So they are just slapping random price tags on things now. It’s a database of AI questions. They have paid 13 billion dollars for a database, and everyone’s acting like that’s a perfectly rational sensible thing to do. No one in the financial industry has any sense anymore.
A company that’s only product is something that people either don’t want or actively hate has paid an eye-watering amount of money for a database to train their product on, this training will have no effect whatsoever on whether people want it.
I have this nice bridge with lots of training examples if anybody’s interested, 100 trillion dollars please
It’s an expensive toy that might become a viable product in a decade that doesn’t mean it’s a valuable company today. Irresponsible spending like this is exactly what led to the dot com bubble.
thats completely false when you only ask the llm a very basic question like “what color is the sun?” you need to talk to the model like its smarter than a google search engine. “what color is the sun? pull the data from scientific articles and other sites that study the sun”
if you google the first question, you will have list of different pages, where if you use AI to search on your query, it will model an answer from thoese sources, with said sources linked, similar to a Wikipedia page.
There are thousands of papers on the color of the sun, its trivial to google a paper, if you need an LLM to do this, that’s on you. But if you ask it valve clearances for an indonesian motorbike in english, it will make it up, even though the service manual is available in Indonesian. If you ask it how to synthesize a chemical that nobody bothers to write about because its uninteresting or impossible, it will straight up lie.
So they are just slapping random price tags on things now. It’s a database of AI questions. They have paid 13 billion dollars for a database, and everyone’s acting like that’s a perfectly rational sensible thing to do. No one in the financial industry has any sense anymore.
A company that’s only product is something that people either don’t want or actively hate has paid an eye-watering amount of money for a database to train their product on, this training will have no effect whatsoever on whether people want it.
I have this nice bridge with lots of training examples if anybody’s interested, 100 trillion dollars please
not everyone has a hate boner for AI
It’s an expensive toy that might become a viable product in a decade that doesn’t mean it’s a valuable company today. Irresponsible spending like this is exactly what led to the dot com bubble.
its a useful tool for me doing research.
What kind of research do llms actually help with?
In my experience, if the answer can’t be found in the top google results, the AI simply makes shit up.
thats completely false when you only ask the llm a very basic question like “what color is the sun?” you need to talk to the model like its smarter than a google search engine. “what color is the sun? pull the data from scientific articles and other sites that study the sun”
if you google the first question, you will have list of different pages, where if you use AI to search on your query, it will model an answer from thoese sources, with said sources linked, similar to a Wikipedia page.
There are thousands of papers on the color of the sun, its trivial to google a paper, if you need an LLM to do this, that’s on you. But if you ask it valve clearances for an indonesian motorbike in english, it will make it up, even though the service manual is available in Indonesian. If you ask it how to synthesize a chemical that nobody bothers to write about because its uninteresting or impossible, it will straight up lie.
Isn’t hugging face a database of already trained models?
Partially. But they also host datasets.