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Ragnar {Groot Koerkamp}

@curiouscoding.nl
1.1K followers 139 following 1.8K posts

Postdoc on high troughput bioinformatics @ KIT Karlsruhe; IMO, ICPC, Xoogler, Rust, road-cycling, hiking, wild camping, photography

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Reposted by Ragnar {Groot Koerkamp}
Тsфdiиg @tsoding.bsky.social · 10h
What I like about not using LLM-based tools is writing code is so tedious you are looking for solutions to write less code or no code at all and you usually find them. Which improves your project dramatically in a longer run.
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Robin Hawkes @robhawkes.bsky.social · 13h
What if offshore wind farms were star constellations? 🌌 I've had this idea in my head for years, ever since I first saw satellite radar imagery of wind farms. They often look surprisingly like a telescope image of a star field. Over the weekend I finally made it a reality…
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Ragnar {Groot Koerkamp} @curiouscoding.nl · 29/09/2026
(in stree.rs in crates.io/crates/znipp...)
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Ragnar {Groot Koerkamp} @curiouscoding.nl · 29/09/2026
Randomly browsing crates.io, when suddenly... Can LLM-generated testimonials be part of academic CVs already?
This module is a derivative work; the algorithm — the cache-line-sized
implicit S(+)-tree, the branchless SIMD node compare, and the software-pipelined/prefetched batch traversal that hides memory latency — is entirely Ragnar's. **Thank you, Ragnar Groot Koerkamp**, for the design and the beautifully written explanation; every fast path here traces back to your work, including the B-factor and batching trade-offs we re-measured for i64.
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Rasmus Pagh @rasmuspagh.net · 29/09/2026
Very interesting report about AI and theoretical computer science, based on a recent meeting at @simonsinstitute.bsky.social simons.berkeley.edu/ai-tcs-worki... These are times of change, but I am optimistic that there will always be a valuable place for humans who seek to understand.
simons.berkeley.edu
AI + TCS Working Group
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Grace @gracekind.net · 30/11/2025
I don’t think this is a narcissistic injury, but it is an egoistic injury. And it hurts a lot! If a computer can do everything I can do, what makes me valuable? This is a difficult question to answer
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Ragnar {Groot Koerkamp} @curiouscoding.nl · 28/09/2026
What really gets to me is every header using "the" as if stuff was already obvious at that point. But the entire point is to explain it _after_ the header. And also lots of headers like "<topic>: <the main takeaway>". I do this myself in blogposts, but in papers, I find it super cringe somehow.
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Ragnar {Groot Koerkamp} @curiouscoding.nl · 28/09/2026
Google scholar sent me a notification of a new preprint with a highly relevant but obivously LLM-generated title. On 10s of scanning, many headers in the text are also LLM-generated. It's just so repulsive I cannot put myself to looking at the thing more than 20 seconds total...
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Resist 🕎🍉 @antizionistjew.bsky.social · 28/09/2026
Google Maps Updated Their Maps - The Atrocities Of Gaza Are Now EXPOSED To The World. Heartbreaking 💔
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Ragnar {Groot Koerkamp} @curiouscoding.nl · 27/09/2026
We have AI, but gmail still doesn't have a feature where it suggests to snooze a mail to the one date that's mentioned in it.
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Rob Patro @robp.bsky.social · 27/09/2026
Tangentially, @jermp.bsky.social also points out @recombconf.bsky.social is listed as B tier in CORE portal.core.edu.au/conf-ranks/?.... This is something that we should figure out how to address. RECOMB is a premiere conference in comp bio, & it is highly selective. It is `A` tier without question.
portal.core.edu.au
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Ragnar {Groot Koerkamp} @curiouscoding.nl · 27/09/2026
Some impressive wattage 😎
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Rob Patro @robp.bsky.social · 25/09/2026
Ok comp. bio / bioinformatics / genomics friends. Let's talk about @recombconf.bsky.social and, specifically, the way in which the "proceedings" have evolved. This seems like something that we, as a community, should address. RECOMB now has no "published" proceedings in the classic sense.
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Greg Egan @gregegansf.bsky.social · 27/09/2026
I was aware of Google announcing an implementation of Shor’s algorithm that needed substantially fewer qubits than previous methods, but I missed the bit where they released a Zero Knowledge Proof of their claim ... www.scientificamerican.com/article/why-...
scientificamerican.com
Why mathematicians are suddenly hiding research results
Google made a major breakthrough in quantum computing. To prevent the results from being misused, the company kept them secret. That backfired
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jazz mickle @queenjazz.gay · 27/09/2026
conventional wisdom for the entire time i've been programming has always been "less code is better". the idea that we must write more code faster is ridiculous. the problem has never been rate of output
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amos @fasterthanli.me · 26/09/2026
Q: what is it called when you start letting AI write some of your docs, then some more, then... A: "slippery slop"
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Ragnar {Groot Koerkamp} @curiouscoding.nl · 26/09/2026
Woke up at 2500m this morning 🤩
Picture of a rugged mountain ridge with a perfectly clear blue lake in front. The ridge is reflected in the lake. The foreground shows rocks at the bottom of the (shallow) lake, while the shoreline on the back shows a red upside down tent drying in the sun.
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Gro-Tsen @gro-tsen.bsky.social · 26/09/2026
The two answers to the MO question mathoverflow.net/q/515514/17064 exemplify these two mindsets. The main damage done by AI here is that the second motivation means you need to keep your questions absolutely secret and refuse to answer “what are you currently working on?”.
