you tell me who I am
Switzerland / Netherlands
Joined November 2008
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Anna Nachesa retweeted
New University of Illinois paper finds that when AI decides if a research idea is new enough to work on, it often says no to ideas that human scientists later publish.
AI scientist pipelines run a novelty check to decide which generated ideas get compute. These checks judge a whole proposal at once, though most real papers build on some earlier contributions.
They built ClaimNov, which splits a proposal into a few claims, matches each against claims from prior papers, and gives a judge the claim-by-claim evidence.
A deployed check caught all 380 disguised copies but also rejected 96% of ideas researchers later published. ClaimNov caught 97% of copies while rejecting only 1.5% of those ideas.
If your pipeline filters ideas for novelty, score claims separately and keep proposals that build on 1 known result instead of discarding them.
Anna Nachesa retweeted
I took about 50,000 photos through a 14" telescope last night to produce this: A hyper-detailed photo of the full moon. The fidelity of the photo was great enough to allow me to greatly enhance the color, revealing a hidden world of geological diversity.
Asked Claude (Opus Medium 5.5) to write a short story about how across generations people are frustrated that new tech deprives next generations of humans from basic survival skills. I didn't specify how it should end. That's what it wrote, no edits from me except the prompt. docs.google.com/document/d/1…
Anna Nachesa retweeted
Massive. New Harvard study finds that AI-written paper reviews now beat the best human peer reviews on every measure the authors tested.
Peer review is slow and often misses errors. Earlier studies concluded AI should only assist human reviewers, not replace them.
They used 134 reviews from rapidPeer, a Harvard service that pays expert reviewers well. Claude Opus 4.8 reviewed the same 1124 papers, and GPT-5.5 plus 3 former journal editors judged the pairs blind.
GPT-5.5 picked the AI review in all 132 decided pairs, and the editors picked it 87% of the time. Only 5.5% of the AI's claims about the paper were wrong, versus 15.9% for the human reviews.
Teams that depend on expert critique can now let AI do the first full review pass, and keep a human for the final decision.
Anna Nachesa retweeted
So basically, today PHP got two critical bugs that let anyone run code on your server without even logging in, which is bad, and then the details leaked before the patch was even out, which is worse, and it works on WordPress and MediaWiki and Magento and Joomla and Laravel, and Censys says like 1.5 million servers are running a version with no fix, so the NSA was like "take your system offline," and the FBI was like "take your system offline," and CISA and the UK and CERT-EU were all like "take your system offline," and then the Prime Minister of Japan, the actual Prime Minister, posted at 5:55 in the morning telling 48.8 million people to take their system offline, so everyone took their system offline, like the Dutch cybersecurity agency took its own website offline, and the Dutch parliament went offline, and the Port of Rotterdam went offline, and Finland and France and Denmark started pulling government sites, and Wikipedia went down, and Archive.org went down, and Asana and GOG and Something Awful went down, and the University of Vienna's webmail went down for some reason, and that's just PHP. Because GitLab also dropped a CVSS 10.0, which is the highest score they give out, for a bug that's been there since 2014, so that's every self-hosted GitLab for twelve years, and then LiteLLM 1.107.0 got hijacked and shipped a credential stealer and a remote access trojan in every single wheel and the Docker images, including latest, and you didn't even have to import it, just installing it was enough, and it's the second time this year, and then Railway paused every deployment on the entire platform because someone got into the environment variables, so now everyone has to rotate every secret they've ever stored there, and TiDB Cloud said someone was walking around inside with stolen credentials for basically a month and an extortion group says they took 10.6 terabytes, and Zeabur got breached for the second time in two months and is just shutting down, like the whole company, and Node.js patched remote code execution and a TLS bypass, and CISA says Plex is being actively exploited, and someone took over 300 Tor exit relays to steal SSH passwords, and SafePay ransomware has hit over 600 critical infrastructure orgs, and India's biggest bank filed a data loss incident, and Japan has been in an official state of emergency in cyberspace since October 9, which honestly explains the 5:55 AM post. Oh, and eMudhra, a certificate authority that's issued over 60 million certificates, whose entire job is proving websites are who they say they are, was supposed to be using private keys that are random numbers over a hundred digits long, and one of them was 4. Just 4. And the others were like 66 and 237. Anyway, it's Wednesday.
