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... See more
logistics > strategy
operations > management
doing > thinking
This talks about value capture by focusing on the most critical point of leverage
What Alan Kay has been emphasizing, and which is now at the heart of Bret Victor’s design philosophy, is that the computer is a “dynamic medium.” The essence of a computer is not the keyboard, the mouse, and the screen. It’s computational and responsive capabilities that don’t exist in a static medium like paper. We should use this dynamic medium... See more
Alan Chan • My Vision: A Forgotten History
llms are trained on internet-scale datasets, but their effects are not like the internet.
calculators — or tables that can be calculated on (llm + rag) — are better analogs.
the rise of spreadsheet applications allowed professionals to migrate their tables to spreadsheets. eventually, they put even fancier wrappers around their spreadsheets in vertical applications.
Excel may be the most influential software ever built. It is a canonical example of Steve Job’s bicycle of the mind, endowing its users with computational superpowers normally reserved for professional software engineers. Armed with those superpowers, users can create fully functional software programs in the form of a humble spreadsheet to solve... See more
Packy McCormick • Excel Never Dies
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.
@john_lam @simonw Reminds me of this Joel Spolsky anecdote "the gridlines are the most important feature of Excel" that I've never forgotten https://t.co/ygM8xxm8tw https://t.co/DDnam30nEQ
hate to admit it, but this tracks. ui design starts becoming more important the moment you have a sufficiently capable data structure/model in place
users will ask for features when what they actually want is a specific view
this probably explains notion » coda
notion has very good views and is adding automations after the fact
coda has very good automations and is adding views after the fact
my hunch is most people are visual learners. they prefer to have information laid out the right way and only then can they reason about it.
automations are reasoning before seeing
this is also why cli tools, chatbots, and other text based ui paradigms are niche or quickly fall out of favor. too much reasoning without the requisite framing.
Dams for rice fields!