“En nu ligt er dus een jongeman in het ziekenhuis, wil graag thuis sterven, maar dat kan niet. Dat heeft de ZORGVERZEKERAAR besloten.” Oproep nummer 28.637: Vervang dit zorgstelsel !!!! (linkedin.com/posts/carolien-…)

Only four countries in the world are now not signed up to the Paris climate change agreement: Iran, Libya, Yemen and the United States. nytimes.com/2025/01/22/opini…

Doesn't get more bizarre than this!

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.

Wow. A bishop just called out Trump and Vance to their faces at church. “The vast majority of immigrants are not criminals. May I ask you to have mercy, Mr. President, on those whose children fear their parents will be taken away.”

Max Dupain Tug “Hero” towing the sailing ship “Pamir”, 1947