mathoverflow.net
Soft question: an era in my research terminated by AI (which is, in a way, not so bad)
I feel like writing a post about it, though I am not sure what kind of answers I will get. Here is my story. Ever since I have heard Michael Atiyah talk about his problem on configurations of points (
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Bede Constantinides @bede.im · 24/09/2026
"Claude Opus 5.5 refused to answer on biosecurity grounds, its refusal costing half that of DeepSeek’s complete answer"
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Antoine Leblanc @nicuveo.gay · 24/09/2026
AI is the triumph of "code is nothing but a means to an end", which is why we in the "software engineering is a craft" camp tend to hate it so much.
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Matt Henderson @matthen.com · 24/09/2026
every (convex) quadrilateral is a square- if you view it from the right perspective
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Ryan Moulton @moultano.bsky.social · 23/09/2026
Over and over I find that the key to being a good experimentalist is to trust absolutely nothing.
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Ragnar {Groot Koerkamp} @curiouscoding.nl · 24/09/2026
Also, like math, there are objective measurements to guide/verify it. It should be very much expected that they are good at this? (Yes, I'm saying that all this optimization work in e.g. my papers is pretty straightforward once you know what you're doing.)
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Ragnar {Groot Koerkamp} @curiouscoding.nl · 24/09/2026
I'm honestly surprised that at this point people are still surprised Claude can autonomously optimize code. It's just measure, identify hotspots, optimize, measure again, and repeat. Honestly all quite mechanical steps. The optimizations themselves are also mostly pattern matching I suspect.
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Ragnar {Groot Koerkamp} @curiouscoding.nl · 24/09/2026
I/we don't really play with the data enough probably?
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Jarno N. Alanko @jnalanko.bsky.social · 23/09/2026
www.anthropic.com/news/claude-... 950 Claude agents spent 21 hours looking at sequences encoding reverse transcriptases and noticed nearby spaced repeats like in CRISPR. It's cool but.... how come the string matching community had not found this before? Embarrassing.
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Eugene Vinitsky 🍒 @eugenevinitsky.bsky.social · 23/09/2026
If you view AI as filling in the convex hull of knowledge, this is great in the short term but bad in the long term if there's no one left to expand the hull after
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Dirk Lorenz @dirque.bsky.social · 23/09/2026
Signs that academia may be for you: * eduroam works on the first try * you get your travel reimbursement without having to email anyone twice * you understand your institution’s course management system
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Jarno N. Alanko @jnalanko.bsky.social · 23/09/2026
I'm starting to believe in the labor theory of value for TCS/math papers. That is, given equally skilled workers, with equal tools, and equally important problems, the value of a paper is roughly proportional to the amount of (human) labor that has gone into it.
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Camille Fournier @skamille.themanagerswrath.com · 22/09/2026
New critical skill: refusing to let people give you work by throwing AI crap at you. If it isn't immediately obvious what the value is from the doc it's going right back to sender
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Phil Eaton @eatonphil.bsky.social · 22/09/2026
Man there's no way to crash your reputation so quickly as an engineering org as publishing obviously AI-written articles.
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Yuri Sulyma @yurisulyma.bsky.social · 21/09/2026
A lot of AI/math discourse has a kind of sitcom-y view of mathematics, as if every open problem is a profound breakthrough Many open problems are there bc the author was exhausted and wanted to get the dang paper on arxiv already; or to leave low-hanging fruit for young people
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Zach Weinersmith @zachweinersmith.bsky.social · 22/09/2026
Artists: but I don't want to lose my job. I love it. Mathematicians: but I don't want to lose my job. I love it. Economists: LONG HAVE I AWAITED THIS HOUR! DESTROY ME, EFFICIENCY, AND LET UTILIZATION-ADJUSTED TOTAL FACTOR PRODUCTIVITY RISE ON THE WIND OF MY ASHES!
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Ragnar {Groot Koerkamp} @curiouscoding.nl · 22/09/2026
drops.dagstuhl.de/entities/doc...
drops.dagstuhl.de
SimdQuickHeap: The QuickHeap Reconsidered
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Ragnar {Groot Koerkamp} @curiouscoding.nl · 22/09/2026
I'll also present the SimdQuickHeap at P99, in case you missed it at the ESA best paper session ;) Basically, it's a pretty simple data structure inspired by quickselect with some SIMD sprinkled on top that's up to 2x faster than all other priority queues and up to 8x faster than binary heaps!
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Jarno N. Alanko @jnalanko.bsky.social · 22/09/2026
It is really starting to feel like at least a decade worth of pure math/TCS results is going to be happening in Q4 2026. Human understanding, digestation and dissemination is going to take a while. But wow.
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Maris Ozols @marisozols.bsky.social · 22/09/2026
Here are my immediate thoughts I sent to the new Advisory Group on Mathematics and Artificial Intelligence. terrytao.wordpress.com/2026/09/21/a...
terrytao.wordpress.com
Announcing the Advisory Group on Mathematics and Artificial Intelligence
[This is a guest post by the Advisory Group on Mathematics and Artificial Intelligence. This blog post was initially written in a different file format and converted using AI. — T.] We would …
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Zalea 💜 @zalea.bsky.social · 22/09/2026
this comparison to alchemy is super interesting. LLMs feel similar to mercury in that they could be a red herring and exposing yourself to them too much messes up your brain

