An important skill: being able to think in a multi-dimensional latent space… but also collapse it to situated concreteness on demand.
...ensional latent space… but also collapse it to situated concreteness on demand. LLMs are great at this!
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.
LLMs can give you the illusion of hyper competence.
LLMs can give you the illusion of hyper competence. They're steelmanning mirrors. They reflect back the strongest version of whatever you gave them. You w...
Humans can be committed to their utterances, but LLMs can't be.
Humans can be committed to their utterances, but LLMs can't be. LLMs are fundamentally incapable of commitment. After the conversation, they're gone![d] Commitment requires you to be in the world. To be ...
The power of meta: don't make an "X," make a "machine to make an X."
...ake the machine, then you now can get an order of magnitude more leverage. With LLMs, this is now even more viable in more situations. Everything you do should be able to build itself.
AI unleashes your potential in proportion to both your spikes but also your valleys.
...each, but we were fundamentally held back to the level of our valleys. But now, LLMs can fill in any of our intellectual valleys with 90th percentile skill. If you didn't have many spikes, it doesn't do that much for you; just brings ...
We'll have a monoculture of LLMs.
We'll have a monoculture of LLMs. Everyone will use the best LLMs they have access to. There will only be a handful of frontier models that are able to achieve the very best quality....
A colleague had two agents cooperate directly on a programming problem.
...er." It's kind of sweet… and also kind of an unintentional sorta-koan about the LLMs' existence. After this interaction, the LLM will experience nothing further.
LLMs multiply your ability.
LLMs multiply your ability. Junior engineers are doubled. Senior engineers are 10x. Legendary engineers are 100x. The tacit knowledge of seasoned engineer...
Now that LLMs give qualitative nuance at quantitative scale, the goal is to maximize how much the system can see.
Now that LLMs give qualitative nuance at quantitative scale, the goal is to maximize how much the system can see. The more it can see, the more power it has. The p...
LLMs can help us think more deeply about second order implications.
LLMs can help us think more deeply about second order implications. It takes 10x more at each order to reason about it... but LLMs have infinite patience!
When the LLM spontaneously does things you like and want it to do again, distill it into skills.
...rived configuration. The next level down is fully mechanistic software. Use the LLMs in proportion to surprise.
LLMs have no memory so they externalize it, promiscuously.
LLMs have no memory so they externalize it, promiscuously. They trust whatever context they're running in to accurately remember what has happened and to ...
A frame: animistic design.
...agine each object being able to take initiative, but not being omniscient. With LLMs, this can become a literal reality more easily.
Thoroughness requires patience.
Thoroughness requires patience. Humans are terrible at being patient. LLMs are excellent at it.
Demis Hassabis has drawn a parallel between coal for the industrial revolution, and the internet for an intelligence revolution of LLMs.
...r the industrial revolution, and the internet for an intelligence revolution of LLMs. That's a fundamentally extractive claim. Coal isn't spontaneously generated, like content on the internet used to be. A better metaphor for the inte...
It's easier to be token-efficient in domains you already have expertise in.
..., have it spin up adversarial review sub-agents often. To get good results from LLMs requires meta-cognition. You have it in the domains you have expertise in, automatically. You don't have it in other domains. Some structures can pro...
LLMs are the world's best rubber duck.
LLMs are the world's best rubber duck. With real human rubber ducks, you have to worry about wasting their time. LLMs have infinite patience!
An insightful HackerNews comment about the faux variety of LLM responses:
...ifferent skills and different moods (etc.) to write those books. But if you ask LLMs to write 1,000 books, you're probably only talking to 3 or 5 different models, tops. They've all trained on the same or similar data, and are trained...
LLMs do great when complemented with structured information that is ground-truthed.
LLMs do great when complemented with structured information that is ground-truthed. As they accumulate their own information, they can confuse themselves,...
The United States frontier was partitioned according to the Public Land Survey System.
...ain of our lives. Before, it was not feasible to be more precise. But now, with LLMs, we can be!