AI Boosts Productivity, But Doesn't Accelerate Thinking
mitsuhiko · x · 2026-07-11
The author argues that while AI has genuinely boosted their productivity, it has barely accelerated the pace of "thinking."
For example, when mapping upstream provider features to Pi recently, AI helped quickly piece together a prototype, but creating a universal abstraction across different providers remained incredibly difficult. The conclusion: the easy parts got easier, but the hard parts haven't changed much. AI is great for POCs and API exploration, but it doesn't replace genuine architectural thinking.
More from AGI Musings
- Andrew Blumberg says formalization without interpretability is not science — AlexKontorovich · 2026-07-21
- Ken Ono says AI is forcing mathematicians to rethink how discovery works — soumitrashukla9 · 2026-07-21
- Open-source labs could distill a state-of-the-art model to 32GB or 80GB VRAM, the post argues — bookwormengr · 2026-07-21
- Two US companies are now using superintelligence to speed up the next generation of models — yacineMTB · 2026-07-21
- MIT Sloan says information, national security and finance are most exposed to AI — Exp_Mark · 2026-07-21
- IMF says AI could lift Sub-Saharan Africa’s economy by 4% over the next decade — Polymarket · 2026-07-21