Gautam Kamath

Gautam Kamath

@gautamkamath.com

Assistant Prof of CS at NYU Courant. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning. http://www.gautamkamath.com

4.5K followers343 following687 posts

Seen on the back of a Chinese book for children. Which ones don't belong? Gemini translates them as "100 Kinds of {Modern Weapons, Classic Firearms} that Interest Children."

Gautam Kamath reposted

Gautam Kamath reposted

Two people cold-emailed me today about an open problem I proposed at a conference in 2024. Both attached what is without any doubt the verbatim output of an AI model, asking for my feedback on it. tl;dr: this is not OK. I will answer your email, but I will not spend time if you yourself haven't.

Gautam Kamath reposted

As in previous years, TMLR will pause new submissions over the upcoming holiday period from November 30, 2026 at 11:59 PM to January 3, 2027 at 11:59 PM (AoE timezone for both). We will resume accepting new submissions on January 4, 2027. Happy Holidays!

Gautam Kamath reposted

this is absolutely nuts.

Gautam Kamath@gautamkamath.com

How do you tell if authors fabricated their research results? Sometimes: they just tell you. Read, e.g., this caption carefully. Another banger of a post by my friend Nihar B. Shah on his blog, where he found at least 20+ such #ICLR2027 submissions: researchonresearch.blog/2026/10/20/s...

Gautam Kamath reposted

This is how you properly acknowledge that you used AI to write your paper.

Gautam Kamath@gautamkamath.com

How do you tell if authors fabricated their research results? Sometimes: they just tell you. Read, e.g., this caption carefully. Another banger of a post by my friend Nihar B. Shah on his blog, where he found at least 20+ such #ICLR2027 submissions: researchonresearch.blog/2026/10/20/s...

Gautam Kamath reposted

The #FORC2027 Call for Papers is up! Submit your best work on the foundations of responsible computing, including, e.g., privacy, robustness, fairness, and (for the first time!) safety and alignment! First deadline: November 11 Conf: June 2-4 at Stanford responsiblecomputing.org/forc-2027-ca...

responsiblecomputing.orgFORC 2027: Call for PapersA call for papers for the 8th annual Symposium on Foundations of Responsible Computing.

In any good zombie movie, the biggest problem is not necessarily the zombie themselves. It's how humans reveal their worst tendencies in a world with zombies. (This is a post about AI.)

I want to highlight 2 theorists who have distinguished themselves as true scholars: Sankeerth Rao Karingula & Shachar Lovett They have done exceptional work in simplifying and expositing recent breakthroughs on Komlos, 3SUM, etc. They have my highest respect.

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And to be clear, there are others I have noticed, often working on less "glamorous" problems. That includes this paper by Ari Blondal, Hamed Hatami, Pooya @hatami.bsky.social, Chavdar Lalov, Sivan Tretiak. This is the way it should be done. arxiv.org/abs/2610.20657

arxiv.orgA polylogarithmic bound for list replicabilityZhang [Zha26] recently posted a manuscript announcing that the list-replicability number of every class of $M\ge 2$ binary concepts on $N\ge 2$ domain points is $O(\log^2 M\log N)$, which would be the...

And this one by @barnacs.bsky.social and Christopher Ye: arxiv.org/abs/2610.20297 Some have (privately) remarked that they find some of the papers in the original post upthread are not a substantial simplification, or remain imperfectly written. Even so, I applaud efforts in this direction.

arxiv.orgSimple, Faster (min, +) Matrix Multiplication and APSPIn this note, we provide a deterministic algorithm that computes the $(\min, +)$-Matrix Product $C = A * B$ of two $N \times N$ matrices $A$ and $B$ with polynomially bounded integer entries in $\tild...

I want to highlight 2 theorists who have distinguished themselves as true scholars: Sankeerth Rao Karingula & Shachar Lovett They have done exceptional work in simplifying and expositing recent breakthroughs on Komlos, 3SUM, etc. They have my highest respect.

As we are in an unprecedented stage of research, and no one knows what best to do, I felt it necessary to laud the behaviour that I would like to encourage. See also my comments re: simplification bsky.app/profile/gaut...

Gautam Kamath@gautamkamath.com

Most of the focus on AI for math has been on producing new results. But surprisingly little on finding simpler or more elegant arguments for old results? I would love for folks to clean up the literature using these newfound superpowers. 1/n

Gautam Kamath reposted

What is TMLR doing under a 300% increase in submissions? - Suspensions of >150 authors - Publicly naming major violations - Submission quotas distinguishing slop patterns - Desk rejections 6% → 53%; focus on clarity - AI reviews evaluating soundness blog.tmlr.org/2026/adaptin...

blog.tmlr.orgAdapting Our Processes to the Changing World of Scientific PublicationTMLR is adapting its submission and review processes to handle rapid growth while protecting review quality, reviewer time, and scientific integrity.

Gautam Kamath reposted

Over 400 academics in 30+ countries signed our open letter calling for immediate changes in AI development and deployment practices to ensure that cybersecurity incidents do not continue to occur, as future incidents will be far more damaging to our critical infrastructure.

