Clément Canonne

Clément Canonne

@ccanonne.github.io

Senior Lecturer #USydCompSci at the University of Sydney. Postdocs IBM Research and Stanford; PhD at Columbia. Converts ☕ into puns: sometimes theorems. He/him.

7.4K followers729 following3.8K posts

Clément Canonne reposted

Also, I don't know if there is any way to be clearer, but: If you are a theoretical computer scientist or mathematician currently working for OpenAI, you are not one of the good guys.

Clément Canonne reposted

An internal model at OpenAI has produced a claimed refutation of ETH! Russell Impagliazzo, Mohan Paturi, and I have been asked to help organize an open and independent examination of this claim. 1/4

Also, I don't know if there is any way to be clearer, but: If you are a theoretical computer scientist or mathematician currently working for OpenAI, you are not one of the good guys.

Clément Canonne reposted

Clément Canonne reposted

El Niño/La Niña famously cannot be reliably predicted more than ~6 months in advance due to the "predictability barrier": this is a chaotic system! New research from Australia (CSIRO/UMelb) just showed it *can* sometimes be predicted much earlier, up to a full year! www.science.org/doi/10.1126/...

science.orgUsing initial states to identify successful El Niño–Southern Oscillation forecasts 1 year in advanceEl Niño–Southern Oscillation (ENSO) is the primary source of climate predictability on seasonal and longer timescales over much of the globe, but predicting its phase beyond 9 months has remained chal...

"The research published today in Science Advances has found that the state of the Pacific Ocean at the beginning of a forecast plays a critical, and often overlooked, role in determining whether long-range predictions of ENSO will be accurate." www.eurekalert.org/news-release...

eurekalert.orgScientists find key to predicting El Niño 12 months aheadScientists have identified the conditions that make it possible to predict some El Niño and La Niña events up to a year in advance, potentially giving communities and decision-makers sig...
Clément Canonne@ccanonne.github.io

El Niño/La Niña famously cannot be reliably predicted more than ~6 months in advance due to the "predictability barrier": this is a chaotic system! New research from Australia (CSIRO/UMelb) just showed it *can* sometimes be predicted much earlier, up to a full year! www.science.org/doi/10.1126/...

I know the situation with PHP is incredibly worrying, but please shed a tear for ASP/ASP.NET as well. You can hear it, in its corner, alone and shivering, whispering— —"does anyone care? Can anyone check? I have vulnerabilities, too!"

El Niño/La Niña famously cannot be reliably predicted more than ~6 months in advance due to the "predictability barrier": this is a chaotic system! New research from Australia (CSIRO/UMelb) just showed it *can* sometimes be predicted much earlier, up to a full year! www.science.org/doi/10.1126/...

science.orgUsing initial states to identify successful El Niño–Southern Oscillation forecasts 1 year in advanceEl Niño–Southern Oscillation (ENSO) is the primary source of climate predictability on seasonal and longer timescales over much of the globe, but predicting its phase beyond 9 months has remained chal...

Clément Canonne reposted

Clément Canonne 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.

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.

Clément Canonne reposted

TIL that Heisenberg did his PhD on fluid dynamics, specifically turbulence. That turned out to be really hard, so later on he switched to something easier, quantum physics

Clément Canonne reposted

🌏 NeurIPS 2026 is coming to Sydney! Connect with the global AI & ML research community across Australasia: 🇳🇿 AJCAI 2026 | Nov 27–30 | Auckland 🇦🇺 ACML 2026 | Dec 1–4 | Melbourne 🇦🇺 NeurIPS 2026 | Dec 6–12 | Sydney Three conferences, one vibrant research community! buff.ly/oWgMVD8

buff.lyAustralasian AI Research Gatherings: Connecting NeurIPS 2026 with the AJCAI 2026 and ACML 2026 – NeurIPS BlogCommunication Chairs 2026 2026 Conference neurips2026

