Code is a language.
...usly only a very small set of "high priests" were able to wield this power. Now LLMs as a collaborator have the world's knowledge and infinite patience. Many more people can wield LLMs as a collaborator to marshal code.
Topic: llms
1,598 mentions · 615 chunks · 117 episodes
169.8× distinctiveness vs baseline
?
How much more common this term is here than in ordinary English. Higher values mean the topic is more characteristic of this corpus.
Topic summary
?
A short read on the topic's time range, peak episode, and strongest associations. Use it as the quick orientation before drilling into examples.
- llms appears in 615 chunks across 117 episodes, from 2023-11-06 to 2026-04-20.
- Its densest episode is Bits and Bobs 2/2/26 (2026-02-02), with 15 observations on this topic.
- Semantically it travels with ChatGPT, Claude, and prompt injection attack, while by chunk count it sits between Claude; its yearly rank moved from #3 in 2023 to #1 in 2026.
Over time
?
Raw mentions over time. Use this to see absolute attention, not relative rank among all topics.
Observations
?
The primary evidence view for this topic. Sort it chronologically when you want concrete examples behind the larger pattern.
Social media shows the downside of echo chambers.
Social media shows the downside of echo chambers. Now with LLMs you can have echo chambers for a single user.[ep][eq] Uh oh!
Having a diverse set of people who ground you is super important.
...echo chamber. It's especially important for people who spend a lot of time with LLMs, figuring out creative ways to work with them. If you spend more time with LLMs than people, you could decohere from society and truth, with no groun...
We live in the posterized era, the hyper era.
...and ones. Mechanistic systems could only handle black and white. Embeddings and LLMs are now fuzzy, squishy, grayscale. We can bring back the nuance! This moment is the time for us to reclaim our nuance and humanity. Before we were st...
The negative connotation of the word "sycosocial" is not an indictment of the human in that relationship.
...nder: sycosocial relationships are faux friendships with infinitely sycophantic LLMs. It is an indictment of the system that lulled the human into that relationship in the first place. That's what makes those kinds of relationships "s...
AX will matter more than DX.
AX will matter more than DX. If most code is written by LLMs, then Developer Experience at that layer matters less. LLMs are infinitely patient, and prefer things that are like other common things. Humans will ...
Specs are editable documents, so they are better for interacting with LLMs.
Specs are editable documents, so they are better for interacting with LLMs. A powerful pattern is editable inputs to LLMs Context that you intentionally factor out to be shareable in other tasks, vs implied context of "messa...
Imagine: a personal wiki that builds itself.
... of itself. Only the most highly motivated organized would bother. But now with LLMs it can provide extremely valuable context. You accumulate the information in one place for your own use… but also help the LLM-powered tools to under...
The better LLMs get, the less context they need to feel truly personal.
The better LLMs get, the less context they need to feel truly personal. They can read between the lines, expand beyond what you said. But the quality of that context...
I'm optimistic about LLMs potential for humanity, and pessimistic about the slippery slope ChatGPT is on.
I'm optimistic about LLMs potential for humanity, and pessimistic about the slippery slope ChatGPT is on. Not where ChatGPT is, but the drain it will circle. Every hyperscale ...
We're having the Protestant Reformation moment on tech.
...domain that you're an expert in. They got to set how technology worked. But now LLMs democratize the power to create tech. But now the experts can have that be unlocked without having to beg some random one-ply thinking technologist. ...
People talk about prompt engineering but not enough about task abstraction.
...not enough about task abstraction. That is, to lever the task to the point that Llms can reason about it
We should focus on fresh use cases in the age of AI, not the busted ones.
... not the busted ones. Use cases that are transformative and not possible before LLMs have more return than use cases that were possible before LLMs but could just be a little more efficient with LLMs. The assumptions of the systems ar...
Rust and similar systems make it harder to utter but easier to listen.
...e is now cheaper so you can have languages that give formal guarantees but that LLMs can be patient enough to use.
I love this piece in Cosmos on "social tinkering".
...ative curiosity.[et] This distinction also gets at why Bret Victor doesn't like LLMs: it moves people to an outsourced thinking position.
Socrates critiqued writing because you couldn't talk with a book.
Socrates critiqued writing because you couldn't talk with a book. But now, with LLMs, you can. It only took us a couple thousand years.
The disruptiveness of "work to rule" strikes implies that automation by LLMs could have a ceiling of effectiveness in complex domains.
The disruptiveness of "work to rule" strikes implies that automation by LLMs could have a ceiling of effectiveness in complex domains.
I loved this socratic dialogue from Geoffrey Litt about why chat is not the final UI for LLMs.
...socratic dialogue from Geoffrey Litt[fq] about why chat is not the final UI for LLMs.
Every form of UX around chatbots today has tried to grapple with the model's limitations.
...downsides fundamental to chat itself? Those will help discover the ideal UX for LLMs.
If chat isn't a good UI for LLMs, why is it winning?
If chat isn't a good UI for LLMs, why is it winning? To me it's entirely based on the novelty of LLMs, everyone's just experimenting with them right now and starting open-ended tasks...