AI shouldn’t just answer you.It should work with you.
JhyapOS is an AI-native workspace built for research, creation, and the work that happens between the tools.
cs.CL · submitted 7 Nov
Compositional Grounding in Multimodal Reasoning Systems
Okafor, Lindqvist, Rao — 24 pages
3 Key Findings
- Grounding improves compositional accuracy by 18.4%
- Gains hold under distribution shift
- Effect disappears below 2B parameters
Methodology
- Contrastive pretraining, 3-stage ablation, n=12 benchmarks
Main Takeaways
- Scale is a precondition, not the mechanism
What if your AI didn’t live in a chat box?
JhyapOS
One organized workspace.
The researcher shouldn’t have to be the integration layer.
JhyapOS brings the tools, information, context, and AI together so you can focus on the work instead of constantly switching between it.
- Browser
- PDFs
- AI chat
- Terminal
- Notes
- Sheets
A workspace that understands what you’re doing.
The panes
Five surfaces, one context. Everything below is live markup, not a screenshot.
cs.CL · submitted 7 Nov
Compositional Grounding in Multimodal Reasoning Systems
Okafor, Lindqvist, Rao — 24 pages
3 Key Findings
- Grounding improves compositional accuracy by 18.4%
- Gains hold under distribution shift
- Effect disappears below 2B parameters
Methodology
- Contrastive pretraining, 3-stage ablation, n=12 benchmarks
Main Takeaways
- Scale is a precondition, not the mechanism
Scanning references
I found 4 papers related to this methodology.
From paper to understanding.
Step 01
Drop a paper.
A PDF enters the workspace. Not an upload dialog — just the document, in place.
- Drop a paper.
- JhyapOS reads it.
- Understand the important parts.
- Keep researching.
- Connect the ideas.
- Turn research into work.
Tell JhyapOS what you need.
⏎
The interface is only the beginning.
You don’t need another AI chat.
You need a place for AI to work.
AI that works inside your workflow.
JhyapOS is being built toward a future where AI agents can work across the tools and context you already use — moving between a page, a shell, a document, and a canvas the way you do.
Status
The workspace, browser, terminal, summarizer, and canvas are what we’re building now. Agents that act across all of them are the direction — not a shipped feature. We’ll say so plainly as each part lands.
- Browser
- Terminal
- Documents
- Canvas
One agent, one context, moving across surfaces instead of asking you to carry the state between them.
AI assistants
Answer questions.
JhyapOS
Creates an environment where humans and AI can work together.
- AI
- Browser
- Files
- Terminal
- Research
- Canvas
One workspace
We’re building JhyapOS with our earliest users.
Researchers, developers, and curious builders are helping shape what comes next.
The next workspace is being built
Welcome to JhyapOS.
Be one of the first to experience it.