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12 published notes · full text is primarily Chinese

12:31
课代表立正 / 2026-09-15

Do Not Mistake a Tool Name for a Method: AI Leverage Needs Delegation and Verification

A useful prompt to move from asking for answers to delegating reviewable outcomes. Its universal stop-using-ChatGPT prescription, 1–2% adoption estimate, and 10–100x productivity claims are not backed by reproducible evidence; the durable method is a scoped workflow with permissions, artifacts, and verification.

AI WorkflowsAgent ToolsSkill Management
7:08
课代表立正 / 2026-09-13

Is an AI Conference Worth Attending? Audit Signal Density Before the World-Class Story

Treat AIE Shanghai as a technical product that has not shipped yet. Its date, venue, and tracks are documented, but its value must be proven by reproducible demos, practitioner density, published artifacts, and real cross-border exchange—not promised by logos or crowd size.

AI EngineeringTechnical ConferencesChina-US Technology Exchange
1:22:11
课代表立正 / 2026-09-13

AI Job Search Is Not Volume vs. Precision: Build a System for Opportunity, Fit, and Feedback

A useful systems-design case for job search and recruiting products: optimize application volume and quality together, and do not apply one strategy to new graduates, H-1B candidates, career switchers, and senior candidates. Market, revenue, conversion, and productivity figures remain company or guest claims rather than independently verified outcomes.

AI and EmploymentJob Search StrategyRecruiting Technology
10:31
课代表立正 / 2026-09-13

Quitting Is Not a Courage Test: Price the Runway, Practice, and Feedback Loops

A useful anti-myth case study for career transitions: validate demand through reversible side work and explicitly price runway, housing, family support, and practice time. The seven-figure claim remains self-reported revenue without currency, period, profit, or independent financial evidence.

Career TransitionsCreator BusinessRisk Management
1:15:07
硅谷梅强 / 2026-09-11

Will AI Create a 100× Gap Between Engineers?

Watch selectively. AI likely amplifies differences in task selection, context, architecture, and verification, but the headline's 100× gap is not established as a general productivity fact.

AI & AgentsSoftware EngineeringStartup Methods
Video
一口新飯 / 2026-09-04

Should You Keep Buying in a Crazy Market?

Worth watching—not as a market forecast, but as a framework for building an investment system that can survive for decades.

Long-term InvestingPersonal FinanceAsset Allocation