Anna Nachesa retweeted
To give context on age:
Grace Hopper began computing at 38, completed the first compiler at 46, helped shape COBOL at 53, kept developing COBOL for the Navy in her 70s, retired from the Navy at 80, & then became a consultant for the Digital Equipment Corporation.
v/@cooperx86
Couldn't believe this happened: GHC has been cancelled this year. anitab.org/press-release
Anna Nachesa retweeted
The first self-driving cars in Switzerland started a few days ago. It's a tiny pilot project called "iamo" in collab with SBB (swiss rail) that brings people to the next train station. Very small, only 4 cars and with safety driver sitting behind the wheel. Uses tech from Chinese company WeRide.
Hopefully it goes well and "warms up" the public and regulators so that many other self-driving cos will follow soon!
Anna Nachesa retweeted
You can literally type a sentence and watch a Transformer process it.
This interactive explainer runs a GPT-style model in the browser and lets you follow the whole path:
tokenization → embeddings → Q/K/V → attention → MLP → logits → next-token probabilities
You can inspect attention maps, intermediate values, and change temperature, top-k and top-p to see how generation changes.
If Transformers still feel like boxes connected by arrows, this is worth opening.
poloclub.github.io/transform…
After having been to Greenland, I think this lady made a great choice given the circumstances. businessinsider.com/day-in-t…
Anna Nachesa retweeted
So... In the last few days I have had my agents write:
1. A word processing app in which I will write future books. It replaces Scrivener.
2. A script writing app in which I will write future video scripts. It replaces FinalDraft.
3. Crapper, a tool that measures and records CRAP statistics for projects. The tool handles many different languages, and adding new ones is easy.
4. Mutator, a tool that runs mutation tests and records the results. The tool handles many different languages and adding new ones is easy.
5. Dryer, a tool that runs duplication analysis on a project. The tools handles many different language and adding new ones is easy.
6. UML-Viewer, a tool that displays the structure of a project in a UMLish diagram that shows modules and dependencies and highlights dependency cycles. Clicking on a module displays it's contents; which may be deeper UML diagrams or, at the leaves, code. The tools color codes the modules to reflect their CRAP and Mutation scores, and as you drill down you can see those scores for each module and function. The tool understands many different languages, and adding new languages is easy.
I recon that, last year, this would have been well over a man-year of effort.
All these tools are in github.com/unclebob. I advise you not to use them directly. Instead, point your agents at them and use them as templates to build the tools that are customized to your needs. The licenses are all BSD Zero, meaning that there are no strings. Do what you like.
Surely someone already wrote a SF story about this world being a matrioshka world, where multi-layered computronium passes eternity by periodically creating a new Universe and letting it evolve into a new iteration of itself.
Yet another female mathematician who wasn't given credit when credit was due. nytimes.com/2026/10/10/scien…
One of the highlights of the Southern Greenland trip was visiting Uunartoq Hot Springs - the only geothermal pool present there.
Not a Blue Lagoon, mind you, just a couple pools in the middle of nowhere with water temperature about 38C and air temperature about 5C.
It was quite a zen experience, in a way antithetic to how mass tourism looks nowadays, for which I am grateful.
Going there from Qaqortoq takes about 2 hours on a motor boat riding with the speed above 20 knots. photos.app.goo.gl/3BBkwogJTn…
Anna Nachesa retweeted
list of 12 active AI researchers on X:
1. @karpathy — Andrej Karpathy
2. @rasbt — Sebastian Raschka
3. @AndrewYNg — Andrew Ng
4. @drfeifei — Fei-Fei Li
5. @demishassabis — Demis Hassabis
6. @GaryMarcus — Gary Marcus
7. @ai_explorer25 — AI Explorer
8. @maximelabonne — Maxime Labonne
9. @chipro — Chip Huyen
10. @ilyasut — Ilya Sutskever
11. @thsottiaux — Thibault "Tibo" Sottiaux
12. @bcherny — Boris Cherny