https://govscent.org/bill/USA/118hres190ih
It extracts the topics and determines how on topic the bill is. Soon we're adding a topic browser and the homepage will have some fun stats :) it's all free.
101–110 of 206 posts
https://govscent.org/bill/USA/118hres190ih
It extracts the topics and determines how on topic the bill is. Soon we're adding a topic browser and the homepage will have some fun stats :) it's all free.
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Crypto is actually the solution to that. Unlike traditional finance, you don't need a human to sign up under an account. So an AI can just keep it's own wallet and order humans to set up server farms.
If AI ends up being the one finding a real usecase for crypto, will we have the indisputable proof that it is smarter than humans? :)
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The market disagrees with you. How come there are billions of dollars spent on all these knowledge workers around the world every day when they could be replaced by this expert-level AI? I'm not sure where this idea of LLMs being intelligent even comes from. It took me a whopping 9 prompts (genuine questions, no clever prompt engineering) of interacting with ChatGPT to conclude it does not understand anything . It do…
To give an example of the limitations of these things that's hopefully easy to understand, I got access to Bard this morning and asked it to write a limerick. It gave me what could charitably be called a free verse poem that happened to begin "there once was a man from Nantucket." I'm sure they can improve on it (ChatGPT was better at this kind of thing when I had access to it) but "solved problem" is clearly a long…
There once was a dog from the pound
Whose bark had a curious sound
With a wag and a woof,
He'd jump on the roof,
Delighting the folks all around.Earlier quoted context omitted.
Not sure why you got downvotes. It seems like it's a solved issue indeed. AI reasoning has still some way to go, but it seems language understanding is a finished subject.
Regurgitating training data trigram by trigram is not how human language processing works.
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To give an example of the limitations of these things that's hopefully easy to understand, I got access to Bard this morning and asked it to write a limerick. It gave me what could charitably be called a free verse poem that happened to begin "there once was a man from Nantucket." I'm sure they can improve on it (ChatGPT was better at this kind of thing when I had access to it) but "solved problem" is clearly a long…
Seems Pretty Good to me! Better than I could do anyway. Bard is a joke compared to GPT-4: "Write a limerick about a dog" There once was a dog from the pound Whose bark had a curious sound With a wag and a woof, He'd jump on the roof, Delighting the folks all around.
My main take away here is that Turkers are terrible at some of these tasks. The "stance" task is, "Classify the tweet as having a positive stance towards Section 230, a negative stance, or a neutral stance.", and the Turkers accuracy was like 20%. Even in its best task, ChatGPT only got 75% accuracy.
I have long suspected that Turkers dishonestly perform the tasks. At 0.06 cents per task, you're really incentivizing "finish the task as quickly as possible"; and "press the left button" is a lot faster than "read the tweet, think about it, and classify".
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Also "the per-annotation cost of ChatGPT is less than $0.003 -- about twenty times cheaper than MTurk." It's interesting that the best available MTurk Master crowd-workers located in the US are paid about six cents per task.
I guess my surprise is that the machine is only 20x cheaper than the cheapest human available.
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I have long suspected that Turkers dishonestly perform the tasks. At 0.06 cents per task, you're really incentivizing "finish the task as quickly as possible"; and "press the left button" is a lot faster than "read the tweet, think about it, and classify".
You always use multiple MTurks on same job when you use them.