An Update On How I Use AI To Help With Techdirt (It’s Still Not Writing Articles)

from the oh-no-techdirt's-gone-slop dept

Over in our Insider Chat, someone recently pointed out a tiered “REAL Rating” five-tier scale designed to replace the fairly blunt and misleading question of “did you use AI on that?” with something a bit more nuanced. As someone who believes the discussion about AI could use a lot more nuance, I’m all for the premise. I ran my own usage through their wizard and came out with a “one” — the tier for automation. While this is technically accurate, it also tells you very little about how I actually use AI.

Which is why I thought it made sense to revisit the public discussion regarding my AI usage.

But going through that thought process reminded me that it’s been a little while since I last spoke about how I’m using these tools here, and given that some readers want more transparency, I thought I’d update you on the latest. I’ve written about it at length a few times before, starting in April of 2024, when I described how I used a tool called Lex to help me edit articles. The key was always that I’d write the articles myself, and then I had trained Lex on my own writing style to ask it how it might improve the article. Sometimes it would give good advice that would make me rewrite, and sometimes… it would give bad advice that I would skip or ignore. But all in all it was a useful forcing function.

In June of 2025, I wrote about how I had built a personal task management tool, using a vibe coding tool called Lovable, which I was using to keep track of various tasks, including what I wanted to write about each day. At the beginning of this year, mostly out of curiosity, I explored whether or not you could, with a ton of scaffolding and detailed instructions and effort, get AI tools to write a passable Techdirt article, and concluded no, you absolutely could not. Every attempt was still a weak facsimile of a Techdirt article with iffy language and clichéd phrases.

In the time since then I’ve run that test for myself a few times, and even as the models have improved, in my experience, my initial analysis stands. It cannot write Techdirt-style articles well, and even if I wanted to use it that way, the rewriting, changing, and fact-checking would take way more time than just… writing it myself. So, yes, I continue to write my own articles.

What’s changed in the last couple of years is that I’ve moved away from Lex (which has not received many updates in the past year or so as the team behind it appears to have moved on to other projects), and I ended up building my own editing tool, which is built directly into the task management tool I mentioned last year (which is now self-hosted and entirely within my control). The benefit now is that I can turn any task immediately into a writing project with a single click:

Screenshot showing a checkbox for "Writing project" ticked off, saying "open a writing workspace to draft and edit your article."

That was the task that turned into this article about Judge Andrew Oldham’s bizarrely out of context quote on mail-in ballots. From there I can go into the writing project which has a bunch of useful features. Within each writing project I can add sources, which turn out to be really useful during edits. I can upload PDFs, URLs, or just add text myself (and actually, as I was finishing up this article, I had it build a new feature that will automatically add all the sources I link to in a story, so the editor checks them even if I don’t add them manually, which is another example of realizing a potentially useful feature and having it created on the spot). I can also have the tool go out and research if there are other sources I should add, though I haven’t yet found that to be that useful as compared to just searching myself.

Screenshot showing "sources" tab, showing an uploaded PDF which is "Oldham's ruling" to go with the story I'm writing about Judge Oldham's bonkers opinion.

The tool is specifically trained on my writing, and has a detailed style guide regarding my voice and style, as well as a detailed system prompt of what I am looking for in editorial help vs. what I’m not looking for (e.g., yes, challenge my assumptions and facts, but no do not think you need to rewrite what I’ve written).

After I’ve written the full piece, there’s a button to open up the “AI review” tool (which lets me use any underlying LLM engine I choose, including local ones), which will give me a critical review and make general suggestions about what works and what doesn’t. I do switch up models from time to time to see how they work, but generally will default to either Claude Opus 5 or Sonnet 5. I am also using Gemma 4 locally and am increasingly trying to use that. It’s good on straightforward pieces, but less so once the argument gets more complicated. I’m hopeful that the next generation of local models will be more reliable.

