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Q&A tends to be "chunky" and asynchronous in its communication model. This comes from a reaction to the previous model of forums where it was smaller bits of d
by shagie 2y ago
Q&A tends to be "chunky" and asynchronous in its communication model.
This comes from a reaction to the previous model of forums where it was smaller bits of data spread across multiple comments or posts. I recall going through forums in the days before Stack Overflow, trying to find out how to solve a problem. https://xkcd.com/979/ https://xkcd.com/979/ was very real.
Stack Overflow (and its siblings) was an attempt to change this to a "one spot that has all the information".
That model works, but it is a high maintenance approach. Trying to move from a back and forth of information that can only be understood in its entirety across a conversation to become one that more closely resembles a Wikipedia page (that hides all of the work of Talk:Something). The key thing is it takes a lot of work to maintain that Q&A format.
And yet, users often don't know what they want. They want that forum model with interaction and step by step hand holding by someone who knows the answer. Stack Overflow was intentionally designed to make that approach difficult in an attempt to make the Q&A the easier solution on the site.
ChatGPT provides the users who want the step by step hand holding an infinitely patient thing behind the screen that doesn't embarrass them in public and is confident that it knows the answer to their problem.
Stack Overflow and Quora and other Q&A forums are the abomination. People want Perlmonks https://www.perlmonks.org/?node_id=11164039 https://www.perlmonks.org/?node_id=11164039 and /r/JavaHelp where its interacting with another and small steps rather than Q&A.
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The future of "well, if people stop using the sites that is generating the information that is being used to train the models that people are using to get information" ... that becomes an interesting problem.
I am reminded of Accelerando ( https://www.antipope.org/charlie/blog-static/fiction/accelerando/accelerando.html https://www.antipope.org/charlie/blog-static/fiction/acceler... ) and the digital civilizations being various forms of scams and the currency is things that can think new ideas.
The currency is new material that is to be sold. The information gets locked behind some measures to try to make scraping impractical and then sold off wholesale. Humans still talk and answer questions. There are new posts on Reddit about how to solve problems even while ChatGPT is out there. And Reddit is presumably trying to make harvesting the content within its walls something that others have to pay for to get at for training.
- aleph_minus_one 2y ago> And yet, users often don't know what they want. They want that forum model with interaction and step by step hand holding by someone who knows the answer. This sounds like the seed for a business model to pitch in the next upcoming hype cycle: "short-term hiring of experts with quarter-hourly billing increments enabled by our web- or app-based user interface". :-)
- shagie 2y agoMaybe... the difficulty with how AI is advancing, it might be difficult to distinguish it from an LLM. You might even get to the callcenter problem of "initial support handled by someone following a script" before you can get passed to someone who knows how to solve the problem. If I want someone to walk me through making muffins from scratch, is a human on the other and of that line (competing with $1/day rates for ChatGPT Pro - its cheaper than that, but that's the comparison) and are they better than what ChatGPT can do? It would have to be... quite a bit more than what the LLM would be priced at. The minimum it could reasonably be (without any other things) would get close to $4/15m... and that's minimum wage. I really don't think that humans are competitive on that timescale or rate. It would probably be better to hire people at some higher rate to write content for your private model. Brandon Sanderson is considered one of the faster writers (in the fantasy genre) and averages at about 2500 words / day ( https://famouswritingroutines.com/collections/daily-word-counts-of-17-famous-authors/ https://famouswritingroutines.com/collections/daily-word-cou... ) - and while he makes a lot more than most authors, lets go to a more typical $75,000 USD / year. 250 working days per year and we're at $300 / day. And we're to $0.12 per word. ... Which puts a person in the intermediate to experienced price per word range https://uxwritinghub.com/writers-salary/ https://uxwritinghub.com/writers-salary/ Not that I'm suggesting that's the way to do it, but something for LLMs to consider - hire experts to write content for their LLM. $125 per 1000 word blog post. 298 words. I'd like my $37.25 please. Not that I'm asking you for that, but rather that's what my words as training material would be worth.
- wombatpm 2y agoSee what’s missing is the ability to put your answers on the blockchain …