They could raise prices, if capacity is problem

They can't increase capacity by raising prices. Right now they calculate that they're at an optimal revenue curve. Simply reducing demand by increasing prices doesn't mean they get more money. The limit is in the ability to buy hardware.

They did, but it was not well-received. Perhaps they want to try something different.

DeepSeek user here.

I very much prefer they don't raise prices.

Same here, they are still extremely cheap, though.

I found it appalling when working with remote setup — tabs disappearing and appearing after some time, screen hangs up, projects disappear. Tried to fix some issues with PR, but team is not accepting for 2w+.

Last time they have only shipped the model on web in mobile...

This got me mixed feelings. I don't support such campaigns. Still I would prefer my AI tool to behave more like a notepad app and less like a government or a corporate censor.

Ideally our government would regulate this, but our government is an absolute dumpster fire intent on destroying respect for America and gives no care for what’s best for its people.

So, you know, we gotta take what we can get

If there's a big centralized service that a lot of people use, there will always be the temptation to abuse it to influence those people.

QA of course. You hook up your agent with CDP access to live product + let it screenshot and look into result. Also you could hook agent with CDP access to Figma to read/write, there a vision model is very useful as well.

My product is connecting employers and workers with conversational agents. They love to communicate with images — CVs, documents, photos of worksites. Even CV-as-photo or offer-as-photo format is very popular. My daily driver Deepseek Flash can't see those photos. So I use image models to let agents understand the context.

but for OCR there are much better suited models, I use mlx-community/PaddleOCR-VL-8bit

Sometimes you intentionally want to verbatim keep "mistakes", sometimes you don't and want them to be "fixed". OCR-only models tend to only do one of those two, in VLM cases often the latter. With multi-modal LLMs you can just tell them (adherence of course needing evals/differs per model).

I would love to see a jamming partner. So I could play along him on the same piece.

> It does not seem very "viral"

love that Dropbox has became textbook example of viral marketing

> would be entirely useless to humans

why useless? humans can navigate these unsuccessful chains of thoughts to build on top of them or reject completely