If the web wasn't open then LLMs could never have been created in the first place.
If the web wasn't open then LLMs could never have been created in the first place.
Topic: llms
1,841 mentions · 834 chunks · 141 episodes
194.1× 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.
1.6x burst in 2025 Q1
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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 834 chunks across 141 episodes, from 2023-11-06 to 2026-10-12.
- Its densest episode is Bits and Bobs 10/20/25 (2025-10-20), with 17 observations on this topic.
- Semantically it travels with Claude, ChatGPT, and Meta, 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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Observations
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The primary evidence view for this topic. Sort it chronologically when you want concrete examples behind the larger pattern.
One user talking to a fixed model is a sub-linear business.
...hat's possible. An ecosystem of emergent collective intelligence, lubricated by LLMs, is a super-linear business. The quality of the LLM sets the floor of what is possible. The floor that the collective intelligence can accrete on top...
You can't live on a little random island in the middle of the sea.
... via bridges, then it's way more likely to be survivable. Software generated by LLMs today are little islands, isolated from everything else you want to do. LLMs can only do shitty software in the small (without a human significantly ...
Both The Algorithm and LLMs are ultimately powered by human decisions.
Both The Algorithm and LLMs are ultimately powered by human decisions. The Algorithm here meaning any ranking function that relies on human interaction to rank an infinite feed....
LLMs could allow humans to think 10,000 times more.
LLMs could allow humans to think 10,000 times more. But whether that's a good thing depends on what they bother thinking about. Thinking about creating ad...
People are acting like chatbots is the UX for the AI era.
... it can be compelling on its own. But they also cement the wrong mental model: "LLMs are just like a person, but virtual." That vastly misunderstands what LLMs are, what they can do, how they could be used. LLMs are an alien brain. Th...
It seems like playing with reasoning will be enormously useful in improving the capability of models.
...ously useful in improving the capability of models. In the earlier micro-era of LLMs it was all about the scale of how much world knowledge you could cram in. Extremely capital intensive. It feels like we've topped out on that, and no...
Two very different approaches for LLMs now:
Two very different approaches for LLMs now: 1) The 'Cloud Provider' model: commodity hosting of models. Compete on cost. The hosting is the point. The model is commodity. 2) The 'LLM Provi...
Why is there not a market for spreadsheet templates?
... also if all of the details were visible you'd be overwhelmed by it. Humans and LLMs would both struggle. A tangled mess of wiring between cells. Finally, when the medium to express your ideas has no opinion, it just ends up being "ju...
Liquid software: you pour it into a container, it takes the shape of the container.
... doesn't have one. It takes on the shape of whatever container you put it into. LLMs are a natural ingredient for liquid software. We need better containers for liquid software. The chatbot UX is fuzzy but not liquid.
Shitty software in the small is now free, so instead of thinking "how can I make the LLMs coding output more like how we write software today", think "what can we now create given that this whole class of stuff is now free"
...y software in the small is now free, so instead of thinking "how can I make the LLMs coding output more like how we write software today", think "what can we now create given that this whole class of stuff is now free" You need a new ...
The most helpful people are the ones most liable to being tricked via social engineering.
...ful people are the ones most liable to being tricked via social engineering. If LLMs weren't guidable, then they wouldn't be useful. So they have to be at least a little gullible.
LLMs are fundamentally exposed to the prompt injection problem.
LLMs are fundamentally exposed to the prompt injection problem. There's no containment boundary between the data and control planes.[aci] Unlike in SQL, t...
Normal programs are robots that can't be tricked in novel ways, because they can't think.
...med to do. They can only have a structural pre-existing weakness exploited. But LLMs are like helpful humans: super gullible.
Without humans in the loop LLMs just produce slop.
Without humans in the loop LLMs just produce slop. Humans are the curatorial energy that help find the greatness amid the cacophony and extract it. The right answer is not "how to h...
LLMs are more a sociological phenomena than a technological one.
LLMs are more a sociological phenomena[acu] than a technological one. LLMs are best thought of as sociological mirrors of human society, not technological...
Remember: we're at the "filming stage shows" stage with LLMs.
Remember: we're at the "filming stage shows[adb]" stage with LLMs. In film, it took awhile to discover the power of montage, a particular superpower of the medium. We don't yet know what the particular superpower of...
The challenge with LLMs is often giving them the right context.
The challenge with LLMs is often giving them the right context.[add][ade] It's not that they lack a baseline common sense, it's that they don't know anything about your part...
A simple trick to change how LLMs reason: every so often, inject "Wait, but " into the in-progress reasoning token stream.
A simple trick to change how LLMs reason: every so often, inject "Wait, but " into the in-progress reasoning token stream[adf]. This forces the LLM to reflect on what it might have mi...
I've talked in the past about how chatbot UX feels wrong.
... any human... and also lacks some aspects of common sense. I see dialogues with LLMs as not a conversation but an act of co-creation, and a chatbot UX seems to undermine that, and foreclose[adi] on other interactions. An alternate UX ...