Re:Verification Is Not Knowledge: Science needs more than an...
by rowanG077 on Wednesday November 04, 2026 @07:56AM
(#50364909)
This misses that AI is already designing and carrying out experiments autonomously. This will only explode with the growth of capabilities in robotics.
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Re:Verification Is Not Knowledge: Science needs more than an...
by program_whiz on Wednesday November 04, 2026 @10:03AM
(#50366560)
No I accounted for that. Sure, if you have everything setup for full automation, then yeah, you can write a computer program to execute many experiments in parallel, and that is no doubt useful. But at the point your question doesn't fit into a repeated process, the physical provisioning, sourcing, hiring, contracting, politics, space acquisition, calibration, layout, etc. all applies.
For many types of study, especially new ones, having such a setup is just as hard as doing the thing that may or may not require massive automation. For example, testing a new type of high acceleration engine. How would you even setup a lab to have hundreds of test beds for this? Would you need to manufacture hundreds of prototypes of the engine to even do the test? Where would you source that if the whole point is proving whether the engine works and produces more thrust. You probably just have one prototype sitting on a table. Sure when you get to the point of refining a tested and well-studied design, automation helps.
Re:Verification Is Not Knowledge: Science needs more than an...
by rowanG077 on Wednesday November 04, 2026 @02:05PM
(#50370070)
> or many types of study, especially new ones, having such a setup is just as hard as doing the thing that may or may not require massive automation. For example, testing a new type of high acceleration engine. How would you even setup a lab to have hundreds of test beds for this? Would you need to manufacture hundreds of prototypes of the engine to even do the test? Where would you source that if the whole point is proving whether the engine works and produces more thrust. You probably just have one prototype sitting on a table. Sure when you get to the point of refining a tested and well-studied design, automation helps.
This is the point where robotics can re-arrange their own labs.