LLMs allow moving from allocentric knowledge to egocentric knowledge.
LLMs allow moving from allocentric knowledge to egocentric knowledge. In the world of maps, "allocentric" means world-aligned, and "egocentric" means pers...
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LLMs allow moving from allocentric knowledge to egocentric knowledge. In the world of maps, "allocentric" means world-aligned, and "egocentric" means pers...
One superpower of LLMs: patience too cheap to meter.[qz] When you're dealing with another person, you don't want to waste their time or say something that will make them th...
LLMs will likely supercharge the amount of legalese. Whoever uses the most well-applied legalese gets an edge over their counterparty. Before, only lawyer...
You have to work to get disconfirming evidence from LLMs[rb].[rc][rd] LLMs are too eager to please. If you aren't careful they won't question you, even if you give it false premises. A trick someone told me...
Is the LLM the one calling tools, or can tools use LLMs inside of themselves?[rg] Which is on top of execution, a chat thread orchestrating tools, or a traditional bit of software that's orchestrating tool...
Don't use LLMs as the software, use them to write the software.[rh] If LLMs make software for basically free, then you can have the LLM generate it on the fly. An e...
A system that meets LLMs where they are for code will get the most out of them. LLMs can write simple React components with high quality They need a lot more hand-holding and...
...a natural affinity for programming) actively enjoy solving the puzzles. But now LLMs can solve the puzzle for you, and it's up to you to just verify its work[ri] and think architecturally. It's a different kind of puzzle, one that is ...
Might we see the return of tech small businesses in the era of LLMs? In the 80's and 90's there were thousands of tech small businesses. Later, as the cloud phase heated up, the efficiency of scale became more importa...
LLMs will get good at everything that can be quickly ground truthed by computers. But that doesn't mean they'll do a good job at things that can't. Most m...
To LLMs, humans will seem like trees. Humans can perceive at most about 10 bits of information per second. This was explored in a paper called The Unbearable...
There's currently no mainstream voice that has grounded optimism about LLMs. There are either the hyper tech "it will be wonderful, simply trust us" or the anti tech "this is terrible and you should be terrified". Someone sho...
Anthropic's research on the inner workings of LLMs is fascinating. They're studying LLMs less like an engineer would study a technical artifact and more like a neuroscientist would study a mind. All k...
LLMs are fundamentally planetary-scale consensus machines.[rs][rt][ru][rv][rw] They are large, hard-to-update social sifting processes. The way to update ...
A signpost: an LLM being used to update a comic about the limitations of LLMs to point out similar limitations in humans[rz].
Remember: treat LLMs less like oracles and more like muses[sa].[sb][sc]
Insights that "sound good" are what LLMs give. Which means you have to be careful, because it's giving you a consensus answer, which might be wrong. Performative rigor.
...s a poorly architected system. Always sprinting, never refactoring. That's what LLMs do when they write code. The "always firefighting" mode of software development.
Engineers now need to be more like engineering managers when working with LLMs. How to wrangle multiple agents to a coherent result with a reasonable architecture is very different from writing code by yourself.[se][sf] When it'...
...to has happened. To do so requires a level of human-like judgment. But now with LLMs you can set a high-level, human intent, and have an intern who never gets bored who can keep an eye on things for you. The rules for the kinds of thi...