LLMs are not the thing; they create the conditions for the thing.
LLMs are not the thing; they create the conditions for the thing. They disrupt the cost structures, enabling the creation of a new thing. Back before the ...
Topic: llms
1,749 mentions · 790 chunks · 131 episodes
184.9× 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 790 chunks across 131 episodes, from 2023-11-06 to 2026-08-03.
- 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.
Apparently a famous musician had an interesting tactic for developing new ideas.
...nly possible because he was so rich. But now anyone savvy enough can do it with LLMs!
LLM output is kind of like the tyranny of marginal information.
...e in the entire corpus of humanity you get the middle of the distribution. Will LLMs help people find new ideas / vibes? Or do LLMs just drive to the average of everything? The LLM is un-opinionated and bland. But where you drive it i...
One of the best use cases for LLMs: they can compile English to code.
One of the best use cases for LLMs: they can compile English to code. The implications of this are significant. English is at a much higher pace layer than traditional code, which allo...
Normal LLM models are like the brain's System 1.
... problems that the right expert could give a gut answer on and be right. Normal LLMs are great at these. Some problems are inherently multi-ply problems. Even experts in the field would have to sit down to think it through This is whe...
o1 is not like other LLMs; it's a different type of thing.
o1 is not like other LLMs; it's a different type of thing. It's more akin to comparing whole systems/scaffolding (e.g. Github Copilot Workspaces) around a model than comparing...
Just because LLMs can talk doesn't mean your app should have them talk.
Just because LLMs can talk doesn't mean your app should have them talk. A lot of UX patterns today using LLMs imply working with a human. When there's an implied human...
The only way to learn how to use LLMs is to get hands-on experience with them.
The only way to learn how to use LLMs is to get hands-on experience with them. The open-endedness is intimidating! But the more you use LLMs, the more of a feel for them you get, the bett...
Most software for specific needs is very simple.
...lish to software in the small. Small niche software is very low complexity, and LLMs can do a very good job with it.
Spontaneous software is clearly a high potential use for LLMs.
Spontaneous software is clearly a high potential use for LLMs. There are lots of amazing systems that have sprouted up for making spontaneous software. But all of those existing systems so far are about creating...
LLMs help patchwork thinkers more than highly ordered thinkers.
LLMs help patchwork thinkers more than highly ordered thinkers. The former jump between things with connections, and LLMs help do that for quickly. The la...
A famous Murray Gell-Mann quote: "Imagine how hard physics would be if atoms could think."
...in other systems, less in control of the output, and look down on them. But now LLMs can "think". Suddenly, corralling them becomes harder than writing code!
It's amazing how much competition there is for LLMs.
It's amazing how much competition there is for LLMs. Everyone standardized on OpenAI's API, which allows fast switching between providers. Whichever knowledgebase users store their data in for the LLM ...
If you try to fit LLMs into your existing workflow, it will fail.
If you try to fit LLMs into your existing workflow, it will fail. But people who are willing to change their workflow can realize its power. Programmers can change their ow...
Without the internet it would be impossible to have LLMs.
Without the internet it would be impossible to have LLMs. The "assembly condition" of LLMs is language --> books -> internet -> LLMs. LLMs could not exist without any of those steps in that chain.
If an LLM could do it, then don't form a company on that thesis!
...ated based on what would have been hard to do in the past. But now everyone has LLMs. It's not a cheat code that only you figured out. The "be the first, and then get a compounding advantage" only works if it's hard to build what you ...
Taste has always been the most important, but it wasn't always obvious.
...of fast content production, taste remains as important. If you have good taste, LLMs can now allow you to get that stuff generated 10 times faster. With tools like generative AI, the difference between curation and creation will get e...
Things written by LLMs are slop.
Things written by LLMs are slop. Integration code written to combine disparate things is glue code. Glue code written by LLMs is glop. Glop is a kind of black box; it doesn...
LLMs can be used as compilers.
LLMs can be used as compilers. They compile English to code. This is extraordinary! As a creator, you can sketch out real code and English intermixed. The...
The most important thing to drive LLMs is to curate good context.
The most important thing to drive LLMs is to curate good context. With the right context, LLMs are very good at producing high-quality output. The hard part is no longer the magical thing ...