Collaborator: For this to be efficient, we need to make m as small as possible Me: I think I see a way. Let me type it Me: "\mbox{\tiny\ensuremath{m}}"

Clément Canonne reposted

Replying to @ccanonne.github.io

So I am going to show this with an elementary example. This is a thread and I am essentially thinking on the fly. When you are proving a lean theorem you are showing that `(LeanTT + 3 core axioms of lean + your defs + already proven theorems) ⊢ your theorem` live.lean-lang.org#codez=HYQwtg...

live.lean-lang.orgLean PlaygroundTry out Lean in your browser with the Lean Playground: an interactive live editor for testing Lean code.

Clément Canonne reposted

The Zoom link for Rachel Zhang's talk, "Linear Time Encodable Quantum Error-Correcting Codes," is now available on our website. See you tomorrow, 1pm ET! www.tcsplus.org/welcome/next...

tcsplus.orgTCS+ - Next TCS+ talkOur next TCS+ talk will take place on October 21 (10:00am Pacific Time, 1:00 pm Eastern Time, 19:00 Central European Summer Time, 17:00 UTC — check yours here ). Rachel Zhang, from UC Berkeley, will s...
TCS+@tcsplus.bsky.social

📢 Our next TCS+ will be Wednesday, Oct 21 (10am PT, 1pm ET, 19:00 CEST): Rachel Zhang, from UC Berkeley, will tell us about "Linear Time Encodable Quantum Error-Correcting Codes" RSVP to receive the link (one day prior to the talk): forms.gle/KJoSRNpEvKKV...

Writing a grant application feels like a weird remake of Ocean's Eleven. Assemble a team! Each person has a purpose, a specific skillset. Make a plan! Every detail should be thought of, carefully scheduled. I guess it's exactly Ocean's Eleven, but with 100 other teams planning the very same heist

Clément Canonne reposted

Replying to @joshuagrochow.bsky.social

Also implies something about LLM use in reviewing. First it's just for finding bugs in papers. Then people start trusting the LLM more, and pretty soon the person basically isn't reviewing at all, just rubber-stamping an LLM's analysis of a paper they don't understand.

(you still have to accept *my* papers, obviously)

Clément Canonne@ccanonne.github.io

One solution: normalize desk-rejections. After a fast first assessment, papers are either desk-rejected, or go to full review. The current conf peer-review system has desk rejects as the exception, as it relied on self-selection prior to submission and small numbers. Neither of these hold anymore.

One solution: normalize desk-rejections. After a fast first assessment, papers are either desk-rejected, or go to full review. The current conf peer-review system has desk rejects as the exception, as it relied on self-selection prior to submission and small numbers. Neither of these hold anymore.

Andrew Cullen@adrcullen.bsky.social

Peer review relies upon reciprocity - I'll check your work, knowing that you'd do the same for me. Your investment in writing deserves my investment in reading. However AI generated theory papers are really testing my patience, and my peer reviewed faith. #ICLR

It does sting to get a desk rejection after one week. What else does? Waiting 4+ months for the same rejection, with a 2-line review (or, worse, an entirely AI-generated one). If you're not going to engage with the paper, make it quick.

Proposal for all first-order logic automated theorem provers to only get updated once a year, on January 1. File that under "New Year Resolutions"

Clément Canonne reposted

This is this week! Register here (free) for Rachel's talk: forms.gle/7JyHgQbFSKiA...

TCS+@tcsplus.bsky.social

📢 Our next TCS+ will be Wednesday, Oct 21 (10am PT, 1pm ET, 19:00 CEST): Rachel Zhang, from UC Berkeley, will tell us about "Linear Time Encodable Quantum Error-Correcting Codes" RSVP to receive the link (one day prior to the talk): forms.gle/KJoSRNpEvKKV...

Uploading one-shotted AI "expositions" of one-shotted AI-generated papers is totally bonkers to me. What value do you think this has? And what do you think your contribution is, "access to buttons?"