Delightful tears. Thanks.
Why would anyone use Copilot when you have so many other options. Cursor just released Composer 2.5 and it's actually decent. I should have a job right now doing this.
Because subsidized plans can't be used at enterprise. Enterprise pays expensive api rates
From the enterprise admin of Copilot, Cursor & Claude....enterprise controls. ~~Microsoft~~ GitHub understands what companies need to run their products securely and successfully (at scale™).
/edit to add. Our Copilot bill went down due to change in billing type, mostly due to organization pooling of credits.
That just sounds like bad management, and a huge opportunity to cut costs by switching to Linux and something like cursor or other alternatives.
I don't think you understood my sentence, we (the company) already offer plenty of choices. In fact we offer OpenAI (Codex, ChatGPT) as well as Gemini. I just admin Cursor, Copilot and Claude (and at one time we offered Windsurf, but that didn't have enough users to rectify the costs/time spent administrating it). What I am trying to tell you is that the fairly new companies, OpenAI, Cursor, Anthropic/Claude absolutely suck at making their product usable by the enterprise while Gemini and Copilot completely understand enterprise needs/requirements.
We already have Linux laptops (with enterprise controls). /edit Apple machines are primarily used though. We even offer Windoze if you really need it! (Some folks do.)
The slop is now prohibitively expensive. Good.
Every single person who mentions using AI for anything- any reason at all- all I can do is imagine what face they would make if I spat in it.
Actually it can be a very useful tool, if you know what you're doing. Expensive in real terms, so only for tasks which are worth it. So perhaps not for making annoying cat videos.
rumbles throat
Said like someone who doesn’t understand that AI is a tool that can greatly improve your work life and productivity.
If I was you I’d do some research into it, especially around GitHub copilot, and get learning - or you’re going to be left behind. If you’re a dev then you are signing your careers death warrant by having that attitude.
If it is a sooo big productivity improvement just pay for it. Or maybe you mean it was a worthwhile productivity improvement when it was almost free?
People will, and are. Business licenses still get included usage amounts btw.
I wouldn't even like what I do if I had to use this shit.
Stanley Parable button pusher life for real.
between anthropic going ipo for cash and this, I think we're seeing the edge of the bubble
Push Chinese models. Deepseek, kimi, qwen etc.
No datacenters locally and local oligarchs won't have that much power over us. They won't be lobbying that much against humans if local oligarchs can't make money
I'm sorry, did everybody else not see this coming from miles away? This is the private equity playbook.
When something is too good to be true, you ALWAYS have to be ready to either jump ship, massively change how you do things, or pay through the nose.
Yeah - people are talking about replacing jobs with AI. As if it is not totally obvious that people like Sam Altman will totally bleed you dry after you fired all your workers. You will not save on your wage bill, you will simply give the money to Sam Altman
Wages are treated as an immediate operational cost, while AI is framed as a capital investment. This accounting distinction makes AI look like a long-term asset, whereas labor remains perpetually categorized as an expense.
Only if you are running your own servers. You dont get to depreciate a SaaS subscription or metered bill.
The angry devs from this article are idiots
I have some sympathy for these people, but some don't seem to realize that Microsoft is not going to be upset over them leaving. They are not valuable to Microsoft as users. If they are unable or unwilling to pay now, Microsoft wants them gone. They are being shown the door. Making a post about deleting your copilot+ subscription or whatever is like bragging about being kicked out of a nightclub.
I've been preaching this for the past couple of years. Everything up until now has been entirely about gaining market share, and AI will never be cheaper than it is right now, and it's not cheap.
Just look at the "earnings" for companies like openAI. They are 1000+% in the red. It's impossible for them to change their sales model enough to make that profitable. As more data centers go up, the operating costs are also going to go up.
I've been telling people that now is the best time in the past decade or more to learn how to code. There will be positions available in the coming years when the only junior devs available are vibe coders.
AI will absolutely be cheaper than it is now in the future, because you’ll actually be able to run it locally - look at the recently announced Nvidia powered Surface Ultra as an example of what’s coming.
Companies are trying to get their whole AI pipeline more efficient and “smaller” to reduce costs, because their costs to build and run data centres are astronomical. Where it will likely go is a subscription service to access their models that you run locally. Passes most of the cost on to consumers, and is recurring revenue which they all dream of.
I don't think there's a chance that happens either at the consumer level or mass adoption at the enterprise level. The estimated price of that nvidia surface ultra is expected to be around $3000. Only a handful of power users will pay that, and others may just buy it for the computer power. Right now for the basic user it's about $30 a month for basic AI plans. How many people that are willing to pay that do you think are willing to pay 100 years up front to then pay a subscription to then manage a local model?
Also, there are a lot of viable free models available right now that people can download for free. I have a recycled i5, 8gb ram machine that can run some basic models that are cable of doing 90% of the stuff the average person wants. My desktop with far better specs can run far more powerful models. The thing is, most people don't know these exist, and if they do they don't know how to set them up or are too intimidated to try.
That's just for consumers. Trying to host that at an enterprise level is much more difficult. Assuming the business has the tens of thousands of dollars of hardware to support 100s or thousands of users, configuring governance on LLMs and everything associated with enterprise management that is currently handled at the current companies will fall back on the business. That will probably require hiring specialist, or at least expanding the work force. If it takes 1 $3000, unreleased and untested laptop, imagine the cost to support a company, especially one doing software development.
Even with all of that, training the models isn't going to get cheaper. It's going to get more expensive as more data centers are built. Operating costs will go up, and unless these companies start charging upwards of 3k a month per user, they won't be profitable on AI alone. Obviously they are making money on other things like selling user data, but none the less, costs have to go up for even the notion of making money for these companies.
The unique thing about GitHub Copilot (and all the other vibe-coding tools) is that they're speed-running the playbook because this shit is not profitable. It can't be. Their costs scale up with usage, unlike every other business that can take advantage of economies of scale, so they've skipped the slow, steady enshittification phase and jumped directly into the "squeeze blood from this stone to keep the scam going a little longer" phase.
Local AI it is then. Not that I'm using all that much now anyway...
Where I work, Chinese models are banned due to legal concerns. Not just in production, on any company-owned machine. That basically eliminates all the decent open weight models. I’m imagining this type of policy will be more widespread. I suppose it’s because of the potential for legal woes if systems and people are dependent on these models and then federal or state laws impose harsh penalties with little time to react.
I meant for private use.
As for work, we do use AI quite a lot and I don't have a say over what's available.
To use one equivalent to Claude Opus, you need like 800GB GPU memory. The chips that will get you there run $20-30k a pop, and you’d need 4 or more of them.
That's the biggest baddest model out there. There are models that get you 90% of the way there with a significantly smaller parameter count and thanks to MoE offloading you don't need the entire model active at once.
A 5090 and a beefy CPU and tons of RAM won't be cheap or even affordable to most, but you could run very big models and have a beefy PC for other activities. But even a 16 GB card could do plenty.
Yeah, I'm aware. I have realistic expectations and I'm looking into running something simpler and less demanding.
can't do good business with bad people.
Oops. Now that users are being to made to pay something closer to the true cost of AI inference, no one will like using it anymore. Could this be what ultimately sets off the bubble *collapse?
You mean you guys don't rotate between 10 free accounts and use their monthly quotas?
Joke's on them, I never used it. Fuck AI.
The 2 remaining devs using Copilot will leave it.
It's rare to see such a clear example of first-mover disadvantage as GitHub Copilot.
This is a most excellent place for technology news and articles.
