Jensen Huang says science was never too hard — it was too slow
r0ck3t23 · x · 2026-07-26
Jensen Huang argues that hard problems in science were never truly “hard” — they were slow.
- His point is that faster tools make problems look smaller, not that humans become smarter.
- He uses analogies like jet engines, microscopes, and telescopes to show that major scientific leaps often come from better instruments, not just better ideas.
- The thread ties that framing to AI and compute: if you can feed the output of billions of minds to one machine, many once-impossible problems become tractable.
- It ends with a broader claim: the list of “impossible” things is really a record of the tools we lacked at the time.
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