AI Makes Ambitious Systems Research Finally Feasible, Researcher Argues
sh_reya · x · 2026-10-25
- Quoting a case study on AI for systems development, shreya argues you only need: (0) smart humans who understand and communicate the solution, (1) good metrics and cost models, and (2) super-basic swarms of agents writing code and tests to optimize those metrics.
- She adds that now AI is good enough, systems PhD students and academics can—and should—build extremely ambitious systems covering large surface areas, evolving them in the open over 1+ years. jamescham endorsed this as good advice for PhD students and everyone.
Related event: Researcher: AI Finally Lets Systems PhD Students Build Ambitious Projects(2 posts)→
More from AGI Musings
- Technologists have a duty to create, not just critique—quoting Blake — fkasummer · 2026-10-25
- Palantir CEO Alex Karp: Europe barely matters in the AI race between China and the US — 2C_ornot2C · 2026-10-25
- AI drug-discovery skeptics have a point: binding simulation accuracy is just 49%, data costs 30x longer — citrini · 2026-10-25
- 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