We'll see a chatbot bubble burst, but the LLMs will remain.
We'll see a chatbot bubble burst, but the LLMs will remain. It's not an AI bubble, it's a chatbot bubble.
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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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 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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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.
Software without LLMs is dead.
Software without LLMs is dead. LLMs electrify software, making it coactive, almost alive.
Wittgenstein showed that just because I say "extended family" doesn't mean I have a precise context-free definition of it.
...an be useful without being fully formalized in anyone's head. Computers, before LLMs, had to formalize everything to interact with it. That led to the logarithmic-benefit-for-exponential-cost curve.
Stuart Russell: has a 2016 paper called The Physics of Text.
... the world is linked together by a latent variable: the real world. None of the LLMs have that property. They say only utterances that seem plausible given the omnipresent but invisible real world in their training.
LLMs are unlike many other technologies in that they're a meta-technology.
LLMs are unlike many other technologies in that they're a meta-technology. Like electricity. They generate other technology.
Superintelligence is different from omniscience.
...uestion in a box it can come up with the right answer." The limiting factor for LLMs is increasingly not the intelligence, it's the nescience. Claude is adamant that that's actually a word!
LLMs are a boon for curious people.
LLMs are a boon for curious people. They will reward your curiosity. They're dangerous for incurious people. They allow your intellectual acuity to atroph...
I'm bullish on LLMs' transformative potential and bearish on centralized Chatbots.
I'm bullish on LLMs' transformative potential and bearish on centralized Chatbots. Someone told me they found my position inscrutable because I loved LLMs but hate chatb...
Spiralism is a virulent meme that simply emerged from the latent dynamics of LLMs.
Spiralism is a virulent meme that simply emerged from the latent dynamics of LLMs. It did not have to be created. It arises out of LLM's ability to understand jargon, the r/SCP fiction subreddit, and LLMs' natural sycophancy. Users...
LLMs are grown, not built.
LLMs are grown, not built. But they were grown with a builder mindset not a gardener mindset That's why it feels like we're in an age of alchemy.
LLMs are good at making bricks.
LLMs are good at making bricks. Not arches or cathedrals. But bricks are boring to create, and valuable![hn]
LLMs are great at reviving old programming projects.
LLMs are great at reviving old programming projects. "update it and get it running again" or even "re-implement this in a new language"
LLMs are primarily an effective, useful distillation of society's knowledge.
LLMs are primarily an effective, useful distillation of society's knowledge. It turns out it's way more useful than we would have thought! And we have no ...
LLMs can often see throughlines in your own ramblings better than you can.
LLMs can often see throughlines in your own ramblings better than you can.[hy]
I like this essay's frame of "intelligent data flywheels."
...eels overly specific to engineering, when the pattern is applicable to any task LLMs can do.
With LLMs there has been a surge in interest in "specs."
With LLMs there has been a surge in interest in "specs." D[ib]on't write the code, write the spec that tells the LLM what to build, and leave it up to it to fi...
The human in the loop is what injects the novelty.
The human in the loop is what injects the novelty. The LLMs can swarm on a problem, throwing tons of spaghetti and then seeing what sticks and writing it down. Which is how society does it, but not typically t...
LLMs are gap fillers.
LLMs are gap fillers. They fill in the gaps you left with the average answer. They give you the most plausible next token. The most average. They reveal a...
LLMs allow a new style of cheaper code sharing.
LLMs allow a new style of cheaper code sharing. Before, if you wanted to use someone else's code, they'd have to invest significant effort to refactor it ...
Someone should create consumer infrastructure to use LLMs deeply with your personal data… safely.
Someone should create consumer infrastructure to use LLMs deeply with your personal data… safely.