@mylifcc: The ceiling of Auto-Research infrastructure has arrived! Yacine's 1.5-hour in-depth interview with the two founders of Paradigma, hardcore breakdown of how DAG becomes the underlying infrastructure for autonomous research: • Why DAG is the best substrate for research (far beyond linear papers) • Ag…
Summary
Yacine conducted a 1.5-hour in-depth interview with the founders of Paradigma, discussing how to use DAG (Directed Acyclic Graph) as the underlying infrastructure for autonomous research, covering core topics such as Agent operation, building large-scale public DAGs, and avoiding bad DAGs.
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Auto-Research infrastructure ceiling is here! Yacine’s 1.5-hour deep-dive interview with Paradigma’s two founders, a thorough breakdown of how DAG becomes the foundational infrastructure for autonomous research:
- Why DAG is the best substrate for research (far beyond linear papers)
- How agents efficiently run on DAG + automatic flywheel
- Ways to build large public research DAGs
- How to validate & avoid bad bad DAG (core pain points)
- How knowledge is shared between experiments, human roles, hallucination handling, token consumption…
- Plus real Auto-Research Agent results showcase + large DAG visualization
From “important findings per joules” to DAG replacing pre-prints, this wave directly pushes autonomous research from idea to deployable infrastructure!
Anyone interested in AI Agent-driven research or autonomous discovery systems — must watch! (Full timestamps with a crystal-clear table of contents, 1h30min packed to the brim)
Yacine Mahdid (@yacinelearning):
if you are interested in learning about the infra behind auto-research this 1h30min interview with the paradigma folks is for youin it we look at:
- why dag are great research substrate
- how to let agents run that dag
- ways to make big public dag
- how to avoid bad bad dag
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