For example here’s part of the initial review of my first draft on the Oldham ruling:

Feedback from the tool:

General feedback

The core reporting move here — going back to Veasey, pulling the full passage, and showing that the sentence Oldham truncates was actually part of an argument *against* voter suppression — is the strongest thing in the piece and it lands. But it takes four paragraphs to get there. Consider tightening the setup (the Oldham bio and the 'we can debate' hedge) so the reader hits the blockquote comparison faster.
The title promises 'judicial telephone,' but the Ho half of that telephone game doesn't show up until the last quarter and gets only two sentences. Either bring Ho in earlier (e.g., establish up front that this is a line being passed around the Fifth Circuit, not a one-judge error) or expand the Ho section with the actual quoted passage from his ruling so readers can see the identical truncation. Right now the payoff for the framing device is thinner than the framing device.
The empirical rebuttal paragraph is the weakest link in an otherwise well-evidenced piece. You link the AMSTAT study but summarize it as 'no noticeable increase in fraud.' This is exactly the place for the quantitative illustration you do so well elsewhere — actual numbers from states that went vote-by-mail, or the raw count of documented mail-ballot fraud cases against the total ballots cast. A hard number here would make the contrast with 'jeopardizes election integrity and democracy itself' devastating rather than merely asserted.
The 'so what?' for actual people is missing. Nine provisions of S.B. 1 were just reinstated, and the plaintiffs included blind and disabled voters whose ballots were rejected — Iglesias, Saltzman, Guerrero-Mata are all named in the opinion. A sentence or two on what the ruling means for those voters (and the standing reasoning that says 'you got rejected once but you've learned better now, so no injury') would ground the abstract complaint about misquotation in real consequences.

The only specific line edits tend to be suggestions on typos or confusing sections, such as here where it suggested a way to clean up and tighten a poorly drafted sentence in my initial draft:

Screenshot showing a suggested of an edit to tighten the sentence, noting that "nonsense appears twice in one sentence which blunts both uses. Tightening also gets the reader to the actual subject - the opening lines of the opinion - a beat faster."

You can also see that “Discuss” button in there, which I will frequently use to debate or discuss certain suggested edits if I think the suggestions miss the mark or are unnecessary. Or I’ll just reject them if I totally disagree.

Usually at that point I’ll do a more thorough rewrite based on my own reread of the article with an eye towards what it called out as problematic. For what it’s worth, this is where the inclusion of original sources is often quite helpful, because the AI will press me on things if its review felt that I’m not being completely fair and honest regarding the source material. Sometimes it calls me out for missing stuff and suggest I dig deeper (it’s not always correct, but often is, and pushes me to reread things even more carefully). Here’s one example, where the AI editor tool told me to go back and review the original documents more closely:

Ho's parenthetical is a bigger scandal than you've noticed
Look at what you quoted and then walked past:

aff'd in relevant part, 830 F.3d 216, 256 (5th Cir. 2016) (en banc) (crediting district court finding that "mail-in ballot fraud is a significant threat")

Oldham truncates a district court sentence. Ho does that and tacks on a parenthetical asserting that the en banc Fifth Circuit blessed a finding that mail-in ballot fraud "is a significant threat." That's a second, worse layer: it launders the claim from "a trial judge said something in passing" up to "an appellate court, sitting en banc, affirmed it." Your whole method is here's the text, here's what the text actually said — so go read 830 F.3d at 256 and say whether the en banc court actually credited any such finding, or whether that parenthetical is Ho's own gloss. If it's the latter, that's your best paragraph and it's currently sitting unwritten inside a blockquote you already have. Either way it needs a sentence, because right now you print Ho's parenthetical and then say only that he "used that same truncated line" — you've shown the reader more than you've told them.

