13th April 2026
The problem is that LLMs inherently lack the virtue of laziness. Work costs nothing to an LLM. LLMs do not feel a need to optimize for their own (or anyone's) future time, and will happily dump more and more onto a layercake of garbage. Left unchecked, LLMs will make systems larger, not better — appealing to perverse vanity metrics, perhaps, but at the cost of everything that matters.
As such, LLMs highlight how essential our human laziness is: our finite time forces us to develop crisp abstractions in part because we don't want to waste our (human!) time on the consequences of clunky ones.
— Bryan Cantrill, The peril of laziness lost
Recent articles
- LLM 0.32a0 is a major backwards-compatible refactor - 29th April 2026
- Tracking the history of the now-deceased OpenAI Microsoft AGI clause - 27th April 2026
- DeepSeek V4 - almost on the frontier, a fraction of the price - 24th April 2026