221–230 of 583 posts
Something is hilariously off here: Why should I pay $10 and be forced to use it by the end of the month, while I can pay $10 and have it last as long as I want? Their "API pricing" is exactly the same as that of providers: https://docs.github.com/en/copilot/reference/copilot-billing...
The problem is that people expect to get the output of 100 people with a $20 subscription by spawning multiple agents. This is unrealistic. I'm using 2 codex plus account and able to manage a repo with 265-300k lines of code.
The point is - if its the same or more expensive per month than a real human employee - why pay for AI ? Human retain knowledge, product knowledge, can pick up more work often for the same money. And having many of them means your business wont go down if provider suddenly bumps API pricing.
I liked copilot because I didn't have to think about tokens. I get hung up when having to think about the price of things, and its hard to think about the project at the same time I got to think about token usage like a gas bill. The usage system had its own issues, but having a set amount of requests was a very comfortable way to use a paid AI service.
Sounds like you're a candidate for a local model. It's kinda nice not caring what the token count means except as to compaction.
If I could run a local model comparable to even Sonnet 4.6 without shelling out $50K in hardware, I'd do it in a heartbeat. But all I have is a 32 GB of RAM and an old RTX 4080.
Or am I not up to speed? Are there decent coding models that can run on dev laptops? Not that that's what you were suggesting by recommending a local model, necessarily; just curious.
And then they have the gall to say
> "The bottom line: Plan prices aren’t changing"
If anyone lives in a place like Germany or Australia and has an annual sub, please take them to court, you're guaranteed to win because you have reasonable consumer protections and their ToS doesn't stand a chance. 9x reduction is unreasonable and the consumer cannot be expected to see this coming.
In case some diehard enshittifier believes that consumers should know better and businesses should be allowed to get away with it, where is the line? 99% reduction? Is that still okay?
If this situation is to be acceptable then it should be regulated as a financial product like stocks, which come with knowledge tests of "do you know you can lose all of your money?". And come with regulatory compliance and all that.
Earlier quoted context omitted.
To anybody who's been watching the tech sector with a critical eye for pretty much any period from the late 90s and onward, this is just the enshittification process. For most of OpenAI's existence it's been obvious, to me, that investors were burning insane levels of capital to build the market, and now that folks are locked in, you're seeing higher fees, ads, etc. Yet again, the user is the product; the investors w…
“Enshitification” is just when unsustainable subsidies end? Another reason to hate that word. From a different perspective, you were granted an incredible gift from the companies who let you use their product on their dime. Hopefully you made the most of it when you had the opportunity.
"Plan prices aren’t changing.” Isn't this like saying "The Porsche you rented at $200/mo is now a Honda. But the price hasn't changed!"
This may be a more accurate analogy... "The Porsche you rented at $200/mo now only allows you a maximum of 100km of travel. You will be automatically charged extra when you go over that."
* with a quota of 138 meters per hour, overage charges may apply
Earlier quoted context omitted.
Doesn't GitHub get volume discounting they can pass on to their Copilot customers?
Economics of scale don't work when scale still isn't enough and capacity is still limited. GitHub has the full power of Azure with their hosted models but it's not being passed to consumers.
Well. Just got an email from GitHub saying they'll be raising prices for Co Pilot. "To keep up with the way you use Copilot, we're transitioning to usage-based billing, and we want to give you enough time to prepare." Man, it was fun. Having my tokens subsidized by Microsoft. If the prices go up to much I guess I'll try Deepseek again.
It's amazing how much I was able to build for $40/mo- something that would have taken a team of 100 twice the time just a few years ago. Will always be grateful for the greed of trillion dollar corporations that subsidized me.
I was curious why a company would still use the VS Code + Copilot sidebar method for coding, rather than something like Claude Code. Turns out there’s a GitHub Copilot CLI! I thought I was pretty familiar with available options, but no one in my circles ever mentions this product. It doesn’t seem to have much mindshare. Has anyone used it? What’s your experience? https://github.com/features/copilot/cli
Which feels a bit like a kick in the pants for me as a developer that was primarily using Copilot for VS Code ghost text and very rarely used the Chat sidebar much less "agentic" tools.
Copilot Pro sort of made sense for my personal account when amortized across a year, but I don't want to "waste" $10/month on credits I won't use most months.
I don't use Copilot or any paid AI but all of this usage-based billing reminds me of cellphones back when you paid per individual text message. Usage paying for AI is 1000x crazier because you're not even getting a guarantee in the thing you pay for in the end. You have to keep feeding it prompts and hope it gives you the solution you want. You may end up with no expected result yet you are paying for it. At least wi…
That's already the case if you can self-host an LLM; you don't even need a mythical H200: gamer-grade GeForce cards can get you a long way there (if this page is to be believed: https://www.runpod.io/gpu-compare/rtx-5090-vs-h200 )
...after RAM prices return to normalcy, of course - and then wait another 2 or 3 generations of GPU development for a 96GB HBM card to hit the streets - and also assuming SotA or cloud-only LLMs don't experience lifestyle-inflation, but I assume they must, because OpenAI/Anthropic/Etc's business-model depends on people paying them to access them, so it's in their interests to make it as difficult as possible to run them locally.
Give it 5 years from now and reassess.