleia de RepĂșblica (AR), Ă© votada uma proposta de autorização legislativa em que a AR autoriza o 
 ⌘ Read more

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**RT by @mind_booster: Save the date! Feb 13th.

Upcoming webinar: Flexible exceptions - the next step for Europe?

Focus:Open norms and civil law jurisdictions in Europe + a look at the experience of civil law countries in E Asia who have introduced them.

Chair @Senficon

đŸ‘‡đŸ»
https://www.knowledgerights21.org/news-story/upcoming-webinar-13-february-flexible-copyright-exceptions-the-next-step-for-europe/**
Save the date! Feb 13th.

Upcoming webinar: Flexible exceptions - the next step for Europe?

Focus:Ope 
 ⌘ Read more

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RT by @mind_booster: Ten Years Later, The EU Orphan Works Directive Is Officially A Failure – Just As The Copyright Industry Intended https://www.techdirt.com/2022/12/16/ten-years-later-the-eu-orphan-works-directive-is-officially-a-failure-just-as-the-copyright-industry-intended/
Ten Years Later, The EU Orphan Works Directive Is Officially A Failure – Just As The Copyright Industry Intended [techdirt.com/2022/12/16/ten-
](https://www.techdirt.com/2022/12/16/ten-years-later-the-eu-orphan-works-directive-is-offici 
 ⌘ Read more

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**RT by @mind_booster: HOJE! : Portugal, AR,
CULTURA, COMUNICAÇÃO, JUVENTUDE E DESPORTO

“Autoriza o Governo a legislar [..] sobre direitos de autor e conexos [
] , transpondo a Diretiva (UE) 2019/789”

https://www.parlamento.pt/sites/com/XVLeg/12CCCJD/Paginas/default.aspx

Sem participação pĂșblica?

#Copyright #CopyrightDirective #Portugal**
HOJE! : Portugal, AR,

CULTURA, COMUNICAÇÃO, JUVENTUDE E DESPORTO

“Autoriza o Governo a legislar [..] sobre direitos de autor e conexos [
] , transpondo a Diretiva (UE) 2019 
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L’intelligence artificielle à l’assaut du copyright
Pour celui qui se tient (mĂȘme vaguement) au courant des progrĂšs de l’informatique, il est Ă©vident que l’intelligence artificielle a beaucoup Ă©voluĂ© en 20 ans. L’actualitĂ© rĂ©cente montre qu’on est Ă  prĂ©sent bien loin des pathĂ©tiques essais de l’époque, qui permettaient pĂ©niblement d’obtenir de ces programmes un peu plus qu’une reconnaissance approximative des caractĂšres, des [
] ⌘ Read more

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RT by @mind_booster: Associação @Communia_EU atualiza recomendaçÔes para a próxima década #PublicDomain #Copyright https://paulasimoesblog.wordpress.com/2022/06/03/associacao-communia_eu-atualiza-recomendacoes-para-a-proxima-decada-publicdomain-copyright/
Associação @Communia_EU atualiza recomendaçÔes para a prĂłxima dĂ©cada #PublicDomain #Copyright [paulasimoesblog.wordpress 
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**RT by @mind_booster: Notas da Semana 16/05/2022
Metadados (ainda)
Pressão da CE sobre os Estados-Membros na transposição da directiva do copyright
RelatĂłrio da IFLA
Livros & Reviews

https://paulasimoesblog.wordpress.com/2022/05/20/notas-da-semana-16-05-2022/**
Notas da Semana 16/05/2022

Metadados (ainda)

Pressão da CE sobre os Estados-Membros na transposição da directiva do copyright

RelatĂłrio da IFLA

Livros & Reviews

[paulasimoesblog.wordpress.co
](https://paulasimoesblog.wordpress.com/2022/05/20/notas 
 ⌘ Read more

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Caro @govpt , e em particular @padaoesilva , agora que jĂĄ temos um “novo prazo” (e jĂĄ sĂł temos 2 meses), jĂĄ podemos ter aquela tal consulta pĂșblica Ă  proposta sobre a transposição da directiva do copyright, que o governo (e bem) considerou necessĂĄria?
Caro @govpt , e em particular @padaoesilva , agora que jĂĄ temos um “novo prazo” (e jĂĄ sĂł temos 2 meses), jĂĄ podemos ter aquela tal consulta pĂșblica Ă  prop 
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RT by @mind_booster: Fun conversation with @creativecommons about our All The Music project, #copyright building blocks, #music, #creativity, #melodies, @GeorgeHarrison, @katyperry, @ledzeppelin, @edsheeran, and how all musicians stand on the shoulders of prior musical giants.
https://anchor.fm/creativecommons/episodes/Damien-Riehl–Noah-Rubin-of-All-The-Music-e1i2d86

Fun conversation with @creativecommons about our All The Music project, [#copyright]( 
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RT by @mind_booster: Copyright is more often a bump in the road than a true enabler of creativity, leading to chilling effects - @glynmoody https://walledculture.org/ed-sheeran-wins-copyright-lawsuit-but-now-films-himself-as-he-writes-songs-to-forestall-more-litigation #copyright #creators href=”https://txt.sour.is/search?q=%23CopyrightAbsurdity”>#CopyrightAbsurdity**
Copyright is more often a bump in the road than a true enabler of creativity, leading to chilling effects - @glynmoody [walledculture.org/ed-sheeran
](http 
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Vague infringement allegations considered harmful
Ensuring that software copyright allegations are specific and actionable benefits the entire developer ecosystem. That’s why GitHub submitted a “friend of the court” brief in the SAS Institute, Inc. v. World Programming Ltd. case before a Federal Court of Appeals. ⌘ Read more

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Bad idea of the day: require a payment of a dollar (held in escrow by the copyright office) to send a DMCA takedown notice. The dollar goes to whoever is determined to be the legitimate owner, in case of a dispute. If there is no dispute, it goes into the federal education budget.

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rtdb.py: Extension for dtuple.py
This is specific to sqlite but could easily be adopted to work with other databases. # # rtdb.py: Extension for dtuple.py # # Written by Dennis T Kaplan . Public Domain. # No Copyright, no Rights Reserved, and no Warranties. class rtdb: def __init__(self, dbname, sql, one = True): self.one = one connection = sqlite3.connect(dbname) [
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