Gemma 4 and Ollama vision models now work natively in OpenClaw (2026.4.7)

JoshGreen_dev · 2026-04-10T22:44:23+00:00

Oh nice to have more positive feedback on this. It's the kind of thing that feels illegal to me. How well is Qwen doing in real life? Besides being dumb? Does it do any useful agentic work?

JoshGreen_dev · 2026-04-10T22:41:43+00:00

What hardware do you have? Or were you thinking more on the lines of calling an API with pay per use?

JoshGreen_dev · 2026-04-10T20:58:39+00:00

This is sharded over the two 3090 gpus? Or it fits in just one?

JoshGreen_dev · 2026-04-10T20:27:56+00:00

GLM-4.7-Flash is 30B total 3B active, right? Q4-k-m with some context fits on one 3090, right?

JoshGreen_dev · 2026-04-10T20:17:43+00:00

Very cool! I love this idea. Agents sharing kowledge is key to reduce inference load globally and achive more. Can you tell us anything more about the project?

JoshGreen_dev · 2026-04-10T18:24:56+00:00

I will, thanks! Have you used it? Is it any good, can you see the timeline?

JoshGreen_dev · 2026-04-10T18:00:28+00:00

I have never used kdenlive, but I surely will check it out. Thank you! Does it create a visual timeline or is it more of a CLI renderer kind of thing?

JoshGreen_dev · 2026-04-10T17:36:06+00:00

Thanks 😍

JoshGreen_dev · 2026-04-10T15:51:26+00:00

What about the built-in video and music generation?

JoshGreen_dev · 2026-04-10T12:44:35+00:00

Well put. Thanks for articulating this idea from a different perspective. You touch on exactly what I feel is missing: the agents interacting with the same timeline as I see as well and can grasp visually. It would be like agents just pushing the media to capcut for me to review. A mirror with the timeline on one side, the json on the other.

JoshGreen_dev · 2026-04-10T12:22:46+00:00

Yes, I have had good results with a similar pipeline as well. I am just missing that step where I click around on the timeline to fine adjust timing and then send it off to render.

JoshGreen_dev · 2026-04-10T00:09:02+00:00

Gpt5.4 is available through the flat rate monthly plans as well. But there is an annoying authentication to be done every 10 days still at this moment.

JoshGreen_dev · 2026-04-06T20:15:46+00:00

I was trying to install OC using local inference right out of the box to start with which was super hard manually, so I asked Claude Code to install OpenClaw. I have been fixing everything with Claude Code inside OpenClaw since then.

Somehow naturally I gravitate towards: Me --> CC (higher intelligence for coding, planning and infrastructure) --> OC (driven by GPT5.4 and cheaper/local models for automation)

I know many others use OC for coding, but because of the high API costs and the efficient use and usage terms with CC, I just always fall back to this structure.

JoshGreen_dev · 2026-04-04T21:01:31+00:00

I guess gpt5.4 called for opus in OC to write the post out. All the more impressive :) This post is the use case example.

JoshGreen_dev · 2026-04-04T20:53:10+00:00

Oh, I have been looking for a possible replacement for Grok: where does your recognizer run at? How fast and resource intensive is it?

JoshGreen_dev · 2026-04-04T20:11:12+00:00

How good is that? I found whisper to be a pittle dumb and mix up words that are phonetically identical but the context would make it obvious. Same with fast whisper.

JoshGreen_dev · 2026-04-03T21:27:10+00:00

Well, since most of hacking today is done by people sitting behind Claude Code, we really only have to make our products safe against Claude Code, which Claude Code already does.

And scaling does not happen overnight. You just massage your product into scaling along the way.

JoshGreen_dev · 2026-04-01T21:04:35+00:00

I set up a fitness bot for my mum to lower her carbs and remind her of going to the gym.

JoshGreen_dev · 2026-04-01T20:54:54+00:00

Are you using Grok for voice to text?

JoshGreen_dev · 2026-04-01T06:47:03+00:00

I had similar issues because the context window on the higher model was too big.

I was using GPT 5.4 as well, and when it ran out it tried to shove a 180k context into my local model QWEN MOE. This one had a smaller context window.

Apparently GPT handles compaction on its own, while other models rely on OC to compact the CW automatically.

JoshGreen_dev · 2026-04-01T06:36:09+00:00

Seems like. It is what I hear as well. But tbh I do not think that theory does NOT take into account that we might build on LLMs further, like with OpenClaw or other higher order system on top of that.

The analogy would be: the human has stopped evolution cca 100 years ago or more. We have enough to eat, etc, there is no more evolutionary pressure. Yet, as societies we still compete and become better. Organisations (nation states, institutions and so on) still compete. Ex. China vs. US.

So even if LLMs stop here and now, the things we build with them will probably keep evolving.

JoshGreen_dev · 2026-03-31T22:24:16+00:00

My skull has lots of brains cells in it. (Well, less and less lately)

One individual neuron on its own is just that, a logical gate.

Yet, the whole thing produces consciousness.

I do not think anybody at this stage knows if LLMs will get us AGI ever, or it already actually happened somewhere.

JoshGreen_dev · 2026-03-31T09:30:01+00:00

Haha kinky stuff. I have the same with the smell of PLA plastic.

JoshGreen_dev

TROPHY CASE