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I've been getting this weekly from colleagues. It's very much an epidemic right now! And the port number is indeed almost always a random number between 8000 and 8100.
> I've been getting this weekly from colleagues. It's very much an epidemic right now! And the port number is indeed almost always a random number between 8000 and 8100. Really? A bit hard to believe, unless you have many dumb colleagues.
It’s not at all surprising. Not everyone is a developer.
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I made a B2C AI app that's fully local (and free) to do AI based contextual file renaming. So if you give it a bunch of screenshots it will try and intelligently name them based upon what is in the screenshot. Same for videos, PDFs, etc. But to your point I haven't even tried charging money as it feels like something Apple is just going to bake in as a feature. https://finalfinalreallyfinaluntitleddocumentv3.com/
This is cool. And yeah love the name! Are you planning to open source it? Or maintain it in the future?
I'd sort of designed it for my own needs first and hadn't thought too far beyond that.
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I had exactly the same impression, and I recall seeing this style other times recently. First time I thought it was just bad writing skills, now I'm thinking it's AI generated.
I'm the author, yes it is AI-assisted. You can make AI-generated content without it being slop. Slop, to me at least, is content that's wrong, padded, or generic. I see the cadence / short-sentence issues but if there's something else beyond those, I'd actually want to know what made it feel bad. I would've put off documenting what I did over the weekend but instead, I did document everything, spent quite some time (…
I did not even initially think upon seeing this style for the first time that it was AI-written, because I would associate AI-written text as fluffy. This staccato instead looks like the model was told to be terse and informal. I think the informality doesn't help either -- it's not that you can't have a well-written colloquial text, but I think it's harder to pull off.
Here is an example:
> Gemma returned people_count: "many" instead of an integer. My vision prompt literally said integer or the string "many" if >10. Gemma followed instructions correctly; the bug was schema design. The fix was a stricter prompt (integer 0-99 with explicit guidance to estimate) plus a coercion in the parser for the legacy "many" responses. Don't union-type schema fields. Pick always-int or always-string, never "int or this one specific string," because every downstream consumer pays for the choice.
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Ok I scrambled to finalize a name for it and create a new repo for it - https://github.com/Simbastack-hq/framedex PS - I just put this together in the last few mins, removed my personal files and references. So it's not tested properly, please let me know if any issues. It's still an early hack, but I have thousands of still images as well from my camera which I've not processed and I need to do the same analysis for…
Hey friend, try something in this ballpark, your post has a bunch of painful AI tropes: https://github.com/blader/humanizer You get a pass here because you're doing really cool stuff but it's kinda tough to read past the AI nonsense, and it's relatively easy to screen out "it's not x it's y" kind of things and the bolded bullet points.
So do they run the lodge or what?
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Cheers, I'll give it a try. How are those models at returning structured results? When I was writing the prompts for the analysis step and testing with older Claude models, it would have trouble structuring the XML consistently. Sonnet 4.6 handles it really well.
Use function calling/tool use, not XML output. The models are all trained for that now. Ie, instead of telling it to generate Name 19 whatever give it a function details(name: string, age: int, address: string) That is actually a JSON schema, and the models do great at it. Here's the claude docs, but they are all similar: https://platform.claude.com/docs/en/agents-and-tools/tool-us...