upvote
I was thinking this week that AI token costs are probably going to get so expensive soon that bright spark CEOs are going to realise “why am I paying for such expensive coding agents when I can pay people from the third world to code!?!” and announce outsourcing like it’s some kind of stunning and innovative revelation.
reply

    > when I can pay people from the third world
C-suite has been saying this for 30+ years. They never tire of it. Ask yourself: At this point in time, why aren't all programmers working from low cost jurisdictions?
reply
I think you didn’t grok the hidden punchline - this is the stage after they’ve replaced all their third world coders with AI agents, until one day a C-suiter has the revelation that humans are cheaper and better, and the company then starts toting its humanistic credentials all over LinkedIn.
reply
Mechanical picking has been too slow. It's not a problem with the robot mechanics. Here's 300 picks/minute from 2012.[1] The parts are all the same, so the vision problem is simple.

But picking arbitrary objects from fulfillment bins is still running at a few picks per minute.[2] As the speed picks up, humans become less necessary.

[1] https://www.youtube.com/watch?v=6RKXVefE98w

[2] https://www.youtube.com/watch?v=2X4CU3jmw-g

reply
That's the point of the test condition. When running a robot becomes more economical than paying full-scale humans $17/h, something important about robot abilities will have changed.
reply
I dunno, I worked in an Amazon Warehouse for a year part-time (and a couple of weeks full-time when in-between jobs) --- on one occasion, I pulled up to a bin full of non-descript cardboard boxes near where a group of trainees were working their way through, grabbed one box, spun it around for the six-sided box check, scanned it, confirming it was the right one, and before I could move on to my next pick, a trainee asked, "How did you know that was the right box?", which required a several minute explanation of how the item description and the slight differentiations of the boxes led to that conclusion.

The big win would be training the folks doing stowing to not create such situations and to put markedly different things in each rainbow bin.

reply
This would be a more convincing take if reasoning LLMs didn't already exist. Given the growth in capability over the last few years alone nothing about your description "several minute explanation of how the item description and the slight differentiations of the boxes" seems beyond an artificial intelligence to solve by the time humanoid robots would be ready to physically traverse a warehouse.

Your last point is also interesting given perhaps a robot is more amenable to such instruction, thus creating cascading savings. Each human has to be trained, and could be individually a failure. Robot can essentially copy its "brain" to its others.

Or likely more accurately, download the latest brain trained from all the robot's aggregate experiences from the amazon hivemind hq

reply
The "Markedly Different things" in each bin was a big Amazon Warehouse advance in warehousing. Traditionally - things that were "alike" were put on shelves/bins - but (according to Amazon) it was far more efficient for pickers (at least back in the day - may have changed since then) to have random things on shelves located near each other to allow for equal access to popular items by pickers.
reply