Building on HF
·
AI & ML interests
AI research engineer & solo operator of VANTA Research/Quanta Intellect
Recent Activity
reacted to fffiloni's post with ❤️ about 18 hours ago I’ve been reading “What if AI systems weren’t chatbots?”
https://huggingface.co/papers/2605.07896 👀
The paper asks a simple but important question: what if the chatbot interface is not just a neutral wrapper around AI models, but part of the problem?
A chatbot can make a system feel more capable, more certain, and more “human” than it really is. That matters, because interfaces shape how we trust, use, and delegate to AI systems.
When everything becomes: ask → answer
we can lose sight of the actual workflow:
- parameters
- alternatives
- uncertainty
- intermediate steps
- failure modes
- human control
For creative AI especially — image, video, editing, animation — I’m not sure “chat” should always be the default interface.
Sometimes we need a conversation.
But often we need a canvas, a timeline, sliders, masks, previews, comparisons, and visible pipelines.
This is also why I find many open ML demos interesting: Spaces, Gradio apps, visual tools, small focused interfaces.
They often explore another direction — not just better assistants, but better tools. 🤗 repliedto fffiloni's post about 18 hours ago I’ve been reading “What if AI systems weren’t chatbots?”
https://huggingface.co/papers/2605.07896 👀
The paper asks a simple but important question: what if the chatbot interface is not just a neutral wrapper around AI models, but part of the problem?
A chatbot can make a system feel more capable, more certain, and more “human” than it really is. That matters, because interfaces shape how we trust, use, and delegate to AI systems.
When everything becomes: ask → answer
we can lose sight of the actual workflow:
- parameters
- alternatives
- uncertainty
- intermediate steps
- failure modes
- human control
For creative AI especially — image, video, editing, animation — I’m not sure “chat” should always be the default interface.
Sometimes we need a conversation.
But often we need a canvas, a timeline, sliders, masks, previews, comparisons, and visible pipelines.
This is also why I find many open ML demos interesting: Spaces, Gradio apps, visual tools, small focused interfaces.
They often explore another direction — not just better assistants, but better tools. 🤗 Organizations
