601–610 of 1001 posts
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How many jobs have developers helped displace in business and industry? I don't think it's controversial that we become fair game for that same automation process we've been leading.
Indeed. It should be the goal of society to automate away as much work as possible. If there are perverse incentives working against this then we should correct them.
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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…
(1) training ML systems on public data is fair use This one is tricky considering that kNN is also a ML system.
I'm amazed to see how positive the overall response is to this idea. Almost as if programmers think that writing programs is the worst part of the job and ready to be automated away. As someone more aligned with the Dijkstra perspective, this seems to me like one of the single worst ideas I've ever seen in this domain. We already have IDEs and other tools leading to an increase in boilerplate and the acceptance of it…
I mean you say this, but you and most likely the majority of programmers rely on dozens of repositories, packages and libraries with likely zero deep understanding of it (and at the very least haven't read the source code of ) so I don't really understand the difference here. The advantage of something like this is that instead of having to go to stack overflow or any number of reference sites and copy pasta it can j…
I spend a probably half my coding time testing and digging into those libraries because I don't understand them and because they cause performance issues because nobody on the team understands them sufficiently to make their "high level design and abstract reasoning" accurate.
One problem with the current world of programming tools is that there's no good way to know which libraries are suitable for use when correctness and performance and reliability really matters, and which are only really meant for less rigorous projects.
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Few days back, Sam Altman tweeted this "Prediction: AI will cause the price of work that can happen in front of a computer to decrease much faster than the price of work that happens in the physical world. This is the opposite of what most people (including me) expected, and will have strange effects" And I was like yeah I gotta start preparing for next decade.
I am blown away but not scared for my job... yet. I suspect the AI is only as good as the training examples from Github. If so, then this AI will never generate novel algorithms. The AI is simply performing some really amazing pattern matching to suggest code based on other pieces of code. But over the coming decades AI could dominate coding. I now believe in my lifetime it will be possible for an AI to win almost al…
Then we shall be reaching singularity.
I'm amazed to see how positive the overall response is to this idea. Almost as if programmers think that writing programs is the worst part of the job and ready to be automated away. As someone more aligned with the Dijkstra perspective, this seems to me like one of the single worst ideas I've ever seen in this domain. We already have IDEs and other tools leading to an increase in boilerplate and the acceptance of it…
I assume companies that were fine with providing you functionality for free may think about this twice because with that they're giving away knowledge of how to build functionality.
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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…
https://breckyunits.com/the-intellectual-freedom-amendment.h...
Great achievements like this only hammer home the point more about how illogical copyright and patent laws are.
Ideas are always shared creations, by definition. If you have an “original idea”, all you really have is noise! If your idea means anything to anyone, then by definition it is built on other ideas, it is a shared creation.
We need to ditch the term “IP”, it’s a lie.
Hopefully we can do that before it’s too late.