Scientific bottlenecks: reinvent assays, don't just automate them
owl_posting · x · 2026-10-22
A contrarian take argues the scientific-bottlenecks conversation is overfocused on automation while new measurement technologies deserve more attention: instead of automating an assay that requires an entire facility, you could reinvent the assay to fit into a few tubes. A reminder that the bottleneck is sometimes experimental design itself, not compute or automation.
More from AGI Musings
- Market dilution, fair use, and generative AI: a longread on copyright's core question — luisdans · 2026-10-23
- Dev: AI turned knowledge workers into 'meat proxies' and the promised fix is welfare forever — zetalyrae · 2026-10-23
- A 9-minute YouTube 'cover' of his 87-minute LLM talk vastly outperforms the original — rao2z · 2026-10-23
- Self-improving companies: why founders should build AI-native banks and insurers from scratch — andrewchen · 2026-10-23
- 'Attention Was the Breakthrough': AI Will Expose How Much Knowledge Work Was Human Computing — ericwdolan · 2026-10-23
- MIT launches course on self-evolving AI spanning context, harness, model and task evolution — pliang279 · 2026-10-23