auto-research is starting to gain traction as a very viable paradigm for creating useful research discovery.
now, that paradigm is still in its infancy and the infrastructure to hold all that trail of context as the agents blaze through experiments isn't well defined (to say the least).
on that topic, I had the chance to chat with my boys francesco and giulio from paradigma about what underlying infra is needed to make this paradigm work.
the paradigma's paradigm, which involves copious amount of DAGs, make this auto-research paradigm a paradigmatic case of essential infrastructure.
a few important links:
👉 learn more about Paradigma: https://paradigma.inc
👉 giulio twitter: https://x.com/thelokasiffers
👉 francesco twitter: https://x.com/tensorqt
Table of content:
- 0:00 - what is missing from auto-research?
- 2:02 - giulio and francesco ai journey
- 8:10 - research infra is the bottleneck?
- 10:18 - paradigma vision of autonomous research
- 13:17 - “important discovery per joules”
- 17:15 - why is DAG the unit of research for auto-research?
- 20:40 - is paradigma trying to replace the research publication?
- 24:50 - how does knowledge is shared between experiments in the DAG?
- 27:34 - what is even auto-research lol?
- 33:53 - the value of the human mind in this auto-research future.
- 37:00 - how do you reconcile hallucination in this auto-research paradigm?
- 41:33 - the adoption of auto-research across varied fields?
- 47:30 - ✨ introduction to the auto-research infrastructure. ✨
- 56:55 - where is the code?
- 59:10 - full IDE next?
- 1:03:20 - the place of the human in this DAG / code quality? manual node? token spent?
- 1:16:02 - who’s the user for auto-research?
- 1:18:13 - how to validate bad DAG?
- 1:20:18 - ✨ auto-research agent results ✨
- 1:22:53 - ✨ how a big research DAG looks like? ✨
- 1:25:10 - how to get the canonical DAG for the final result?
- 1:27:50 - the auto-research DAG being the new pre-print?
- 1:30:05 - what’s next for paradigma and the auto-research infra?
- 1:35:00 - what are they excited about research wise?
Papers & references to check out:
📌 join Paradigma's Discord: https://discord.gg/fsWzmzMBj4
📌 learn more about Paradigma: https://paradigma.inc
📌 and try out your ideas on Flywheel: https://flywheel.paradigma.inc
enjoy! 🌹
also folks if you are a beginner and want to get started with ai do consider checking out scrimba:
📌 learn to code from full-stack to AI with Scrimba https://scrimba.com/?via=yacineMahdid (extra 20% off pro with my link, great resource, I love the team)
great place to start if you are non-technical to be honest.
