corpus.blog
56,966 blogs · [ { "id": "01a0d7d5-248c-7260-9e86-e74e276819a0", "title": "iAgent: LLM Agent as a Shield between User and Recommender Systems Overlooks the Literature on User-Side Recommender Systems", "url": "https://data-processing.club/iagent/", "published_at": "2026-09-18T09:08:11+00:00" }, { "id": "01a08768-9032-700b-a708-68d737531163", "title": "Model Collapse: AI and diversity", "url": "https://data-processing.club/collapse/", "published_at": "2026-06-22T08:08:33+00:00" }, { "id": "01a08768-9032-700b-a708-68d737d17f3e", "title": "Constant-Time Sampling And Updates for Discrete Distributions", "url": "https://data-processing.club/constant/", "published_at": "2026-04-20T22:10:15+00:00" }, { "id": "01a08768-9032-700b-a708-68d7386c60cd", "title": "Stop Leaving Your Success to Luck: A Researcher’s Guide to Hacking Randomness", "url": "https://data-processing.club/randomness/", "published_at": "2026-04-06T22:12:17+00:00" }, { "id": "01a08768-9032-700b-a708-68d738b117d8", "title": "Past Becomes Important in the Era of AI", "url": "https://data-processing.club/past/", "published_at": "2026-03-30T22:16:40+00:00" }, { "id": "01a08768-9032-700b-a708-68d739664b33", "title": "Why AI Progress Will Stall", "url": "https://data-processing.club/stall/", "published_at": "2026-03-23T22:14:14+00:00" }, { "id": "01a08768-9032-700b-a708-68d739d99c50", "title": "How LLMs Feel Language", "url": "https://data-processing.club/cognition/", "published_at": "2026-03-16T23:01:11+00:00" }, { "id": "01a08768-9032-700b-a708-68d739dc460f", "title": "How to Survive the AI Revolution", "url": "https://data-processing.club/survive/", "published_at": "2026-03-09T22:24:11+00:00" }, { "id": "01a08768-9032-700b-a708-68d73aa77178", "title": "Model Merge Explained: Build Models without Training", "url": "https://data-processing.club/merge/", "published_at": "2026-03-02T22:24:56+00:00" }, { "id": "01a08768-9032-700b-a708-68d73afb601a", "title": "Why Your Brain Matters in the Era of AI: You Can’t Outsource Intuition", "url": "https://data-processing.club/intuition/", "published_at": "2026-02-23T22:15:51+00:00" }, { "id": "01a08768-9032-700b-a708-68d73ba52407", "title": "Transformers are RNNs: A Kernel Perspective", "url": "https://data-processing.club/transformers-are-rnns/", "published_at": "2026-02-16T22:11:13+00:00" }, { "id": "01a0c506-39b3-7251-b790-165b8b4ffa15", "title": "Sorting with LLMs", "url": "https://data-processing.club/llmsort/", "published_at": "2026-02-09T22:28:47+00:00" }, { "id": "01a0c506-39b3-7251-b790-165b8b6d1516", "title": "Speculative Decoding Explained", "url": "https://data-processing.club/speculative/", "published_at": "2026-02-02T22:13:59+00:00" }, { "id": "01a0c506-39b3-7251-b790-165b8bf1bc17", "title": "Even GPT-5.2 Can’t Count to Five", "url": "https://data-processing.club/zeh/", "published_at": "2026-01-26T22:39:38+00:00" }, { "id": "01a0c506-39b3-7251-b790-165b8cd8596a", "title": "One Training Example Is All You Need for Reasoning", "url": "https://data-processing.club/onedata/", "published_at": "2026-01-19T22:30:02+00:00" }, { "id": "01a0c506-39b3-7251-b790-165b8d29c27f", "title": "How LLMs Really Do Arithmetic", "url": "https://data-processing.club/llmmath/", "published_at": "2026-01-12T22:16:54+00:00" }, { "id": "01a0c506-39b3-7251-b790-165b8d4b0d6c", "title": "Break the Lock-In: Carry Your Preferences Anywhere", "url": "https://data-processing.club/pretender/", "published_at": "2025-12-27T09:11:43+00:00" }, { "id": "01a0c506-39b3-7251-b790-165b8ddb6766", "title": "TwoNN Intrinsic Dimension Explained: Python and Visual Illustrations", "url": "https://data-processing.club/twonn/", "published_at": "2025-12-23T09:55:07+00:00" }, { "id": "01a0c506-39b3-7251-b790-165b8ec1695b", "title": "Fisher Information Explained: Python and Visual Illustrations", "url": "https://data-processing.club/fisher/", "published_at": "2025-12-01T02:52:28+00:00" }, { "id": "01a0c506-39b3-7251-b790-165b8f2f683d", "title": "Attention in LLMs and Extrapolation", "url": "https://data-processing.club/heads/", "published_at": "2025-10-02T10:30:40+00:00" }, { "id": "01a0c517-99d7-73e7-b5d9-42978f6e262a", "title": "Interestingness First Classifiers", "url": "https://data-processing.club/eureka/", "published_at": "2025-08-28T08:05:33+00:00" }, { "id": "01a0c517-99d7-73e7-b5d9-42978f8ea7dc", "title": "Deceptive and Lazy AIs: When Language Models Learn to Mislead", "url": "https://data-processing.club/mislead/", "published_at": "2025-06-23T08:24:21+00:00" }, { "id": "01a0c517-99d7-73e7-b5d9-429790109253", "title": "Word Tour: One-dimensional Word Embeddings via the Traveling Salesman Problem", "url": "https://data-processing.club/1dim/", "published_at": "2025-04-15T00:45:20+00:00" }, { "id": "01a0c517-99d7-73e7-b5d9-429790b1d5df", "title": "Hack Your Feed: Take Control of Your Recommendations", "url": "https://data-processing.club/consul/", "published_at": "2025-04-08T00:21:37+00:00" }, { "id": "01a0c517-99d7-73e7-b5d9-4297916d8ef0", "title": "A Gentle Introduction to Machine Learning Theory", "url": "https://data-processing.club/theory/", "published_at": "2025-03-19T01:27:14+00:00" }, { "id": "01a0c517-99d7-73e7-b5d9-429792293773", "title": "The Hidden Information AI Understands but Humans Miss", "url": "https://data-processing.club/superai/", "published_at": "2025-01-16T00:25:24+00:00" }, { "id": "01a0c517-99d7-73e7-b5d9-429792624cdc", "title": "An Intuitive Proof That Every Real Symmetric Matrix Can Be Diagonalized by an Orthogonal Matrix", "url": "https://data-processing.club/spectra/", "published_at": "2021-03-18T05:47:00+00:00" } ] posts Claim your blog
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2026

