11–20 of 42 posts
That is a good read, but as someone who tests in the first percentile for reading/listening, comprehension and retention, helps explain why many people who try to have discussions with me, shift there premise mid argument to fit there "evidence" and then cant remember where they started from, when reminded, and of course become agitated when challenged. Right now I am puzzling over how to deal with a part time employ…
That is a good read, but as someone who tests in the first percentile for reading/listening, comprehension and retention, helps explain why many people who try to have discussions with me, shift there premise mid argument to fit there "evidence" and then cant remember where they started from, when reminded, and of course become agitated when challenged. Right now I am puzzling over how to deal with a part time employ…
> to fit there "evidence"
> useing
> unoticed
> it's own right
I guess the connection between reading/listening, comprehension and retention ability on the one hand, and language generation ability on the other, isn't as strong as I'd been assuming till now.
That is a good read, but as someone who tests in the first percentile for reading/listening, comprehension and retention, helps explain why many people who try to have discussions with me, shift there premise mid argument to fit there "evidence" and then cant remember where they started from, when reminded, and of course become agitated when challenged. Right now I am puzzling over how to deal with a part time employ…
> shift there premise > to fit there "evidence" > useing > unoticed > it's own right I guess the connection between reading/listening, comprehension and retention ability on the one hand, and language generation ability on the other, isn't as strong as I'd been assuming till now.
Earlier quoted context omitted.
> shift there premise > to fit there "evidence" > useing > unoticed > it's own right I guess the connection between reading/listening, comprehension and retention ability on the one hand, and language generation ability on the other, isn't as strong as I'd been assuming till now.
Well, first percentile typically means the low end. Top 1 percent is 99th percentile.
https://news.ycombinator.com/item?id=48706307
Even if it were written by hand, it’s a very poor and frankly stupid essay about an interesting topic. “The model's attention is a fixed quantity, and it has to add up to one, so the more things you make it look at, the less of that attention any single earlier thing can keep.” This is borderline gibberish and it outright rejects the interesting question about LLMs and attention, namely that they have very different capacities from us. LLMs can read an entire OpenAPI schema in seconds and immediately construct valid requests from it. The article first points this out, and then switches to arguing that LLMs have similar limits to us. It’s completely incoherent.
What I've heard is human short-term memory can hold seven things at once. Fortunately the mind is much more.
This reads to me as fully written by LLMs. Pangram agrees. Note the (alleged) author misHQ’s comments on this thread are getting downvoted as obvious slop. https://news.ycombinator.com/item?id=48706307 Even if it were written by hand, it’s a very poor and frankly stupid essay about an interesting topic. “The model's attention is a fixed quantity, and it has to add up to one, so the more things you make it look at, th…
> But an unbounded queue isn't a safety margin, it's a debt that keeps compounding [1]
before getting a headache.
I wish the whole thing was written better, because the idea of designing a codebase for humans and our limitations sounds fascinating. It's why I personally love type systems, you can keep less things in your head and let the type checker alert you of any possible errors.
[1]: https://shapeofthesystem.com/posts/2026/05/10/the-queue-that...
I've learned that for both humans and models: system > willpower. The key is entirely in designing the environment. For me personally, that means setting up 'attention getters' for the important things in life - 'totems' that force a context switch. For AI agents, it means well-designed CLI tools that help the agent orient itself in a task and pull exactly the 'context-for-the-job' it needs right then. This is exactl…
This is exactly what I am trying to solve and I have what I call smart repositories that demonstrates this at
https://github.com/gitsense/smart-ripgrep
https://github.com/gitsense/smart-codex
The issue I am finding is, getting the agent to pull what it needs, even when the data is there is still challenging since LLMs are trained on blind discovery where the pattern is:
grep -> read -> grep -> read ...
What is working for me now is thanks to Pi (pi.dev). I am working on a pi-brains extension that makes it dead simple to control the lifecycle for an agent so if I detect that it uses `rg` without `gsc rg`, I can block the agent and inject a steering message that says always search with context.
I can also see if they try to "read" without first looking at the files metadata and so forth.
I'm finalizing things right now, but I think pi with my brains extension should allow domain experts to better guide agents so they can find what they need, when they need it.