I still think ml systems, which I work on, are easier than hardware, which I used to work on. It's things like the cost to dump inventory if you make a mistake

I still think ml systems, which I work on, are easier than hardware, which I used to work on. It's things like the cost to dump inventory if you make a mistake (eg a founder cheaped out on a ballast circuit on a dna reader, which caused the light to flicker at power on, which fucked up the chemistry, which cost the company well over a million dollars), etc. Which is not to imply novel ml systems are easy... Pair3d looks really cool -- I've been making a list of neat industrial uses of computer vision tech and virtual showrooms isn't something I'd thought of. A friend actually did something similar the hard way -- he and his fiance were apartment shopping in nyc, but the apartments were empty and they were having a hard time visualizing what they would be like (less spacious, for starters) with furniture. So they cut butcher paper into pieces the size and shape of their major furniture and laid it out in the apartment to see what it would feel like with their couch, bed, etc in the apartment rather than empty.