Hehe, interesting.
The instructions would be basically the same for me.
I hope you had a nice dive!

This is the research. What I have learnt so far is even the suppliers are not sure how to apply their AI, let alone the customers.
That is wrong.

First: a customer of Scale.ai for example, simply only wants one who helps him to train an LLM. That is what I did the last 5 years. They do not want to buy the hardware and hire the expertise. And do not want to be exposed.

Secondly: Customers using LLMs/AI, perfectly well know what to do with it. Why would they not?

Instead of wring an incredible complex SQL query, that only works on data that actually is in a database, or asking a programmer and IT to set up a GraphML system: they ask in natural language.

Example:
Give me the ten biggest customers, where my department is responsible for, that used to order from us, but did not order recent 6 month.

Simple. What is not to grasp about that? I don't get it.

I suggest to check Youtube. There are thousands of videos about high tech companies that use AI for scientific problems, like "very special" rocket engines, protein or vaccine "invention" or metallurgic advancement or Perovskite materials, production processes, or solid state batteries, where the break throughs were made with AI tools.

AI, as we call it (wrongfully in my opinion) is used in any kind of big data analysis to find: patterns.
You have a hunch about a better (as in: make more money) product, but can not correctly put it into math formulars: you write a natural language query, and let the AI lose on your data.

Example:
Supposed I had a hypothetical customer, which needs electric power following this load curve over a day (upload photo! picture!). Give me 100 (potential) customers which did not sign a contract with us the recent 24 months.

Point is: the examples are in natural language. There is no programmer translating it into SQL or an IT department providing special pre prepared data that is curated to be in "machine readable" form.

You seriously should simply start using the "AI mode" on google and "ask questions". Normal questions. It is as simple as that: "what are the 20 biggest natural parks on the planet, give me a table, with name, location and size, and a short summary about their specifics".

That might be completely useless for you but I am pretty sure, you find quickly something where AI gives you answers where "normal Google Fu" would not be enough.

Now imagine, you work for a company like BioNtech ... "I have an idea about an RNA approach tackling the BGN45 receptor of a COVID2019/beta-tetha-4 virus. Make me a list what we have tried in our company, and what other companies have published, summarize it to maximum 25 pages".

I seriously have problems to grasp what YOUR problem with AI is.

Of course: feel free to translate everything above into SQL/GraphQL and explain me: who did when set up the databases for those queries.

P.S. depending on the LLM, it will search the web for the stuff I proposed regarding BioNtech, for example: finding and analyzing human readable PDFs for example from arXiv.org

Now something completely different:
""" I want to set up a restaurant. In Thailand. I would like to call it "Nonglak's temple of the moon". Do you think, calling a restaurant with the Thai word for temple (Wat) would be affronting in Thailand? What would be alternatives? Like Shrine or Grove? Or Park or Garden? Would it make more sense to call it "Nonglak's Temple to/of the Goddess of the Moon"? Give me a variation of names, in English, Thai letters and Thai pronunciation in English letters"""

Just put it in any "AI search engine" and look what happens ...

Yeah, I forgot the "whole joke".

It was like: some guy storms into Kennedy's office and yells "The Russians want to land on the moon and paint it red!"
And Kennedy simply replies: "who cares? We write Coca Cola on it!"

Well, slavery was more or less (cough cough) abolished in the US after the secession war.

Cuba run by US mafiosi still had slavery until the revolution. And that was 1959!!!! And stupid americans wonder why the survivours/winners of the revolution picked a "one party system" with "government health care" over pure capitalism.

Basically every Hawaiian was a slave till World War II. Yes, I exaggerate. Someone with more knowledge can define the date better. I do not care about the exact date.

It is still illegal, and not freedom of expression, for Hawaiians to honour the royal family.

US tried to wipe out nearly everything which makes the Hawaii culture unique, like the language and Lomi Lomi and Kapu KuÊialua / Lua.

If it was not for Wikipedia (pun intended): no one would know that "wiki wiki", is an Hawaii word.

This is not a spelling error: "teachtresses" - It is a made up word. If you are to stupid to realize what it is supposed to mean, then that does not make me a dick, but makes you an idiot.

"where" is also not a spelling error, either. It might have been the wrong word at the place I used it.

And? Who cares? Only grammar nazis care. I am German, I am not a native English speaker :P

Point of the discussion was hand writing versus typing on a computer. One makes you memorize stuff better than the other thing.

If you had tried it: you would agree.

So, the only point of you we all can agree on is: you never tried it.

But that's really beside the point since what you said is completely false.
I think you had a bad day.

