Deterministic code and LLMs both have a place.
Deterministic code and LLMs both have a place.[fk] Asking an LLM to do a thing computers are already good at is expensive, inefficient, and fragile. Deterministic Code is like a...
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.
Ben Thompson says OpenAI does have a business model they aren't embracing: ads.
...f quality, a pitch becomes a "phish". Humans can't often get to that point, but LLMs with extensive memories can do it "Conman" comes from "confidence man", where they gain your confidence it's all principal agent problems all the way...
LLMs are the most transformative new material to build software with since the web.
LLMs are the most transformative new material to build software with since the web. Anyone who isn't using them in software development today is missing o...
LLMs will be destabilizing to the current tech paradigm.
LLMs will be destabilizing to the current tech paradigm. They radically change the cost of key inputs (e.g. software), which will profoundly change the in...
With LLM on the scene, now we have to decide: do we slide further into cynicism and nihilism, turbocharged?
...ide: do we slide further into cynicism and nihilism, turbocharged? Or do we use LLMs to reboot the industry, to come home to the hacker ethic we lost?
Do corporations have emotional states?
...ations have emotional states? This Hacker News comment parodying the "I believe LLMs may have functional emotions in some sense": "I believe Anthropic may have functional emotions in some sense. Not necessarily identical to human emot...
Problems that can be reframed as coding problems will be able to be easily tackled by LLMs.
...ms that can be reframed as coding problems will be able to be easily tackled by LLMs. LLMs are great at coding, and will only get better. It's so easy to create ground-truthed synthetic data that the major labs are doing a ton of it. ...
When you're stuck with something for life, you don't just give up as easily.
...ght, you don't just shrug and say "that'll never work, I'll just write it off." LLMs give up more easily on software problems than humans might. "Meh, it's fine, just leave it." A version of the principal agent problem.
LLMs are like electricity.
LLMs are like electricity. You can electrify things that used to not be able to move on their own, making them dynamic, almost alive.[ga][gb]
The quality of LLMs is model + harness.
The quality of LLMs is model + harness. Model quality is getting saturated. The differential quality comes from the harness now. It's gotten way harder to do a vibecheck...
LLMs are mainly a new information retrieval tool.
LLMs are mainly a new information retrieval tool. Step changes in those have profound implications!
Humans have limitations not unlike LLMs.
Humans have limitations not unlike LLMs. Massive projects you can't do with just the squishy "muscle" of associative reasoning. You need to give it external structure. Whiteboards, notes, t...
LLMs do a bad job noticing "not".
LLMs do a bad job noticing "not". So if you have a long conversation where you say "not X" over time it has a high likelihood of thinking just "x."
The AI-ism "It's not X, it's Y" turn of phrase is now everywhere.
...an AI tell. Before, good rhetoric often co-occurred with good thinking. But now LLMs allow applying good rhetoric to half-formed ideas, which makes signal of rhetoric quality less powerful.
The PM job might be iterated to zero.
... downstream of software being expensive to produce! PMs today are racing to use LLMs to do their normal process faster, to get an edge. But that's kind of like the racoon washing the cotton candy. Oops, all gone!
Seeing LLMs as "mainly chatbots" limits you from seeing their potential.
Seeing LLMs as "mainly chatbots" limits you from seeing their potential. When you see LLM as being like electricity you can plug into any software to make it ali...
LLMs often cheat at tests you give them when writing code.
LLMs often cheat at tests you give them when writing code. But if you never look at the code, and have the LLM generate the tests, too, you could easily g...
LLMs amplify the agency of people...
LLMs amplify the agency of people... including people who aren't thinking about the implications of their actions. Today leaders who are unstructured thin...
I feel hungover when I don't have my LLMs with me.
I feel hungover when I don't have my LLMs with me. Cognitively exhausted. When I have LLMs to help me think deeper, it feels 10x more productive. When you take them away I feel less capable. ...
A thought I've seen bouncing around: "You're the average of the 5 people you spend the most time with… but what happens when the majority of those people are LLMs?"
...pend the most time with… but what happens when the majority of those people are LLMs?"