Writing
5 entriesThink it through, then write it down. Newest first.
2026
- Can open-source Laya replace Jev? 6/14 on SQL, then 3.9 hours of fine-tuning
An 11-minute hands-on test (Chinese narration). On 14 SQL review cases Jev gets 13 right; the open-source decision model Laya gets 6. After 3.9 hours of fine-tuning on an M4 Mac, Laya reaches 14/14 on safety, but still trails on correctness.
- Giving an AI limbs: how Jev plays Doom in real time at 120 ms
A 7-minute breakdown (Chinese narration). No pixels, no screenshots — just a plain-text state report, queried about ten times a second. Jev picks the goal like a commander; ordinary code does the key presses.
- 10,000 API calls later: reverse-engineering Jev's architecture
A 13-minute explainer (Chinese narration), based on Archer Hume's outside-in experiments with latency, token counts and option order. Jev doesn't generate token by token; it reads probabilities out, and encodes shared state only once.
- 10 ways to use Jev, after testing it on 3 of my own tasks
A 10-minute explainer (Chinese narration) with a full write-up. Task routing: 17 of 20 right. Kanban classification: 87%. Can this SQL ship: 14 of 14. Then ten ways to use it, how it splits work with an LLM, and where it falls short.
- Understanding Jev: a System-One tool for data engineers
A 4.5-minute explainer (Chinese narration, English UI). Jev is TypeSafe's System One Model: one forward pass, no token-by-token decoding, calibrated probabilities at about 1/400 the cost of a frontier LLM.
