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Category Archives: Uncategorized
Time to Write Some Proposals Content
See you next week…I mean next month.
My Recent Musical YouTube Shorts…And A Long
You’ve probably gathered that I don’t just post here on the Bredemarket blog.
These are some recent musical shorts—some with Canva-provided music, others with Google Lyria-generated music—that I have posted to YouTube since April.
Product marketer for hire
You’re doing it wrong(TM)
Purchase the Bredemarket ebook
It’s all about the benefits
The precision trap
A heart of bone
Dry to the bone #1
Dry to the bone #2
Tracing the ridge
Sold my name down to Texas
Lost recognition
And a “long”: Technology man (Product marketer for hire)
Technology Man
I created this (again with Canva, Google Gemini, and Google Lyria) for self-promotion.
Lost Recognition
“Lost Recognition” illustrates that facial recognition isn’t always available.
Technologically, this video was assembled in Canva using images from Google Gemini and audio (without the video) from Google Lyria.
But who cares?
I don’t create videos for Bredemarket clients, but I do provide words that address prospect needs…such as the requirement to let a person access a building on a dark night.
Talk to me about the words I can create for you.
And if you’re interested in using the “Lost Recognition” audio, here it is. Because it’s AI-generated, I can’t copyright it.
Heat on the Hardtop
Here’s my new Google Lyria tire intelligence (TI) song, based upon my earlier post “How to Educate Yourself About TI: The Nexus.”
I was unable to create a three-minute version, so I reverted back to the 30-second length.
Compare to the TI song that I shared earlier.
Today’s Acronyms Are NIST, FRIF, TE, E1N, and ROC
ROC (previously known as Rank One Computing) posted this about its latest resukts in the NIST Friction Ridge Image and Features Technology Evaluation Exemplar One-to-Many (FRIF TE E1N) evaluation.
“ROC’s performance in the NIST FRIF TE E1N evaluation, including #1 global ranking in Class B slap fingerprints, a critical capture format for high-scale civil and government identity programs, proves that American technology can now lead at the highest levels of global biometric performance….
“The NIST Friction Ridge Image and Features Technology Evaluation Exemplar One-to-Many evaluation, known as NIST FRIF TE E1N, evaluates one-to-many fingerprint identification at massive scale, testing how accurately algorithms can identify a subject from large enrollment repositories. Across the evaluation, ROC delivered top-tier performance in every category tested, including Class A, Class B, and Class C. “
As with every NIST biometric test, FRIF yields a massive amount of data. Just looking at the Class B slap data alone, here is what you can find, showing the top 7 entries out of 12 for the Class B Left Slap FNIR (another acronym: false negativce identification rate) at rank less than or equal to 10. Even this view excludes all other slap data and all other ranking data (1, 2, and 5).
(Data captured Friday, May 29, 2026 and may become outdated when new algorithms are tested.)
With this massive wealth of data, just about every vendor probably performed well in something, which is why ROC took the time to point out why Class B slap results are important.
“ROC’s most significant milestone came in Class B slap fingerprints. This performance is especially important for high-scale ABIS environments, including national ID programs, border management, civil enrollment, and high-stakes criminal justice workflows, where handling immense scale without sacrificing accuracy is mandatory.”
Although ROC may be the only entity trumpeting May results, other vendors have promotede earlier NIST FRIF TE E1N achievements, including IDEMIA, Identy.IO, Innovatrics, and Neurotechnology.
But they’re foreign. (As is Thales Group, for those keeping score.)
Sold My Name Down To Texas
A Google Lyria song about privacy. Even though modern privacy laws did not exist in 1930s Dust Bowl Oklahoma.
Even Jedis Can Face Ephemeral Challenges
From a recent Identity Jedi post.
“NHI visibility and AI agent visibility feel like the same problem. They’re not. A service account is relatively static. It was created for a purpose, it has credentials, it authenticates to something. You can find it, document it, rotate its credentials, put it in a vault. That’s a solvable problem with existing tooling.
“An AI agent is different in almost every dimension that matters. It’s dynamic. It’s often ephemeral. It doesn’t have a fixed identity. It borrows one, or several. It makes decisions at runtime about what it needs to access. And it operates at machine speed, which means by the time your SIEM fires an alert, the transaction is already done.”
I Had to Ask Why AI-generated Facebook Posts Are So Long
After encountering yet another Facebook post that seemed to go on forever, I asked Google Gemini the “why” question.
But note the last sentence of my prompt.
Why do people who use AI authored text for Facebook posts choose text that is twice as long as it needs to be? Answer succinctly.
Google Gemini’s succinct reply
People generally use overly long AI-generated text for Facebook posts for a few key reasons:
- The “Default” Bias: Most AI models are trained to be thorough and helpful, so their default output leans verbose. Users often just copy and paste the first result without editing it down.
- Perceived Value: There is a psychological bias where users feel a longer, more detailed post looks higher-effort, more authoritative, or more “professional,” even if it’s repetitive.
- Keyword Stuffing: Users sometimes ask the AI to include specific hashtags, emojis, and keywords for algorithmic reach, which naturally inflates the word count.
- Lack of Curation: Many people using AI for casual social media don’t want to spend time editing, defeating the purpose of using a “shortcut” tool in the first place.
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