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EnglishWhat Does Thinkwee's Blog Say About LLM Reasoning and Scaling?
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Thinkwee's Blog treats LLM reasoning and scaling as a connected research thread rather than separate topics. The core argument, spread across several long-form posts, is that after the "bitter lesson" removed many pre-LLM design crutches, the next scaling frontier is the environment around the model — not just parameters or data. The relevant posts sit in the site's LLM category and range from a 1.3k-word note to 26k-word essays, so you can choose depth by available time.
The main posts in this thread
| Post | Date | Length | What it addresses |
|---|---|---|---|
| Towards General Reasoning | 2025-09-13 (edited 2025-10-07) | ~26k words, ~24 min | How far research has come toward general reasoning, and how far remains |
| What is the Next Step for Scaling in the Era of RL for LLM? | 2025-07-15 (edited 2025-07-16) | ~14k words, ~13 min | What should be scaled next now that pre-LLM redundant designs are gone |
| Scaling the Environment | 2025-07-17 (edited 2025-10-07) | ~10k words, ~9 min | The concept of scaling the environment itself |
| LLM Reasoning in 2025 | 2025-05-30 (edited 2025-07-16) | ~1.3k words, ~1 min | A short snapshot of LLM reasoning in the first half of 2025 |
What each piece argues
Towards General Reasoning
This is the anchor essay. It asks two questions directly: how far have we gone toward general reasoning, and how far are we from it? At roughly 26k words it is the most substantial treatment on the site, and it was revised about a month after publication — worth reading the edited version rather than any cached copy.
The scaling argument
Two posts published two days apart in July 2025 form a pair. "What is the Next Step for Scaling in the Era of RL for LLM?" frames the problem: designs added in the pre-LLM era have been deleted by the bitter lesson, and the question is what to scale up next in the RL era. "Scaling the Environment" then names the answer the author is exploring — the environment as the object of scaling. Read them in that order; the first sets up the question the second elaborates.
LLM Reasoning in 2025
A deliberately short post (about a minute's read) recording a stage-wise observation of what LLM reasoning looked like in early 2025. Useful as a timestamp of the author's view before the longer mid-year essays.
How to read the thread efficiently
- If you have ~25 minutes: start with "Towards General Reasoning," then skim "Scaling the Environment" for the environment-scaling concept.
- If you have ~5 minutes: read "LLM Reasoning in 2025" for the snapshot, then the opening sections of the RL-scaling post.
- If you want the argument's logic: follow chronological order — the May snapshot, the July scaling pair, then the September general-reasoning essay.
Context worth knowing
These posts sit alongside the author's applied work. The site's homepage lists projects including HiMe (a personal health agent) and DDR-Bench (deep data research evaluation), and the most recent posts — "Lessons from Burning 1.7B tokens: Harnessing Personal Agent" (2026-04-26) and "HiMe: A Personal Health Agent in the Wild" (2026-04-25) — describe practical notes from building those systems. The reasoning and scaling essays are the theoretical side of the same research program, so reading them together gives a fuller picture than either alone.
One caveat: the site provides no stated publication schedule or peer-review status for these essays. They read as research notes and personal arguments rather than formal papers, so treat specific claims as the author's positions to evaluate rather than settled findings.