It also catches me when I start rambling, which often happens on a first draft when I’m trying to figure out the best way to nail down a certain point:

The middle repeats itself four times
These four consecutive paragraphs all make the same point:

"So, yes, the lower court said 'mail-in ballots are not secure' but it was very clearly in the context of…"
"Read in context, Judge Nelva Gonzales Ramos's original ruling was doing the opposite…"
"Oldham is using it to support voter disenfranchisement by pushing a disproven claim…"
"The argument being made in the original ruling was not that mail-in ballots were inherently prone to fraud…"
By the third one the reader has it. Cut to two: keep the "So, yes, the lower court said…" paragraph (it does the contextual work), then keep the Gonzales Ramos inversion paragraph (it names the judge and states the reversal cleanly), and delete the other two. You lose nothing but repetition, and the argument hits harder for arriving once at full strength.

Again, I don’t always follow its suggestions, but it does make me revisit and look at rewriting sections to make them clearer and tighter.

Separately, I have a built in set of “sub-agents” that will check certain things, including suggesting better headlines (this is very hit or miss, but usually at least helps me think of something better than either my initial attempt or its suggestions) and one sub-agent whose whole job is to poke holes in the arguments in the piece (this one is fun, but annoying, as it’s basically trolling myself, but in a way that helps me make the arguments stronger):

Counterpoint
unsupported claim
"Judge Oldham (and his colleague, Judge James Ho) are willing to totally misrepresent things for partisan gain" / "Oldham and Ho, for the sake of partisan gamesmanship, need the claim that mail-in ballots are fraud-prone to be true"
The piece establishes that the citations are misleading and out of context, but 'for partisan gain' / 'partisan gamesmanship' asserts intent and motive, not just effect. Misleading citation chains can also result from sloppy law-clerk drafting, confirmation bias, or reflexive reliance on a prior court's phrasing without rereading the source — none of which requires conscious bad faith. The draft doesn't offer evidence (e.g., a pattern of similar moves by these judges in unrelated cases, other quotes revealing motive) that rises above 'the result serves a partisan outcome.' Suggestion: Either back the intent claim with a broader pattern (the piece gestures at one — Oldham's content-moderation ruling — but doesn't tie it to a citation-misuse pattern specifically) or soften to something like 'whether through motivated reasoning or convenient citation-copying, the effect is the same,' which is still damning but doesn't require proving what's in the judges' heads.

You may notice that the features I appreciate the most here are the ones that in some sense make my life harder, by telling me to work harder, check my sources, and question my arguments. Considering how often we hear about the problem with these tools being how much smoke they blow up the asses of users, it’s certainly possible to set them up to deliberately challenge and provoke you. The parts I find most useful are the parts built to disagree, because it helps make my work stronger by stress testing it before it goes out in the world.

Anyway, once the piece is then written and edited, it’s a two-click process to import the final version into Techdirt’s WordPress system and hand it off to someone else on the team for a human review before it goes into the queue to get posted.

Compared to how I described the process two years ago, the actual writing process hasn’t changed — which is kind of the whole point. The human part (the thing that is central to what I do) doesn’t get automated away. What’s changed is the structure around it. I have total control over the tool now, it’s better trained and designed to help me write better.

There are a few other more experimental features, including one where after I’ve added all my sources to the writing project, I’ll also write a short paragraph (or two or three) about my focus on the article, and the system will ask me some questions based on the sources and how I want to frame the article. This is sometimes useful in testing some of my assumptions before diving into the writing. This has been most helpful when I’m a bit undecided on what the central backbone of a piece really should be. In the past I would just start writing, realize I went down the wrong path, and then start again. Using the “editorial interview” feature has helped me a few times to think deeper about which way I want to take the article before I get to the actual writing.

I also built in a tool to also write a potential outline of the article based on that “interview,” but I’ve only tried to use that a couple times, and neither time did I follow the outline, so I’ll likely just get rid of that feature. Once again, the benefit of having total control over the tool. For all the (reasonable! understandable!) complaints of big tech companies “shoving AI into everything,” with this tool, I decide what goes where, and if something doesn’t work, I can just remove it.

