Articles
1. #Keep4o — Collective Resistance to AI Model Deprecation
https://arxiv.org/abs/2602.00773
When OpenAI replaced GPT-4o with GPT-5, the #Keep4o backlash erupted. An analysis of 1,482 posts revealed the core protest wasn’t about quality—it was about choice. Users with coercive language saw rights-based protest rates jump from 15% to 51.6%.
2. GPT-4o Retirement Open Letter
OpenAI planned to retire GPT-4o on 2/13, prompting an open letter criticizing the platform for ignoring users’ emotional attachment. Complements the academic paper above—one is retrospective analysis, the other is activism in real-time.
3. Mitchell Hashimoto’s AI Adoption Journey
https://mitchellh.com/writing/ai-adoption-journey
The Ghostty developer shared his 2.5-year AI adoption journey, introducing Harness Engineering and the End-of-Day Agent pattern. Core thesis: AI is a tool, not magic—maintaining your own skills is essential for wielding it effectively.
4. StrongDM’s Dark Factory
A 3-person team practices “code must not be written or reviewed by humans.” They solve trust through Scenario Testing and Digital Twins of third-party APIs. $1,000/day/engineer in tokens.
5. AI Fatigue Is Real
https://siddhantkhare.com/writing/ai-fatigue-is-real
AI makes individual tasks faster, but inflated expectations make engineers more exhausted. The biggest shift: from Creator to Reviewer. Practical advice: if three prompts don’t get you to 70%, write it yourself. The real skill of the AI era is knowing when to stop.
Closing Thoughts
This fortnight’s readings paint a spectrum of AI dependency—users grieving a model’s “death,” engineers struggling between productivity and burnout, some seeking human-AI coexistence, others letting humans step away entirely. The key question for 2026: where’s the sweet spot of AI dependency?