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I will be curious to see if their subscription ever supports the ~3T open weights models announced this week.
- stop using ollama - https://sleepingrobots.com/dreams/stop-using-ollama/
I see a lot of these "don't use [insert product]" posts and it's normally always BS about how some exec at the company has the wrong political views or upset some community who was the product by taking it in a different direction from what they wanted. I think this is probably first time ever I read one of these and was convinced immediately that I should probably look into using something else.
Earlier quoted context omitted.
This post is empty of any relevant content. I wish HN would stop sharing drama-seeking posts, especially by anonymous authors, attacking the hard work of people. Are ollama's authors perfect? No, they are just humans. But many people find their work valuable and we should support Open Source. I can assure you that you won't like the world where nobody release Open Source projects anymore because of the constant negat…
Taking credit for other people's work while raising millions? Yeah, pretty bad and relevant.
The llama.cpp authorized ollama to do this... Unintentionally.
How did they raise that amount of money if they are so hated, I see only bad comments everywhere about ollama. Not a fan of them myself, but they played a good part in local ai since the beginning. The investors screw everything: Ollama announced an $88 million financing on July 9, 2026. The named participants were: Investment firms and organizations Benchmark — represented by Peter Fenton Theory Ventures — Tomasz Tu…
This is all lovely and I wish them the best. But please don't use ollama, or their quants. Not only is the app itself slower than pure llamacpp. But their quants are often no where near the best. I really hope people start with something like unsloth, as their software and quants are really much better all around.
I get that people here have reasons to hate on Ollama but it has two genuinely strong points: - it makes it very easy to use open models with a lot of harnesses and assistants via `ollama launch`; Their $20 subscription is very generous, and they claim not to log or train on your data. I will be curious to see if their subscription ever supports the ~3T open weights models announced this week.
The principle of running locally is that you’re not in the cloud.
>Today, we’re announcing that Ollama has raised money from VCs... Note to self, Enshittification ahead. Don't use any ollama services unless it's calling an industry standard api.
How did they raise that amount of money if they are so hated, I see only bad comments everywhere about ollama. Not a fan of them myself, but they played a good part in local ai since the beginning. The investors screw everything: Ollama announced an $88 million financing on July 9, 2026. The named participants were: Investment firms and organizations Benchmark — represented by Peter Fenton Theory Ventures — Tomasz Tu…
Since it pivoted, I imagine the story they are telling is the usage. But you can add to that Peter Fenton has had incredible success in commercial open source (Docker-ish, Elastic, JBoss, CockroachDB, TimeScaleDB, and if you include Benchmark there is Elastic, Confluent, etc.) so a bunch of these people are probably trying to ride the Peter Fenton/Benchmark train. My guess is that's what Theory is doing.
Investors are not free but they are very hype driven. There are 50% of the time I am wrong.
https://www.slashdata.co/post/global-developer-population-tr...
dont use Ollama. llamacpp is better in every way.