Arthur Clune

Arthur Clune

@arthur.clune.org

Geek. Likes bikes, climbing and tech Work: IT at University of Sheffield

193 followers481 following793 posts

Arthur Clune reposted

Claude does make me laugh. It is helping me write notes on linear predictors while being (using a viewed "from a galloping horse at midnight" approximation) a linear predictor.

Arthur Clune reposted

In the rush to build data centers, companies are starting to use their own off grid gas generators. This results in much higher emissions – 60% to 80% – compared with using their local electricity grid and risks locking in longer-term fossil dependence. www.theclimatebrink....

Arthur Clune reposted

Because eMudhra is in the news, I am sharing a screenie of a footer of an email I once received from them in reply to my query about my PAN card (a government-issue tax identity and card).

Arthur Clune reposted

Amazing how quickly we went from "oh no LLMs are going to flood the Internet with insecure code" to "oh no LLMs have discovered the internet was already flooded with insecure code"

That frontier models have got off the 0% line on A20H sts1 is very impressive and like everything is about to be hill climbed really fast. It requires managing complex decisions now wrt risks that may occur in the future. Lots of well paid jobs look like this

Epoch AI@epochai.bsky.social

While frontier models are getting better quickly, their win rates on the hardest difficulty in both games are still far below those of top human players, with GPT-6.1 Sol leading in the original game.

Arthur Clune reposted

Ukrainian drone strikes on Yandex data centers in Russia did not cut “Russian bots” on social media by 50%. That fast-spreading rumor is misinformation. It’s based on a misleading, misread chart. A traceable series of high-profile accounts spread it, some with financial motivations to push junk.

(100-e)% by Jan

Epoch AI@epochai.bsky.social

In 3 of the 18 math subfields we track, more than half of arXiv papers by established authors now acknowledge using AI. Rates have increased rapidly: in differential geometry, the share climbed from ~8% of papers in July to ~57% in September.

I predict there will be all sorts of issues buried in these proofs, but they will not change the long term course. Like counting letters in strawberry or basic errors in code

Gilles Louppe@glouppe.bsky.social

uh oh "We show that the formalised Lean proof does not correspond to the NL proof of blow-up of solutions to the Navier-Stokes equations."

Arthur Clune reposted

uh oh "We show that the formalised Lean proof does not correspond to the NL proof of blow-up of solutions to the Navier-Stokes equations."

arXiv math.AP Analysis of PDEs@mathap-bot.bsky.social

Alexander Bastounis, Fabian Circelli, Anders C. Hansen: Navier-Stokes lost in translation: Why Lean verification of AI autoformalisation does not guarantee correct natural language proofs https://arxiv.org/abs/2610.08144 https://arxiv.org/pdf/2610.08144 https://arxiv.org/html/2610.08144

Arthur Clune reposted

I was talking to somebody at a UK council recently and they said they’ve been overwhelmed by GenAI complaints. People sending in 30 page ChatGPT documents about hedge disputes and such. They can’t function.

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Arthur Clune reposted

"This valuable resource, extending to approximately 1,380 sq.ft, has the potential for many uses, including; Fall-out bunker EMP resistant server farm Secure discrete storage A prepper’s paradise!"

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Arthur Clune reposted

Replying to @quantian.bsky.social

Ok so basically what half these proofs show is that every beautiful and perfect result in mathematics is just another fucking Borwein integral under the hood and we never bothered calculating hard enough for the scales to fall from our eyes.

This is a good thread up and down, and I agree 100%. The labs are solving major maths problems as a byproduct. They have no interest in maths itself. We collectively have no idea how to deal with this

Pwnallthethings@pwnallthethings.bsky.social

Evals are hard problems with a success criteria, and in this case, a success criteria is *the same* as solving the problem. Findings proofs is basically a collateral output of running those evals at all. The labs I think institutionally care about the evals more than the proofs themselves

I am so sad about the Green Party today. Once I read about the Lamborghini driving Bolton councillor who voted against next zero, it was clear the party has a massive problem with entryism and no real way to manage it b/c of highly devolved structure.

@dougclow.bsky.social relevant to our earlier thread

Zoë Crowther@zoecrowther.bsky.social

I hosted an in-conversation with AI minister Kanishka Narayan at Labour conference We covered a lot of ground... He said there was too much AI “doomerism” in Westminster And revealed he has used synthetic AI focus groups to gauge public opinion on a range of topics 1/9

Arthur Clune reposted

“We find that on medium-length, well-defined accounting tasks, frontier AI models are now faster and more accurate than junior accountants, even the best one in our study.” Eighteen months ago they scored well below human accountants Good discussion here: www.mercor.com/blog/human-b...

This is what I mean by the pace of change. Once a certain capability level is crossed, suddenly whole new classes of problem are solved

I was at a very excellent AI in Research day today and my main takeaway is the massive, massive gap between people that are really into this stuff and know where the frontier is and how fast it is moving, and the majority who still think it's just a way to get a draft bit of text via chat

Having a system where we get our top researchers to spend their time writing grants with a 5% success rate rather than doing research seems less than ideal

Research Professional News@resprofnews.bsky.social

MRC success rates drop sharply after grants overhaul. Warnings of “catastrophic” impact on medical researchers as some rates fall below 5 per cent. www.researchprofessionalnews.com/rr-news-uk-r...

'It’s also noteworthy that Claude Science accomplished this in one shot, without any scientific oversight more sophisticated than “keep going.” '

Sichu Lu@sichulu.bsky.social

N=4 supersymmetry nine loop amplitude calculation!!!

This is really worth following the link. So much stuff. Ad profiling. Possible anthropic distillation

The #meta #muse VM is trivially dumped with casual chat prompt injection, and all the "get started" ideas that won over all the hype bloggers, including the new york times, are fucking hardcoded neuromatch.social/@jonny/11732...

me! me! I know this! me! It can't.

anyone want to bet on whether Gemini can do an extremely simple task to do a mail merge of a google spreadsheet with names/emails and a google doc with the template to send, using my gmail?

More and more I think maths is going to have to start again with ideas of what research is. "We're solving open problems so fast you can't keep up" is wild.

Ethan Mollick@emollick.bsky.social

OpenAI "has now resolved more than 100 long-standing open problems across most areas of mathematics," and is waiting to release them until after discussions with the math community The same thing will likely happen, but more so, with the Bar, the AMA & other professions. openai.com/index/adviso...

Arthur Clune reposted

the world is very weird and a lot is changing but a thing we can all find shared comfort in: google’s iOS apps remain pathetic industry lagging dogshit

A work last week an academic said "I don't believe that LLMs can solve problems". This a 2 mins after her colleague had explained that in maths they didn't know what to give phd students that LLMs can't solve, and now they are talking about what comes after terrytao.wordpress.com/2026/09/18/i...

terrytao.wordpress.comIf math is more than proof, we need to better celebrate the rest of it[This is a guest post by Grant Sanderson. This blog post was initially written in a different file format and converted using AI. — T.] A sentiment echoing throughout the mathematics communit…