Tag: Reasoning
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The world is bigger than you can imagine – by Scott Sumner
Most economies are very large and complex, and even relatively free market economies have extensive government intervention. This complexity allows people to find evidence to support almost any position on the question of optimal policy regimes. In a country that is viewed as relatively successful, it is almost always possible to find a few examples…
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Satisficing vs Maximizing
Maximizers tend to be less satisfied with their decisions and their lives. They are typically less happy, more prone to regret and more likely to compare themselves endlessly with others. Satisficers don’t necessarily have low standards. Their standard is “good enough for me” rather than “the best out there,” and that makes it possible to…
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Woozle effect – Wikipedia
The Woozle effect, also known as evidence by citation, occurs when a source is widely cited for a claim that the source does not adequately support, giving said claim undeserved credibility. If results are not replicated and no one notices that a key claim was never well-supported in its original publication, faulty assumptions may affect…
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A quote from Boaz Barak, Gabriel Wu, Jeremy Chen and Manas Joglekar
One way to think of confessions is that we are giving the model access to an “anonymous tip line” where it can turn itself in by presenting incriminating evidence of misbehavior. But unlike real-world tip lines, if the model acted badly in the original task, it can collect the reward for turning itself in while…
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The Goon Squad, by Daniel Kolitz
From these companies’ perspective, the ideal consumer would do literally nothing but goon, lose at gambling, and maybe watch other people play video games. You can try to fight this. You can read a book, pet a dog, buy a stupid box to lock away your phone. You can make a joke about the box,…
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The hard part: A quote from Jason Gorman
The hard part of computer programming isn’t expressing what we want the machine to do in code. The hard part is turning human thinking — with all its wooliness and ambiguity and contradictions — into computational thinking that is logically precise and unambiguous, and that can then be expressed formally in the syntax of a…
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Interleaved Thinking
Interleaved thinking is essential for LLM agents: it means alternating between explicit reasoning and tool use, while carrying that reasoning forward between steps.This process significantly enhances planning, self‑correction, and reliability in long workflows. — Read on simonwillison.net/2025/Nov/3/minimax/