Leverage
Managerial Technology focuses on decisions as the output. For example, I build a report with a KPI that shows the yield of how I am turning raw materials into finished goods. I want to hit my target KPI based on my engineering standards.
This has been a primary focus of analytics and business intelligence for the past 2... See more
logistics > strategy
operations > management
doing > thinking
And the uncredited bioweapon
Fascinating historical case of technological and strategic advantage: 400 Spaniards conquered the 6-million Mexican Empire, and just 180 soldiers overwhelmed the 10-million Incan Empire.
Will AGI bring the same kind of strategic advantage, potentially decisive? https://t.co/vqf7eNpICI
I need a good image to symbolize the Whispering Earring
it’s only going to become more relevant https://t.co/SWNMrqHpev
Convenience can indeed become a burden
Hydroelectric Design With Turbines In The Middle Of The Lake
youtu.beDams for rice fields!
When the first steam engines were introduced, the owners had a really hard time finding people to operate them who wouldn't get drunk in the middle of the day, fuck up, and wreck the machine.
Ben Landau-Taylorx.comTechnological change is only possible with societal (behavioral) change
To use databases, you need to be able to think about your data in a structured way. The people who could do that gained most of the leverage from using databases. The folks who made it easy for people to transition to databases (ERPs and Co) captured the rest.
AI systems are fundamentally scalable decision making engines. And data is the oil required to power it. If you want to properly leverage AI, you need to make sure you're fueling it with the best refined data.
Otherwise, you're no different than the drunk trying to reliably operate complex machinery. The only repeatable part of that is injury.
the fastest path to being perceived as a “genius” (commonplace hyperbole) is to read books that your peers aren’t reading. this will not be a universal perception, but it’s nonetheless a very strong effect that’s amusingly underutilized
x.comSimilarly, when everyone is saying the same things, simply asking why becomes revolutionary.