Leverage
It's becoming increasingly evident that in many circles, AI is not perceived as merely a technology, but as "something else" entirely. This misconception is exemplified by the recurring debate: "Humans vs AI." To illustrate the absurdity of this framing, let's replace "AI" with "technology":
"Humans vs... See more
Cristóbal Valenzuelax.comThis talks about value capture by focusing on the most critical point of leverage
The History of Mathematical Tables: From Sumer to Spreadsheets | Oxford Academic
academic.oup.com
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.
The Death of the Junior Developer
sourcegraph.com
AI adoption and capabilities are distributed bimodally across industries.
Writing-heavy professions like writing, law, software are feeling it first. It doesn't feel that way because other industries are still untouched. That may continue for long or it might not.
It's always calmest before the storm
Quote reply to the previous tweet that captures most of my thoughts well with lots of examples.
Excerpts:
(On design): When designing productivity software, conceptualize it as a medium first and foremost, and a tool secondarily.
(On chatbots as UI): Its browsing, code interpreter, and Dall-E tools are testament to this upside-down design philosophy: the tools go to work first, only thereafter you see some output.
With the exception of code interpreter, interactions with ChatGPT are largely stateless and transactional. Manipulations are indirect.
@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.
The State of AI with Marc & Ben
open.spotify.comAI and the Internet are different phenomena.
The internet increased the leverage of computers by connecting them to other computers. Amplifies things that benefit from wider distribution. Network effects.
LLMs are stateless calculators (computers). Amplifies things that have a lot of computational complexity. Quick and Reliable decision making.