Peter Walentek

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Peter Walentek

Peter Walentek

@WalentekLab

(he/him) Cilia & mucociliary epithelia development, self-organization, and human airway diseases. 🏳️‍🌈 opinions own & plenty @walenteklab on other platforms

Freiburg im Breisgau, Germany Katılım Ocak 2020
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Peter Walentek
Peter Walentek@WalentekLab·
@seekergupta @tdietterich @arxiv C'mon they literally claim to solve biology, bring life to mars and overcome everything from medical issues to financial systems. That's bs. And the big companies were shown to lie, steal and deceive by courts around the world. So what's wrong with the above statement?
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Thomas G. Dietterich
Thomas G. Dietterich@tdietterich·
Attention @arxiv authors: Our Code of Conduct states that by signing your name as an author of a paper, each author takes full responsibility for all its contents, irrespective of how the contents were generated. 1/
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Peter Walentek
Peter Walentek@WalentekLab·
@seekergupta @tdietterich @arxiv Not really. That's why many current ai "professionals" need so much to dial it up and make exaggerated claims to make their point. That's also why the companies lie, steal, build circular financial deals and try to broker with politict to get support without regulation. They know
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Peter Walentek
Peter Walentek@WalentekLab·
@seekergupta @tdietterich @arxiv It's not my favorite language, and there were always languages that were part of becoming a professional in a domain. Think arabic, greek, latin, french, german, then english. Also learning jargon and specialized words as professional is just part of the education to become pro.
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Chirag Gupta
Chirag Gupta@seekergupta·
@WalentekLab @tdietterich @arxiv So what happens to scientist who don’t speak YOUR favorite language and use LLMs to translate. Or you don’t think they are scientists?
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Peter Walentek
Peter Walentek@WalentekLab·
@seekergupta @tdietterich @arxiv Also the claim of early adopters will win is not true. The very early adopters usually die or go broke, then the professionals make things reliable, scale it up and make the buck. Just think flight, electricity, nuclear power, and media.
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Luca Ambrogioni
Luca Ambrogioni@LucaAmb·
There is absolutely nothing wrong in copying past LLM output you have been working with, in fact that's erxactly how you use LLMs for editing If you write a 100 pages text with 15 co-authors, it's unreasonable to ask every author to validate every line. It was unreasible long before LLMs
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Luca Ambrogioni
Luca Ambrogioni@LucaAmb·
A lifetime arxiv ban (arxiving after pubs is meaningless) can completely wreck someone career Doing that for a single slip unconsequential slip on an otherwise good paper is completely reckless Society is changing fast, we need to support people. Not punish them.
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Peter Walentek
Peter Walentek@WalentekLab·
@seekergupta @tdietterich @arxiv I think journal should disallow llm/agent use and we'd be where it worked (not perfectly but predictably) fir quite a while. Once llm gets mature and not a random word machine that makes up stuff, we can talk again imo.
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Chirag Gupta
Chirag Gupta@seekergupta·
Yes I do. Our agent provides a direct link to whatever paper it references. The question here is, what happens when a consortium paper is submitted to arxiv with 30 authors who co-wrote the paper, and one of them mis-cited? Do all authors get banned for a year for this? One can argue that the authors were supposed to read and verify the manuscript. Yes, and they generally do, but I can guarantee no co-author checks and verifies all references. Specially senior authors who submit multiple manuscripts a year from their labs. We have always relied on peer review to catch such inconsistencies. Plus the journals have/should have such checkpoints. IMO, the journals should disallow citations to preprints and tighten their peer review policies. Arguably, an AI reviewer pre-screen can take some of that burden off the journals (and preprint servers)
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Peter Walentek
Peter Walentek@WalentekLab·
@AlbertBuchard @tdietterich @arxiv You should perhaps disclose that you are generating AI apps, especially since you don't seem to be an academic. I wonder why you comment on academic publishing.
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Albert Buchard 🇪🇺
Albert Buchard 🇪🇺@AlbertBuchard·
Modern science is AI-assisted, and modern publications should be AI-enhanced, not stuck in the same format that has plagued science for hundreds of years. We are at a point where publications can be fully validated by review agents, interactive, and continual. Yet we are still stuck with people who think the solution to AI slop is to enforce a no-AI policy.
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Peter Walentek
Peter Walentek@WalentekLab·
@joanadiskurs Und bei über 10k / monat netto kann man natürlich nichts mehr abgeben. Sicher.
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Joana
Joana@joanadiskurs·
Wer als Single 280.000 Euro zu versteuerndes Einkommen hat, zahlt schon rund 122.000 Euro an Einkommensteuer. Das ist ein Riesenbatzen, der wirklich reichen sollte. Diesen Leuten noch mehr abnehmen zu wollen, ist kackendreist. zdfheute.de/politik/deutsc…
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Peter Walentek
Peter Walentek@WalentekLab·
@NikolausBlome Na wenn der Kanzler und die anderen Politiker in die Rentekasse einzahlen würden, würden die tatsächlich ca 2 untere durchschnittsrenten finanzieren können. Der lacher war nicht weil die rechnung nicht stimmt, sondern weil er aus einer Position spricht die nicht sozial beiträgt.
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Nikolaus Blome
Nikolaus Blome@NikolausBlome·
Der Kanzler sagt beim #DGB, dass zwei Arbeitnehmer nicht einen Rentner mit ihren Beiträgen finanzieren können. Die Delegierten lachen ihn aus. Man lernt: Betriebsräte sitzen warm und sicher, und Mathe oder Demographie sind ihnen schnurz.
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Peter Walentek
Peter Walentek@WalentekLab·
@m_saharia No PhD is not a job. It is also not a 9-5 production line. My advise is: take 20 tea breaks and hang out with your colleagues until late and be "unproductive" in pipetting as long as you discuss, get inspired, make lifelong friends and broaden your horizon. It will pat off.
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Dr. Manabendra Saharia
Yesterday, I was giving an intro talk to our dept's new PhD students. Technical things aside, my number 1 suggestion has remained the same over the years: Treat your PhD like a job. - Avoid 1.5h lunch and three tea breaks. - Avoid gossiping and loitering at work. - Lab at 9 am and leave at 6 pm. Being productive till 11 pm in the lab is a lie people till themselves when their day starts at 1 PM. Everything worth doing can be done with high intensity focus during work hours. And having fun in life is the secret to being productive in a marathon.
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Peter Walentek
Peter Walentek@WalentekLab·
@AMartinezArias It does remind me of the Levin LR asymmetrical localized mRNAs that turned out to be ISH artifacts tbh. But I'm sure they have beautiful immunos since they look at proteins.
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Alfonso Martinez Arias
Alfonso Martinez Arias@AMartinezArias·
These experiments are difficult and results like this important w/ potential practical effects. Similar claims in mouse have been shown to be inconclusive so, before accepting this conclusion it'll be good to have an independent corroboration.
Prof. Nikolai Slavov@slavov_n

