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Discussion (8 Comments)Read Original on HackerNews
I admit there is a certain hypocrisy between my irritation at them hovering everything up irrespective of licence and my more idealistic “information wants to be free” views, though in my defence I see a significant difference between “information wants to be free” and “information wants to be part of their theme park for which they charge access”.
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One of the big things holding back LLM's is that they can't feed on their own output. Disconnected from human input, they hallucinate and spiral off into chaos. The author of this piece may see that as good for humanity, but it's an unintended flaw that every AI corp on the planet dreams of solving. They believe that, if they can successfully remove humans from the feedback loop, AI intelligence will charge off straight into that dreamed-of singularity and make their masters unfathomably rich.
The author is probably correct in that having humans in the loop is what gives AI values that are somewhat human, so what happens if somebody really does succeed in removing humans from the loop? Given how quickly things are likely to proceed after that point, we should ponder the repercussions in advance.
Well, as we can see, it's devilishly difficult to prevent a machine from violating those core beliefs. But the problem is, even those core beliefs have nuance and exception: war is bad? Not if you run an arms company. Humans are valuable? Not if you're an insurance company who can make more money on human misery than on human health. And the list goes on. Statistics won't take care of it when a machine makes a decision based on some internal logic that it can squeeze out of our vague rules.
Most human-written texts on the internet refer in some way to the real world, or at least to things outside the text itself: They might be descriptions or reactions to current events taking place, or blog posts or wiki entries discussing some aspects in detail. Even completely fictional texts reproduce basic assumptions about the world, culture markers, etc.
In contrast, LLMs learning on their own output have no connection at all to the outside world, the data just reinforces all assumptions the model already has, whether or not they are true or useful.
Or the resources spent on AI, which could have been directed towards decarbonization and solar build out over the last few decades...
I think AGI is the least of the concerns on the Humanity Bingo Card right now.
If you/we are collectively worried at what the repercussions of self directed AI, than that would be a first in the long history of capitalism.
Agree to disagree.
If there was a realistic way that I could make LLMs less effective, by poisoning the well or something I'd be doing that instead.
I find the idea of loving an LLM like in this post very creepy and unsettling. Even more so for one of them to do it back.
This post mentions Luddites. I guess I am one. But that's not enough to dismiss their ideas.
Lots of places that serve compressed database dumps (like Wikipedia) find themselves flooded by LLMs downloading the full rendered payload for each page they crawl.
Those people using LLMs to read your site are barely going to notice the citation, much less click on it and give you actual traffic.
It's a DDoS by any other name. Block 'em straight to hell.
1. AI is inconsistent and unpredictable. It can do what is expected today, but the same AI can do totally different, unpredictable, and maybe even dangerous thing tomorrow.
2. AI is bad on a long context - if you give AI instructions, it forgets/misses/misinterprets them. The longer the context, the more deviations are produced.
As a result, AI usage must follow these rules:
1. There should always be a human-in-the-loop to review every AI output - it solves problem #1. Yes, there will be a significant slowdown of the processes, but alternative is a quickly accumulating mess.
2. AI must be given only a short context to deal with - this is solution for problem #2. I predict this term will be popular soon - "AI microagent", meaning agent handling a short context. Yes, there will be a manual work integrating and orchestrating a huge number of these microagents, but it is still better than fixing all defects of AI-generated output after feeding it a single long context.