Cover Image for HackOS 2: ARC-AGI Build Blitz
Cover Image for HackOS 2: ARC-AGI Build Blitz
41 Went

HackOS 2: ARC-AGI Build Blitz

Hosted by akira yoshiyama
Registration
Past Event
Welcome! To join the event, please register below.
About Event

HackOS 2 is sponsored by Rootly (YC S21)! Learn more about Rootly in the sponsor section below.


​​Welcome! What is HackOS?

​​A student-run series of hackathons to collectively create models to beat benchmarks for open access research topics, hosted at the University of Waterloo and McGill.

Who can join?

​​This hackathon is geared towards students, researchers, and recent grads. We welcome participants of all skill levels, whether you're writing code for the first time or a seasoned developer.

​What is happening?

We're going to do our best to score as high as possible on the ARC-AGI benchmark (see the ARC Prize). ARC-AGI measures skill acquisition and, arguably, Artificial General Intelligence. Do whatever you can to beat the benchmark! This is an unsolved problem.

You can hack solo or as a team, and use pre-existing work for this hackathon!

We will provide code to help use the dataset.

​After the build blitz, those who want can contribute their models/code to a collaborative paper (a cookbook of ideas for ARC-AGI) which we'll post to Arxiv and potentially submit to the ARC Prize.

​Tentative Schedule

​Saturday, Nov. 9, 2024:

  • 9:00 AM: Doors Open​

  • 9:30 AM: Opening Ceremony

  • ​12:00 PM: Lunch

  • 2:30 PM: Q&A with Mike Knoop (Co-founder Zapier, ARC Prize)

  • ​6:00 PM: Supper

  • ​8:00 PM: Demos

  • ​9:00 PM: Wrap up

Location

We'll be hacking in MC 2037, the Velocity Dungeon - arguably the only nice room in MC.

About Rootly, our sponsor

​​Rootly (YC S21) is a fast-growing Canadian startup trusted by industry leaders like NVIDIA, LinkedIn, and Wealthsimple to supercharge their on-call and incident response. Our platform seamlessly integrates with your entire tech stack and leverages AI to help SREs and DevOps teams resolve issues faster, reduce downtime, and prevent repeat incidents. Our goal with AI is to fundamentally help companies tackle incidents more efficiently and ensure they don’t happen again.

Location
Mathematics and Computer
University of, Mathematics and Computer, 200 University Ave W, Waterloo, ON N2L 3G1, Canada
Velocity Dungeon (MC 2037)
41 Went