this post was submitted on 28 Jan 2024
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[–] tatterdemalion 79 points 1 year ago* (last edited 1 year ago) (4 children)

It literally cannot come up with novel solutions because it's goal is to regurgitate the most likely response to a question based on training data from the internet. Considering that the internet is often trash and getting trashier, I think LLMs will only get worse over time.

[–] [email protected] 52 points 1 year ago (2 children)

AI has poisoned the well it was fed from. The only solution to get a good AI moving forward is to train it using curated data. That is going to be a lot of work.

On the other hand, this might be a business opportunity. Selling curated data to companies that want to make AIs.

[–] tatterdemalion 11 points 1 year ago (1 children)

I could see large companies paying to train the LLM on their own IP even just to maintain some level of consistency, but it obviously wouldn't be as valuable as hiring the talent that sets the bar and generates patent-worthy inventions.

[–] MagicShel 3 points 1 year ago

You can fine tune a model with specific stuff today. OpenAI offers that right on their website and big companies are already taking advantage. It doesn't take a whole new LLM, and the cost is a pittance in comparison.

[–] [email protected] 1 points 1 year ago
[–] [email protected] 28 points 1 year ago (1 children)

Also the more the internet is swept with AI generated content, the more future datasets will be trained on old AI output rather than on new human input.

[–] tatterdemalion 16 points 1 year ago (1 children)

Humans are also now incentivized to safeguard their intellectual property from AI to keep a competitive advantage.

[–] [email protected] 7 points 1 year ago* (last edited 1 year ago) (3 children)

What are some strategies for doing that? (This is me, totally not a bot)

[–] [email protected] 4 points 1 year ago
[–] [email protected] 2 points 1 year ago

Lets see, since the goal is to prevent webscaping all these should work: paywalls, account only acsess, text obferscation (e.g. using a custom font that maps letters randomly to other ones so it looks fine but to a webscraper it looks like gibberish), HTML obferscation (inserting random characters in the HTML then hiding them using CSS) and many more.