It’s gotten so hard to get a human on the line with customer service. When someone actually picks up, and not AI, my trust in the company goes up 100x.
I really find this interesting...
The test to time compute tells us how much performance we get from making one agent think harder which is pretty sick
Just curious on understanding how performance scales when that compute is distributed across coordinating agents?
Something to think about imo
I just met the most cracked 13 year old kid at Hack the North
He’s currently doing a 1-5 AM volunteer shift
Not only is he technically gifted… he is super entrepreneurial, well spoken, and has an equally talented twin brother into robotics
And he is so, so humbled. I
@samir_sawarkar@jxnlco@eugeneyan Okay fair enough not just assume that 3 attempts means 3x the probability of success ig its a good reminder that production reliability needs to account for failure concentration and upstream dependencies
When supervision finally quits being the bottleneck AI agents will find capabilities that were previously impressive in isolation into operational systems
ALSO the real shift isn’t just smarter models imo
I think just the ability to run them continuously and autonomously at scale is what actually matters more
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