What about the code that wasn't even GPL, but "all rights reserved", i.e., without any license? That's even stronger than GPL and based on your reasoning, this would mean that any code created by an LLM is not licensed to be used for anything.
You get it wrong. Copyright is excluding you from using something, a license is allowing you to use something. So „no license“ does NOT mean „free to use“, but „not allowed to use“.
If you do not hold copyright, you cannot prevent someone from copying a thing. If you cannot prevent someone from copying the thing, then "licensing" it is somewhere between pretty weird and pretty stupid, no?
No, because OP implied that the AI generated content inherits the LICENSE: in their view, if the input has been GPL, The output must be GPL. So if the input hasn’t been licensed at all, the output cannot be licensed. The inheritance of „no license“ is not „no copyright“, but „no license“. The question of copyright applies hasn’t been definitely answered yet, but just because it is likely that the person PROMPTING the AI doesn’t gain copyright, doesn’t mean that an output that is 1:1 derived from copyrighted material loses its copyrighted status. That would be truly ridiculous.
As you note, this is a legal question that has not yet been answered. I think that speculating on the outcome in the current legal climate is fruitless.
I did not refer to privacy rights. If you post a photo of yourselves online, you're giving up on a tiny part of your privacy rights. So my question still stands: would running your photos that you have taken of yourselves through a diffusion model rip your copyright of your photo?
So we have two positions here:
1) LLMs are trained on non-licensed information, so anything coming out of them must be created without a license, so no one should be allowed to use it.
2) LKMs are trained on public information, so everything coming out of the must be public domain.
These two positions are mutually exclusive and I feel that both are not entirely false, but also certainly not fully correct.
Is this true once you use a fancy filter of the photo app of your choice? Is this true once your phone applies such a filter without asking you? Should this be true for Theseus‘ Ship?
We also shouldn't call it "vegan leather" when it is in fact just plastic.
Naming departs from technical accuracy when adopted by the masses, as they retrofit their common understanding. Wouldn't be too surprised if "vaccine" ends up covering other strong defense-boosters.
Mycelium is neat, but last time I heard of it the problem was far, far too low manufacturing throughput.
I don't think anyone would even consider marketing that as "vegan leather", as doing so would mean putting you in the same bucket as cheap-as-dirt polyurethane (which is what regular "vegan leather" is), at an astronomically higher price. You'd pick a new term to differentiate.
I found it funny because the opposite direction, people accused Tesla of naming “autopilot” misleadingly, because it gave them the impression of fully unattended self-driving.
In aviation, autopilot features were until recently (and still for GA pilots) essentially just cruise control: maintain this speed and heading, maintain this climb rate and heading, maintain this bank angle, etc.
Wouldn't be too surprised, either - but I still think there's merit in using words in a more precise manner than the marketing department would like to do.
A good example for the discussion: leather being animal skin which obviously cannot come from a mushroom.
Assuming you were countering my vegan leather claim: Products marketed "vegan leather" is polyurethane or similar, and for marketing reasons you would use a different term if you did something fancier to differentiate. My gut feeling is that a mycelium-based product would be far more expenisive than simple polyurethane, and quite an upsell.
Not sure what "baking your own bread" means if you are using wheat grown by someone else in an oven that you didn't build that is run with electricity you didn't created from your muscles' force. You haven't even contributed to the nuclear fusion which created the oxygen for the water molecules you've been using! How dare you, standing of the shoulders of giants!
Is it "building your own oven" if you go to Lowe's, buy an oven, and installed it yourself? You've done some work, but your integrating a pre-built appliance into your kitchen, not built your own oven
This would been that more competition would be good for the environment because it would drive down prices and margins, and thus the incentive to overproduce. But this rule actually decreases the competitive pressure and increases margins because market exit barriers = market entry barriers
I know that guy from listmonk! I always thought the frontend could use some love and planned to spend a couple of days on contributing a couple of ideas, but I never came around. Now I know why things are as they are :)
tl;dr - author cites a study from early 2025 which measured developer speed of “experienced open source developers” to be ~20% slower when supported by AI, while they’ve estimated to be ~20% faster.
Note: the study used sonnet-3.5 and sonnet-3.7; there weren’t any agents, deep research or similar tools available. I’d like to see this study done again with:
1. juniors ans mid-level engineers
2. opus-4.6 high and codex-5.2 xhigh
3. Tasks that require upfront research
4. Tasks that require stakeholder communication, which can be facilitated by AI
I’d be thrilled if that AI could finally make one of our most annoying stakeholders test the changes they were so eager to fast track, but hey, I might be surprised.
It can facilitate that, certainly. Idk about the background of that stakeholder, but AI can help drafting communication with the right tone to show the necessity. It can help to write a guide on how to properly test the specific feature. It can write e2e tests that the stakeholder could execute from their environment.
Of course, all of that can be done by humans, too. But this discussion is about average speed of a developer, and there’s a reason many companies employ product owners for the stakeholder communication.
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