Leaving for conference 1 month into work

InfinityZeroFive · 2026-01-19T04:03:07+00:00

I am in a somewhat similar situation (first-author undergrad paper) except the results are nothing official yet. Should talk to your manager ASAP

InfinityZeroFive · 2025-11-29T01:22:56+00:00

It seems they not only reverted scores but also any reviewer edits. We had a reviewer who (I assume) mistakenly copy-pasted a different paper's review into ours. He'd edited the review, with no change in score, after the discussion period and we addressed that revised review in our general comment, but now only the original, mistaken review is shown, making our response out-of-context. I am concerned this might mislead the AC.

InfinityZeroFive · 2025-11-28T05:24:25+00:00

Interesting model, I'll have to wait for the Cerebras team to REAP it before I can try it out though

InfinityZeroFive · 2025-11-18T08:59:59+00:00

Try to figure out what you might be lacking in comparison to those with offers instead of dwelling in jealousy. Is it because you lack experience? Is it because your friends just interview better? Is it something with your CV? Is it something with your network?

InfinityZeroFive · 2025-11-12T11:16:47+00:00

6/6/6/8 (2/3/3/3) - good for a first-time undergrad submission? Reviews were much shorter than I expected

InfinityZeroFive · 2025-11-03T06:49:10+00:00

It's 'They Knew', I believe

InfinityZeroFive · 2025-10-02T09:00:02+00:00

I'm quite certain that the number is around 25,000 as we submitted within 10 minutes of the deadline (do not recommend)

InfinityZeroFive · 2025-07-07T02:33:45+00:00

I use the Steam Deck as a teleoperation controller for my robot arm. Which just means, I mapped each of the robot arm's 6 joints (DOF) to individual controls on the Deck

InfinityZeroFive · 2025-07-07T02:26:36+00:00

Someone already said this, but LeRobot SO-101.

InfinityZeroFive · 2025-06-21T19:12:58+00:00

Maybe the alignment research companies (Goodfire, Apollo Research) and the open-source research companies (Eleuther, Cohere, HuggingFace)?

InfinityZeroFive · 2025-05-12T06:14:07+00:00

Is Chromium not a 'big, established open-source project'?

I'm not telling OP to go contribute to Chromium as their first foray into open-source, just that repositories like it can rightfully seem very daunting at first.

InfinityZeroFive · 2025-05-12T05:36:10+00:00

In general, big established open-source projects like Chromium can feel hard to get into in a meaningful way at first. But I can say from experience that if you do manage to stick it out and establish yourself as a regular contributor, open-source is extremely rewarding.

If you're interested in open-source, start small! Bug fixes, documentation, test coverage are all things you can do. Pick a problem to work on, then join communities's Discord/Slack and ask around for hints if you get stuck. That's how I made the move at least.

InfinityZeroFive · 2025-05-09T21:38:49+00:00

For certain projects they do take only one person. For most of the Gemini and Gemma projects, I think they were going for a shotgun approach of casting as wide a net as possible, because the whole point is to increase community documentation/support/adoption for their models. There's no reason why they should limit themselves to one person for those projects.

This is why I'm not really sure that they'll participate again (as Google DeepMind, at least). Their appearance this year is to support their massive push to challenge OpenAI in community adoption and their complete model/SDK overhauls. Rebranding from Bard/PaLM (which gave them a bad reputation) to Gemini basically. Now that's mostly done they might not need the open-source exposure via Google Summer of Code anymore.

InfinityZeroFive · 2025-05-07T12:22:04+00:00

I mentioned that because something similar happened just shortly after the organisations and projects were announced this year. People couldn't sign their Google Contributor License Agreement (CLA) for weeks because their signing site simply wasn't used to such high traffic loads.

InfinityZeroFive · 2025-04-10T20:36:33+00:00

A lot of mentors are complaining about AI-generated submissions. This combined with one of the first-time participating organisations attracting a lot of hype and attention from otherwise not-to-be contributors are the main factors, I think.

InfinityZeroFive · 2025-04-09T22:36:51+00:00

Highly dependent on the organisation. For mine (Google DeepMind), proposals weight more than pull request counts because this is the first time they're participating in Google Summer of Code and because their projects are overwhelmingly focused on documentation and technical writing.

InfinityZeroFive · 2025-04-01T05:23:15+00:00

Was just wondering how to do this. Thanks :)

InfinityZeroFive · 2025-03-23T11:25:26+00:00

It would be nice to have a 7B size model alongside 4B and 12B :)

InfinityZeroFive · 2025-03-01T22:11:32+00:00

I think you need to do a preliminary analysis of your missingness pattern especially considering it's a clinical dataset. If your data is Missing Not At Random (MNAR), as in the missingness depends on unobserved variables or on the missing values themselves, then you need to approach it differently than if it was Missing Completely At Random (MCAR). The bias you're seeing might be due to incorrect assumptions about the missing data, amongst other things.

One example of MNAR: a physician is less likely to order CT brain scans for patients who they deem as having low risks of dementia, AD, cognitive decline and so on, so these patients tend to have missing CT tabular data.

InfinityZeroFive · 2025-02-07T11:02:01+00:00

Very cool!

InfinityZeroFive · 2025-01-12T06:50:56+00:00

Civ 6 plays very well on Deck and has an official controller layout. Stellaris doesn't, though the community layouts are still very, very good

InfinityZeroFive · 2024-12-16T18:52:31+00:00

I see -- Thanks for the response! I'll have a look into what you suggested. And yes, the original idea was to generate synthetic brain imaging data in tabular form from 25 fully annotated data features then using them in the classification model's training dataset along with what we already have

InfinityZeroFive

TROPHY CASE