Follow-up: Tested my 9 thinking rules on long-horizon agent tasks (Terminal-Bench 2.0)
On my previous posts, people argued these thinking rules might work on short tests but would hurt long-horizon tasks.
Proof1 community thread
Key points
- So I tested them on Terminal-Bench 2.0: same model (GLM-5.3-Flash), same agent, every task run with and without the rules.
- I ran it on High thinking as Max thinking was taking so long that the model ran out of time for each task.
- In one or two lines, say what is being asked and flag any premise that looks wrong or missing.
- Do not hop between approaches because of a vague feeling.
Sources (1)
- [1]Follow-up: Tested my 9 thinking rules on long-horizon agent tasks (Terminal-Bench 2.0)r/LocalLLaMA (top, daily) · Oct 18, 12:55 AM
On my previous posts, people argued these thinking rules might work on short tests but would hurt long-horizon tasks.
So I tested them on Terminal-Bench 2.0: same model (GLM-5.3-Flash), same agent, every task run with and without the rules.
Extractive summary: sentences quoted from the sources.
Before this
- Oct 17, 2026How to Know If Your AI Agent Is Any Good: Evals With Phoenix & Claude — Laurie Voss, Arize AI
- Oct 16, 2026Designing more efficient quantum circuits with Claude
- Oct 16, 2026Working at the frontier shapes expectations for the future
- Oct 16, 2026How employment is changing at Anthropic
- Oct 15, 2026openai/codex rust-v0.163.0: 0.163.0
- Oct 15, 2026Probe-and-Resume: When and How to Evaluate Agent Execution
