Gr8Xit

Breaking: Last night thieves entered the Drents Museum in Assen, The Netherlands, with the use of explosives. They got away with precious objects from the ehibition 'Dacia - Realm of Gold and Silver'. The display features treasures from the ancient kingdom of Dacia. What a horror

Doesn't get more bizarre than this!

"Tatenloses Abwarten und stumpfes Zuschauen sind keine christlichen Haltungen." (Dittrich Bonhoeffer. German theologist and freedom fighter, executed by order of Hitler april 9, 1945)

A massive study involving more than 14,000 police officers found that implicit bias training had no effect on “racial and ethnic disparities in stops, arrests, summonses, frisks, searches, and/or use of force.” [Link below.]

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.