| ▲ | bandrami 2 days ago |
| Because I think "1 employee can do the work of 3 now" still hasn't actually been demonstrated |
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| ▲ | shawabawa3 2 days ago | parent | next [-] |
| > Because I think "1 employee can do the work of 3 now" still hasn't actually been demonstrated 1 employee doing the work of 3 is I think is a stretch but 1 employee doing the work of 1.1 employees from a year ago I think is almost certainly true - at least, me and everyone i work with is _at least_ 10% more productive, and using AI extensively |
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| ▲ | steveBK123 2 days ago | parent [-] | | Right
I think orgs are unclear how to wield this yet though In my 20 year career I’ve rarely been on a team with more than 3-5 people on a team or within region on a team. So at that scale it’s not really reducing a team member on a given team still. But you get more productive which is notoriously hard to measure in SWE, so yeah. It’s possible that translates to iterating faster or closing tickets further down the backlog which is useful but not per-se staff reducing. Maybe in mag7 where you have massive engineering orgs the 10% can impact a given team more.. |
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| ▲ | Barbing 2 days ago | parent | prev | next [-] |
| I wonder what proportion[1] of knowledge workers believe they have at least one colleague who the business would be better off replacing with software and how many of them are totally wrong, or right about it! [1] and how it might be changing with new generations of models |
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| ▲ | bandrami 2 days ago | parent [-] | | I think the bigger issue is employees who can largely just not be replaced. For all the hype about the 1X vs 10X distinction the real stumbling block is how many 0Xes there are out there and how frequently they tend to make it through hiring. |
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| ▲ | jimbokun 2 days ago | parent | prev | next [-] |
| We’re seeing multiple reports now of the number of PRs being closed increasing by 1.5x and that sounds about right. |
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| ▲ | amelius 2 days ago | parent | prev | next [-] |
| Ask professional translators. |
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| ▲ | DonsDiscountGas 2 days ago | parent | prev [-] |
| Pretty sure it has for coding |
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| ▲ | oytis 2 days ago | parent | next [-] | | Personally, no, haven't seen it in professional settings. Colleagues using AI heavily did not show any superhuman development speed, but definitely increased review burden compared to writing code by hand. | |
| ▲ | bandrami 2 days ago | parent | prev | next [-] | | I'm not seeing it if that's true. None of my vendors, none of my open source upstreams, and our own dev team haven't actually been getting software out faster than they were a couple of years ago. As a sysadmin docker had a bigger impact on my work in its first few years than LLMs have in theirs. | |
| ▲ | 2 days ago | parent | prev [-] | | [deleted] |
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