grumbelbart2

> 99% of people don't backup

This depends on your viewpoint. Using gmail for example is an implicit backup of your e-mails. Uploading your pictures to Facebook the same. The move from local, private compute and storage to the cloud solved this issue for many to a degree that it is now less important.

Cameron wanted to split the four freedoms. Canada does not, from what I can read.

Google's scraper bot at least used to be behind IPs that you could identify via reverse-then-forward DNS. Not sure if that is still up to date, though.

https://developers.google.com/search/blog/2006/09/how-to-ver...

Remember when their Android app would open a local TCP port, and they would have websites connect to localhost:PORT so they could deanonymize you? That was only like 1 year ago.

Sure maybe, but the online ad market is USD 400b give or take, which vastly outmatches any such budgets.

Few human concepts have strict, definable "boundaries". Things might seem obvious at first ("I know it when I see it", as stated by the US supreme court). You can take a concept, move its seemingly obvious properties into the extreme, and observe how the boundaries become blurry.

What is a car? Four wheels? What if you move two of those wheels closer together until they almost merge into one. What is a country? etc.

From what I know it's better for the life span. Less load, fewer start-stop cycles, less vibration.

Once a thief, always a thief. I would not trust them to not have the communications buried deep in some log files in cold storage, to be digested when suitable.

Memory on the first cruise missiles was so sacred though that they it could only store the pre-planned flight terrain data. So they not only loaded target coordinates, but full flight plans and had to launch from the programmed position. Desert was difficult as it has too few features.

That is my understanding as well. Thousands of monkeys do not equal or surpass a man, intellectually, even if working together. There is some intrinsic super linear scaling in intelligence.

Railway operators do this to inspect tracks: Mount a line-scan camera that looks down, get an "infinite" image of the tracks, inspect for anything interesting.

I by no means wanted to suggest the opposite (that's how I found the connection)!

Schmidthuber is famous for his groundbreaking work in machine learning, but also for being somewhat left out when people list the "Grandparents of Deep Learning" and for being vocal about that. I just wanted to poke that bit. If your work takes off, it would be a great chance for him to shine.

Funnily enough, Jürgen Schmidthuber invented / coined the term "Gödel Maschine" in 2003: https://arxiv.org/abs/cs/0309048

He'll probably have a field day over this.

Of course it exists in Germany. If I say ‚Hello‘, I could not claim copyright on that sentence because it does not have the required schöpferische Höhe (threshold of originality). The sentence is simply not copyrightable, putting it into public domain.

Note that this is different from Gemeinfreiheit, where a copyrighted work essentially becomes public domain 70 years after the death of its creator.

Compiler output is a derivated work of the source code and thus keeps the copyright of the code.

That would violate a different law, though, § 201 StGB (German penalty code) forbids recording if there is a reasonable assumption of privacy (which you can have even in public).

This complaint is about a different law (§ 8 TDDDG), that explicitly forbids selling and owning devices that are designed as every-day objects and that can record sound and/or video and that.

No, they would not be in violation. And an independent third party can pick them up and train with them. But you are not allowed to "support" that third party, otherwise you violate the ToS.

It might depend on your jurisdiction, but LLM output is usually not copyrightable because it is not made by a human. There might be a few exceptions, if you guided the LLM in very specific and particular ways. But in general, the output of an LLM is public domain the moment it was produced.

Can you never tell anybody and just slap a license on it? Sure.

The issue here is not the license, but that you violate their ToS (if that is valid and enforceable is a different question of course). But if you publish the LLM output on github, and someone else takes it to train their LLM, and you did not actively encourage or help them, it's fine.

Nobody "owns" it for the most part. Most LLM output can not be copyrighted, because there is not enough human essence in it. Meaning that it is public domain the moment it is produced.

There might be a few exceptions, if you really guided your model in a certain particular way, but that is rare.

What /could/ be is that you violate their ToS. If that ToS is valid and legally and practically enforceable is a different question and will depend a lot on your jurisdiction.

Oh, which book if you don't mind sharing?

That's not a good point though, a lot of countries, including the EU, also subsidize fossil fuels.

Solar is cheaper, but requires more room and time to spin up (think datacenters, where you can put a turbine within a month) and storage or backups for windless nights.

Panels absolutely, their price is more and more dominated by installation costs. You can probably use automation to bring that down as well, especially for large-scale installations. Not sure if that requires AI research though, it's more an engineering and funding challenge.

Batteries are still open. While they do get cheaper, there is still a lot of room to improve. And battery chemistry is something where a lot of research, trial and error, healthy intuition is necessary. I'd say that is more a field where an AI based approach might make sense.

This can be out of your control. Your health insurance will ask why that camel hit you, and might sue the bus operator for their damages for letting you out where they should not.

They don't have access to EUV machines from ASML though.

I never understood why visited websites and all their first and third party cookies are not isolated by default in browsers.

There are so few sites where I really need cross-site logins to work that an opt-in would be much more preferable.

Have all sites set cookies on whichever third party they want, but don't share those cookies over. Add an explicit "Do you really want foo.com to share data with bar.com?" if you really need to see those facebook comments on your news site.

The supply chain both in parts for their machines, but also in terms of research and technology for new machines is very deep and very international. If the US states that a technology can only be used by ASML if they keep R&D in the US, then there is no easy alternative for ASML.

That is true not only for ASML, but for the semiconductor industry in general. The number of smaller, specialized companies for certain tools, chemicals and software is staggering. And they sit all over the US, Europe, Japan, Taiwan and Korea.

The good thing about math is that you can formally verify the results, making hallucinations much less scary.

This is similar to games, where large learning models had some of their first big wins (go). Games, like math, have strict rules that can be used to prune invalid outputs.

It is already in the making, the next big step in math will be the complete formalization of all existing, relevant theorems and proofs via LLMs.

It's one of those "imagine a frictionless, perfectly spherical pig in a vacuum" theories that don't survive contact with reality.

Buyers don't just pop up on timestamp zero and remain unchanged. They anticipate price changes, potential new buyers come in, the market is dynamic.

I also don't understand why this only affects monopolies. The same logic should dictate that all products and services fall towards MC?

Can it in some way do some action based on the talk? For example, can it summarize the brainstorming into a text file, post it somewhere etc.?

Essentially part of a machine vision software package, which in turn is computer vision specialized for factory automation. It's "industrial" because it was trained on such data (more expiration dates and SEMI-font on wafers, less random pictures of streets with some text).

That, plus engineering and support: a robust implementation, deployment on almost any system, fast and good long-term support so your factory doesn't stop for too long if something goes wrong etc.