mmh. Maybe it's time to start training AI USER-E things, which can demand and consume whatever the Dalees produce.. like Douglas Adams' Electrical Monk - then link these into each other, and go on with our lives :/ if there's any energy left..
Will AI target software dev jobs next? A new way to predict how close we are
11–17 of 17 posts
Re: Will AI target software dev jobs next? A new way to predict how close we are
#12Who tells - or, say, programs - the AI what to change every time stakeholders want a button moved or an endpoint to contain some new field on response? Is leadership going to do all that work too?
The stakeholders get replaced with AI too.
Re: Will AI target software dev jobs next? A new way to predict how close we are
#13OpenAI estimates that Codex (what powers Github’s Copilot) can already complete 37% of coding tasks. DeepMind’s non-commercial AlphaCode is estimated to be 59% better at coding competitions than Codex. But how close are we to automation? There is a huge demand for developer jobs currently. In light of OpenAI’s DALLE-2 commercialization announcement yesterday, here is a new cross-disciplinary approach to determine how…
My experience with DALLE-2 and Copilot makes me think we are quite far off from AI being able to perform software dev on it's own. Both tools need a lot of oversight to pick out usable pieces from the gibberish that gets spit out most of the time.
That said, copilot is a great tool for generating boilerplate code, like writing a model class for a parsed JWT token or adding tedious annotations somewhere. I've used GPT-3 to generate javadoc headers for a codebase before with decent success. It gets way more fragile when there's an actual problem to be solved though, and is basically unusable about 100% of the time on complex areas of code.
From my experience, the real result will be that AI might replace interns and some people who are only doing the tedious data modeling parts of coding, but there's a very, very long way to go before it will be able to be more than just a tool for developers to code slightly faster.
Re: Will AI target software dev jobs next? A new way to predict how close we are
#14OpenAI estimates that Codex (what powers Github’s Copilot) can already complete 37% of coding tasks. DeepMind’s non-commercial AlphaCode is estimated to be 59% better at coding competitions than Codex. But how close are we to automation? There is a huge demand for developer jobs currently. In light of OpenAI’s DALLE-2 commercialization announcement yesterday, here is a new cross-disciplinary approach to determine how…
I expect that in 2030, you will need 3 ppl to write code that now you need around 10. I think more devs will switch to more product owner roles or analysts that talk to ppl and spec but more high level - constraints etc. So basically these entry level coding that’s boring should get automated. Skilled individuals will get up to 10x leverage and be real rockstars.
Re: Will AI target software dev jobs next? A new way to predict how close we are
#15OpenAI estimates that Codex (what powers Github’s Copilot) can already complete 37% of coding tasks. DeepMind’s non-commercial AlphaCode is estimated to be 59% better at coding competitions than Codex. But how close are we to automation? There is a huge demand for developer jobs currently. In light of OpenAI’s DALLE-2 commercialization announcement yesterday, here is a new cross-disciplinary approach to determine how…
I expect that in 2030, you will need 3 ppl to write code that now you need around 10. I think more devs will switch to more product owner roles or analysts that talk to ppl and spec but more high level - constraints etc. So basically these entry level coding that’s boring should get automated. Skilled individuals will get up to 10x leverage and be real rockstars.
That’s extrapolating just from current capabilities. I think there’s chance we will figure real reasoning in AI in next 10 years given interest/investment in field.
Re: Will AI target software dev jobs next? A new way to predict how close we are
#16OpenAI estimates that Codex (what powers Github’s Copilot) can already complete 37% of coding tasks. DeepMind’s non-commercial AlphaCode is estimated to be 59% better at coding competitions than Codex. But how close are we to automation? There is a huge demand for developer jobs currently. In light of OpenAI’s DALLE-2 commercialization announcement yesterday, here is a new cross-disciplinary approach to determine how…
> OpenAI estimates that Codex (what powers Github’s Copilot) can already complete 37% of coding tasks. This makes me a bit suspicious of the article. Obviously this is just one developers experience now. I've been using Copilot for the last month, and it's an awesome bit of tech. But generally speaking, when I let it write a blob of code: * There's a 50/50 chance it'll even compile * It's always, _always_ wrong in so…
It’s not expensive to check for syntax correctness, so it’s matter of time till they introduce it.