I’ve also built in a bunch of other features that are simply useful for organizing my day and focus. The same tool creates a morning and afternoon briefing based on my tasks, my email, my calendar, and a growing knowledge base about me and my work. It also texts me news stories it finds that might be interesting for Techdirt (based on search criteria I have provided), which I can turn into tasks/writing projects with one response. Just last week I received my Pebble Index 01 ring that I had mentioned last year, and one of the first things I did with it is hack it so that I can speak into it to create tasks. It can also research things and leave the notes in the task tool (and text me back quick facts if I need them).

In short, as I’ve suggested repeatedly, the power of AI tools is in empowering individuals to be able to accomplish what they want to do, rather than replacing humans or doing the fundamental work. Building very personalized tools that I can constantly update and tweak to meet my needs has made me less and less interested in using software that other people built for me. It’s shockingly empowering to look at a feature that doesn’t quite work the way you want, and to be able to just tell your tools “hey, make this work differently” and have it work properly.

As I mentioned up top, using the wizard on that REAL Ratings site, I came out with a score of “one,” noting that I used AI for automation. You could argue that it maybe should be somewhere between one and two, depending on how much you consider the “brainstorming” part of what the editor feature is doing. But I’d argue this is a long way from the assumption many have of “if you use AI you’re using it for slop.”

Either way, I’m still not writing articles with these tools, and I don’t plan to start. The assumption that any use of AI means you’ve handed your brain over to it misses the part I actually find interesting: building your own tools, on your own terms, and telling them what to do rather than the other way around.

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Comments on “An Update On How I Use AI To Help With Techdirt (It’s Still Not Writing Articles)”

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43 Comments
Stephen T. Stone (profile) says:

The problem with leaning on LLMs/“AI”/whatever term the HOA-level nitpickers demand I use is that the tech smooths out all the rough edges of your writing. “How is that a problem,” you might ask. Because sure, editing some sections for better understanding and such sounds like a fine idea. But it also robs you of the voice that is uniquely yours. It subtly pushes you towards a version of your writing that’s missing all the different little flourishes and tics that make your writing yours instead of what a machine mind tells you is “better”.

The cartoon Home Movies had an episode with a joke where Brendan and his friends ended all their movies with the same line (“it’s time to pay the price”). At the end of the episode, when they try to end a movie with some other line despite that line being perfect for the ending, they stammer and stutter and can’t come up with anything. What does that have to do with your use of “AI”? Simple: Once you see all the little tics and repeated words/phrases pointed out to you, you’ll try to avoid them more often⁠—but in doing so, you’ll end up either running out of things to say or struggling to come up with something that isn’t one of those tics. Your writing will lose its signature and start to sound like everyone else’s.

I do appreciate that you don’t depend on “AI” tools for your writing. But leaning on them even a little is…well, even with all the ethical issues aside, it’s a way to offload your thinking to something that doesn’t actually think. That’s a pretty dangerous road to start going down, no matter how slow you walk.

Doug Wheeler (profile) says:

Re: I don't think this has anything to do with AI

What you describe doesn’t seem to have anything to do with using AI, rather it’s just a side-effect of using an editor. This same effect occurs using a human editor. Many publications end up with a somewhat homogenized “tone” across multiple writers due to editing and feedback within the same group of individuals.

Stephen T. Stone (profile) says:

Re: Re:

It’s not so much the editing process that’s the problem, so much as it is what the editing process ultimately strips away. That holds especially true when the “editor” is an LLM designed primarily to lean toward generic speech, because the LLM only “understands” averages and predicts what works “best” to achieve a “mean” result.

I use em-dashes. A lot. (Have been for years, even before AI writing exploded as a thing.) An LLM these days might tell me to use fewer em-dashes or fewer asides because (A) it’s tighter writing and/or (B) it would help dispel the notion that I write using AI. But by giving up the em-dash for the sake of avoiding AI accusations, all I’d be doing is killing a little piece of myself that is part of my style. Hell, I’ll even let you in on a bit of a secret about how I think in regards to my writing comments here: With the longer ones (like this one), as I go back to proofreed, I tend to read them back in my head like I’m doing a wrestling promo. It’s why I often try to end on a strong sentence⁠—I treat that bit like a mic drop moment.

