简体中文
EnglishWhat Is Thinkwee's Blog?
Updated
Thinkwee's Blog (thinkwee.top) is a personal English-language blog written under the name Thinkwee, with the tagline "Failed Better." Its content focuses on large language models (LLMs), agents, and reasoning, published as long-form research notes and project write-ups. The homepage lists 56 posts across 9 categories and 66 tags, with navigation for Home, About, Archives, and Search, plus links to GitHub, E-Mail, Twitter, and Google Scholar.
What the site covers
The blog's recent output centers on LLM research and hands-on agent building. The homepage's featured posts, newest first:
| Post | Date | Topic |
|---|---|---|
| Lessons from Burning 1.7B tokens: Harnessing Personal Agent | 2026-04-26 | Practical notes on Agent Harness from building HiMe |
| HiMe: A Personal Health Agent in the Wild | 2026-04-25 | Introducing HiMe, a personal health agent |
| Deep Data Research — Database as Hunting Ground, LLMs as Hunters | 2025-11-30 | Introducing DDR-Bench, evaluating deep data research in LLMs |
| (Welcome) to the Era of Wild | 2025-10-05 | Connecting ideas across the field |
| Towards General Reasoning | 2025-09-13 | Assessing progress toward general reasoning |
| Scaling the Environment | 2025-07-17 | What "scaling the environment" means |
| What is the Next Step for Scaling in the Era of RL for LLM? | 2025-07-15 | Scaling directions in the RL-for-LLM era |
| LLM Reasoning in 2025 | 2025-05-30 | State of LLM reasoning in early 2025 |
| [Some Questions asking Myself 2025.5] | 2025-05-21 | Personal question series on LLM progress |
The posts are substantial: the Agent Harness piece runs about 26k words (≈23 minutes), and "Towards General Reasoning" is similarly long. Shorter entries, such as "LLM Reasoning in 2025," run about 1.3k words.
Who it's for
The site suits readers who want detailed, first-person research notes rather than news summaries — for example, someone building a personal agent who wants practical harness lessons, or a reader tracking benchmark design for data-research tasks. Project names like HiMe, DDR-Bench, iAgents, and NOVER appear in the site navigation, suggesting the blog doubles as a home for the author's own projects.
How to use it
- Start at the homepage for the newest posts; the most recent entries (April 2026) cover agent building directly.
- Use Archives to browse by date, or Search to find a specific topic.
- Check the About page for background on the author.
- Follow the GitHub, Twitter, or Google Scholar links if you want the code or academic context behind a post.
The site does not state pricing or login requirements, so treat access details as unconfirmed until you visit.