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...
Topic: llms
1,749 mentions · 790 chunks · 131 episodes
184.9× distinctiveness vs baseline
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1.5x burst in 2025 Q1
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Topic summary
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- 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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Observations
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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 ...
The more time you're fiddling with GPUs, the less time you're playing with the AI to develop intuition for what it can do.
...e you're playing with the AI to develop intuition for what it can do.[ads][adt] LLMs are primarily a sociological phenomena; understanding them at the object level of running them doesn't tell you what you can use them for.
Right brain energy will become more important in a world of LLMs.
Right brain energy will become more important in a world of LLMs. Left brain energy is structured, convergent. Right brain energy is creative, divergent. LLMs can do convergent, best-practice thinking quite well. L...
The trick in this new era will be to figure out how to weave in human taste with leverage.
...is new era will be to figure out how to weave in human taste with leverage. The LLMs shouldn't decide if something is good, the humans do. If you can create mechanisms to reflect back those human quality decisions so others in the eco...
Shitty software in the small is now practically free to create.
... way to architect software, that is AI-native. Don't use the disruptive tech of LLMs try to build apps of today 20% faster. Build new kinds of apps.[adx] Shitty software in the small allows infinite disposable component.[ady]