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"If you're unwilling to adapt to the future, you'll justify the past." (James Clear)
English
Marc Timme
9.2K posts
Marc Timme
@MarcTimme
First principles thinking | Future mobility, energy & sustainability | Complex systems dynamics | Data-driven analysis | Mathematics | Physics
Earth (surface mostly) Katılım Kasım 2016
99 Takip Edilen633 Takipçiler
Nächster Versuch mit der KI:
„Wieviele Stifte siehst du?“
Deepseek: gar keine.🫠
Gemini und ChatGPT nur sechs. 🥲
Deutsch
Marc Timme retweetledi
The Sahel is at record temperatures. India is baking at 45°C. 90 dead in Uttar Pradesh from flooding.
This is not a forecast. This is not a warning. This is now. Every week, another record. Every week, more bodies.
English
Marc Timme retweetledi
Achso, das sind keine Wasserschäden in der Uni 🤦 irgendwo wurde einfach eine Gletscherschallkundeklausur geschrieben.
Deutsch
Same temperature difference, just with reversed sign:
10-15 degrees Celsius colder instead of warmer (as is now) end of May, would look like this.
Météovillages@meteovillages
🌡️Puisque tout le monde ne comprends pas trop ce qui se passe, si on prenait les anomalies de cette semaine et qu'on décidait de tout inverser ? Une vague de froid tardive où les minimales seraient 10 à 15°C sous les normales de saison d'une fin mai, ça donnerait ça :
English
Humans are far too short-sighted
Sly 🔎@ykslyy
I don’t think people understand the gravity of what we are looking at in this photo. This should infuriate every single one of us.
English
@PatriotDieter76 82 Mio, davon 27% AfD-Waehler plus deren Kinder, macht ziemlich genau 60 Mio.
Deutsch
Linke müssen immer alles dramatisieren. Dabei geht es doch nur darum, die Mauer wieder aufzubauen und Ostdeutschland in die Unabhängigkeit zu führen.
Coolnasenbaer 👊😁👍@Coolnasenbaer
Für mich klingt das eindeutig nach einer ethnischen Säuberung.
Deutsch
In 5 years,
no one will care about such videos,
because autonomous driving is everywhere.
sladoc@tesla2moon
It’s just another Robotaxi parking. Nothing special here in Houston. $TSLA
English
60 and loving it.
Thank you for all your well wishes 💗
Forte dei Marmi, Tuscany 🇮🇹 English
Free science*
*) has several meanings
Ihtesham Ali@ihtesham2005
A 22-year-old graduate student in Kazakhstan got so angry at journal paywalls in 2011 that she built a pirate website holding 88 million scientific papers, and last month she turned the whole thing into an AI that lets you ask one question and get the actual research as the answer. Her name is Alexandra Elbakyan, and the website is called Sci-Hub. The AI she just launched is called Sci-Bot. It lives at sci-bot.ru and almost nobody outside academia knows it exists yet. Here is the story, because it is one of the strangest things to happen in science publishing in the last 50 years. Elbakyan was born in Almaty in 1988, the year the Soviet Union started to collapse. She taught herself programming at 12. She read Soviet science books that explained things her family used to call miracles. She got into computer security at university and graduated in 2009 with a degree she barely needed because by then she was already a serious hacker. Alexandra moved to Moscow that fall. Then Germany. Then a research internship in the United States. She was working on brain-computer interfaces, the kind of research that requires you to read hundreds of papers a year just to keep up with the field. And every single one of those papers was locked behind a journal paywall that cost between 30 and 50 dollars to read once. She did the math. A graduate student in Kazakhstan could not afford to read science. The first thing she did was learn how to get around the paywalls one paper at a time. She passed the trick around to other students. They asked her for papers constantly. She got tired of doing it manually. So in September 2011, in three days, she wrote a script that automated the whole thing. A user pastes a DOI. The script logs in through a donated institutional credential. The paper comes back free. The website caches it. The next person who asks for that paper gets it instantly because the previous request already saved a copy. That was Sci-Hub. Three days of code. One graduate student. Done. 15 years later, the cache holds 88 million scientific papers. Almost every piece of scholarly literature published before 2020 is sitting on her servers. Researchers in 190 countries use it. Studies in Nature have shown that roughly half of all academic paper downloads worldwide now go through Sci-Hub, not the publishers who actually own the copyrights. Elsevier sued her in 2015 and won a 15 million dollar judgment. She did not pay. The American Chemical Society sued her and won an injunction. She did not comply. Courts in India, France, Russia, and the UK have tried to block the domain. She just moves it. Sci-hub.se. Sci-hub.ru. Sci-hub.ee. The site has had over 20 domains and is still up. Nature put her on its list of the 10 people who mattered most to science in 2016. The New York Times compared her to Edward Snowden. The Verge called her the pirate queen of science. She has not been to the United States in over a decade because she would be arrested at the airport. The Sci-Bot launch in April 2026 is the part that nobody is talking about. She took the 88 million paper database and put a small language model on top of it. You ask a question in plain English. The model searches the entire shadow library, pulls the relevant papers, synthesizes an answer grounded in real citations, and links you to the full text of every source. Free. No login. No institutional credential. No paywall. Three real scientists tested it for a Chemical and Engineering News article last month. They asked it medical and chemistry questions. The radiologist said the answer he got was usable. The chemist said the gaps in recent literature were obvious but the older science was solid. The publisher community is furious. What she built is what the paid academic AI tools are trying to build. Except the paid ones are limited to what their parent publisher legally owns. Hers is limited to almost nothing. Alexandra still lives somewhere in Russia. She does not give her address. She does not do video interviews. She gives talks over Skype with the camera off. She runs the largest illegal library in human history from a laptop and a donation page. A graduate student who could not afford to read science built the system the entire scientific community now quietly depends on. The publishers have spent a decade trying to shut her down. She just shipped an AI that makes their entire business model outdated.
