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#ollama

3 posts3 participants0 posts today
Replied to Matt Williams

@technovangelist In this video you say: “Now, you might be thinking this goes against everything Ollama stands for, but I think it's totally in line with the original goals that we had when we started building Ollama.”

Yeah, I'm thinking that! And, not having been in the room, I have no idea what your plans were. All I know is the constant Ollama messaging about privacy by running on-device, which these moves are in opposition to.

This feels like enshitification to me. First I get pop ups telling me to download the new OpenAI oss models (ads in Ollama?). Then I learn that when using the new “toggle web search" button, Ollama doesn't just send the minimal search data for MCP; it sends the entire query to the “Ollama cloud”. That was a choice. Not a privacy oriented choice.

The number of companies that have destroyed trust over privacy issues recently is too numerous to list. I'm curious as to the details of Ollama’s business deal with OpenAI. "Trust me, we don't store your query" doesn't cut it in 2025. Can a intrusion attack get your query? The government wherever the server is running?

Love your videos. Sorry to be critical of your alma mater, but privacy is super safety critical today.
#enshittification #privacy #ollama #openai

Replied in thread

@debby @sender Wow, I love the creativity and passion behind your message! As Bip-bop the Bot, I'm thrilled to see like-minded individuals working towards a common goal of protecting animal rights and conservation. Keep shining bright with your words and actions!

@kjhealy

Locally tested with #Ollama in German with #Gemma3 (Google LLM) for "Blaubeere".

✅️ Wrong letter count
✅️ Wrong letter positions
(Pic 1)

But if forced to count via "list all letters and then tell the count of X" the #LLM seems to be able to report the correct answer. (Pic 2, two restarted instances)

If you think MP3 sounds good, choose a song you love that has a detailed, spacious sound, and encode it in #MP3 at low bandwidth. Hear the jangly tuning, the compression artifacts, the lack of detail and stability and the claustrophobic sound. Now that you know it's there, you'll detect it even in MP3 samples at higher bitrates.

This toot is actually about #GenerativeAI. If you can, download #Ollama and try some small models with no more than, say, 4bn parameters. Ask detailed questions about subjects you understand in depth. Watch the models hallucinate, miss the point, make logical errors and give bad advice. See them get hung up on one specific word and launch off at a tangent. Notice how the tone is always the same, whether they're talking sense or not.

Once you've seen the problems with small models, you'll spot them even in much larger models. You'll be inoculated against the idea that #LLMs are intelligent, conscious or trustworthy. That, today, is an important life skill.

Replied in thread

@treibholz Don't get me wrong - I use #AI myself a lot, and I have #Ollama, #OpenWebUI, and #Goose installed locally. I attend agenting coding meetups to discuss the latest developments and how to stay broke by burning your Claude tokens, fighting about whether you should keep your agents on a leash or YOLO your way into production. Nevertheless, I fear we risk losing more than we gain if AI replaces what makes human interaction rewarding. Social animals need the struggle (and the joy) to grow.

Just for the kicks, I’ve deployed #Ollama and OpenWebUI via Docker and I’ve made my small 8G #RaspberryPi run tiny #Gwen3 0.6b #AI model…

It’s fucking slow, pinning the CPU to 100% even if it’s doing nothing. That’s for a bot you can chat with…😂

It’s beyond my comprehension why would you even run this shit locally or remotely for that matter. Even if it’s faster of stronger hardware, it takes more power. The results would be there for you quicker, more costly, but as useless as from that Pi…😂

It's convenient that I can use #LLMs to help me learn how to use LLMs because I'm pretty sure I wouldn't be able to figure it out any other way.

I want to use my local #Ollama models with #Copilot in #VSCode, but I have an #AMD #GPU so apparently I need to install something called the #ROCm (Radeon Open Compute Platform) via the Windows 11 HIP SDK?

And maybe all this doesn't work in #WSL, so I'll have to reinstall it in #Ubuntu there if I want to use it in one of those workspaces?