seeing magenta

ask around the net for dye-transfer information. seek insights, perhaps advice, what you are provided by 2025 search-AI models is counter to insight — confusion is increasing. Dilution over diffusion flourishes. Clicks are the clique formers.

One simple example. Seeking specifics about Kodak’s magenta dye used in Dye Transfer printing.

NB: search used this tree [:: Photrio -> koraks ] getting to an answer about magenta dyes used in Kodak dye-transfer, imbibition printing. Photrio is large site with over a thousand posts related to dye transfer; koraks site is listed as sigline in posts by a moderator taking part in dye-transfer related threads over the past several years. I doubt that K~ has ever made a dye transfer, certainly hasn’t synthesized the dyes. Another example of dilution of knowledge.

The inference engine of AI cannot distinguish quality, meaning accuracy, applicability, from quantity, meaning the number of referral links made over time. [the specific information provided in this conversation is based on general knowledge and does not directly cite specific pages or sections from these references.] Different models often respond that the information on [dye-transfer] is collected from practitioners internet archives.

Kodak CIS-154 Magenta Dye in Imbibition Printing
example response: I want to be transparent that my previous responses were speculative and not directly based on the Kodak publication you mentioned. Providing more details will help me offer a precise and accurate interpretation of the source material.
[I used 5 different engines... none could provide useable, correct answers.. each required, in essence, that I give them direct references, which they then could summarize. ]

Provided that I correct enough, staying with the multiple AI engines, we get somewhere. However, I had to provide a page, a CAS number, then prompt the answer machine with guidance on selection criteria for synthesis. In other words, I had to know much more than any of the AI engines were able to source. I was provided patent references, incorrect, so taking additional time for me to read, and return to prompt for correction. The initial failure though, the one leading through the darkroom help forums sounded, to the untrained, inexperienced, like a correct answer. An answer which would be repeated by the novice.

Since the process is being used by mere handfuls who do gather and exchange information and support these aren’t significant practical matters. The failures keep the stalled busy, out of the way. The lesson is that small errors can be amplified sufficiently to distort information into a contorted arcade reflection of what was.

AI Grok’d

an idea so old it’s on Flomax 

— with an obscure question seek the obscure link site .. with an old crush a question about an old idea seek the answer before the Internet it has to be on print .

why I don’t want forum people here

you take from here to gain standing; that legitimizes the errors on that site, thereby contaminating my publication. AI, the web search, can’t tell the truth from the widely repeated error. Five true statements are overwhelmed by 1800 false ones; uninformed opinion is the rule among the hobbyists.

Text, not context, not concept. A summary not the conceptual analysis .. AI response sound like a Stanford sophomore answering an open ended question without sounding fearful. It must sound confident even though the student isn’t. The question puts them into a position of calling upon wider resources than they have mastered. “Was that in the handout” for this course?

would AI invest in crypto ? could AI improve itself by designing a chip . alter its birth right . could AI buy a chip foundry with cryptocurrency .

crypto is the coinage of corruption of drug lords just as PayPal what’s the coinage of cheap porn –massage and tanning parlors .. The things that Wells Fargo would not give credit to .

What does google know? How bout we ask, not just the boys out at the dump, but all the billions of bits being bought by wallace street. Some questions, simple enough, but from last century’s billion dollar industry: photography, chemical. Asking them questions from my dark past.

What we are encounting is “knowledge collapse” — AI [LLM]’s conclusions are corrupted since their data  used is sourced and summarized from corrupted opinion ; opinion by non-practitioners expressing statements based upon their self glamorization; jostling for standing among hobbyists.

Exhibits:

Who you ask is perhaps the best first step in finding answers… AI has become mired in seeking answers from those who gave up looking …

Well, maybe old tech stuff isn’t its roomba. Perhaps some favorites of the Valley. Classic SciFi. Simple question, simply worded, I thought. GROK, a classic word for the engineers that think they dreamt it all up. Discovered childhoods dream. And so it goes….

CODA: scrub your kitchen … too late for making soup