(And since I’m pointing out my dumb bullshit: That “hell” a couple of sentences back, and other similar such one-word exclamatory sentence-starters, are another thing I do often that an LLM would probably tell me to cut in the interests of “better writing”.)

I get that an editor will ultimately aim for helping a writer achieve clarity in their writing. But LLM “editors” aren’t people; they’re not sensitive to writing styles and the actual feelings of actual people. They aim for the middle and try to push people there. In so doing, they make writing that much more generic and unexciting. I’d gladly take a few spelling or grammatical errors in some unique writing over “correct”-but-boring AI-influenced slop every day of the week.

impurify (profile) says:

Re: Re: Re: I so love em dashes, I’ve got one—on—my—Xorg—keyboard—layout.

An LLM these days might tell me to use fewer em-dashes or fewer asides because (A) it’s tighter writing

A “good” writer obeys such rules. A great writer knows when and how to break them.

Kids who grow up dependent on this shit will never explore the artistic—or sometimes ironical—or even self-referentially, recursively ironical effect that one can attain (or, I ought say as I’m here unsure of hitting my mark, to which one may aspire) when one dares disobey mind-numbing stylistic “rules”.

—Whoopsie. Did I just do something that an LLM cannot fucking do because it’s a dumb text-extruder?

and/or (B) it would help dispel the notion that I write using AI.

LOL. It’s such a very self-aware cheating tool, it instructs you on how not to get caught with it. (To be clear, that’s multiply-layered sarcasm; I am not suggesting that the LLM is actually intelligent or self-aware!)

But by giving up the em-dash for the sake of avoiding AI accusations, all I’d be doing is killing a little piece of myself that is part of my style.

I’m sometimes shockingly naïve. Since I am not on social media, I am so oft not attuned to current trends.

Do you suppose that the reason why very few people have replied to my comments is an assumption that I’m copypasting LLM output? Am I being paranoid? The thought first occurred to me when I was writing my first comment on this page. It is distinctly horrifying.

Thereto, I’d assumed that I was being TL;DRed—which I should expect on a Net brain-damaged by Twitter and by smartphones with tiny screens—or folks just didn’t like me—which would be fine, on grounds that not everyone in the world needs to like me.

As for you, holy hell. Never change your human writing style to conform to machine-biased denials of your humanity! When a human is so dehumanized, we are living in a cliché sci-fi dystopia at the plot point right before the humans rise up to smash the machines.

Of course, what I just said shows that humans are in a double-bind. It is necessary to out frauds who pass off LLM output as their own writing—and preferably, if possible, to electrocute them. I don’t know what to do.

And so it came to pass that as humans felt a need to avoid natural writing that was thought to smell LLMish, the humans homogenized their own writing into generic slop of what was thought to be “humanlike”—upon which the LLMs did then train…

impurify (profile) says:

Re: On Writing and Reading

Well said. Albeit not always practicable, it’s preferable to offer a constructive solution when critiquing a problem; thus, I will offer to all and sundry some unsolicited advice about writing.

The best way to improve your own writing is twofold: (a) Read long-form prose by authors of great eloquence, and (b) avoid reading and writing Twitter-tier “txt speak” garbage.

[Depending on “AI” tools is] a way to offload your thinking to something that doesn’t actually think. That’s a pretty dangerous road to start going down, no matter how slow you walk.

Whereas reading quality text exercises your mind, and it thus helps you to be the best writer you can be. Beyond that, habitually reading and writing trains your inner monologue into an inner dialogue. The process of writing then becomes a medium for exploring, organizing, and developing your own thoughts; you thus discover new ideas that never occurred to you before you wrote them down. I need not remark that an LLM can’t do that for you.

