281–290 of 464 posts
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Adapting implies you are still a part of the environment though. AI is on a trajectory to replace you and take you out of the environment.
AI is on a trajectory to replace people who do not effectively use AI with people that do
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For those who might wonder how accurate this is, there is advice from the Federal Register to this effect. [0] Its quite comprehensive, and covers pretty much every question that might be asked about "What about...?" > In these cases, copyright will only protect the human-authored aspects of the work, which are “independent of” and do “not affect” the copyright status of the AI-generated material itself. [0] https://…
I cannot take seriously any politician or layer using the words "artificial intelligence", especially to models from 2023. These people have never used LLMs to write code. They'd know even current models need constant babysitting or they produce unmaintainable mess, calling anything from 2023 AI is a joke. As the AI proponents keep saying, you have to try the latest model, so anything 2 years old is irrelevant. There…
Look, if you think I am wrong, you can surely put it into words. OTOH, if you don't think I am wrong but feel that way, then it explains why I see no coherent criticism of my statements.
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I cannot take seriously any politician or layer using the words "artificial intelligence", especially to models from 2023. These people have never used LLMs to write code. They'd know even current models need constant babysitting or they produce unmaintainable mess, calling anything from 2023 AI is a joke. As the AI proponents keep saying, you have to try the latest model, so anything 2 years old is irrelevant. There…
If monkeys can't hold copyright, which is an actual case discussed above, then no, an LLM probably can't either. "Human" is required.
Ultimately LLMs (the first L stands for large and for a good reason) are only possible to create by taking unimaginable amounts of work performed by humans who have not consented to their work being used that way, most of whom require at least being credited in derivative works and many of whom have further conditions.
Now, consent in law is a fairly new concept and for now only applied to sexual matters but I think it should apply to every human interaction. Consent can only be established when it's informed and between parties with similar bargaining power (that's one reason relationships with large age gaps are looked down upon) and can be revoked at any time. None of the authors knew this kind of mass scraping and compression would be possible, it makes sense they should reevaluate whether they want their work used that way.
There are 3 levels to this argument:
1) The letter of the law - if you understand how LLMs work, it's hard to see them as anything more than mechanical transformers of existing work so the letter should be sufficient.
2) The intent of the law - it's clear it was meant to protect human authors from exploitation by those who are in positions where they can take existing work and benefit from it without compensating the authors.
3) The ethics and morality of the matter - here it's blatantly obvious that using somebody's work against their wishes and without compensating them is wrong.
In an ideal world, these 3 levels would be identical but they're not. That means we should strive to make laws (in both intent and letter) more fair and just by changing them.
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Meanwhile I expect that intellectual property protections for software are completely unenforceable and effectively useless now. If something does not exist as MIT, an LLM will create it. The playing field is level now, and corpo moats no longer exist. I happily take that trade.
Generating software still token costs, generating something like ms-word will still cost a significant amount, takes a lot of human effort to prompt and validate. Having a proven solution still has value.
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You only need to feed the docs and tests to an LLM to get a "clean room" re-implementation that can then be relicensed.
That wasn't tested legally.
These sorts of things are almost never tested legally and it seems even less likely now.
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Have you ever seen what obfuscation looks like when somebody puts the effort in? Not to mention companies will try to mandate hardware decryption keys so the binary is encrypted and your AI never even gets to analyze the code which actually runs. It's not sci-fi, it's a natural extension of DRM.
Companies have been encrypting code to HSMs for decades. Never stopped humans from reverse engineering so it certainly will not stop AI aided by humans able to connect a Bus Pirate on the right board traces. Anything that executes on the CPU can be dumped with enough effort, and once dumped it can be decompiled.
1) The financial aspect: As you say, more and more advanced DRM requires more and more advanced tools. Even assuming advanced AI can guide any human to do the physical part, that still means you have to pay for the hardware. And the hardware has to be available (companies have been known to harass people into giving up perfectly moral and legal projects).
2) The legal aspect: Possession of burglary tools is illegal in some places. How about possession of hacking tools? Right now it's not a priority for company lobbying, what about when that's the only way to decompile? Even today, reverse engineering is a legal minefield. Did you know in some countries you can technically legally reverse engineer but under some conditions such as having disabilities necessitating it and only using the result for personal use?[0]
3) The TOS aspect: What makes you think AI will help you? If the company owning the AI says so, you're on your own.
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You need to understand 2 things:
- Just because something is possible doesn't mean somebody is gonna do it. Effort, cost and risk play huge roles. And that assumes no active hostile interference.
- History is a constant struggle between groups with various goals and incentives. Some people just want to live a happy life, have fun and build things in their free time. Other people want to become billionaires, dream about private islands, desire to control other people's lives and so on. People are good at what they focus on. There's perhaps more of the first group but the second group is really good at using their money and connections to create more money and connections which they in turn use to progress towards their primary objectives, usually at the expense of other people. People died[1] over their right to unionize. This can happen again.
Somebody might believe historical people were dumb or uncivilized and it can't happen today because we've advanced so much. That's bullshit. People have had largely the same wetware for hundreds of thousands of years. The tools have evolved but their users have not.
[0]: https://pluralistic.net/2026/03/16/whittle-a-webserver/ - "... aren't tools exemptions, they're use exemptions ... You have that right. Your mechanic does not have that right."
[1]: https://en.wikipedia.org/wiki/Pinkerton_(detective_agency)
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So? Why should it be legal? If people find this cool and wanna play with it, they can, just make sure to only mix compatible licenses in the training data and license the output appropriately. Well, the attribution issue is still there, so maybe they can restrict themselves to public domain stuff. If LLMs are so capable, it shouldn't limit the quality of their output too much. Now for the real issue: what do you thin…
The best answer to those issues is still Basic Income.
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If monkeys can't hold copyright, which is an actual case discussed above, then no, an LLM probably can't either. "Human" is required.
Yeah, an LLM, being a machine obviously shouldn't hold copyright. But that doesn't stop people claiming that running vast amounts of code through an LLM can strip copyright from it. Ultimately LLMs (the first L stands for large and for a good reason) are only possible to create by taking unimaginable amounts of work performed by humans who have not consented to their work being used that way, most of whom require at…
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So tomorrow, if a model genuinely find a bunch of real vulnerabilities, you just would ignore them? that makes no sense.
An LLM finding problems in code is not the same at all as someone using it to contribute code they couldn't write or haven't written themselves to a project. A report stating "There is a bug/security issue here" is not itself something I have to maintain, it's something I can react to and write code to fix, then I have to maintain that code.
We already had that happening with other kinds of automated tooling, but at least it used to be easier to detect by quick skimming.