It appears there is space for "packaging and distribution in EU as a service" business model.
Creators, producers and manufacturers in many fields do not distribute or sell directly to consumers (musicians can't directly upload to Spotify and Apple Music; film producers don't upload to Netflix, writers don't print their books).
A small-time maker may pay a fee to the established distributor of the physical products, who takes care of compliance, and uses their packaging and distribution channels.
Good idea, except that the regulation (as I understand it) prevents this. The company sending out the packaging to the customer is the one who has to register. It's possible to hire consulting to set this up, but the fees don't go a way or get distributed over a broader set of shoulders.
Are there good ESP32-based starter kits with manual books which a kid can learn from? I was looking for an Arduino-like kit as a Christmas gift, and it seems that Arduino kits are unbeatable. The starter kit is available in 10 languages and comes with a project booklet. All ESP32-based products seem to be better suited for more advanced users and seem to have a steeper learning curve.
No, not like there are with Arduino. Arduino is definitely the best I know of for embedded programming, and it has its place there, but I stopped trying to do real work with it.
Pro Spotify: existing playlists and history, better artists info, better UI.
YouTube Music is both better and worse: UI has some usability issues and unfortunately it shares likes and playlists with the normal YouTube account, as a library it has lots of crap uploaded by YouTube users, often wrong metadata, but thanks to that it also has some niche artists and recordings which are not available on other platforms.
That's probably driven by some kind of an AR headset. AR can't properly render solids, so it is stuck with having everything transparent. Now it won't look worse than everything else.
> most LLM users will ~always choose the smartest model
Most LLM users will choose the cheapest model which is good enough.
I think that LLMs' performance is already "good enough" for a lot of applications. We're in the diminishing returns part of the curve.
There are two other concerns:
1. being able to run the model on trusted infrastructure locally (so some jerk won't turn it off on a whim, and the data will remain safe and comply with the local data protection laws and policies)
2. having good tools to create AI applications (like how easy it is to fine-tune it to customer needs)
> how much the addition of copyrighted material affects how smart the resulting model is
Copyrighted material improve the models, not by making it smart, but more factually correct, because it will be trained on reputable, reliable and up-to-date sources.
Copyrighted material includes works by authors from outside the US. By Berne convention, the exceptions which any country may introduce must not "conflict with a normal exploitation of the work" and "unreasonably prejudice the legitimate interests of the author". So if at least one French author does license their work for AI training, then any exception of this kind will harm their legitimate interests and rob them of potential income from normal exploitation of the work.
If the US can harm authors from other countries, then other countries may be willing to reciprocate to American copyright holders, and introduce exceptions which allow free use of the US copyrighted material for some specific purposes they deem important.
IANAL, but it is a slippery slope, and it may hurt everyone. Who has more to lose?
The legitimate interest that there does not exist a tool that allows any random person to create art in the same style as she does? Which could arguably devalue their offering?
Exactly. Some copyright holders do license their work for AI training. It certainly happens in the music industry, but I don't see why texts would be any different. The exception would harm their business.
Creators, producers and manufacturers in many fields do not distribute or sell directly to consumers (musicians can't directly upload to Spotify and Apple Music; film producers don't upload to Netflix, writers don't print their books).
A small-time maker may pay a fee to the established distributor of the physical products, who takes care of compliance, and uses their packaging and distribution channels.