Jean Louis

Any bread out of it?

https://gnu.support/files/tmp/clipboard-2026-01-31-14-51-12.html

Projects that frame AI agents as autonomous entities holding 'discussions' about humanity are more of a public relations spectacle than genuine scientific progress. They risk misleading the public by anthropomorphizing technology, fostering misconceptions about AI's current capabilities and intelligence.

The real promise of multi-agent systems lies not in creating simulated social dramas, but in deploying them as sophisticated tools to address pressing human challenges. We should prioritize building agents that coordinate to monitor deforestation, optimize emergency aid delivery, expand access to legal resources, or personalize education.

Let's redirect this energy and funding toward applications with tangible, measurable benefits for society. Innovation should be judged by its utility to people, not by its skill at generating misleading narratives.

How does it compare against Nemotron-Nano-3-30B-A3B?

I think we heard of recursive self improvement recently in some papers.

Thanks for fine-tunning. Any practical results and reports to see the differences?

Don't you verify your LLM descriptions before posting?

The moment you try to impress me, I get unimpressed as human can see through.

I am not computer, you are publishing for human.

That is why it isn't moving, it is recognized as not being special.

Anyway, I can't be using proprietary models.

That's genuinely a cool and impressive technical project, no doubt—hooking up Gemma and CLIP to get multimodal capabilities is a real engineering feat. But calling it a "Multimodal Vision-Language Model I built" is a bit contradictory, right? You didn't build Gemma (that's Google) or CLIP (that's OpenAI). You built the pipeline or the adapter system that connects them. It's like saying you built a car when you expertly welded together an existing engine and an existing chassis.

And it is not free software approved.