LLMs can be infinitely sycophantic.
LLMs can be infinitely sycophantic. But if they aren't, that's bad too, because you have to trust its motives and the motives of who created it to be alig...
Topic: llms
1,749 mentions · 790 chunks · 131 episodes
184.9× 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.
1.5x 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 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.
Observations
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The primary evidence view for this topic. Sort it chronologically when you want concrete examples behind the larger pattern.
You don't want as much context as possible, you want the right context.
...context as possible, you want the right context. The wrong context confuses the LLMs and makes them spiral out of control, losing the plot. What you want is the smallest amount of context that will give the LLM what it needs to give y...
The question is not, "how to do cool open ended things with LLMs."
The question is not, "how to do cool open ended things with LLMs." That's easy. As a chatbot, it's trivial. As a thing that can do tool use (and possibly have side effects), it's easy to do for enthusiasts who are ...
Imagine a system where LLMs generate new combinations that a community of humans curate emergently through their individual authentic actions.
Imagine a system where LLMs generate new combinations that a community of humans curate emergently through their individual authentic actions. LLMs help create "patterns": littl...
Smalltalk could do anything...
...ever took off outside of niche applications. Maybe that changes in the world of LLMs?
Claude multiplies your inherent skill as a programmer.
...y code. If you're a curated programmer you'll get a lot of curated code. Before LLMs, sloppy programmers could at least make a lot of progress, which was an advantage. But now the LLMs do that part for free and for everyone. The balan...
Don't let LLMs make load-bearing security decisions.
Don't let LLMs make load-bearing security decisions.
Anthea's newest piece compares LLMs as freeing a caged tiger.
Anthea's newest piece compares LLMs as freeing a caged tiger. The thinker is a caged tiger set free with intellectual collaborators willing to go wherever you want to go. A cage is also...
Swarming sort powered by real people can discover novel things.
...people making real decisions that align with their authentic needs and context. LLMs are a fossilized version of real people's decisions; it can't pick something novel. It looks superficially the same, but it's fundamentally different...
An AI native organization will probably optimize more for talent density.
...r of exceptional people over a larger number of merely competent people. Before LLMs, many execution tasks required a human, so you needed bodies. Now exceptional employees can have more leverage.
LLMs are like water.
LLMs are like water. They dilute anything you add them to. If you give them something already boring, it gets more boring. But if you give them juice conc...
Most software today is UI CRUD wrappers around databases.
...atabase to a real consumer need requires lots of complex specialized stuff. But LLMs might not need that. It's kind of weird that the LLM model creators also have consumer frontends to them. It shows how powerful LLMs are that they ca...
Lots of products only work once you have a couple of eager collaborators.
...tors. These are extremely hard to bootstrap, even if they're very powerful. But LLMs are infinitely patient, always game to do whatever you put them up to. LLMs can now be your eager first collaborator, making it much easier to get th...
All of the coding agents are nothing without Claude.
...en the actual LLM-native software yet. The software that takes for granted that LLMs exist, not as the primary input, but as a secondary one.
Code is cheap to build, expensive to have.
Code is cheap to build, expensive to have. This is even more true in a world of LLMs. YAGNI.
There is no solution to prompt injection in systems where LLMs call the shots.
There is no solution to prompt injection in systems where LLMs call the shots. LLMs seeing raw data and being asked to make load-bearing security decisions cannot be made safe, no matter how good the model gets. ...
Moonshot's goal: "an optimal solution to convert energy into intelligence."
...ld add the word "useful" in front of intelligence. You could imagine having two LLMs that require huge amounts of compute locked in an infinite debate spiral about how many angels can dance on the head of a pin. Or more likely: a red ...
Code is a language.
...usly only a very small set of "high priests" were able to wield this power. Now LLMs as a collaborator have the world's knowledge and infinite patience. Many more people can wield LLMs as a collaborator to marshal code.
Social media shows the downside of echo chambers.
Social media shows the downside of echo chambers. Now with LLMs you can have echo chambers for a single user.[ep][eq] Uh oh!
Having a diverse set of people who ground you is super important.
...echo chamber. It's especially important for people who spend a lot of time with LLMs, figuring out creative ways to work with them. If you spend more time with LLMs than people, you could decohere from society and truth, with no groun...