Several mathematicians reported that the proof in one of these papers was based on their private chat.
And isn't it obvious? What would prevent what I write? Summarizing and filtering texts is the main function of LLMs.

Combined with private chats.
That "Don't use my chats to improve ChatGPT" option will not apply to internal models.

You mean it is meant to use the PS5 hardware, which Sony subsidized through the price of games, without having to pay for the games which normally pay for the hardware cost.

Either way, there is only a certain chance that the cancer is caused by her job.

The question is, at what chance does one get compensation? 10%? 50%?

I can only read the abstract. They use the DLCZ scheme, which allows to create repeaters, that's what they do with the batches of atoms. It's a quite interesting method, there is lots of other literature on the scheme

How long did this take? As they already write, most photons are lost over such a long fiber. And quantum communication has to be done with single photons, each photon has to be measured individually. And they have to do some statistics over many photons to confirm entanglement.

Well, a PhD has about three years time ...

From the pictures in the articles it looks like it is simply a map of the sky

This wasn't any sophisticated hacking, but a badly designed website. Looks like the user right limitations were in the front end, so the AI was not bothered by them when talking directly to the backend.

ChatGPT itself told me that it works like that when I asked it about these problems: that the LLM is used as an interface to specialized modules.

The LLMs can't even count letters in a word, because it's not a text problem, and no one created a module for this basic task. LLMs themselves are very limited in their functionality.

When I tried to get it to draw electronic circuits it always spit out total nonsense. Supply voltage always connected to ground, and all inputs and outputs of an IC were always connected to the same pin.

The AI companies have hired physics and electronics experts in the meantime. They must have created modules for electronics and physics processing.
It makes no sense to use an LLM for that, I am sure the AIs have specialized neural networks for these tasks.

The current AI tools are Large Language Models (LLMs), pretty much just advanced chatbots. These are neural networks which process and generate texts. This ability is not really helpful for an "Artificial Engineer". This has to be a different kind of neural network, one that processes formulas, design ideas and numbers. Also a simulation module certainly helps.

The current AIs can do more than just processing words, because the text generator is used as an interface to other software- and ai modules. E.g. ChatGPT seems to have a chess module since a few months. Before that it looked like what a text processor can do: copy moves from other games which look similar, meaning it creates pieces out of thin air and does illegal moves pretty often.

(I guess we use different units here)

Google uses its own Tensor Processing Units for AI. ChatGPT also already transitions from Nvidia GPUs to custom in-house designed chips. Anthropic is exploring to design its own custom chips.

These are the first google results when I search for the AI chips of these companies. Then there are also wafer-scale chips

I think Nvidia became big because Cuda is used so much. But ai companies run their own data centres, can use whatever chip design and send it themselves to TSMC. They have no need to pay Nvidia.