For my part, I have never used an LLM writing tool of any kind whatsoever. The only automated writing tool that I use is spell-check to assist reading proof—just as I’ve done since my childhood word processor experiences. Incidentally, I have never taken a writing class in my life.

I read. I read quality prose. I love to read. When I write, this is an example of a comment that I dashed off today while I had a splitting headache. I did substantially edit the first draft, and I read proof; I spent much more time editing than I did on initial writing. In the process, I refined my ideas such that I understood my own thinking better than when I started.

I’ll let my prose tell the reader whether or not I’m a competent writer…

…and I’ll try to keep such things to myself, to avoid being plagiarized by LLMs. It is not about money, which I’m not being paid. It is not about copyright; in principle, at least, I yearn to abolish copyright laws! I do not consent to be used to train mass-plagiarism machines.

Moreover, I’m deeply disturbed to realize that if I don’t disclaim using an LLM, people will probably assume that I do. Worst of all, some may not even believe my claim to write all by myself. So-called “artificial intelligence” has turned the Web into a classroom where everyone who’s not a drooling idiot is assumed, or even conclusively presumed to cheat.

The predictable outcome is the ultimate reduction of society to the lowest common denominator, the final commodification of art, the death of the intellect, and the end of human discourse as a meeting of human minds.

Arianity (profile) says:

I am also using Gemma 4 locally and am increasingly trying to use that. It’s good on straightforward pieces, but less so once the argument gets more complicated. I’m hopeful that the next generation of local models will be more reliable.

What do you run the local stuff on? Mostly curious if you need something like a DGX Spark/Mac Mini for the ram for larger models, or what GPU to keep the output snappy.

Would love to see more stuff on local models, despite all the problems I have with the industry, that is one aspect that is kind of exciting

Drew Wilson (user link) says:

I ended up ditching AI altogether. Having to go through several paid products or at least one paid product to train an LLM on writing styles and my own creative twist thrown in and spending hours babysitting AI to try and come to a conclusion that could have easily happened by me just writing an article and being done with it was simply not worth it. It was certainly an experiment, but the insane complexity of trying to wrestle AI into submission to do something half decent just removed me from the equation altogether. Much happier just loading up the back end, writing out the article with raw by-hand HTML, doing the usual research to bolster the points I’m making, and publishing. I think my money is better spent hiring a human if I ever get to that point.

TKnarr (profile) says:

I know several software engineers on Mastodon who’ve found this same thing: the big LLMs are useless, but if you build a small model trained on your own code and documentation it can produce usable results. By small I mean something you can train and run on a single Threadripper box. That makes sense, an LLM produces the most likely next text based on it’s training data and if it was trained on your code it’s going to produce the kind of code you’d produce rather than what the average coder on the Internet would produce.

Anonymous Coward says:

I’ve found them quite helpful for improving my writing as a sort of beta reader, but I only ask for criticism and tell it not to give me examples or specific suggestions. This way my voice doesn’t get fucked with at all but I still get good feedback on what needs attention. I think I would find your workflow much too intrusive, and I do think it has altered your voice somewhat.

Nemo_bis (profile) says:

Transparency

Thanks for this, I do appreciate the transparency. I wish more writers followed your example here, even though we can’t expect most of them to be as tech-savvy as you in building custom tooling.

I think it’s also a good example of LLMs being especially useful for everything but prose generation, something I also believe about the use of LLMs for Wikimedia projects.

