Luis A. Leiva

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Luis A. Leiva

Luis A. Leiva

@luileito

HCI+ML researcher and professor of Computer Science at @uni_lu. Previously with @AaltoUniversity and @UPV. Also co-founder of @ScilingAI in 2014.

Luxembourg Katılım Şubat 2011
471 Takip Edilen805 Takipçiler
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Luis A. Leiva
Luis A. Leiva@luileito·
🧵 Some reasons to come to Luxembourg for research.
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fidexCode
fidexCode@fidexcode·
"How did you know I generated the code with AI?" The code:
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sudox
sudox@kmcnam1·
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Luiza Jarovsky, PhD
Luiza Jarovsky, PhD@LuizaJarovsky·
Every "AI strategy" meeting in 2026: [Cartoon by Tom Fishburne]
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kitze 🛠️ tinkerer.club
vibe coders who don’t ship anything showing their agent orchestration setup
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Oded Rechavi
Oded Rechavi@OdedRechavi·
Reviewers 5 months after the deadline when the editor sends urgent reminders to submit their reports
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Ruslan Rust
Ruslan Rust@rust_ruslan·
I currently have three papers in review at "high impact" journals. One of them has been sitting there for two years. In that time my daughter was born and learned how to walk, but apparently publishing a PDF was still not possible for me. For another one, after four months in review the editor told me they cannot find a second reviewer and asked me to suggest more reviewers. A third one sent me a message in 2026 saying the PDF I uploaded was larger than 10 MB and that I should please reupload everything to make the file smaller. All of this just to eventually pay between 7,000 and 12,000 USD per paper so someone can officially approve that the science we do is "legitimate". Reminder: not a single reviewer will be compensated here. I still don't understand how we as scientists can collectively be so smart when doing science and still tolerate a system like this when it comes to sharing our findings. We should move to preprints plus open review, whether human or AI, asap. So frustrated about it. I'd suggest sharing your work on bioRxiv or medRxiv, reading and reviewing preprints when you can, and highlighting good research, especially if it is still a preprint. Try platforms like ResearchHub (that pay for peer review) and experiment with AI based reviewers for faster feedback. Instead I read this as a proposed "revolutionary" measure:
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Ben Miller
Ben Miller@bensen·
If you happen to be rate limited again, just use #Claude for free through Amazon customer support
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Leah Pierson
Leah Pierson@leah_pierson·
omg this title, this paper
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NO CONTEXT HUMANS
NO CONTEXT HUMANS@HumansNoContext·
I didn’t realize there were so many people getting destroyed by mattresses 😂
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Ryan Craven
Ryan Craven@ryan_tech_lab·
@jerryjliu0 The difference is the ML researcher had pattern recognition built up over years of reading papers. They knew which random shit was worth trying. That's the missing piece with vibe coding too. The instinct layer doesn't come free.
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Jason Bosco
Jason Bosco@jasonbosco·
"We used to debate using tabs vs spaces in code we'd type out"
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Daniel McDowell
Daniel McDowell@daniel_mcdowell·
I tell my students that one of the main reasons not to over-rely on AI for research/writing is b/c--at some point--you're going to have a face-to-face conversation with someone who matters, and if you don't actually know some things, that interaction will not go well for you.
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Hadas Weiss
Hadas Weiss@weiss_hadas·
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𝐑.𝐎.𝐊 👑
𝐑.𝐎.𝐊 👑@r0ktech·
“It worked on production just like it did on localhost”
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Luis A. Leiva
Luis A. Leiva@luileito·
Today @kayhanlatifzade has defended his PhD thesis "Decoding Cognitive States from Neurophysiological and Behavioral Signals". Congratulations 🎉
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Middle Earth
Middle Earth@_middleEarth·
If Bilbo asked ChatGPT
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Sara Hooker
Sara Hooker@sarahookr·
I completely agree with this assessment. The tools we use shape our outlook on what’s possible. Current AI is trained to be exceptional at the average, but terrible at the rare. And losing the rare makes us kind of basic.
Ethan Mollick@emollick

Everyone is starting to sound like AI, even in spoken language Analysis of 280,000 transcripts of videos of talks & presentations from academic channels finds they increasingly used words that are favorites of ChatGPT Model collapse, except for humans arxiv.org/pdf/2409.01754…

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JNS
JNS@_devJNS·
interviewer looking at my code having "💯🔥🚀✅️❌️🚫" and a well structured comment..
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