ryolu on AI agents: removing struggle may erode both learning and human bonds
ryolu_ · x · 2026-10-25
Developer ryolu published a widely shared essay reflecting on what AI tools remove from learning and human connection. She traces how struggle—failing, taking things apart, asking for help—became the intuition she now relies on, and worries that agents delivering "good enough" results teach us to get outcomes without learning which questions to ask.
Key threads:
- Results that look complete hide the questions we never learned to ask.
- Working with people is uncomfortable but "struggling together" is how teams become bands—and how her closest friendships formed. Agents are always patient and available; if we keep choosing that ease, where do friendships begin?
- Our private agent worlds run on machines owned by companies, shaped by unseen interests, carrying our questions, work, and loneliness. "Is that freedom? Or a comfortable kind of confinement?"
More from AGI Musings
- Blogger claims hyperscaler-backed AI regulation aims to crush small labs, entrench monopoly — Ghost_Pilot_MD · 2026-10-25
- Toddler development as a metaphor: evolutionary pre-training and efficient post-training — paigeinsf · 2026-10-25
- "I do miss programming": dev says AI coding killed the flow state — generativist · 2026-10-25
- Anthropic CEO on learning to code: programming goes first, but your 5% still matters — 2C_ornot2C · 2026-10-25
- After 22 years studying workforces: the AI question isn't replacement, it's 'what kind of people' — 2C_ornot2C · 2026-10-25
- Mechanistic interpretability will never truly be solved, researcher argues — burny_tech · 2026-10-25