English
Marc Timme retweetledi
A 22-year-old graduate student in Kazakhstan got so angry at journal paywalls in 2011 that she built a pirate website holding 88 million scientific papers, and last month she turned the whole thing into an AI that lets you ask one question and get the actual research as the answer.
Her name is Alexandra Elbakyan, and the website is called Sci-Hub.
The AI she just launched is called Sci-Bot. It lives at sci-bot.ru and almost nobody outside academia knows it exists yet.
Here is the story, because it is one of the strangest things to happen in science publishing in the last 50 years.
Elbakyan was born in Almaty in 1988, the year the Soviet Union started to collapse. She taught herself programming at 12. She read Soviet science books that explained things her family used to call miracles. She got into computer security at university and graduated in 2009 with a degree she barely needed because by then she was already a serious hacker.
Alexandra moved to Moscow that fall. Then Germany. Then a research internship in the United States. She was working on brain-computer interfaces, the kind of research that requires you to read hundreds of papers a year just to keep up with the field.
And every single one of those papers was locked behind a journal paywall that cost between 30 and 50 dollars to read once.
She did the math. A graduate student in Kazakhstan could not afford to read science.
The first thing she did was learn how to get around the paywalls one paper at a time. She passed the trick around to other students. They asked her for papers constantly. She got tired of doing it manually.
So in September 2011, in three days, she wrote a script that automated the whole thing. A user pastes a DOI. The script logs in through a donated institutional credential. The paper comes back free. The website caches it.
The next person who asks for that paper gets it instantly because the previous request already saved a copy.
That was Sci-Hub. Three days of code. One graduate student. Done.
15 years later, the cache holds 88 million scientific papers. Almost every piece of scholarly literature published before 2020 is sitting on her servers. Researchers in 190 countries use it. Studies in Nature have shown that roughly half of all academic paper downloads worldwide now go through Sci-Hub, not the publishers who actually own the copyrights.
Elsevier sued her in 2015 and won a 15 million dollar judgment. She did not pay. The American Chemical Society sued her and won an injunction. She did not comply. Courts in India, France, Russia, and the UK have tried to block the domain. She just moves it. Sci-hub.se. Sci-hub.ru. Sci-hub.ee. The site has had over 20 domains and is still up.
Nature put her on its list of the 10 people who mattered most to science in 2016. The New York Times compared her to Edward Snowden. The Verge called her the pirate queen of science.
She has not been to the United States in over a decade because she would be arrested at the airport.
The Sci-Bot launch in April 2026 is the part that nobody is talking about.
She took the 88 million paper database and put a small language model on top of it. You ask a question in plain English. The model searches the entire shadow library, pulls the relevant papers, synthesizes an answer grounded in real citations, and links you to the full text of every source. Free. No login. No institutional credential. No paywall.
Three real scientists tested it for a Chemical and Engineering News article last month. They asked it medical and chemistry questions. The radiologist said the answer he got was usable. The chemist said the gaps in recent literature were obvious but the older science was solid. The publisher community is furious.
What she built is what the paid academic AI tools are trying to build. Except the paid ones are limited to what their parent publisher legally owns. Hers is limited to almost nothing.
Alexandra still lives somewhere in Russia. She does not give her address. She does not do video interviews. She gives talks over Skype with the camera off. She runs the largest illegal library in human history from a laptop and a donation page.
A graduate student who could not afford to read science built the system the entire scientific community now quietly depends on.
The publishers have spent a decade trying to shut her down.
She just shipped an AI that makes their entire business model outdated.
English
when you invest
do it carefully
AleXandra Merz 🇺🇲@TeslaBoomerMama
🚀 SpaceX - 30% Retail I hear some wondering "what Elon does to loyal Tesla investors". The answer is much simpler than you think: the 30% retail allocation is a "never been seen before" event. Now the big question is whether the banks will make this happen. From Casual Finance, over on YT, who is anything but an Elon fan: youtu.be/-X6YzlY_8tM?si…
English
@stevenstrogatz perhaps it's a double coincidence,
humanity
- chose a set of units
- gave 100 billion of it to one individual
English
Just thinking about orders of magnitude today. To the nearest power of 10, our brains have about 100 billion neurons, the Milky Way galaxy has about 100 billion stars, and the richest person on earth has about 100 billion dollars. Things start getting interesting at 100 billion.
English
Mars,
assuming 71% water and an atmosphere that allows plants greening the land areas
Fermat's Library@fermatslibrary
Here's a map of Mars if, like Earth, it were covered by water on 71% of its surface.
English