3 ms·
> He claims Anthropic engineers use an average of 500+ agents a day. What are they doing all day with that, I wonder?
by bmitc 6d ago
> He claims Anthropic engineers use an average of 500+ agents a day.
What are they doing all day with that, I wonder?
- simonw 6d agoDoes that mean 500 separate agents or 500 agent sessions I wonder.
- bdangubic 6d agothe former
- simonw 6d agoWhat does that mean though? Does it mean there are more than 500 different "agent" systems within Anthropic and employees interact with most of those in a daily basis?
- sitkack 5d agoThat isn't humanly possible, you will blow out your neurotransmitters and not be able to think. Only being semi serious, but we can't make that many decisions a day.
- Kim_Bruning 5d agoRight, but you can imagine eg a hierarchy, in which case you might only talk with -say- 10 reports directly.
- sitkack 5d agoThat isn't typically how abstraction is tallied. The ceo doesn't say they use 15k employees, or the programmer uses 30B transistors. Or the director uses 120 workers. You enumerate what you actually interact with.
- pixl97 6d agoWell, trying to make RSI for one so humans don't have to do that work. LLMs are still a very new technology in relation to human timeliness. There is a whole lot of exploration to be done.
- saghm 6d agoI mean, in relation to human timelines, so are computers in general. It's not close why you think that this is unique to LLMs.
- pixl97 5d agoThere might be some confusion on your part on just how much AI compute has been installed in the past few years in relation to the total amount of CPU compute and the speed at which it was installed. If the CPUs life was an hour, the GPU AI accelerator would have been around 5 minutes and is around 5x larger in total compute. It should not be underestimated in any way the scale of what is occurring.
- deleted 5d ago[deleted]
- saghm 5d agoNo, I think the confusion on your part is around what it sounds like when you say "in relation to human timelines". Humans have been here for around a million years. We've been living in cities for several thousand. It sounds like what you're actually comparing to is AI computing to pre-AI computing, which is reasonable, but I don't really see how that is accurately described by "in relation to human timelines".