Hello everyone, this is Aditya Adiga. I have been part of the “Autostructures project” at AISC 10 and have continued to work on this research at Groundless AI.

I have been building a tool that allows users to mark and port insights or ideas that arise in research conversations into personalised, context-sensitive formalisms. In this post, I want to discuss how this tool works, why it matters, and how cool it is!

Acknowledgements

This work emerged from the AISC Autostructures project hosted by Sahil and Murray, building on Sahil's foundational work on Live Theory. The core ideas were developed in early conversations with Jayson and Sahil, with Djordje and Peter contributing during the initial prototyping stages. Throughout this journey, I've been fortunate to work closely with Sahil, Aditya Prasad, Matt, and Harshit, whose support has been invaluable. My regular discussions with Jayson, Kuil, and Aayush have been essential in navigating this research agenda together.

Many others have shaped this work through their feedback: Abram Demski, TJ, Keith, Murray, Alexandre, Sofi, and others who engaged when I presented publicly, as well as everyone who tested the prototype at the AI Alignment retreat in Ooty and the PIBBSS retreat. The broader communities at AISC, Groundless AI/High Actuation Spaces, Portal, and AI Safety India have provided crucial perspectives, and I thank all who reviewed drafts, especially Aditya, Matt, Sahil, Jayson, Kuil, Aayush, Surabhi, Poorvi, Vatsal, and Alexandre.

I'm grateful to Vatsal and Aditya Prasad for first introducing me to AI safety.

AI Interaction: The Path to Utopia or Dystopia

Our interfaces to AI become our relationship with this technology. Doing this thoughtfully is therefore essential.

Before we jump into the tool, let’s try to understand the importance of building such tools and why it is important to have more human-centred interfaces for AI.

Currently, our interactions with AI, especially Large Language Models (LLMs), are typically transactional; users provide information along with a request and expect immediate responses. By treating these systems as sophisticated answering machines, we are training ourselves to be passive consumers of AI outputs rather than thoughtful participants in problem-solving. Even if you question and try to have a dialogue with AI before coming to some output, you are still passively consumi...

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