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?
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 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.
Range2023-11-06 to 2026-08-03Mean6.0 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 790 observations sorted from latest to earliest.
... AI Error.
"The human fascination with conversation has led us AI astray,"
The "LLMs being an anthropomorphized agent" is a hack that makes it easier for users to connect with this alien technology.
Like the aliens in Contact.
Not its...
Joel Simon's Creative Exploration with Reasoning LLMs is interesting.
If you ask LLMs to be creative they converge to the mush average.
But if you inject structured noise, for example by having it apply ...
...a minor.
Earlier in my career the CS felt more useful.
But now with the rise of LLMs, this odd kind of cultural technology that is grown, not built, Social Studies feels more valuable.
...uality, convincing arguments[ak] used to require a significant skill to do.
Now LLMs make it so anyone can spin them up at a moment's notice.
That cheapens even truly well written and effective argumentation.
Will we have to evolve a ...
With LLMs, the benefits seem to have shifted decisively to typed languages.
Typed languages are much easier to iterate within without breaking things.
The prob...
...ating strings of source code.
AST is hard for humans to understand, but not for LLMs!
LLMs have the patience to deal with complicated types.
Even if they don't understand it at first, they are willing to try again and again and again ...
LLMs can do qualitative nuance at quantitative scale.
This ability can be used for you, or against you.
By default, it will be used against you.
Distillin...
...ze queries.
Follow standard practices and you don't have to think about it.
Now LLMs make all text executable.
Frameworks don't help.
Everything is code.
XSS has a solution: we can parse HTML/JS with 100% accuracy and sanitize it.
Eve...
This week's wild west roundup, this time using LLMs incidentally in attack chains:
Nx compromised: malware uses Claude code CLI to explore the filesystem
zack_overflow: "A popular NPM package got compr...
... one I was thinking of.
I imagine we'll see much more web traffic in the age of LLMs.
A single user intent can spawn orders of magnitude more searches and fetches on their behalf.
More traffic to websites, without more intent, seems l...
Are LLMs mass media or not?
On the one hand there's a single shared model that has specific biases that shape all interactions with them.
Some of them are rea...
...o multiplied by infinity is infinity.
"Prompt injection won't be a problem once LLMs get perfectly good at not being tricked" is absurd.
Prompt injection comes from a coevolving adversary, not a static distribution of quality.
That me...
I think the world is ready for the dishwasher and microwave oven of LLMs.
Today we have the faux humanoid robot that talks and acts like a (weird) human).
Chat is a new UI to put on top of all those tools but not be the an...
The fact that LLMs still require humans in the loop to get good recurrent results undermines the "AGI is imminent" perspective.
Even if the LLM is right 95% of the time...