69 karma · joined December 26, 2023
A few factors off the top of my head (there are more):
- Proprietary communication protocols between equipment from different OEMs. It's possible to automate to a greater extent if every asset speaks the same language. They often don't. Instruments exist in the OEM's walled gardens.
- Robots do save money in the long run, but they are expensive upfront. This is a deterrent, especially labs on a small budget that just don't have the CapEx for robots. This is the case for many academic labs, in particular.
That said, there is progress being made toward automating wet labs to a greater extent. There are projects to standardize protocols so you can have communication between assets from different OEMs. One of my sources from the NIH also told me last week that there are advancements being made in mobile robots that can cart samples from instrument to instrument autonomously.
So the other day I used Claude to make a browser extension that saves all in an active window to the specified "Writing Project" so I can easily open/close them all as needed.
Basically, a more streamlined bookmark system.
If that were the case, why are so many companies bent on eliminating some employees and equipping the rest with AI to make up the difference? Wouldn't it be in their best interest to retain ALL those employees and equip them all with AI?
>"i have no accomplishments"
give me a break
I think you're just used to more bloated "pretty" sites.
On a similar note--I've noticed that HN comments are often overwrought, like the commenter is trying to sound smarter than they actually are but just end up muddling what they're trying to say.
Perhaps these things are connected.
I couldn't see myself paying for something like that, anyway, but would be interested to hear your business case.