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write, edit, hyper focused on health. parent three lovely 💕 teens. run @CloseConcerns, covering #diabetes galaxy. https://t.co/CgtTt7nBwW founder, @cpslectures co-host.

san francisco, ca Katılım Ekim 2008
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Sukh Sroay
Sukh Sroay@sukh_saroy·
🚨 BREAKING: You asked AI to improve your writing. It changed what you were actually saying. New research just proved it. In a controlled study, heavy AI writing assistance led to a 70% increase in essays that gave no clear answer to the question being asked. Not unclear writing. Neutral writing. The kind that sounds polished but commits to nothing. Here's what makes this worse: Researchers took essays written in 2021 — before ChatGPT existed — and asked an LLM to revise them based on real expert feedback. The instruction was simple: fix the grammar. The model changed the meaning anyway. Every time. It can't help it. The training pushes toward inoffensive, agreeable, averaged-out text. That's not a bug they can patch. It's the objective function. And then there's the peer review finding. 21% of reviews at a recent top AI conference were AI-generated. Those reviews scored papers a full point higher on average. They also placed significantly less weight on clarity and significance — the two things peer review is supposed to evaluate. So we're not just talking about your email sounding a little corporate. We're talking about AI quietly flattening scientific discourse. Laundering opinions into non-answers. Replacing your voice with the mean of everyone's voice. The industry keeps asking: is AI-written content detectable? Wrong question. The right question is: what are we losing when a billion people let the same model edit their thinking?
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The Nobel Prize
The Nobel Prize@NobelPrize·
"If you're working non-stop all the time you will burn out." How do you keep a healthy work-life balance as a scientist? Hear 2009 chemistry laureate Venki Ramakrishnan share his best advice on how to achieve a good work-life balance. #NobelPrize
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kelly close@kellyclose·
@MHurabiell @sfbos @SupStefani @conniechansf @aaronpeskin @D4GordonMar @DeanPreston @MattHaneySF @RafaelMandelman @hillaryronen @shamannwalton @Ahsha_Safai @hknightsf @heresaymedia @antoniogm @MaliaCohen These are some really excellent Qs + TY so much, @MHurabiell for raising some challenging questions, even when, especially when, they aren’t all easy conversations. TY from this public school parent who so deeply loves SF ♥️ + @SFUSD + yearns for SFUSD to have more + do better.
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kelly close@kellyclose·
We were just talking about you tonight, @parthaskar, a group of two dozen gathered in Boston … love seeing this card, and I hope your ears are always tingling. Thank you for impacting so many beyond the UK as well as in the UK.
Partha S Kar 🇮🇳🇬🇧🏏🎥@parthaskar

There are always moments we all go through Moments of doubt In my life? Having these - helps Still one of the greatest feedbacks ever received And if Andrew Hattersley says so? It is a moment of being much thankful for what life has given me x

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kelly close@kellyclose·
@DanielJDrucker @NatureMedicine We're all lucky, us patients, to have _any_ medicine + a routine (on this med) of four capsules 3x a day shouldn't _be_ an issue, but might it be? Do you wonder if adherence was stressed +/or if it'd be an issue IRL? Do you wonder what results might be with more SGLT-2 use? TY!
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kelly close@kellyclose·
Bravo! Love seeing one giant, @JoslinDiabetes’ Prof Ron Kahn, celebrated by another giant, @UofT’s Prof @DanielJDrucker. Happy birthday, Dr Kahn (the great!) … + TY both (ital) for all you have done, are doing, and will do for people w/diabetes, pre-diabetes, + obesity. 💙
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Daniel J Drucker@DanielJDrucker

Happy (80th!) Birthday to Professor Ron Kahn, a pioneer in the molecular mechanisms of #insulin action #diabetes @JoslinDiabetes @harvardmed @theNASciences @AmDiabetesAssn @JDRF @NIDDKgov @diabetesmaster @jclinicalinvest @the_asci

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kelly close@kellyclose·
@TaniguchiMD Thank you, Cullen, for this, so much!
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Dr Lisa Nivison-Smith
Dr Lisa Nivison-Smith@LNivisonSmith·
As a PhD student, all I focused on was getting a PhD. As a PhD supervisor, I focus on training students on the long-term process that leads to getting a PhD. Here's some examples🧵
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kelly close@kellyclose·
Incredible reading happening at @comixexperience w/Thien Pham - livestream happening now: youtube.com/live/hUrnsKi27… … book signing coming up, truly magic hearing about family of this standout writer, his work as a high school teacher + more. Want a copy signed, pls say the word !
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kelly close@kellyclose·
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kelly close@kellyclose·
@Andrew_Akbashev @numericalguy I was actually under the understanding that recommendation letters should be shorter and as potent, but also succinct as possible, because the attention span of the average person continues to go only one direction?
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Andrew Akbashev
Andrew Akbashev@Andrew_Akbashev·
Yes, it does matter. PhD from MIT/Harvard/Stanford?Caltech has a higher weight than from low-rank universities (I hate ranks, but this is how it often goes). There was even a paper about it in Nature, I think. + who your advisor is in the academic community + who writes your recomm letters + how long and detailed those letters are + so many other things that you can't control unless you could start your PhD again
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Andrew Akbashev
Andrew Akbashev@Andrew_Akbashev·
#PhD student: Makes $30k a year. Works on weekends as well. Zero life-work balance. "Do you think I have a chance to become a professor?" Prof: "Yes, of course! Finish this project and we will publish excellent papers. I am sure you will easily find a faculty position." ▫️ 2 years later: Student finishes the project. Professor writes a report. Papers are published. Student: "Do you think my CV is strong enough?" Prof: "Yes, you are the best!" ▫️ Next 4 months: Student submits 50 well-tailored applications for faculty positions. Zero interviews. A lot of broken dreams. ▫️ Key takeaways: 1. Make sure you distinguish encouragement from reality. - By encouraging you, your advisor may unintentionally give you too much hope. Keep a cool head. 2. Always ask other faculties for external opinion on your case. - Your advisor’s opinion is always biased. Look for more input outside your group. 3. Don’t expect fairness during candidate selection. - Hiring process is subjective by definition. It is done by people with very different views on who is the best. You may put tons of efforts into a research statement only to find out later that no one really reads it. 4. The reality is brutal. - Departments can receive 300-500 candidates per opening. Many have excellent CVs and cool ideas. At top- and mid-rank universities, selection criteria can become extremely questionable (like, who exactly was your PhD advisor? Is your recomm. letter 3 pages long? etc). And there is no need to say “You don’t know anything about it. It’s not like this”. I went through this myself. Many times. Along with many colleagues. Do not expect fairness. See luck as a big factor. Apply broadly but have a backdoor ready. #AcademicTwitter
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