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GitHub Copilot

copilot.github.com

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Re: GitHub Copilot

#991

Post by [deleted] »

natfriedman wrote: post #345
stefanos82 wrote: post #197

Earlier quoted context omitted.

Lots of questions: - the generated code by AI belongs to me or GitHub? - under what license the generated code falls under? - if generated code becomes the reason for infringment, who gets the blame or legal action? - how can anyone prove the code was actually generated by Copilot and not the project owner? - if a project member does not agree with the usage of Copilot, what should we do as a team? - can Copilot copy…

In general: (1) training ML systems on public data is fair use (2) the output belongs to the operator, just like with a compiler. On the training question specifically, you can find OpenAI's position, as submitted to the USPTO here: https://www.uspto.gov/sites/default/files/documents/OpenAI_R... We expect that IP and AI will be an interesting policy discussion around the world in the coming years, and we're eager to…

[deleted]

Re: GitHub Copilot

#992

Post by deepnash »

natfriedman wrote: post #345
stefanos82 wrote: post #197

Earlier quoted context omitted.

Lots of questions: - the generated code by AI belongs to me or GitHub? - under what license the generated code falls under? - if generated code becomes the reason for infringment, who gets the blame or legal action? - how can anyone prove the code was actually generated by Copilot and not the project owner? - if a project member does not agree with the usage of Copilot, what should we do as a team? - can Copilot copy…

In general: (1) training ML systems on public data is fair use (2) the output belongs to the operator, just like with a compiler. On the training question specifically, you can find OpenAI's position, as submitted to the USPTO here: https://www.uspto.gov/sites/default/files/documents/OpenAI_R... We expect that IP and AI will be an interesting policy discussion around the world in the coming years, and we're eager to…

It is the end of copyright then. NNs are great at memorizing text. So I just train a large NN to memorize a repository and the code it outputs during "inferencing" is fair use ?

You can get past GPL, LGPL and other licenses this way. Microsoft can finally copy the linux kernel and get around GPL :-).

Re: GitHub Copilot

#993

Post by ydmitry »

Isn't this just search needed code snippet by some sentence? Will it reuse functions those are already exists in my codebase? Or just pure functions without dependencies?

Re: GitHub Copilot

#994

Post by Gronky »

jonas_kgomo wrote: post #93
natfriedman wrote: post #60

Hi HN, we've been building GitHub Copilot together with the incredibly talented team at OpenAI for the last year, and we're so excited to be able to show it off today. Hundreds of developers are using it every day internally, and the most common reaction has been the head exploding emoji. If the technical preview goes well, we'll plan to scale this up as a paid product at some point in the future.

This is obviously controversial, since we are thinking about how this could displace a large portion of developers. How do you see Copilot being more augmentative than disruptive to the developer ecosystem? Also, how you see it different from regular code completion tools like tabnine.

In just 2-3 years time DL algorithms will have as many synapses (parameters) as the human brain. The only thing needed to teach such algorithm to program better than us it to say to it that program needs to be faster, more secure and more user friendly (it's not impossible to teach this to DL alg.). This "tool" will make our work 90% easier in the next few years, so unless we have much more work to do we will earn much less and juniors will most likely be not needed anymore...

Re: GitHub Copilot

#995

Post by oalae5niMiel7qu »

FreeSpeech wrote: post #680
feross wrote: post #306

Earlier quoted context omitted.

I’ve also been using the Alpha for around two weeks. I'm impressed by how GitHub Copilot seems to know exactly what I want to type next. Sometimes it even suggests code I was about to look up, such as a snippet to pick a random hex color or completing an array with all the common image mime-types. Copilot is particularly helpful when working on React components where it makes eerily accurate predictions. I see techno…

Has anyone used Copilot with a more succinct language? It appears to only automate boilerplate and rudimentary patterns, which while useful in repetitive low signal to noise ratio languages like React or Java, sounds less appealing if you're writing Clojure.

Wait until it's time to maintain all this autogenerated code. It's going to be a nightmare.

Re: GitHub Copilot

#996

Post by CyberRabbi »

natfriedman wrote: post #107
Asmod4n wrote: post #89

Earlier quoted context omitted.

Might this end up putting GPL code into projects with an incompatible license?

It shouldn't do that, and we are taking steps to avoid reciting training data in the output: https://copilot.github.com/#faq-does-github-copilot-recite-c... https://docs.github.com/en/early-access/github/copilot/resea... In terms of the permissibility of training on public code, the jurisprudence here – broadly relied upon by the machine learning community – is that training ML models is fair use. We are certain this…

> training ML models is fair use

In what context? You are planning on commercializing Copilot and in that case the calculus on whether or not using copyright protected material for your own benefit changes drastically.

Re: GitHub Copilot

#998

Post by DaveVillamor »

It looks really interesting, but I already lost hope of trying it, and that applies in the first days before the boom: C if there is someone from the Copilot team it would be incredible to try this tool my github is github.com/DaveVillamor <3

Re: GitHub Copilot

#999

Post by c0dezer019 »

thu2111 wrote: post #906
FreeSpeech wrote: post #680

Earlier quoted context omitted.

Has anyone used Copilot with a more succinct language? It appears to only automate boilerplate and rudimentary patterns, which while useful in repetitive low signal to noise ratio languages like React or Java, sounds less appealing if you're writing Clojure.

I've not used Copilot but I've experimented with two other AI driven autocompletion engines in Java and Kotlin. In both cases I uninstalled the plugins due to a combination of two problems: 1. The AI suggestions were often less helpful than the type driven IDE autocompletions (using IntelliJ). 2. The AI plugins were very aggressive in pushing their completions to the top of the suggestions list, even when they were s…

I'd recommend TabNine, it is extremely helpful. I tried Kite once, and it is WAY overrated. So slow that by the time it provided me suggestions I was only a few characters away from finishing. Tabnine has saved me hours.

Re: GitHub Copilot

#1000

Post by Breza »

oalae5niMiel7qu wrote: post #995
FreeSpeech wrote: post #680

Earlier quoted context omitted.

Has anyone used Copilot with a more succinct language? It appears to only automate boilerplate and rudimentary patterns, which while useful in repetitive low signal to noise ratio languages like React or Java, sounds less appealing if you're writing Clojure.

Wait until it's time to maintain all this autogenerated code. It's going to be a nightmare.

Don't worry, the most common bug fixes will become part of the suggested code, so when you start writing patches, Copilot will have great suggestions. And then when you have to fix the new bugs, same deal.
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