Gautam Kamath reposted

Over 400 researchers and I have signed this open letter calling for the AI and security communities to come together to improve alignment and containment approaches in order to protect our critical infrastructure and digital systems. ai-security-letter.org

If you are at #COLM2026, be sure to check out our workshop on responsibly enabling data for foundation models -- starting at 8:45 AM in Union Square 17&18 / Fourth Floor. Featuring posters and contributed talks, as well as amazing plenary speakers 😲😲😲

#SaTML2027 has an incredible lineup of competitions and workshops. Check them out!

Announcing: the #SaTML2027 competitions and workshops! We have an amazing lineup of two competitions and four workshops. The workshops will be on May 3, ahead of the conference that runs May 3-6 in Reykjavik, Iceland. Read on to learn more about the competitions and workshops!

Gautam Kamath reposted

Announcing: the #SaTML2027 competitions and workshops! We have an amazing lineup of two competitions and four workshops. The workshops will be on May 3, ahead of the conference that runs May 3-6 in Reykjavik, Iceland. Read on to learn more about the competitions and workshops!

Most of the focus on AI for math has been on producing new results. But surprisingly little on finding simpler or more elegant arguments for old results? I would love for folks to clean up the literature using these newfound superpowers. 1/n

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You can see how after a few such AI-driven works that build on top of each other, entire solutions could become inscrutable. No individual paper may have committed a serious offense, but the obfuscation accumulates, even when there might have been a much more elegant solution. 5/n

I'd love to see a venue/track for "the book" proofs. 1. New proofs of previously known theorems are strongly encouraged; 2. The bar for publication is very high: reviewers should think that the proof could not possibly be made any simpler. 6/6

Most of the focus on AI for math has been on producing new results. But surprisingly little on finding simpler or more elegant arguments for old results? I would love for folks to clean up the literature using these newfound superpowers. 1/n

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But given the recent emphasis by the mathematical community on "human understanding," perhaps now's the time to revisit this focus for the things we already (think we) know? 3/n

In my experience, (current) AI models are not great at producing "human interpretable" or elegant solutions, even after de-slopifying. They've produced technical modifications on top of previous technical solutions, which get increasingly hard (for me?) to intuit. 4/n

Most of the focus on AI for math has been on producing new results. But surprisingly little on finding simpler or more elegant arguments for old results? I would love for folks to clean up the literature using these newfound superpowers. 1/n

Gautam Kamath reposted

A pattern that I've been surprised by is people writing followup emails for their slop emails. Like, people are getting really insistent that I respond in earnest to emails they did not write.

Gautam Kamath reposted

AI tools are very useful for mathematical research. But at present, producing good work requires a labor intensive step that I have been calling "deslopping" - making the thing readable. Please do not skip this step; even if the theorem is great an unreadable paper is worthless.

NYU Courant professor Tristan Buckmaster, of Navier-Stokes drama fame, gave a talk at the new NYU Mathematics in the Age of AI seminar series. It was... popular.

Over 100 years ago, steam engines were not welcomed by firefighters, who felt it would change what it meant to be a firefighter and it would result in job loss.

the internet rn

Gautam Kamath@gautamkamath.com

Man folks really hate mathematicians huh. Seen some wild stuff on the Twitter timeline this past week. Including a 1M+ follower academic calling them "retards" and saying "Let AI wipe them out."

Gautam Kamath reposted

I'm a Program Chair for ICML 2027. We'd love any creative suggestions for a great conference! How to manage the explosion of AI slop and insane submission growth? How to manage reviewing? How to incentivize high quality creative work? How to reduce bureaucracy and overhead?

Excited to join the new NYU Courant Institute School of Mathematics, Computing, and Data Science (@nyucourant.bsky.social) as an assistant professor of CS ~2 weeks ago! WOW its already been v exciting for ML and math at Courant in particular! While fun I hope not ever week is like this!!!

Gautam Kamath reposted

Do authors understand their own papers? Our desk rejection rate at TMLR is about 53% while it was only 6% in 2023 To understand the situation and assess our process, Nihar asked authors about their own TMLR submissions Learn the findings of the pilot study & share your thought

TMLR has faced a deluge of submissions, necessitating stricter desk rejection policies due to limited reviewer capacity Co-EiC Nihar Shah reached out to authors of 10 papers slated for desk reject. Could they answer questions about their *own* submission? medium.com/@TmlrOrg/ask...

Nihar Shah did a heroic experiment for TMLR: he spent 20-25 hours over two weeks interviewing authors of seemingly low-quality submissions about their own papers. He confirmed what we all suspected: people submitting these papers have *no idea* what is going on in them.

TMLR has faced a deluge of submissions, necessitating stricter desk rejection policies due to limited reviewer capacity Co-EiC Nihar Shah reached out to authors of 10 papers slated for desk reject. Could they answer questions about their *own* submission? medium.com/@TmlrOrg/ask...

Two things are simultaneously true about math: 1. understanding is important 2. it's useful I could see a future where there are 2 parallel pillars of math (both important): one of human understanding, and one of incomprehensible Lean-slop used directly to do useful things