iAgent: LLM Agent as a Shield between User and Recommender Systems Overlooks the Literature on User-Side Recommender Systemsoriginal ↗
18 Sept 2026
Model Collapse: AI and diversityoriginal ↗
22 Jun 2026
Constant-Time Sampling And Updates for Discrete Distributionsoriginal ↗
20 Apr 2026
Stop Leaving Your Success to Luck: A Researcher’s Guide to Hacking Randomnessoriginal ↗
6 Apr 2026
Past Becomes Important in the Era of AIoriginal ↗
30 Mar 2026
Why AI Progress Will Stalloriginal ↗
23 Mar 2026
How LLMs Feel Languageoriginal ↗
16 Mar 2026
How to Survive the AI Revolutionoriginal ↗
9 Mar 2026
Model Merge Explained: Build Models without Trainingoriginal ↗
2 Mar 2026
Why Your Brain Matters in the Era of AI: You Can’t Outsource Intuitionoriginal ↗
23 Feb 2026
Transformers are RNNs: A Kernel Perspectiveoriginal ↗
16 Feb 2026
Sorting with LLMsoriginal ↗
9 Feb 2026
Speculative Decoding Explainedoriginal ↗
2 Feb 2026
Even GPT-5.2 Can’t Count to Fiveoriginal ↗
26 Jan 2026
One Training Example Is All You Need for Reasoningoriginal ↗
19 Jan 2026
How LLMs Really Do Arithmeticoriginal ↗
12 Jan 2026

2025

Break the Lock-In: Carry Your Preferences Anywhereoriginal ↗
27 Dec 2025
TwoNN Intrinsic Dimension Explained: Python and Visual Illustrationsoriginal ↗
23 Dec 2025
Fisher Information Explained: Python and Visual Illustrationsoriginal ↗
1 Dec 2025
Attention in LLMs and Extrapolationoriginal ↗
2 Oct 2025
Interestingness First Classifiersoriginal ↗
28 Aug 2025
Deceptive and Lazy AIs: When Language Models Learn to Misleadoriginal ↗
23 Jun 2025
Word Tour: One-dimensional Word Embeddings via the Traveling Salesman Problemoriginal ↗
15 Apr 2025
Hack Your Feed: Take Control of Your Recommendationsoriginal ↗
8 Apr 2025
A Gentle Introduction to Machine Learning Theoryoriginal ↗
19 Mar 2025
The Hidden Information AI Understands but Humans Missoriginal ↗
16 Jan 2025

2021

An Intuitive Proof That Every Real Symmetric Matrix Can Be Diagonalized by an Orthogonal Matrixoriginal ↗
18 Mar 2021