No it is not false. As I said the same thing you said, I just did not word it as you did: The NSFC in China requires peer review for all government funded research to be conducted *by peers*. Obviously
As it is as it should be :P

The government has an agency to manage funded research but the final review is farmed out to universities, not to political appointees.
Again, correct. And it is, as it should be, or not?

That is nonsense.
Top to bottom.

The top models are:
* OpenAI "Astra", specifically trained for math.
* GPT-5.4 and 5.5. General purpose, but specifically trained for math and physics
* DeepMind and AlphaProof: specifically trained for math proofs
Then come DeepSeek and Qwen, especially Qwen2.5-Math (look at the name) and Qwen3.7-Max, both are explicitly trained to crack math problems.

A general purpose model has no benefit from being general purpose. What counts is always only the training data that actually is relevant for the topic/prompt/question.

The fact that a model can generate HTML5 code - is completely irrelevant to the question if bone marrow can cause an emboli or not. Raw facts are completely irrelevant to reasoning anyway.

You should ask an LLM about LLMs :D as they give really nice summaries, which are difficult to copy paste to /.

Why do you think there are good dictatorships?
A) I was sarcastic
B) that a country is defacto a dictatorship, is not necessarily bad. It simply depends on the dictator and what is going on in the country. Dictator(ship) simply only means: there is one (usually a single person) who can dictate what is going on and what it is supposed to happen, without any counter check or parliament approval or similar.

In a certain sense, Thailand for example is a dictatorship. The king, Rama X, can dictate what ever he wants, and it happens. However: ordinary laws are made by the parliament. Most offices that do not directly report to the king, are positioned by local elections. And: the king is not giving orders that look like making him a Tyrant/Dictator.

China is not a dictatorship. Neither is Laos or Vietnam. Burkina Faso is a dictatorship, but their leader is a "benevolent dictator" catapulting his country to world leadership. Similar in Niger.

Iran is a dictatorship, but they do not have a single dictator but an oligarchy.

Argentinian and Chile were dictatorships set up by the USA for no farking reason and tolerated until they collapsed, millions of people got killed.

Perhaps the correct word would be "terror regime". A dictator is not necessarily leading a "terror regime".

As a German I need a visa for USA. It is called ESTA, that is probably why you never heard about it.

Food here is cheap, plentiful, and available in every variety you might want. Everyone who ever was there; tells different :D

Cheap food is cheap, ordinary food is expensive. Good food is ridiculous expensive.

I did not use an "astrophie" and most certainly not several "astrophies" in my post :P

I used quotes, learn to grasp what a quote means.

What about Africa?
Indonesia?

Should we start googeling what the biggest national park in the USA is?

Point is: there are plenty of big national parks all over the world. And yes: they are wilderness. That is the point of a national park. Except for the trails, and hand rails or stairs somewhere: it is all wilderness.

Or do you think a national park in for example Germany, France or Thailand: is not wilderness? What would it be? A Disney Park? In Thailand you have Tigers and Elephants. In Germany Woolf, Bear and Lynx.

Sure, somewhere is a resting place, and that might have more than one hut, and a solar panel and coffee and a hidden or not so hidden "road" to it a car can take. Nevertheless the park as such, is wilderness.

In the top 20 largest national parks on the world, are two from the USA.

What you guess which places they have?

I tell you, number 9 and number 17.

Of course, if you had annexed Greenland, as the Trumpler tried, the top one would be also American: Northeast Greenland National Park.

Of course you have a point, as there is no European national park amoung the top 20 (probable because I explicitly asked for "country", and plenty of national parks here span over several countries).

#3 is Algeria
#4 is Iran - the puny little country where you mixed up, how big it is.
#7 is Columbia, south America

Two are in Canada, one in Australia.

So, technically, the biggest national park on the planet is: European. It is in Greenland, part of Denmark. However: Greenland is not in Europe :P

No idea what you are talking about.
Why the funk would I know a person called Lous Rossmann?
I sold my Apple stocks - unfortunately - 1996.

So far the evidence seems to indicate that they're still using as many high-level NVidia chips as they can get.
And what would be the evidence for that?
NVIDA disclosing how much they export to China? I do not think so.

Seems you are French? One of my best friends used to be on earthlink.net - left unfortunately as they could not tackle the spam problem.

No idea what you want to say.
A math LLM is most certainly not good in coding HTML5 - what ever you ask it to code, a game or anything else.

That does not count.
They were Russian probes/artifacts.
And it was a hoax anyway.
They were sent up there to paint the moon red, and print Coca Cola on it.