The United States frontier was partitioned according to the Public Land Survey System.
...ain of our lives. Before, it was not feasible to be more precise. But now, with LLMs, we can be!
Topic: llms
1,690 mentions · 755 chunks · 125 episodes
179.0× distinctiveness vs baseline
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How much more common this term is here than in ordinary English. Higher values mean the topic is more characteristic of this corpus.
1.5x burst in 2025 Q1
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Peak quarter intensity across the topic's active span. Higher values mean attention was concentrated into a shorter stretch rather than spread evenly over time.
Topic summary
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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 755 chunks across 125 episodes, from 2023-11-06 to 2026-06-15.
- Its densest episode is Bits and Bobs 10/20/25 (2025-10-20), with 17 observations on this topic.
- Semantically it travels with ChatGPT, Claude, and Google, while by chunk count it sits between Claude; its yearly rank moved from #2 in 2023 to #1 in 2026.
Over time
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Raw mentions over time. Use this to see absolute attention, not relative rank among all topics.
Observations
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The primary evidence view for this topic. Sort it chronologically when you want concrete examples behind the larger pattern.
LLMs make intellectual technicians less necessary.
LLMs make intellectual technicians less necessary. It used to be that there were certain domains that were too complicated to be operated by anyone who wa...
LLMs are great at making prototypes more real.
LLMs are great at making prototypes more real. Once you have something that works and is usable, you can do Throughline Tacking to discover the main goals...
A tweet making an interesting observation: "No one really claims that alphafold is conscious, or that sora or midjourney or dall-e are conscious."
...at alphafold is conscious, or that sora or midjourney or dall-e are conscious." LLMs feel more conscious because they can talk to us in our language.
LLMs can make a superficially compelling argument even on absurd premises.
LLMs can make a superficially compelling argument even on absurd premises. If you ask it to "Give me a mathematical proof that dragons exist," it will gen...
A new piece from Ben Hunt: Contact: AI and the Semantic Dimension.
... the Semantic Dimension. Makes the case that there is a semantic dimension that LLMs are able to surf through. A dimension that is in a separate plane from the spatial dimensions. Before, we could sense it, but only indirectly. Now we...
LLMs have made it so much more of the potential of programming is possible.
LLMs have made it so much more of the potential of programming is possible. Programming has infinite, open-ended possibility. But before, it was too expen...
The level of difficulty that people can tackle goes way up with LLMs.
The level of difficulty that people can tackle goes way up with LLMs. The stuff that was hard is now easy. The stuff that was impossible is now hard.
A sweet spot for LLMs: drawing on expertise across many different domains.
A sweet spot for LLMs: drawing on expertise across many different domains. Humans can only become experts in a handful of domains. There are tons of combinations of domain...
Whenever model providers complain about others distilling their models, I think about the Project Panama images.
.... A warehouse full of books deliberately destroyed by the ingestion process for LLMs. I'm glad they did it, I think LLMs are useful for society and I'd rather have them include that data than not. But I feel visceral disgust when I se...
As more and more tasks move to being done by AI, the basis of competition changes.
.... Before, your differential in quality on that task gave you an edge. Now, when LLMs are better than you (and most everyone else), everyone just outsources to the AI. The rising quality of LLMs forces you to commoditize your different...
It's hard to get on the first rung of a skill ladder when the LLM is better than you.
...hem on the ladder, where they could iteratively pull themselves up. But now the LLMs mean that for what used to be the earliest rungs, the LLM can do a better job. You might as well use the LLM to do it… but without understanding it, ...
An essay from my friend Kasey: English isn't a programming language (yet)
... from my friend Kasey: English isn't a programming language (yet) It feels like LLMs allow a new kind of boundary object between domains in software development.
Humans get better over time.
...s get more and more confused over the course of a session.[h] Humans learn, but LLMs don't. It's a fixed underlying model, and the context, which approximates learning in a session, gets increasingly polluted and corrupted.
LLMs are like sea level dropping by 10 meters.
LLMs are like sea level dropping by 10 meters.[j] A previously expensive thing (writing code) drops its cost by multiple orders of magnitude. The most obv...
It's unclear how LLMs will affect open source.
It's unclear how LLMs will affect open source. It's possible that we've been in a golden age of open source that is coming to a close. Before the difficulty of making the ...
The first 90% of creating software is now 10x faster, but the last 90% is no faster.
...h and productionization has always felt wildly slower than the first phase, but LLMs 10x it. The first phase sets the expectations unreasonably high!
We grow software now.
We grow software now. That was always true, even before LLMs. But now it's obviously, inescapably true.
The labs are all betting on the models solving all problems.
... long to train and adapt. They are also a closed set. Another approach: use the LLMs as dumb muscle, not the brains. The brains would still come from real users with situated judgement. If you could have the human judgment at a faster...
When you have an auto-catalyzing system, don't write down the answer, but the process that made it.
...ue with distilled ranking signals in Search. But it's also true in the world of LLMs.