The fact that talking to a chatbot feels superficially like talking to a person is a bug.
...nd a potentially dangerous one! The most natural and powerful interactions with LLMs will not be via a chatbot.
Topic: llms
1,749 mentions · 790 chunks · 131 episodes
184.9× distinctiveness vs baseline
?
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.
Topic summary
?
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
?
Raw mentions over time. Use this to see absolute attention, not relative rank among all topics.
Observations
?
The primary evidence view for this topic. Sort it chronologically when you want concrete examples behind the larger pattern.
Will LLMs lead to compounding ambiguity in communication?
Will LLMs lead to compounding ambiguity in communication? There's value in shrouding a potentially controversial statement in load-bearing ambiguity to keep th...
There's an explosion of AI-assisted browsers, but I think it's a dead end.
...um. Also, it's becoming more clear that owning the context will matter, to make LLMs maximally useful for a given user. The cookie jar is an obvious, highly distilled source of context. But if you actually look inside your cookie jar ...
Before GUIs the computers booted into the CLI.
...e missing the GUI for LLM native software. Chatbots are the command line to get LLMs to do structured things. You need to know arcane knowledge for LLMs to do structured or complex things for you today. It just so happens that they're...
To be interesting it has to be opinionated.
To be interesting it has to be opinionated. That's why LLMs by default aren't interesting. They give you the view from nowhere[bw]. They seek perfect "objectivity", a one-size-fits-none impossibility.
The future of your data is a story that can weave itself at multiple layers on top.
...n top. Weaving stories required human effort. Now with the infinite patience of LLMs it's less about the human doing it and more about the human giving permission for data to be built upon.
LLMs can do qualitative nuance at quantitative scale...
LLMs can do qualitative nuance at quantitative scale... but at 90% quality. So they can do a good enough job in a lot of cases, but if you feed their own ...
The best way to think about LLMs for writing code is like managing a team of interns.
The best way to think about LLMs for writing code is like managing a team of interns. You could have done the work yourself, but they did it and you verified.
LLMs are infinitely patient, which means they can loop indefinitely.
LLMs are infinitely patient, which means they can loop indefinitely. This can be a powerful force. An LLM looping and curating, with a stable goal to opti...
I talked to a developer this week who said he doesn't directly use open source code anymore.
...they could fix a bug you do want. Instead of vendoring a dependency, he has the LLMs draw on their inherent knowledge from all of open source to distill a bespoke, fit for purpose library in place.
Finding schelling points can unlock convergence.
...tural schelling points requires cognitive labor that used to be scarce. But now LLMs might help sift through and find the obvious schelling points. Of course, this would change the internal politics meta-game…
A little bit of alignment of goals can create great results, emergently.
...ently. It used to be a pain to think through it for each decision. But now with LLMs and their infinite patience, it's easier to have a fuzzy set of values and mission statement operationalized. Every decision can be run through an LL...
LLMs are losing the ability to simulate real people.
LLMs are losing the ability to simulate real people. LLMs are largely a warped mirror of all of the human input. It used to be possible to use LLMs as a k...
Apps are the wrong soil for the seeds of LLMs to blossom into their full potential.
Apps are the wrong soil for the seeds of LLMs to blossom into their full potential.
Three pace layers of prototyping with LLMs:
Three pace layers of prototyping with LLMs: 1) The LLM does everything. Expensive, loosey-goosey, flexible 2) The LLM behavior is sublimated into a mechanistic harness that can be run inside o...
The printing press kicked off the enlightenment.
The printing press kicked off the enlightenment. LLMs have the potential to be the printing press for turing completeness.
LLMs can look at many different emails that you missed the details in because you got bored.
LLMs can look at many different emails that you missed the details in because you got bored. A power of infinite patience! These can help assist you with ...
Our questions are often similar.
... but go to a different source you'll get a different answer. The monoculture of LLMs leads to everyone having the same answers to the same questions.[ck] I heard of someone who thought someone else had plagiarized their essay. Turns o...
This week's round up of "we're in the wild west era with LLMs":
This week's round up of "we're in the wild west era with LLMs": A postmortem for a vibecoded tool called DrawAFish that had abuse problems. A Cursor exploit that allows arbitrary remote code execution. AgentFlay...
The most important ability of LLMs is infinite patience.
The most important ability of LLMs is infinite patience. What kinds of information tasks could normal humans do if they never got bored?[cy]