Proxima Fusion seeks €2 Billion to build a nuclear fusion test facility

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The magic is in that codify step. LLMs are stateless. If they re-introduce a dependency you explicitly removed yesterday, they'll do it again tomorrow unless you tell them not to. The most common way to close that loop is updating your CLAUDE.md (or equivalent rules file) so the lesson is baked into every future session. A word of caution: the instinct to codify everything into your rules file can backfire (too many instructions is as good as none). The better move is to create a setting where the LLM can easily discover useful context on its own, for example by maintaining an up-to-date docs/ folder (more on this in Level 7).

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The remarkable turn in markets and the narrative around artificial intelligence (AI) adoption is turning, frankly, a bit spooky in early 2026. Citrini Research’s widely read AI doomsday essay coined the phrase “ghost GDP,” with predictions of an almost supernaturally hollowed-out white-collar workforce. But what if AI’s “ghost in the machine” is a slacker, even a Marxist?

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