DSPy author: scaling bypasses solutions, never problem specification
lateinteraction · x · 2026-09-12
Omar Khattab (lateinteraction, DSPy creator) restates his core thesis: good AI software needs a crisp mental model of problems vs solutions. Assuming AI will write the problem specification for you leads to disappointment; overfitting brittle implementation choices to one LLM doesn't scale. Scale lets you bypass hand-crafted solutions but not careful problem definition — it just raises the abstraction level at which you define problems, which is DSPy's whole point.
More from AGI Musings
- The p(doom) irony: Dario left OpenAI over safety, then built its biggest rival — aliisarosenthal · 2026-09-12
- Even AI Critics Find the Fields Medalists' Letter 'Disgusting', AI Twitter Shows Little Sympathy — iruletheworldmo · 2026-09-12
- Anti-pause take: AI slowdown calls ignore game theory, incentives and economics — nptacek · 2026-09-12
- repligate explains why he still respects Eliezer: rare pre-AI alignment thinking — repligate · 2026-09-12
- tszzl: America's free speech culture quietly underpins the entire AI safety discourse — tszzl · 2026-09-12
- Alignment discourse's blind spot: both camps treat AI as a tool — RileyRalmuto · 2026-09-12