	The alchemists also had clues that led them astray. For one thing, the were obsessed with mercury. Mercury is not very interesting chemically, but it is the only metal that is a liquid at room temperature.

This seemed very significant to the alchemists, and caused them to place mercury at the heart of their alchemical system, and their search for the Philosopher's Stone, a way to turn base metals into gold.

It didn't help that mercury was neurotoxic, so if you spent too much time playing with it, you started to think weird thoughts. In that way, it resembles our current thought experiments with superintelligence.
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Cooper Lund @cooperlund.online · 22/09/2026
Damn, he had Sam Altman dead to rights in 2016
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Alexander Kasprzyk @amkasprzyk.bsky.social · 22/09/2026
Public perception about the future of mathematics is an enormous challenge facing our community. We are currently not even remotely in control of the narrative. For example, the photo shows what’s on display in every newsagents and supermarket in the UK. Will future students be scared away? #MathSky
The latest issue of New Scientist magazine, with the front cover “How AI blew up maths”.
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Ragnar {Groot Koerkamp} @curiouscoding.nl · 22/09/2026
Also: farmers get to protest for the past 30 years against reducing their emissions and the size/number of farms to avoid shrinking their industry. Us mathematicians et al. are basically gonna have to just suck it up overnight.
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Ragnar {Groot Koerkamp} @curiouscoding.nl · 22/09/2026
At least so far they're only proving open problems, i.e. known-unknowns. Here's to hoping there'll still be work for us in defining what we don't know... (not sure I'm optimistic.) Also, given that they `grep conjecture` I wonder if they deemed my minimizer conjectures worthy. 😆
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Huck Bennett @huckbennett.bsky.social · 22/09/2026
Wow does the post title bury the lede! I particularly like the pictured comment.
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Ragnar {Groot Koerkamp} @curiouscoding.nl · 21/09/2026
If you work for your institute, you presumably get paid a salary for that? Although if it's all overtime... yeah not great then. I was lucky to get unemployment benefits while writing my MSCA proposal last year.
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Ragnar {Groot Koerkamp} @curiouscoding.nl · 21/09/2026
To clarify just in case: in the sense that you spend 2 months of time on it that should be valued at 10k. Not in the sense that you actually pay this amount.
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Ragnar {Groot Koerkamp} @curiouscoding.nl · 21/09/2026
Oh god ...
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Ragnar {Groot Koerkamp} @curiouscoding.nl · 21/09/2026
There's also a bunch of prisoner dilemma in here... It's best if everybody decides to only do minimal polishing. Ideally there would be a rule against overly polishing 😅
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Ragnar {Groot Koerkamp} @curiouscoding.nl · 21/09/2026
Another caveat: Encouraging students to think about future research plans is not really wasted money. But I must say that MSCA has a lot of "process" and "meta" around it that takes a lot of time to get right that at least to me feels quite redundant and not reusable.
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Ragnar {Groot Koerkamp} @curiouscoding.nl · 21/09/2026
Maybe we can learn from corporate rewards: - base salary based on past perf (experience/CV/seniority) - bonus based on current (past year) perf - stocks to encourage future perf So proposals could be: - 1/3rd on project finished in last 2 years - 1/3rd ongoing projects - 1/3rd upcoming projects
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Ragnar {Groot Koerkamp} @curiouscoding.nl · 21/09/2026
Yeah I've been thinking the same: say you get 3-5 years PhD "for free" and then repeatedly get the next 3 years of funding based on the past 3 years. This of course has the major drawback (as does the current system) that success of your PhD is amplified massively to success of your career...
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