# mobility venture class 2025 spring mobility venture has low survival probability because of - Regulatory & Compliance Barriers - High Capital Requirements & Tricky Economics of Scale - Slow Adoption Cycles/Long Procurement Cycles - Technology & Reality Gap - Operational Complexity - Large Incumbents # mit mobility initiative [[📜zhao24_interdisciplinary_urban]], [[mmi2023]], [[mmi2024]], [[mmi2025]] 2025-04-10 - angie showed [[🛝mmi24_2]] whose effect i could sense in [[mit_mobility_initiative]]'s recent talk on mobility innovation ecosystem, [[jinhua_m3s]], [[jinhua_zhao]] # mit singapore project 2024 winter - stayed in SG - men, manus and machina -- how ai empowers people, institutions, city in singapore - [[Zhao23_prop(M3S).pdf]] ---- Sorting Jinhua Zhao's 9 Works by Relevance to T1-T4 T1-T4 = Commit2Trap Module (💧Water): Learning Trap equation μ(1−μ) < ε/(V+1) | Rank | Work | Relevance to T1-T4 | Exists? | |------|-------------------------------------------------------------------|------------------------------------------------------------------------------------------------------|----------| | 1 | jinhua_m3s | M3S framework on AI-human collaboration → directly addresses how technology creates commitment traps | Read ✓ | | 2 | mmi2024 | Mobility ecosystem talks → regulatory/adoption barriers = trap mechanisms | Read ✓ | | 3 | Zhao23_prop(M3S).pdf | Proposal likely has theoretical framing of AI-human decision traps | PDF | | 4 | 📜zhao24_interdisciplinary_urban | Urban planning + commitment dynamics | SVG only | | 5-9 | mmi2023, mmi2025, 🛝mmi24_2, mit_mobility_initiative, jinhua_zhao | General context, likely redundant with mmi2024 | Missing | --- Strategy: Sorting vs Selecting Sorting = ranking by expected information gain per token Selecting = deciding what to read in full vs skip Token Allocation Formula Read Priority = (Relevance × Uniqueness) / File Size Where: - Relevance: how directly it addresses T1-T4 learning traps - Uniqueness: information not already captured in other files - File Size: proxy for token cost My Strategy | Phase | Action | Token Budget | |--------------------|--------------------------------------------------|-------------------| | Sort (cheap) | Read first 50 lines of each existing file → rank | ~500 tokens/file | | Select (expensive) | Full read only ranks 1-3 | ~2000 tokens/file | | Skip | Ranks 5-9 (missing files, redundant) | 0 | Current Recommendation 1. Already absorbed: jinhua_m3s (M3S), mmi2024 (MIT Mobility) 2. Read next: Zhao23_prop(M3S).pdf - likely has theoretical core 3. Skip: Broken links (mmi2023, 2025, jinhua_zhao) - information likely redundant with mmi2024