

America is owned and operated by rich people. They couldn’t make money running passenger trains so once we were ordered to invest in car-only infrastructure the trains were mostly disbanded and shut down. There’s a ghost of a system left with just a few corridors that could be considered bare minimum service in a developed nation.
How many kilometers of high speed rail does the US have? Zero. We have some that gets close, but not really.
My mid-sized city has two trains per day, one each direction, and they both leave between 1am and 2am. In Germany you would have 30+ trains per day in a city this size, likely a notable S-Bahn network, and also some trams and/or U-Bahns in the city to compliment busses. I’ve got busses in town, but they operated about every 30-45 minutes each, with evening service being every 60 minutes. Here’s the fun part: our busses are the most used public transit system for a mid-sized city in the US right now and it’s still pathetic when compared to even basic services in Europe.
DB needs to keep getting investment. Germany must get to a dedicated passenger rail network to separate out the freight trains. DB should also be re-nationalized and operated as a national service, not a for profit system that will inevitably fail as a commercial venture, leading to yet more terrible service. Here’s hoping the latest German Parliament follows through on investment money that they pushed through at the start of the year! Also, keep the Deutschland Karte! That’s such a great resource for everyone.
They may or may not be used here. You could use LLMs to parse the content of sites being visited by web clients on your network. Then, ask the LLM whether the content includes certain topics or is work related. Based on the results of that, you add/remove the site from a blacklist.
Is this better than just string matching? I would say likely so, though more stochastic in the results. It would let the LLM provide summaries/context of the pages, and not by just confined to specific strings in a list. It might be better ramble to handle context and complexity of the desired outcomes.
For example, there was a paleontology conference at a hotel once that was stuck behind a firewall blacklisting all sites with the string ‘bone’ in them. Completely ridiculous. The string ‘bone’ has different meanings based upon context, which simple string matching cannot provide, but an LLM might be better and identifying and acting accordingly.