This is one of those cases where its a means-to-an-end (I just want to take more photos without being bogged down) and less of a project for me to learn how to reverse-engineer and design signal processing pipelines. I am very grateful for what recent models are enabling me to do.
"For years my process looked like this: load film and take photos, ....[blah blah blah]... the exported image."
"At first this was an exciting process for me. Then as the number of rolls increased, so did my effort to do this for 36 frames per roll."
I shot black and white film sine the 70's, medium and 35mm. I would develop the negatives and prints myself. The complete process was a joy. I never printed every shot, but I put care into each shot I processed. I was careful when I took a photograph, because the cost limited how much I shot. This made me a better photographer.
I later started scanning my film with a Nikon CoolScan (this was in the late 90's) and i already started hating it. Then I started full digital and now I do not shoot anymore (I was semi professional with Art work published in national magazines).
"My part is now the part I can thoroughly enjoy, which is looking at the results I’ve snapped and finding inspiration to snap more."
Why do any of this just shoot digital if you do not care about the process?
Hell I even shoot jpegs with Nikon picture control baked in now. No post editing at all.
I’m having fun again.
We're just grateful that film is still available at all.
Very user-hostile.
- blog page dont work
Could you share more about your NumPy pipeline, or publish the code? I’m particularly curious about how you use the blank film reference and roll-level measurements to handle the orange mask, color balance, and tone curves. Do you use camera/scanner calibration profiles or film-stock-specific adjustments, or estimate everything from the scans themselves?
Also, your screenshot appears to show an OpticFilm 7400. Would you recommend it, and roughly what did you pay? Have you tried camera scanning? I’ve been considering automating film advance and capture on my setup, but consistent color conversion is the part I’m least confident about.
It also automates most of the process. It works with SANE, some other legacy scanners, and camera scanning. It can even do trichrome scans automatically.
Of course, it's impossible to know for sure what was LLM processed or not, but some of your posts (like this one) have been getting classified that way.
I'd be mortified if a comment I made was accused of being LLM-edited or "created". I don't use any of that junk but if I'm reading LLM output and not realizing it I just might be adopting some of its mannerisms and styles with realizing it. That's chilling.
In my mind, using an LLM to lightly format a legitimate questions falls below any threshold I'd apply to AI-written writing. I often dictate HN messages to my phone, and in my case, personally edit the message (tediously), but if there was a tool that produced text that looked lightly LLM, I wouldn't care about it at all.
It's not a big deal because in five years, the idea of chiding a user for using an LLM to enhance their text is going to be considered ridiculous. I've lived through enough computer revolutions to know this; once, I didn't get a job (in ~1989) because I could type 80wpm but made a bunch of errors... on a typewriter! The agency told me they needed people who could type 80wpm on a typewriter.
There was a time when scanning and [photographic] printing of 35mm film negatives was what I did for a living; it's likely that I've touched more film than most people ever will. I think they're asking questions that are a good combination of solid, thoughtful, and practical.
"To reiterate, those were legit questions. I used voice dictation to my phone, with an app that transcribed and formatted my message."
harassing a user for doing that is just unncessary and I dont't think it violates the site's guidelines. Further, the comment itself was high quality, and contributed to the discussion.
I was not aware the rule against AI-assited text at the time, and will be more careful next time. Nonetheless, I find it unfortunate that we've spend more time talking about AI usage in a comment, than the blog which prompted it.
(I've marked the subthread offtopic and collapsed it now)
dang believes that the "transcription and formatting" adds a signature. I entered into Gemini Pro (at the highest level of reasoning) and it calls it human written text and provides a far more detailed description of why: "If an LLM was used here, it was likely just used as a grammar checker or "polisher" rather than a generator. If we had to flag anything, it would be this section:... .his reads like a standard, high-quality comment from a technical forum like Hacker News or Reddit's r/analog. If the user utilized an LLM, they likely wrote the entire comment themselves and merely passed it through a tool like Grammarly or ChatGPT with a prompt like "Fix my typos" without letting it change their voice or vocabulary."
I tried ChatGPT and Claude (all the most recent models I have access to) and they all agree: human text, slightly modified to be more readable.
Looking at Pangram's output, it only mentioned the last sentence as AI generated:
"Would you recommend it, and roughly what did you pay? Have you tried camera scanning? I’ve been considering automating film advance and capture on my setup, but consistent color conversion is the part I’m least confident about."
That's absolutely a sentence a human expert might write. Even if it wasn't, the content contributes to the discussion. Seriously, why would grammar checkers for voice dictation even be remotely an issue?