-273.15 °C

It’s a dwarf element.

Or a duck.

No, so try to keep it short.

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

Ok, that’s interesting! I didn’t realize there was controversy around this definition.

Apparently not though:

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.

Ninja, IRA.

The color was originally going to be called beccapurple, but Meyer asked that it instead be named rebeccapurple, as his daughter had wanted to be called Rebecca once she had turned six. She had said that Becca was a “baby name,” and that once she had turned six, she wanted to be called Rebecca. As Eric Meyer put it, “She made it to six. For almost twelve hours, she was six. So Rebecca it is and must be.”

Or a space key.

But you get two Fn keys next to each other, so it’s got that going for it.

We truly are lost…

They’re made that way so you don’t accidentally connect a gas cylinder to a water line.

In the “Fantasy” section.

Simon Sebastian - Into The Atmosphere

You know what you did.

That really was great, thank you!

The image just loaded very slowly for me (i.e. after about 10 seconds). In some posts it never loads at all, but there is a thumbnail in the main screen. This is on sync.

It also propels itself forward by discharging high velocity watermarks.

Tomato / tomato.

Citing measurements made at the 1926 Iowa State Fair, they reported that the peak power over a few seconds has been measured to be as high as 14.88 hp (11.10 kW) and also observed that for sustained activity, a work rate of about 1 hp (0.75 kW) per horse is consistent with agricultural advice from both the 19th and 20th centuries […]

Sounds to me like the 1 hp unit is fair, after all.