[HN Gopher] Asked GPT3 to write all necessary Ruby on Rails func...
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       Asked GPT3 to write all necessary Ruby on Rails functions to build
       a Yelp clone
        
       Author : harper
       Score  : 15 points
       Date   : 2022-09-17 19:51 UTC (3 hours ago)
        
 (HTM) web link (twitter.com)
 (TXT) w3m dump (twitter.com)
        
       | c7b wrote:
       | Funny seeing this on HN next to a post on artists worried about
       | Stable Diffusion. Everybody was expecting AI to come for taxi
       | drivers' jobs first, and here we are.
        
       | metadat wrote:
       | Cool demo but in the end they didn't even try to run it, and
       | settled for a dinky todo list app instead.
       | 
       | I feel a bit lied to with the bait and switch. ^^
        
         | c7b wrote:
         | The post showed exactly what the headline described.
        
       | nwienert wrote:
       | Clickbait title * 1000.
       | 
       | As someone who is building a "Yelp clone" of sorts, this amounts
       | to about 1/1,000,000,000 of the amount of work to actually build
       | a Yelp clone.
       | 
       | I get that this could be helpful for absolute beginners who just
       | want guidance on the very first steps to building any basic CRUD
       | app.
       | 
       | But there are very prominent people in ML who are actively
       | claiming that programming itself will be taken over or whatever
       | by ML soon (Sam Altman, Gwern), and who I think for some odd
       | reason don't realize that what GPT-3 is doing here would take any
       | average junior software developer about 30 minutes to do tops.
       | Meanwhile no matter how many junior engineers you had they could
       | never clone Yelp (maybe after many years and a few re-writes, ie,
       | they become senior) - it would take more like a team of 10 very
       | senior software engineers multiple years to deliver anything
       | close to a Yelp clone. And it's not just scaling, the first steps
       | are the easiest parts and the best documented.
       | 
       | It's akin to an ML art program drawing a single wobbly paint
       | stroke and then writing a blog post about it "drawing all the
       | strokes to make a Picasso clone".
       | 
       | Except it's also even harder than that. Because art can be
       | sloppier and generally deals with a simple set of skills put
       | together in forms that aren't hard to study. Meanwhile software
       | one tiny mistake in one area could break the whole system, and
       | you need deep logical reasoning and tons of iterative problem
       | solving with long term memory to debug it.
        
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       (page generated 2022-09-17 23:02 UTC)