Single-cell proteomics illuminated new mechanisms of mammalian development. We found that spatially polarized protein distributions and intracellular protein gradients emerge during the earliest stages of mammalian embryogenesis and help bias subsequent cell fate decisions. Critically, these developmental mechanisms are not reflected in mRNA abundance: the key biology resides in the spatial organization, abundance, and asymmetric localization of proteins within and between cells. The results show that early developmental patterning is associated with polarized localization of specific proteins and coordinated proteomic asymmetries across blastomeres, linking protein organization directly to lineage specification. These findings support a model in which cell fate in the mammalian embryo is not determined solely by stochastic transcriptional programs, but is strongly shaped by inherited and dynamically regulated protein states that establish developmental competence before overt differentiation: cell.com/cell/fulltext/… Our results depended critically on single-cell proteomics analysis, on direct measurement of the molecular effectors that execute developmental decisions — capturing gradients, localization, stoichiometry, and post-transcriptional regulation. The future of developmental biology will depend increasingly on quantitative single-cell protein measurements capable of resolving the molecular architecture of cell fate determination: doi.org/10.1242/dev.20…

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Peter Walentek retweetledi
QuitGPT
QuitGPT@quitchatgpt·
Student activism is WINNING. Harvard just DUMPED its ChatGPT contract, and your university needs to be next! Get in touch with us at QuitGPT for help coordinating change on your campus.
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