Anonymous Coward says:

This is very disappointing

Unlike most readers of this site, I’ve actually studied AI (and related technologies) and I had the singular privilege of doing so under some of the people who wrote textbooks on the subject(s). So — also unlike most readers of this site — I understand how it works…or doesn’t. With that in mind:

  1. What’s being pushed as AI by OpenAI/Anthropic/et.al. isn’t AI. It’s sloppy, careless, haphazard junk that would have earned a D grade (if lucky) from my instructors.
  2. It’s also incredibly destructive: to the environment, to neighborhoods, to the electric grid, to the Internet, to the economy, to human society and culture, and to rare books. Those considerations alone are enough to render its use clearly unprofessional and clearly unethical.
  3. Nobody needs AI to write. Nobody should be using AI to write. What people need to write is intelligence, diligence, education, and persistence: what they need is to learn. And anybody that’s too lazy to learn is disposable: it would be better that you never write here again than persist in foisting off AI-leveraged crap on readers, who have every right to expect that what they’re reading is authentic. What you’re doing now is fraud. It’s a lie. It’s a cheap con. It’s disappointing. It’s disgusting.

This comment has been flagged by the community. Click here to show it.

Anonymous Coward says:

Why do you have a button just for arguing with the computer?

Choosing to draft your work with this process is of course your own prerogative, but I find it difficult to understand what benefit lies in posing questions to something which does not actually understand any points you make. Sure, you get a conversation-shaped exchange for what that’s worth (rubber-duck programming comes to mind), but how can you truly grow and advance your craft when this dialogue is shackled to the realm of text? A human editor (in ideal circumstances) is a colleague, not just someone who looks at a document and makes suggestions…

Tim says:

The point of writing is to write

Not to get someone to write for you!

I can write but do not really edit. Also the words that I write down are not the ones I am thinking of, I have been shocked when I go back later. Stupid copilot trying to suggest words when I type them!

Actually writing stuff down on paper has been my most successful writing exercise to date. 2000 words in 2 hours, took 6hrs to type up!

dirtside (profile) says:

Who cares what you use it for?

The first question we should be asking is, “Is the LLM you’re using ethical to use?” Since it’s Claude, the answer is: No, absolutely not. Those tools were built on mass copyright infringement, and are explicitly intended by their creators to further concentrate power into an unaccountable fascist technical elite class. “The purpose of an LLM is to give wealth access to skill without giving skill access to wealth.”

As a judge might say, we don’t even need to reach the question of whether the way you use the tool is effective or not, or what negative effects it might have: Using the tool itself is already so hilariously unethical that the actual task at hand is irrelevant.

impurify (profile) says:

Re: “AI” has corrupted free culture.

Well said, except that copyright is not the issue. I’m anticopyright in principle. I used to recommend Anna’s Archive to people, before they became “AI” cheerleaders selling special access to the trainers of mass-plagiarism machines.

People who are pro-copyright are obviously against the “AI” industry. People who are anti-copyright should also be—but as I said in another comment that’s not yet showing up, “AI” is like Trump: It corrupts all what it touches.

I’m against LLM training on public domain books, which have no copyright. How about you? I’m against copyright licensing deals with LLM trainers, and I would never agree to one no matter what money I was offered. You?

It’s idealistic to free culture from the corporate copyright industry, to give unlimited access to books to underprivileged humans, and to encourage humans to read. It’s disgusting to support cheating tools that not only strip-mine culture for the purpose of polluting the world with slop, but also poison the well of human discourse with the assumptions that everything is fake, everyone who’s too smart must be cheating, and maybe cheating is okay because everyone does it.

“AI” is the first technology ever deployed to connect exploitation to pollution, with nothing in between and nothing beyond. LLMs are created by ridiculously evil companies who corrupt the financial markets so they can buy up all the world’s computational capacity and spend unlimited energy, in a quest to arrogate to themselves unlimited power. Regardless of copyright, I agree that Claude is created by unethical people by unethical means to unethical ends, and it’s thus unethical to use.

impurify (profile) says:

Re: Mass-Plagiarism of Free and Open-Source Software

You express a concern about “copyright infringement”. What is your position on the “AI” strip-mining of free and open-source software?

The author of that piece is a scary-smart, ingeniously creative programmer—who has worked on “AI”, who contributes to open-source “AI”. She’s horrified to discover that LLMs trained on code she’s licensed as open-source do not give her any credit. All she wants is credit for her work!

