Eric Zhao
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A blog with research and random thoughts on learning, games, and scale.
What We Do In The Shadows (Part 1/3)
March 27, 2025
A gentle intro to quantum and the start of a 3-part blog about shadow tomography.
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Is Your Weatherman Lying To You?
March 6, 2025
Why calibration creates perverse incentives and how to fix it. In Twitter-speak: why even aligned AGI will lie about the weather.
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When Should I Finetune? A Finegrained Answer.
March 3, 2025
I ran a large-scale study of why finetuning struggles more with knowledge injection than task customization (and broke a rate-limiter).
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Multi-Distribution Learning in 2025
March 1, 2025
A gentle intro into the basics and history of multi-distribution learning. Also, some cool new results by the community.
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Why We Can't Escape Brute-Force Search
February 28, 2025
Random sampling works better than you think: Gemini 1.5 = o1. The secret? Self-verification magically gets easier with scale.
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I'm Getting Engaged!
February 24, 2025
How do digital services balance between optimizing engagement and their other goals? A formal model, fun interest rates, and a cool paradox.
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