This ”de-specialization” move is something I’ve seen several times from consultants like McKinsey. The guy who did it at Nike was from Bain.
They reorganized my company accordingly, to disastrous effect. Customers used come in and talk to product managers with very deep experience in their market, and it would blow their socks off. After the reorg customers would come in and talk to a random generalist who could talk for 7 minutes about 10 different markets each. Imagine how that felt to customers, that feeling of “I know more about this than my vendor does”.
De-specialization is the wet dream of any accounting-focused leader. When everyone is just some dude, they all become fungible. And you see, it's just math. Just keep stacking dudes and it works the same, it scales.
But, no it doesn't. 10 juniors does not make a senior. 100 juniors doesn't. Not even a thousand. Because they actually do different things. You can replace a specialist with 10 generalists and expect that to work, but it keeps happening.
The dream is having labor so stupid, so worthless, that it's practically free. But that's very risky. That, like, IS your company. The people are it. If all the people suck and are fungible and you move them around and rotate them non-stop, then what does that mean for your company? I don't know, but you save a little bit of money for a short while.
Having been on the customer side of your scenario (in the manufacturing sector), this hits deep. It's that feeling of being on a phone tree, and needing to jump through hoops to find the person who can actually help you. But you're in person. And they probably fired the person who has the experience you're looking for, because experience isn't able to be quantified in a column on a spreadsheet.
Doubt it. Apple understands how important retail presence is - their stores generate more revenue per square foot than any others, including Tiffany’s.
well thats my point. makes me wonder how much influence Cook has on the Nike board to teach them that to avoid the mistakes they made. Cook had a front row seat to the decline of Nike
It's not a helpful reply to that particular comment, but I think it's worth recognizing that the US is now in the same camp as HK or mainland China now where there will be some people who just simply cannot enter.
I love how tiny and to the point the Python scripts are. I bet if you asked AI to make these today the comments would be longer than these entire scripts. But I’m too bored by the idea to try it :-)
What worked for us professionally, voraciously taking in information, might be less effective going forward. Being more judicious in consuming fewer, high-quality sources of content is likely to work better in the age of AI slop.
For what kinds of applications is LuaJIT being used? I’ve always found the standard interpreter fast enough for my needs. Especially when compared to Python.
The most recent integration I've seen is is OpenMW, which is an open source re-implementation of the Morrowind game engine. Basically it is built on the assumption that people are going to make mods that do a ridiculous amount of number-crunching in lua so any small improvement to performance is welcome.
If Python is your baseline, LuaJit is certainly going to be overkill. But to answer your question: when and where latency matters. Web apps, text editors, etc.
They reorganized my company accordingly, to disastrous effect. Customers used come in and talk to product managers with very deep experience in their market, and it would blow their socks off. After the reorg customers would come in and talk to a random generalist who could talk for 7 minutes about 10 different markets each. Imagine how that felt to customers, that feeling of “I know more about this than my vendor does”.
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