Giving AI Agents Eyes, and the Ability Make Tools
AI is skyrocketing but not all capabilities are progressing at the same pace.
Large language models are evolving from text generators into proactive "agents" that plan and act, but visual reasoning has lagged behind.
The core problem addressed in the paper PyVision: Agentic Vision with Dynamic Tooling is how to empower multimodal LLMs, models that handle both text and images, to tackle complex visual tasks without being handcuffed by rigid, pre-defined tools or workflows.
This is, in part, about giving AI eyes.
But this is about more than that: it’s about giving AI agents the “gift of sight” and the ability to fashion novel tools.
When you go into the world, do you bring every thing you could POSSIBLY need.. or do you bring the key items (wallet, keys, puppy) and then rely on your ability to buy/build/barter for whatever you need “out there”?
In AI today, we are trying to give our agents explicit tools vs the ability to fashion tools.
That’s a mistake. The paper resolves the solution. It shows how to give a strong sense of vision and tool-making capability to AI Agents.