A new LLM attack: the CopyPasta License Attack.
...ack. Takes advantage of the fact humans don't actually read license blocks, but LLMs do. Infinite patience strikes again.
Topic: llms
1,598 mentions · 615 chunks · 117 episodes
169.8× 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.
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 615 chunks across 117 episodes, from 2023-11-06 to 2026-04-20.
- Its densest episode is Bits and Bobs 2/2/26 (2026-02-02), with 15 observations on this topic.
- Semantically it travels with ChatGPT, Claude, and prompt injection attack, while by chunk count it sits between Claude; its yearly rank moved from #3 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.
This week I watched a very effective writer's output be critiqued as "sounding like AI."
...uality, convincing arguments[ak] used to require a significant skill to do. Now LLMs make it so anyone can spin them up at a moment's notice. That cheapens even truly well written and effective argumentation. Will we have to evolve a ...
With LLMs, the benefits seem to have shifted decisively to typed languages.
With LLMs, the benefits seem to have shifted decisively to typed languages. Typed languages are much easier to iterate within without breaking things. The prob...
A tweet: "oh lord, how did i not think of this before?
...ating strings of source code. AST is hard for humans to understand, but not for LLMs! LLMs have the patience to deal with complicated types. Even if they don't understand it at first, they are willing to try again and again and again ...
We spent decades making injection attacks invisible to developers.
...ze queries. Follow standard practices and you don't have to think about it. Now LLMs make all text executable. Frameworks don't help. Everything is code. XSS has a solution: we can parse HTML/JS with 100% accuracy and sanitize it. Eve...
This week's wild west roundup, this time using LLMs incidentally in attack chains:
This week's wild west roundup, this time using LLMs incidentally in attack chains: Nx compromised: malware uses Claude code CLI to explore the filesystem zack_overflow: "A popular NPM package got compr...
LLM's infinite patience can be used for research that would be too tedious to bother doing before.
... one I was thinking of. I imagine we'll see much more web traffic in the age of LLMs. A single user intent can spawn orders of magnitude more searches and fetches on their behalf. More traffic to websites, without more intent, seems l...
Are LLMs mass media or not?
Are LLMs mass media or not? On the one hand there's a single shared model that has specific biases that shape all interactions with them. Some of them are rea...
A lot of absurd solutions hide behind an implicit "once the LLM is perfectly good".
...o multiplied by infinity is infinity. "Prompt injection won't be a problem once LLMs get perfectly good at not being tricked" is absurd. Prompt injection comes from a coevolving adversary, not a static distribution of quality. That me...
Last week I mentioned that Claude Code inserts <system-reminder> a lot.
...ed on the current task. I wonder what other innovations will come form treating LLMs as not append-only ping-pong chat.
I think the world is ready for the dishwasher and microwave oven of LLMs.
I think the world is ready for the dishwasher and microwave oven of LLMs. Today we have the faux humanoid robot that talks and acts like a (weird) human). Chat is a new UI to put on top of all those tools but not be the an...
The fact that LLMs still require humans in the loop to get good recurrent results undermines the "AGI is imminent" perspective.
The fact that LLMs still require humans in the loop to get good recurrent results undermines the "AGI is imminent" perspective. Even if the LLM is right 95% of the time...
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.
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.
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.
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.