Unverified50% confidenceEventExact time
In the second round of update testing, after the number of people was changed from 12 to 16 and the start time was postponed by half an hour, the AI modified two files and kept a change history, and a new session queried a total cost of 320 yuan, 20 yuan per person, and a start time of 2:30 PM.
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
10/24/2026
First Seen
Valid until: 11/7/2026
Sources
Obsidian + Claudian: A Practical Guide to Building a Personal Knowledge Base for AI
bilibili兰叔爱玩炽焰天穹10/24/2026
Related Entities
Related Claims
UnverifiedIn the hands-on test, the AI calculated from the materials of a 12-person book club a total cost of 300 yuan, 25 yuan per person, and 60 yuan remaining in the budget.64% similarUnverifiedTaking a medium-scale scenario as an example, if monthly API costs exceed $10,000–$20,000, the ROI of building a self-hosted inference cluster typically turns positive within 12–18 months.63% similarUnverifiedWhen appending a question to a 42,000-token conversation history, staying in the existing session costs 0.9 cents, starting a new session costs 1.8 cents, and running compact before asking costs 6 cents—nearly 7 times more expensive.62% similarUnverifiedThe model's key assumptions include: reviewer calls are 2000 input + 300 output tokens; system-under-test calls are 1500 input + 500 output tokens; a mid-tier model ($2/$10 per million tokens) is used by default; offline runs use the batch API for a 50% discount; online review uses standard pricing; human review is 4 minutes per case at $45 per hour; tooling costs follow Langfuse list prices; and the loaded cost of US full-time labor is $16188 per month.61% similar
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