“Only one important thing has happened in the last three days, and that is that nothing has happened.” – Sherlock Holmes

“Physicians often pride themselves on curing all their patients with a remedy that they use. But the first thing to ask them is whether they have tried doing nothing, i.e., not treating other patients; for how can they otherwise know whether the remedy or nature cured them?” – Sherlock Holmes

“We did a survey of developers at Anthropic and saw a self-reported 50% productivity boost from the 60% of those surveyed who used Claude in their work. But then things like the METR study would seem to contradict that. We need better data and, specifically, instrumentation for developers inside and outside the AI labs to see what is going on.” – Jack Clark, co-founder of Anthropic, on whether AI tools actually improve productivity or not (20260110)

“Construction in progress (CIP) is now an accounting trick that I believe is already being used. Capital equipment not yet “placed into service” does not start depreciating or counting against income. And it can be there forever. I imagine a lot of stranded assets will be hidden in CIP to protect income, and I think we are already seeing that potential.” – Michael Burry (20260110)

Negative evidence and events that don’t happen, matter when something implies they should be present or happen.

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“There’s a deeper reason LLMs are at a permanent handicap here: the thing you’re trying to learn is not fully contained in the text. They can catch up by sheer brute force, but are far more inefficient than humans, and the debt is coming due now. When an investor publishes a thesis, consider what is not in it: the position sizing that limits the exposure; the timing that avoided telegraphing intent; strategic concealment; how the thesis itself is written to not move the market against them; what they’d actually do if proved wrong tomorrow. Text is the residue of action. The real competence is the counterfactual recursive loop: what would I do if they do this?; what does my move cause them to do next?; what does it reveal about me? That loop is the engine of adversarial expertise, and it’s weakly revealed by corpora. This is why models can recite game theory but still write the “nice email” that leaks leverage. They’ve learned the language of strategy more than the dynamics of strategy. This is what domain expertise really is. Not a larger knowledge base. Not faster reasoning. It’s a high-resolution simulation of an ecosystem of agents who are all simultaneously modeling each other. And that simulation lives in heads, not in documents. The text is just the move that got documented. The theory that generated it is called skill.” – Ankit Maloo (20260208)

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