Piracy: ꜱᴀɪʟ ᴛʜᴇ ʜɪɢʜ ꜱᴇᴀꜱ

On the whole, maybe LLMs do make these subjects more accessible in a way that's a net-positive, but there are a lot of monied interests that make positive, transparent design choices unlikely. The companies that create and tweak these generalized models want to make a return in the long run. Consequently, they have deliberately made their products speak in authoritative, neutral tones to make them seem more correct, unbiased and trustworthy to people.

The problem is that LLMs 'hallucinate' details as an unavoidable consequence of their design. People can tell untruths as well, but if a person lies or misspeaks about a scientific study, they can be called out on it. An LLM cannot be held accountable in the same way, as it's essentially a complex statistical prediction algorithm. Non-savvy users can easily be fed misinfo straight from the tap, and bad actors can easily generate correct-sounding misinformation to deliberately try and sway others.

ChatGPT completely fabricating authors, titles, and even (fake) links to studies is a known problem. Far too often, unsuspecting users take its output at face value and believe it to be correct because it sounds correct. This is bad, and part of the issue is marketing these models as though they're intelligent. They're very good at generating plausible responses, but this should never be construed as them being good at generating correct ones.

Except it won’t. And AI we’ll be pay to play

That would be good if they did that but that is not the intent of the org, the purpose of the tool, the expected or even available outcome.

It's important to remember this data is not being scraped to make it available or presentable but to make a machine that echos human authography convincingly more convincingly.

On an extremely simplified level, it doesn't want to answer 1+1=? with "2", it wants to appear like a human confidently answering an arithmetic question, even if the exchange is "1+1=?" "yes, 2+3 does equal 9"

Obviously it can handle simple sums, this is an illustrative example

thanks! it actually makes much sense.

welp guess I was wrong. so back to .edu scraping!

No and no.

Never really was

It's following the Amazon monopolization model.

Or are you telling me that vastly the fastest growing platform in history with multiple payment gates (subscriptions, pay per token, licensing etc.) was not profitable

Are you not aware that 99 times out of 100 if you see a tech company rapidly growing it's completely unprofitable and not even attempting to be profitable yet? It's called blitzscaling and is pretty clearly what openai is attempting. Like if you see a tech company quickly growing you should be assuming it's unprofitable until proven otherwise not the opposite lol.

Running those datacenters is extremely expensive.

Not sure if you are joking but... it does not appear to be making anywhere near the amount of money that has been invested in it.

It costs a stupendous amount of money to develop the models, to train them, to rent out or just buy the hardware needed to do this, to pay for the electrical power to do this.