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?
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.
Related:?
Topics that appear in the same chunks as this one. Use this to find semantic neighbors, not ranking neighbors.
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.
Range2023-11-06 to 2026-10-12Mean5.9 per episodePeak17 on 2025-10-20
Observations
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The primary evidence view for this topic. Sort it chronologically when you want concrete examples behind the larger pattern.
Showing 834 observations sorted from latest to earliest.
...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.
Left brain energy is structured, convergent.
Right brain energy is creative, divergent.
LLMs can do convergent, best-practice thinking quite well.
L...
...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...
... 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]
LLMs are like clay. [ael]Normal programming is like legos.
Precise, unyielding, but flexible in combination.
LLMs are inherently flexible. For some use ca...
... until after!
Even a lot of people in the industry who are thinking a lot about LLMs are implicitly thinking about them as simply a sustaining technology (though they think they're thinking about things disruptively).
Disruptive thing...
LLMs are a disruptive innovation that will change the world[afb][afc][afd].
On the same scope of impact as:
The printing press
Electricity
The internet.
T...
LLMs are human-level common sense[afl] with infinite patience, many orders of magnitude cheaper than real humans.
It's impossible for that to not be disru...
... say based on the category they fit in.[afv]
A similar test could be applied to LLMs: the novelty of an utterance has to do with the inverse of the likelihood[afw] that that next token would be predicted by the LLM based on the preced...
The power of LLMs comes from humans.
Both the background knowledge that makes them smart is from culture[afy].
But also the thing that makes their output good is the q...
LLMs talk to us like they're a human, but they're a collective hive mind of society, presenting as a singular "person".
Like the alien in Contact.
"I'm as...
...ake work.
Many hobbies are very hard to start doing, and hard to get better at.
LLMs are great at being an intellectual and creative dance partner, helping you grow in a forgiving environment.[agl][agm]
LLMs make it "cheaper" to start...
LLMs allow a new medium for communication.
Don't use LLMs to write books.
Books are a static communication medium, one-size-fits-all, frozen for all time....
Are you using LLMs right?
The test is, are you thinking more or less?
If you give its answer directly to others (without curation), you are giving an average, eroding y...
A nice piece from my friend Dimitri about two patterns for using LLMs.
One pattern is the open-ended conversation.
One is a recipe for generating insight from interactions.
What would an OS look like that took LLMs for granted?
Not a patch job on top of the OSes we have today, but a new kind of "OS" that was AI-native, and built in a world that assumed high-qual...
... talking to a person, but talking to the collective hive mind of humanity.[ajm]
LLMs give great guacamole recipes, because they've seen every guacamole recipe and can triangulate what they all have in common.
LLMs shouldn't help you do less thinking, they should help you do more thinking[ajn][ajo][ajp]
They give you higher leverage.
Will that cause you to be sa...