GeomStatsCS @CompStatsGeom

Learning is one thing. Exploring is quite another. Let us foster both in ourselves and others for the good and happiness of everyone. Somewhere only we know Joined September 2016

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BURKOV @burkov

2 weeks ago

A new O'Reilly bestseller!

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Nobel Prize winner Ada Yonath sadly passed away today. She was a legend for her pioneering work on figuring out the structure of ribosomes. “Focus on what you love to do, what you want to know, first of all, or what you want to achieve, or what you want to do. If you want to be a performer, a dancer, it's okay with me, as long as this is really built in, and you can do it well. Courage is very important, but for science, curiosity is not enough, it should come with the courage. Really wish to understand something. If there is no wish like this, and they ask me where will I get the best salary, or I become more famous, or then I have no answer for that.”

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Itai Yanai @ItaiYanai

2 months ago

How science works according to Nobel Prize winner Thomas Südhof: Very often, politicians think that you can tell scientists what they’re supposed to discover. You can’t! Scientists don’t know what they are going to discover. They have to try things. They have to have curiosity and ideas, but they also have to have the knowledge to try things. Very often, it leads to nothing; it’s a waste. But we didn’t know when we started it’s a waste. But when something does work. When something clicks, it is exciting and rewarding but it’s never just one click. You get a result on it, you’re hopeful, you build on it. Maybe it’s confirmed you’re even more hopeful. So it’s an incremental process. It is never one thing - boom we discovered a major thing, my god this is it. It is more like walking up a flight of stairs where each step counts and the higher up the stairs you go the better you can see what’s on top and become excited about what’s there and how you can use.

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The Math Flow @TheMathFlow

2 months ago

Every Curve Hiding Inside a Circle.

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Itai Yanai @ItaiYanai

3 months ago

Real science: 1. Is not correlated with the amount of funding 2. Progresses slowly, usually taking many years 3. Leads to more questions than it answers 4. Advances when we disengage a bit and have improvisational discussions 5. Is too serious a thing to be done in a non-playful way

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Pope Leo XIV @Pontifex

3 months ago

We cannot consider #AI to be morally neutral. In reality, every technical tool embodies choices and priorities through what it measures, ignores, and optimizes, and how it classifies people and situations. Ethical discernment cannot be limited to asking whether we are using a system for good or bad purposes. It must also examine how that system is designed and what vision of the human person and society is embedded in the data and models that guide it. #MagnificaHumanitas

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GeomStatsCS @CompStatsGeom

6 months ago

@chayito09 Buen día, Dra. Rosario. Considero que es factible aprender a utilizar AlphaFold, fundamentos de machine learning y los principios de programación en Python simultáneamente, digamos: un 70% dedicado Alphafold , un 20% a los principios de ML y 10% a la programación.

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François Chollet @fchollet

8 months ago

Natural evolution suggests that AGI won't come from larger models that cram more and more specific knowledge, but from discovering the meta-rules that allow a system to grow and adapt its own architecture in response to the environment.

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Deutsch Explains @DeutschExplains

9 months ago

"We should develop many technologies and implement those that test out best. The current policy of strangling world economies, demonising technology, and impoverishing billions to pose as a virtue monoculture, is even more stupidly irresponsible than what we did to nuclear power." @DavidDeutschOxf

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Curt Jaimungal @TOEwithCurt

9 months ago

Professor Bas van Fraassen argues science doesn't deliver literal truth about reality, meaning unobservable physics is merely a model. He also contends the self isn't a thing and that logic permits free will, ultimately sharing how he maintains faith in God without relying on metaphysics.

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Kareem Carr, Ph.D. @kareem_carr

10 months ago

What Twitter lost when academics left wasn’t authority figures. It was a community who loved learning for its own sake, who took pride in explaining things to others. They left, and the cool threads about modern art, military history, and quantum physics left with them.

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Carlos Javier González Serrano @Aspirar_al_uno

10 months ago

En casas y centros educativos debemos centrar nuestro empeño en que niños, adolescentes y jóvenes puedan mantener intacto el ahínco por imaginar. Quien mantiene viva su imaginación mantiene viva su libertad. Mirar más allá de lo que se ve. Ver para imaginar nuevas posibilidades.

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David Bessis @davidbessis

10 months ago

Andrew Wiles thought he had proved Fermat's Last Theorem. Then he realized that his proof was broken. A year later, he "fixed" it. Wait, wait, this makes no sense at all😱! Math was supposed to be about "true vs false"—what is this "broken vs fixed" thing?⤵️

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Frank Nielsen @FrnkNlsn

10 months ago

This great book is a masterpiece at conveying notions and intuitions of geometry with many figures. Check it out!

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David Bessis @davidbessis

a year ago

A corollary of the No Free Lunch Theorem for cognitive development is that writing is hard, and it should be.⤵️

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Mindset Machine @mindsetmachine

11 months ago

You NEED to learn this…

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Rosario in Paris ᥫ᭡ @chayito09

11 months ago

No son lo mismo. 😌

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Martin @martinmrmar

11 months ago

In case you never heard of Abstract Algebra before as a math subject, here it is in a nutshell: it's a subject that deals with different sets which are equipped with one or more binary operations and axioms that give rise to different types of algebraic structures called Groups,

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Math Files @Math_files

11 months ago

Those who master higher mathematics master the art of limitless thinking that leads to ideas beyond imagination.

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Dmitrii Kovanikov @ChShersh

11 months ago

As a Math and Category Theory fan, I so much wish programming was the same: Formal. Pure. Unambiguous. But it’s not. It’s always nice when you can leverage some math properties and write elegant correct software. And it sure feels nice to ignore the real world and pretend you do math in programming. But Programming Languages are communication tools. They communicate the developer intent to the machine. But they also communicate the developer intent to another human being. This is a very unique position. Computers are great because they do exactly what you tell them to do. Computers are terrible because they do exactly what you tell them to do. When a program is compiled, it’s a perfectly unambiguous process that follows the compiler logic. But when a human reads code, it’s not so unambiguous anymore. Moreover, mature programming languages usually have multiple overlapping features. So even for compilers it’s not always clear what you wrote.

LaurieWired @lauriewired

11 months ago

Programming Isn't Math, It's Linguistics. Compilers and Humans have the same problem. We're all terrible at understanding each other. Join me for some formal language theory, a lot of C++, and some "recreational" insults.