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yeahwhatever10

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I assume they are referring to systems like TPG in Geneva. Basically you buy a pass and when you get on an off a bus or street car there is no checking of payment it is just assumed everyone is "honoring" the agreement to pay. Every once and a while transit cops will board and check that everyone has a pass/has paid somehow and if you get caught not paying it can affect your ability to rent housing etc.

I use it as a SO stand in as well.

What I like about Chatbots vs SO is the ability to keep a running conversation instead of 3+ tabs and tuning the specificity toward my problem.

I've also noticed that if I look up my same question on SO I often find the source code the LLM copied. My fear is that if chatbots kill SO where will the LLM's copied code come from in the future?

There is this group-think on HN today that services are intentionally left out as part of the US trade balance. That confusion likely comes from tax and corporate structures. Ie all those profits are locked into sub-corps, so Apple-Cayman Islands or Google-Ireland (corporate tax havens) which is why they don't show up on the balance sheet as "trade" into the US (typically those sub-corps buy financial assets with those profits). Read the first chapters of Trade Wars are Class Wars for more depth.

You are right about olive oil. So why did he do it? The trade imbalance with Tunisia. Why is there are trade imbalance with Tunisia? US consumers have money to buy products from Tunisia, Tunisian consumers don't have the ability to afford products from the US. Why can't Tunisian's afford US products? This is the central question for every country in the trade war and it has myriad factors, but two of the biggest are: A higher cost US dollar, suppression of wages in countries like Tunisia (and Germany, and China, etc).

How can a model "grow with you"? Do current models do this other than adding the full conversation to the context window?

This is an application where LLMs should be the obvious choice, it is Machine translation the thing they are supposed to excel at. Why not use them? Likely a lack of data. You would need lots of Kotlin data (I’m sure lots of Java data exists), and the data would need to overlap so the LLM could understand the mapping.