I was talking with a generative art collector and realized that over the past years I've built a number of things that are not easy to find, and even when found, they are not presented the way I want them to be. Well, here is this Sunday's project: https://art.vrypan.net/
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When US pushed the rest of NATO to increase their spending, the silent assumption was the extra spending will go to the largest defense provider, the US. It turns out, Canada and EU are indeed increasing their defense spending significantly, but due to the current geopolitical landscape, they prefer not to direct these funds towards the US. Of course, Europe and Canada depend on US for various components of their defense, like intelligence, comms, air defense and other sectors, but the trend is there. https://www.ft.com/content/cde7c236-e62f-4ced-9667-7115f16a40e6
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I think we will see a LLM-oriented "programming language" in 2026. Building an app with an AI tool today is more like a craft, and honestly, not much different than what a solution architect does today: Write the specs, give them for implementation to the dev team. You can do it ad hoc (usually the first time) and in more structured ways that makes dev life easier, and the outcome more predictable. My expectation is we will see something like a "LLM software development framework" that lets someone provide the specs to an LLM in a structured, consistent way, and on the other hand, LLMs that offer native support for these frameworks. After all, building with an LLM is an abstraction, not very different than going from assembly to a high-level programming language. Keep in mind we all know that "everything is zeroes and ones for a computer", but 99.9999% of us have no idea how to transform "echo hello world" to this series of zeroes and ones that will cause the screen to print "hello world".
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