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Writing in public is still underrated
If you have ideas but never write them down, this post is for you.
Dec 1
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Daniel Paleka
27
2
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November 2025
Underrated reasons to be thankful: AI research edition
I experienced my first Thanksgiving and thus had to write this.
Nov 28
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Daniel Paleka
15
Even superhuman AI forecasters are only as good as your questions
Predicting the future is difficult. It might become easier. What then?
Nov 27
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Daniel Paleka
5
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What’s the deal with RL and forecasting?
Prediction is difficult, especially about the future.
Nov 20
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Daniel Paleka
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Contra Dwarkesh on RL sample-efficiency via information theory
Supervised learning teaches the model more bits/sample than RL; but it's not the right way to think about it.
Nov 18
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Daniel Paleka
9
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16 questions about reinforcement learning
AlphaProof constructed a large curriculum of tasks by randomly misformalizing math olympiad problems; creating many problems of varying difficulty, from…
Nov 18
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Daniel Paleka
4
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Obvious ways RL can fail
Reinforcement learning works for some things and not for others. Why?
Nov 15
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Daniel Paleka
2
The two types of LLM preferences
The standard approach to measure values or preferences of LLMs is to:
Nov 10
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Daniel Paleka
17
October 2025 AI safety news: Adaptive attacks, Tokenization, Impossible tasks
These days, I imagine it is rough for researchers working on LLM defenses.
Nov 7
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Daniel Paleka
3
You are going to get priced out of the best AI coding tools
The best AI tools will become far more expensive. Andy Warhol famously said:
Nov 5
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Daniel Paleka
15
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A/B testing could lead LLMs to retain users instead of helping them
OpenAI’s updates of GPT-4o in April 2025 famously induced absurd levels of sycophancy: the model would agree with everything users would say, no matter…
Nov 2
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Daniel Paleka
11
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July 2025
Memetic optimization #1: brainrot
I. I don’t use social media except for X, and even there I peruse only the Following tab.
Jul 10
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Daniel Paleka
9
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