(he/him) Cilia & mucociliary epithelia development, self-organization, and human airway diseases. 🏳️🌈 opinions own & plenty
@walenteklab on other platforms
Visited Natl Xenopus Resource @MBLScience in Woods Hole to collect tissues from our knockout frogs. Stayed in nice cottage. I couldn’t do these studies without the NXR. @NIH@Xenbase@SocDevBio
@VicVijayakumar@bkpark No, each author will read it (and often there are many of them), plus some of their parents.... and bots for anthropic and bioai... so we win!
Interested in EvoDevo and Deep Homology of Fins and Limbs? 🐟🧬🔬
Great Master's Research Opportunity! Join the Crow Lab - SFSU
Apply to the SFSU M.S. in Biology program
Especially from him 🤔 didn't his kids run away from him and decided to transition themselves? His family does not seem to need anyone for what he tries to scare people... think about that.
@Ryan12x6 Yes and I do find them by magnitudes less weird than the shit Elon says and does. He is indeed the antichrist together with thiel, so he has no credibility to call out anything religion, weirdness or politics for that matter.
@dfg_public Sehen Sie es gibt keine Garantie dass Daten und Ideen nicht von LLMs (v.a. kommerziellen) weiterverarbeitet werden. Bis dies nicht sichergestellt ist, sollte die DFG nicht erlauben Anträge und Ideen anderer mit AI Hilfe zu begutachten.
When you type an unpublished idea into a chatbot or coding agent, could it end up being used by the company that built the model—or a rival who asks the right question a year later? And what can you do to reduce the risk?
No setting makes a chatbot fully private, but experts suggest steps that can make leaks much less likely: https://t.co/knZzcmSD7x
Today I am sharing a new preprint and accompanying blog post. Hundreds of published papers include impossible western blots showing protein expression in cell lines that have deleted or mutated genes. These clumsy mistakes are widespread and repeated by LLMs.
@duplolas92@EndWokeness Hmm maybe there is less to loot?
Hungary and less diverified countries have only 30-50% of the per capita gdp as compared to the diversified ones you name in your post...same on state level in Germany, the ones fighting immigration have less immigrants, less Gdp, jobs...
@RationalEntity Es ist ein "narrative review", also eine version der literaturrückschau die keinen ansprucht auf allgemeingültigkeit beanspruchen kann und nicht von statistik untermauert sein muss. Vergl. einer Kolumne in einer Zeitung (Meinung ohne Neutralitätsgebot). Das darf man kritisieren.
I recently spent some time with former colleagues from academia. All of them brilliant, peak human capital. Almost all of them fundamentally unable to plug into the economy, inoculated against productivity by a youth spent experimenting in laboratories instead of building wealth for society. Dealing with real people in the real world.
90% of them have left academia in the last 10-15 years, and 90% of those are functionally unemployed. Grad school does a lousy job of training scientists to be professors (since most of them don't get the good postdoc or tenure track position) and an even worse job of preparing people for real life.
We complain that our societal infrastructure is collapsing, our state capacity is low, our incumbent industries are faltering. Where are the next generation of leaders that can push us forward?
A huge fraction of them were conveyor-belted into academia by schooling systems that have no mechanism to channel ambition and 99+%ile competence, and our universities are mostly hedge funds with glorified psych wards/academic departments on the side, running an insane pyramid scheme that exists only to prove, over and over again, the Shirky Principle: Institutions will try to preserve the problem to which they are the solution.
We literally poured trillions of dollars into state-funded research and effectively neutered our elite civilian technical leadership development programs.
I recently asked a few academic friends if they were finding AI useful in accelerating their programs of research. You know, to solve the Big Problem their entire field exists to solve?
Some were. But most were complaining about how it created pedagogical issues, explaining how their department decided to ban the use of AI, or how it took 18 months to approve an enterprise account, or how they tried Gemini 2 on a puzzle a year ago and it wasn't very helpful, or repeating nonsense about datacenters and water consumption, or supposed IP theft by model companies, as though that has any bearing on their ability to, eg, accelerate a cure for cancer.
Elon sometimes calls AI a supersonic tsunami - a huge wave you don't see coming. I see it coming. But even the people who you'd think have been waiting for this their entire careers are steadfastly looking in the other direction.