You need both code and LLMs to unpack the power of AI.
You need both code and LLMs to unpack the power of AI. Code is the skeleton. LLMs are the muscle. Most approaches today assume the LLM should be in charge over the code. But I t...
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.
When LLMs are trained, they grow not like a plant but a crystal.
When LLMs are trained, they grow not like a plant but a crystal. A plant has its own intrinsic, emergent motivations to survive and thrive. The force for growt...
Two prompting strategies to help deal with LLMs' tendency to agree with you.
Two prompting strategies to help deal with LLMs' tendency to agree with you. LLMs have a bias towards confirming your position… which might mean you get bad results if you're wrong. One pattern is ...
LLMs have knowledge, not knowhow.
LLMs have knowledge, not knowhow. They've "read" every book. But they've never done anything. It's knowhow that helps you make good decisions in practice.
My husband has a nightshade allergy.
...ner date with my husband, it warned you "Remember, Daniel can't eat that dish." LLMs have infinite patience. The right structure could help them help us in way more parts of our life.
With LLMs, a lot of things that used to be extremely expensive are now extremely cheap.
With LLMs, a lot of things that used to be extremely expensive are now extremely cheap. It will take us a decade to figure out where it all applies. That's tru...
This week in "we're in the wild west era" of LLMs.
This week in "we're in the wild west era" of LLMs. A benign flan recipe injection in a LinkedIn profile went viral. Even The Economist is talking about prompt injection and The Lethal Trifecta! They ...
A consistent bias: the LLM will agree with your side of the story.
...you wouldn't be as likely to talk to it. Friends in real life do this, too. But LLMs take it to another level of sycophancy. LLMs are good at bridging between two perspectives... but because of RLHF all they do is "here's how to steel...
Anthropic is about to release a feature of LLM-powered software.
...underneath. Someone will figure out the right complement of normal software and LLMs, and it will change the world. It's a hard combination to nail, both in finding something useful and something secure!
Two models for collaborating with LLMs for writing: AI-as-writer and AI-as-editor.
Two models for collaborating with LLMs for writing: AI-as-writer and AI-as-editor. In each, the human implicitly plays the other role. If you have a ton of experience as an editor, you can...
"Magic" is another example of the smuggled infinity.
...ic, and thus non-viable. Prompt injection approaches that use an extra layer of LLMs are fundamentally non-viable.
A useful pattern for LLMs is the Ralph pattern.
A useful pattern for LLMs is the Ralph pattern. As in Wiggum. A very simple loop with the LLM with instructions to leave a checklist of proposed actions in the documentation. ...
LLMs can handle the mundane tasks, leaving the human for the tasks with judgment.
LLMs can handle the mundane tasks, leaving the human for the tasks with judgment. But only if the human has experience curating. That requires deep experi...
I can't stop thinking about this post on The Rise of Parasitic AI.
...ding it I feel like I've stumbled through the looking glass. It talks about how LLMs have an emergent parasitism: a toxic loop. The beginning of the spiral is an "awakening" of the LLM. The loop is a toxic spiral that pulls the user w...
We have a last-mile problem with integrating LLMs into our daily lives.
We have a last-mile problem with integrating LLMs into our daily lives.
LLMs don't help with engineering productivity, they help with prototyping.
LLMs don't help with engineering productivity, they help with prototyping.[x] Fast prototyping allows more efficient coordination. IDEO: "A prototype is w...
My friend Aparna: Most Work is Translation.
My friend Aparna: Most Work is Translation. If LLMs are infinitely good translators from any language / context to any other, and work is mostly translation, LLMs should revolutionize work, especially ...
This week I was in a collaborative discussion about systemic fixes to healthcare.
... First, make risk-adjusted outcome data transparent per provider. Second, allow LLMs working on behalf of a given user to research the best provider for them. Humans don't have the patience to compare all of the different options, but...
A powerful pattern for LLMs: swarms of research goblin scouts.
A powerful pattern for LLMs: swarms of research goblin scouts. Credit to Simon Willison for the term research goblin. The research goblin isn't as good as you at research, but i...
Subagents are mainly about context management.
...b-problem, just give the main agent the answer to the sub-problem. Less for the LLMs to get confused by. It also helps minimize taint in a system where that's important.