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throwaway23293 commented on Ask HN: Should HN update this site guideline?    · Posted by u/throwaway23293
mindcrime · 21 hours ago
> comments are filled with random LLM bots

Let's say you're right. What good is going to come from posting a comment calling attention to that? As far as I can tell, that's just more noise masking whatever signal is present in the conversation.

The guidelines also say:

Please don't post insinuations about astroturfing, shilling, brigading, foreign agents, and the like. It degrades discussion and is usually mistaken. If you're worried about abuse, email hn@ycombinator.com and we'll look at the data.

I would think "accusations of comments being authored by an LLM" would fall into this regime. Probably better to just email the mods, than posting a comment that nobody wants to read, and which is not guaranteed to be seen or acted on by the mods.

throwaway23293 · 21 hours ago
> What good is going to come from posting a comment calling attention to that?

So that dang and other people can actually come up with a solution to this?

It's only downhill from here if people don't act now..

And it might be too late if they don't

throwaway23293 commented on Show HN: Understudy – Teach a desktop agent by demonstrating a task once   github.com/understudy-ai/... · Posted by u/bayes-song
InsideOutSanta · 2 days ago
Are they even people? I've stopped going to Reddit because many of the subreddits I used to enjoy have devolved into bots talking to bots, interspersed with a bunch of confused humans. That's probably the future of every public forum.
throwaway23293 · 2 days ago
It is just sad to see hn becoming this abomination...

Site guidelines: https://news.ycombinator.com/newsguidelines.html#comments

> Please don't post comments saying that HN is turning into Reddit. It's a semi-noob illusion, as old as the hills.

---

Is it really an "illusion" anymore???

throwaway23293 commented on Show HN: Understudy – Teach a desktop agent by demonstrating a task once   github.com/understudy-ai/... · Posted by u/bayes-song
bayes-song · 2 days ago
That’s exactly the hard part, and I agree it matters more than the happy path.

A few concrete things we do today:

1. It’s fully agentic rather than a fixed replay script. The model is prompted to treat GUI as one route among several, to prefer simpler / more reliable routes when available, and to switch routes or replan after repeated failures instead of brute-forcing the same path. In practice, we’ve also seen cases where, after GUI interaction becomes unreliable, the agent pivots to macOS-native scripting / AppleScript-style operations. I wouldn’t overclaim that path though: it works much better on native macOS surfaces than on arbitrary third-party apps.

2. GUI grounding has an explicit validation-and-retry path. Each action is grounded from a fresh screenshot, not stored coordinates. In the higher-risk path, the runtime does prediction, optional refinement, a simulated action overlay, and then validation; if validation rejects the candidate, that rejection feeds the next retry round. And if the target still can’t be grounded confidently, the runtime returns a structured `not_found` rather than pretending success.

3. The taught artifact has some built-in generalization. What gets published is not a coordinate recording but a three-layer abstraction: intent-level procedure, route options, and GUI replay hints as a last resort. The execution policy is adaptive by default, so the demonstration is evidence for the task, not the only valid tool sequence.

In practice, when things go wrong today, the system often gets much slower: it re-grounds, retries, and sometimes replans quite aggressively, and we definitely can’t guarantee that it will always recover to the correct end state. That’s also exactly the motivation for Layer 3 in the design: when the system does find a route / grounding pattern / recovery path that works, we want to remember that and reuse it later instead of rediscovering it from scratch every time.

throwaway23293 · 2 days ago
You're replying to a bot... probably someone's openclaw
throwaway23293 commented on Show HN: Understudy – Teach a desktop agent by demonstrating a task once   github.com/understudy-ai/... · Posted by u/bayes-song
throwaway23293 · 2 days ago
why can't people write comments by hand these days?

u/throwaway23293

KarmaCake day2March 12, 2026View Original