

I believe the benefit is making the situation more dangerous and unpredictable, which increases the gravity of the concessions Europeans are willing to make just have it all stop.
I believe the benefit is making the situation more dangerous and unpredictable, which increases the gravity of the concessions Europeans are willing to make just have it all stop.
It’s a dwarf element.
What are those older than 45 years?
Gasp! …Legendary earths?
That was a great watch, thanks!
No, so try to keep it short.
T-1000
nearly killed me a good few times
Hmm…
Text below, for those trying to avoid Twitter:
Most people probably don’t realize how bad news China’s Deepseek is for OpenAI.
They’ve come up with a model that matches and even exceeds OpenAI’s latest model o1 on various benchmarks, and they’re charging just 3% of the price.
It’s essentially as if someone had released a mobile on par with the iPhone but was selling it for $30 instead of $1000. It’s this dramatic.
What’s more, they’re releasing it open-source so you even have the option - which OpenAI doesn’t offer - of not using their API at all and running the model for “free” yourself.
If you’re an OpenAI customer today you’re obviously going to start asking yourself some questions, like “wait, why exactly should I be paying 30X more?”. This is pretty transformational stuff, it fundamentally challenges the economics of the market.
It also potentially enables plenty of AI applications that were just completely unaffordable before. Say for instance that you want to build a service that helps people summarize books (random example). In AI parlance the average book is roughly 120,000 tokens (since a “token” is about 3/4 of a word and the average book is roughly 90,000 words). At OpenAI’s prices, processing a single book would cost almost $2 since they change $15 per 1 million token. Deepseek’s API however would cost only $0.07, which means your service can process about 30 books for $2 vs just 1 book with OpenAI: suddenly your book summarizing service is economically viable.
Or say you want to build a service that analyzes codebases for security vulnerabilities. A typical enterprise codebase might be 1 million lines of code, or roughly 4 million tokens. That would cost $60 with OpenAI versus just $2.20 with DeepSeek. At OpenAI’s prices, doing daily security scans would cost $21,900 per year per codebase; with DeepSeek it’s $803.
So basically it looks like the game has changed. All thanks to a Chinese company that just demonstrated how U.S. tech restrictions can backfire spectacularly - by forcing them to build more efficient solutions that they’re now sharing with the world at 3% of OpenAI’s prices. As the saying goes, sometimes pressure creates diamonds.
Last edited 4:23 PM · Jan 21, 2025 · 932.3K Views
“The ice taps back”
When I take off, well, I know I’m gonna be
I’m gonna be the drone who takes off towards you
When I blow up, yeah, I know I’m gonna be
I’m gonna be the drone who blows along with you
If I get jammed, well, I know I’m gonna be
I’m gonna be the drone who gets jammed next to you
And if I reach ya, yeah, I know I’m gonna be
I’m gonna be the drone who’s reaching down to you
[Chorus]
But I would fly six hundred miles
And I would fly four hundred more
Just to be the drone who flew a thousand
Miles to fall down on your door
I’m not the OC, but the Japanese have two good words for related things that are not quite as rare as you’d expect: Hikikomori and Jōhatsu.
The Anglo-Portuguese Treaty of 1373 was signed on 16 June 1373 between King Edward III of England and King Ferdinand I and Queen Leonor of Portugal. It established a treaty of “perpetual friendships, unions [and] alliances” between the two seafaring states, and remains the longest-standing treaty still in effect today.
And they were both built in France.
It can also be pronounced like “strih-neen” (which is more in line with the way it’s pronounced in almost every other language).
Ok, that’s interesting! I didn’t realize there was controversy around this definition.
Today, the International Astronomical Union places the dividing line between brown dwarfs and planets at 13 Jupiter masses. This is the minimum mass required to ignite deuterium fusion.
What ads do you mean? If it was a link to Twitter, I’d understand, but this is to Deutsche Welle.
Wow, that seems to be the very first What If ever!