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GitHub Copilot loses an average of $20 per user per month

thurrott.com

21–30 of 214 posts

Re: GitHub Copilot loses an average of $20 per user per month

#21
post #16

Does anyone know vscode extension that can use OpenAI API to perform code completions like Copilot? There are several ChatGPT-like UIs that you can self host and pay only for API and not for ChatGPT plus. For example, I'm using https://github.com/Yidadaa/ChatGPT-Next-Web . It would be nice to use Copilot in the same way.

In my own testing, Copilot has much better suggestions compared to GPT-4

Re: GitHub Copilot loses an average of $20 per user per month

#22

I feel like the centralisation of server resources for something like copilot doesn’t really make sense. Many (most) professional developers are working on beefy laptops. If ever there were a case to run these models client side, a software developer’s laptop is probably the ideal place. What are the specs that are needed to run inference on these models?

There's a huge range of CPU and memory requirements to run these models. The lower end of the range can be run locally but performance is noticeably worse. I'm guessing this will change as more people are looking at efficiency now. Specialized hardware like Apple's Neural Engine on the MacBook Pro may also help.

Re: GitHub Copilot loses an average of $20 per user per month

#23
post #6

Copilot is useless compared to chat-gpt4. There's really no comparison. As far as the costs, it seems like transmitting things repeatedly would be more expensive than the chat model where you just transmit things when you want them.

Constant transmission is what makes it so useful, though

Re: GitHub Copilot loses an average of $20 per user per month

#24

The moment I can train Copilot on my codebase and improve its predictions, I’d gladly pay more than $20. Even now, I find that I can’t live without it simply as a slightly more intelligent auto-complete.

I've used some prototypes that tried it. One of the things it does it regurgitate the old patterns you want to stop using and not the new stuff you do. Basically it's a copy pasta tech debt generator.

That's a problem with all LLMs. They will average what they are trained on, without any reflection what is good and what is not. They shouldn't be called intelligent (AI), they're information meatgrinders.

Re: GitHub Copilot loses an average of $20 per user per month

#25
post #10

How came that usually privacy-minded hn crowd uses run-by-someone-else models so cheerfully and carelessly? You do realize any data sent to MS/openai/anyone will be stored forever and probably be used against you in the (near) future?

Are you sure it's the same people? That said, even if it is, there's something to be said for intentionally sharing a constrained set of code vs using something that spies on you in real life.

Could be different sets of people actually!

However. It will eventually, chunk by chunk, upload the full source code of the app you are writing. Complete with all typos and mis-pastes. Like youtube blocks videos with just a hint of copyrighted music, they may be able to detect use of "patented" algos or something like that and block you/ send a lawyer/etc.

Re: GitHub Copilot loses an average of $20 per user per month

#27

The moment I can train Copilot on my codebase and improve its predictions, I’d gladly pay more than $20. Even now, I find that I can’t live without it simply as a slightly more intelligent auto-complete.

I would love for Copilot to receive lsp information together with the raw code, I think that could already provide it with enough context, especially in strongly typed codebases.

Re: GitHub Copilot loses an average of $20 per user per month

#28

The moment I can train Copilot on my codebase and improve its predictions, I’d gladly pay more than $20. Even now, I find that I can’t live without it simply as a slightly more intelligent auto-complete.

I have mixed feeling on this. On the one hand, sometimes it's able to guess correctly and save me a couple of seconds, up to half a minute I think. On the other hand, very often it's completely wrong, so I needed to constantly verify the suggestions and I found out it interrupted my flow and in the end I'd code faster without it.

Re: GitHub Copilot loses an average of $20 per user per month

#29

The moment I can train Copilot on my codebase and improve its predictions, I’d gladly pay more than $20. Even now, I find that I can’t live without it simply as a slightly more intelligent auto-complete.

I've used some prototypes that tried it. One of the things it does it regurgitate the old patterns you want to stop using and not the new stuff you do. Basically it's a copy pasta tech debt generator.

I've actually had the opposite happen to me several times - of trying to get Copilot to help me fix something I wrote that isn't quite working, and instead of giving me an alternative solution, it just returns my bad code.

Re: GitHub Copilot loses an average of $20 per user per month

#30

The article says Microsoft wants computers to one day have Neural Processing Units (NPU) like most have GPUs. If that led to faster suggestions for copilot, I'd be all for it. Right now, a GPU is an NPU. Does anyone how an NPU would differ from a graphics card?

GPUs are a SIMD architecture designed for 4x4 float32 matrix multiplications found in video games. But NPUs (like Googles NPU) are systolic arrays designed for 16x16 or even 256x256 float16 or even int8 matrix multiplications instead. ------- NVidia builds larger matrix multiplications out of the 4x4 float16 base that a SM is designed for. After all, a 8x8 matrix multiplication is just four of the smaller 4x4 matrix…

> After all, a 8x8 matrix multiplication is just four of the smaller 4x4 matrix multiplications

Isn't it 8 of them? That's why you can't go the other way around and use your 8x8 multiplier to efficiently multiply 4x4s in parallel.

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