Soil data seems to sharply follow boundaries of many countries. This shows how fragmented this data is. This is in contrast with eg. orography which one can just get from satellites.
One thing I can say about the Wolfram language is that is actually Lisp with syntax that looks weird at first sight.
However when you look at rule processing, it's like pattern matching on steroids that I haven't seen in lisp world. It looks quite powerful and applies throughout the language (eg the "Query" book).
Too bad the whole language is closed and so heavily licensed .
I also use the Kagi assistant, and one thing that this post inspired me to do was to test out some of the models with and without web access, and I encourage you to do the same. Qwen, for example, behaves completely differently when it's summarizing searches vs operating without that tool. I assume this has to do with how Kagi tells it to respond, but it seems to impact some models more than others.
I think that would require some testing and evaluation according to personal preference. My opinion is that Qwen 3 and Deepseek Chat v3.1 become much more concise when summarizing searches, but much less detailed. When used without the web search tool, they become more verbose (and express more "personality"), which may be less desirable in some contexts, but they also gave more informative answers. With Kimi K2 I seem to find the opposite; it really does well when analyzing search results (and really likes inserting tables to give break down its findings), and its "offline" version was much less detailed.
Oh, and an interesting finding: Kagi's selector indicates that they're offering Deepseek Chat v3.1's non-reasoning version, but when I ran it without web search it appears to have messed up and output some of its chain of thought, so it clearly is thinking.
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