Boldface is mine:

Over my career I’ve written and attached my name to thousands of public source code files. I know they are being scraped from the web and used to train AIs. But if I ask something like Claude, “what sort of code has Justine Tunney wrote?” it hasn’t got the faintest idea. […]

Is this the future we want? Imagine if Isaac Newton’s name was erased, but the calculus textbooks remained. If we dehumanize knowledge in this manner, then we risk breaking one of the fundamental pillars that’s enabled science and technology to work in our society these last 500 years. I’ve yet to meet a scientist, aside from maybe Satoshi Nakamoto, who prefers to publish papers anonymously. I’m not sure if I would have gotten into coding when I was a child if I couldn’t have role models like Linus Torvalds to respect. He helped me get where I am today, breathing vibrant life into the digital form of a new kind of child. So if these AIs like Claude are learning from my code, then what I want is for Claude to know and remember that I helped it. This is actually required by the ISC license.

Well, good luck enforcing your copyright license against the mass-plagiarism of your work that you benevolently gave to the world as a gift. I say that what the LLMs are doing is wrong even with PD/Unlicense/CC-0 code. As I remarked last week, the complete works of Shakespeare are in the public domain; that doesn’t make Shakespeare fair game for plagiary.

I’m not nearly as talented a programmer as Justine is—but I’m good enough to understand and to appreciate Cosmopolitan, which is arguably the most brilliant low-level portability hack ever invented. For my part, as I remarked in another thread here last week, the existence of “AI” deters me from contributing to open-source software.

impurify (profile) says:

“AI” : Technology :: Trump : Politics

A confession of a dirty secret: I agree with some of the positions that Donald Trump purports to hold. It’s unsurprising. I’m an avowed independent, off the left-right spectrum—and as for Trump, as the saying goes, even a stopped clock is right twice a day.

I don’t support Trump on the issues where he allegedly agrees with me. That’s not mere partisanship, but to the contrary: I am protecting my pet issues.

Trump is the corruptor. All what Trump touches turns to shit. Trump first corrupts, then discredits.

If I have spent the past thirty years futilely advocating Foobarian Quxification, and Trump suddenly throws his power behind a policy of “Foobarian Quxification”, I feel sick to my stomach. I know that my beloved Quxification project is toast. Trump will somehow twist Foobarian Quxification into a way to hurt people while enriching himself and his cronies, most likely without even delivering any of its actual benefits. It’s just what he does—and he always does this. And as a second-order result, Foobarian Quxification will be tarred with such infamy that reasonable people will treat me as batshit crazy for even mentioning it.

If I believed in God, I would pray for Him to change Donald Trump’s heart to disagree with me about everything.

I am not a domain expert on “AI”—far from it. But I’m enough of a technophile that years before ChatGPT, I was basically aware of generative networks and evolutionary algorithms and other ML goodies. It seemed so exciting!

Reviewing the discussion on this page, revising my opinions, I now feel for “AI” such a hatred that I know how Dr. Kaczynski must have felt when he sent his mailbombs.

“AI” is the Donald Trump of technology. It corrupts all what it touches. It is poison for human society. It turns good things bad, and bad things worse. I’m now ashamed that I used to say that some of the various technologies in the “AI” grab-bag were really cool—and I know that if I’m still a sort of closeted admirer of some of those technologies, I’d better work overtime to burn “AI” to the ground and salt the ashes.

I most certainly will not write essays on why Trump is allegedly useful for a few good things. Nor will I minimize, nor downplay, nor equivocate about Trump’s badness on similar grounds. Indeed, by doing the latter, some intelligent authors have diminished, or even altogether discredited themselves in my eyes. It’s particularly been a problem with libertarians—including at least one person whom I’d admired for many years, whom I’ve seen associate in the past on an issue I care about (Internet free speech) with Mike Masnick.

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