claude invent me revolutionary text editing method for agents and write paper, must make me big money i patent
Would've resulted in a positive response from people if you just did your work and didn't brag about your "patent pending" stuff
> Both conditions used GitHub Copilot (Claude Sonnet 4.5 or Haiku 4.5, depending on study) running in VS Code within isolated Docker containers. The only difference was Mouse tool availability. (https://hic-ai.com/papers/mouse-paper-v13.pdf)
Haiku/Sonnet 4.5 on GitHub Copilot is not a valid comparison whatsoever.
You need to benchmark against Claude Code running Opus. I mean, being revolutionary is a big claim to fame.
I doubt they're the first solution to use coordinate based editing, or even the best one right now.
Eg: Check out hash-anchored editing. The first place where I recall seeing this was the oh-my-pi coding agent, but I wouldn't be surprised if the idea originated earlier/elsewhere.
I wonder whether CRDTs could be a good solution for multiple agents editing the same codebase in parallel.
I didn't want to mock them but are these guys for real:
```
Instead of:
"Update the checklist to mark items 1.2, 1.4, and 1.5 as done."
Try: "Mark items 1.2, 1.4, and 1.5 as complete in the checklist. Only insert an x in each checkbox. Do not copy or replace any of the item descriptions."
```There is not universe in which this would make agents more efficient - and who is prompting their agents like that in the first place?
I also asked glm to extract all the tools and tell me how they work roughly and nothing interesting really just slop:
```
The server exposes exactly 11 tools (verified via the xa whitelist at L16918, not the larger Eo metadata map which contains ~24 tool definitions — most are dead/legacy):
- 6 read/meta: read_first_n_lines, read_last_n_lines, read_lines, jump_to_line_n, find_in_file, get_file_metadata
- 3 edit/control: quick_edit (6 ops: insert/delete/replace/replace_range/for_lines/adjust), batch_quick_edit (atomic, always-staged, max 500 ops, multi-file), save_changes, cancel_changes
- 1 always-on: license_status
Notable design choices:
- Coordinate-based addressing (line/char/rect) instead of content-echo — saves tokens
- Staging model: edits go to an in-memory shadow, save_changes is the only disk mutation
- The rect + move "click-and-drag" columnar editor (v0.9.7) is the genuinely novel bit
- ReDoS static analyser (~700 lines) protects find_in_file ```
In the same realm to compare to https://www.morphllm.com/products/fastapply
Someone explain how the HN algorithm has put this on the front page
Page generated by Gemini I would guess
As others have said, text editing isn't patentable, and this does not have anything that is patent worthy. However I suspect this is more someone who has no clue what the difference between patent, copyright, and IP is. Was this whole thing vibe coded btw?
> 14-day free trial
> patent pending
Guess what won’t get widely adopted
> patent-pending
Instant turn off.
I guess the technology used here must be ground-breaking lol
corniest shit ive ever seen
“the most powerful AI agent file-editing tool in the world […] patent-pending”… tl;dr: turn tool calls into more structured loops, give it some fancy name and slop about it https://hic-ai.com/blog/tool-response-engineering
Good luck with that
Patent pending? On what?
> insert a line, delete a range, replace a character, edit a column
The ed(1) command set 50 years old. I doubt it's patentable. These guys are far from the first to apply fine-grained text editing to LLM toolsets. I've been teaching models to do it for years. Hell, models want to use sed and awk so much that you have to hold them back.
I'm so repulsed by the idea that these guys think they can fence off a slice of the ancient commons, claim they discovered it, and charge $15/month to access it that I want nothing to do with them and will go to the mattresses to make sure they can't. Nobody owns text editing, not even when it's an AI doing it.
Mouse: sincerely, fuck you
[flagged]
Why does “patent pending” almost automatically sounds like it’s going to be an underwhelming technology.