artificial intelligence – Page 12

The Truth About Re-Employment

Another post that probably won’t go on the socials, but that explains one of the key “whys” about Bredemarket.

If you haven’t noticed, there are a large number of people who lost full-time employment and years later have not regained it.

Some are getting by with part-time work or consulting. Others are draining their savings. Others are homeless.

The toxic positivists are fond of saying that you are one yes away, and that your job will come.

But what if it doesn’t come?

And for some it doesn’t.

Google Gemini summarized the findings at “Labor Force Characteristics (CPS) : U.S. Bureau of Labor Statistics”: https://www.bls.gov/cps/lfcharacteristics.htm

“A Bureau of Labor Statistics survey in January 2024 found that 65.7% of long-tenured workers (those with at least 3 years on the job) displaced between 2021 and 2023 had been re-employed.

“Re-employment rates vary by age. In January 2024, the rate was 74.5% for those aged 25-54, but significantly lower for older workers (55-64: 55.3%; 65 and over: 34.4%).”

In short, if you’re over 55 and lose your job, there’s a good chance that you’re not getting another one.

Having only enjoyed full-time employment for one year out of the last five, I realize that I may never work again, even though I am years away from retirement age.

Bredemarket started during my first bout of unemployment between 2020 and 2022, when I pursued a two-pronged approach of consulting and searching for full-time employment.

In 2023 I found myself pursuing the two-pronged approach again.

As I say, we’ll see what happens.

Identity Management Platform Frontegg.ai

From HelpNet Security:

“Frontegg launched Frontegg.ai, an identity management platform purpose-built for developers building AI agents….

“[D]evelopers are running into a major roadblock: a lack of identity standards tailored specifically for AI agents. Existing infrastructure was not designed with autonomous agents in mind. When building an AI agent, developers are forced to waste valuable time stitching together ad-hoc authentication flows, security frameworks, and integration mechanisms….

“In an AI‑first world, identity can’t be retrofitted from traditional web and mobile stacks. It needs to be purpose-built for AI agents. Frontegg.ai provides that layer for agent builders…”

(Imagen 3)

Forgot About Faulds

Nowadays, everybody wanna say that they got big TED talks

But nothin’ comes out when they press their fingers

Just a bunch of gibberish

And CSIs act like they forgot about Faulds

And my N. P. E. Bredemarket Instagram metabot forgot too.

But at least he didn’t cite Gabe Guo.

And I don’t have a rap career.

Forgot About Faulds.

N. P. E. Bredemarket is Live on Instagram

Now that it’s showing up in search, I will announce what I’ve done. Although I shouldn’t have done it.

I created my own Meta AI character on Instagram.

I was nosing around in my Instagram settings and discovered I could create an AI bot. So I did. You may or may not be able to create your own: see https://help.instagram.com/1675196359893731 for instructions.

“His” name is N. P. E. Bredemarket. Regular Bredemarket blog readers know that NPE stands for non-person entity.

You can find N. P. E. here: https://aistudio.instagram.com/ai/1252267426260667/

Or you can search for it.

Warning: like all AI, he can hallucinate.

Pay No Attention to That Man Behind the Curtain

H/T Donal Greene for this story of non-person entities that were really people.

“The nate app purported to take care of the remainder of the checkout process through AI: selecting the appropriate size, entering billing and shipping information, and confirming the purchase….In truth, nate relied heavily on teams of human workers—primarily located overseas—to manually process transactions in secret, mimicking what users believed was being done by automation.”

From https://www.justice.gov/usao-sdny/pr/tech-ceo-charged-artificial-intelligence-investment-fraud-scheme

Now the DOJ is indicting Albert Saniger for defrauding investors: https://www.justice.gov/usao-sdny/pr/tech-ceo-charged-artificial-intelligence-investment-fraud-scheme

(Picture from Imagen 3)

Are Your Competitors Stealing From You? The Ultimate Guide to Increasing Prospect Awareness

Technology marketers, do your prospects know who you are?

If they don’t, then your competitors are taking your rightful revenue.

Don’t let your competitors steal your money.

Before I tell you how Bredemarket can solve your technology company’s awareness problem, let me spill the secret of why I’m asking the question in the first place.

The wildebeest’s friend

Normally I don’t let non-person entities write Bredemarket content, but today I’m making an exception.

My usual generative AI tool is Google Gemini, so I sent this prompt:

“What are the five most important types of marketing content to create for a technology software company?”

A little secret: if you want generative AI to supply you with 3 things, ask for more than that. Some of the responses will suck, but maybe the related ones are insightful.

In this case I only wanted ONE type of marketing content, but I reserve the right to “co-author” four more posts based upon the other responses.

Of the 5 responses from Google Gemini, this was the first:

“In-depth Problem-Solving Content (Think Blog Posts, White Papers, Ebooks): Your potential customers are likely facing specific challenges. Content that dives deep into those problems and offers insightful solutions (even if it doesn’t directly pitch your product) builds trust and positions you as a thought leader. Think “The Ultimate Guide to [Industry Challenge]” or a white paper on “Navigating [Complex Technical Issue].””

Now you see where I got the idea for the title of this post. Normally I shy away from bombastic words like “ultimate,” but this sage is going a little wild.

So the bot tells me that the most important type of marketing content for a technology software company is short-form or long-form problem-solving content.

Going meta

Let’s get a little meta (small m) here.

If your prospects don’t know who you are, create customer-focused content that explains how your company can solve their problems.

Now let’s get meta meta.

If you need help creating this content, whether it’s blog posts, articles, white papers, case studies, proposals, or something else, Bredemarket can help you solve your problem.

Let’s talk about your problem and how we can work together to solve it. Book a free meeting via the https://bredemarket.com/cpa/ URL.

(All AI illustrations from Imagen 3 via Google Gemini, of course)

NPEs and Emotions

When I introduced emotions as the seventh question in Bredemarket’s seven questions, I was thinking about how a piece of content could invoke a variety of emotions in a human reader.

Oh, John, your thinking is so limited.

In a piece in Freethink, Kevin Kelly discussed emotions…in non-person entities (NPEs).

“Like anything else, I think in some cases robots with emotions will be really good. It’s good in the sense that emotions are one of the best human interfaces. If you want to interface with us humans, we respond to emotions, and so having an emotional component in robots is a very smart, powerful way to help us work with them.”

More here.

Not Practicing What You Preach

I have no words.

DoorDash Gone Wild

One semi-trendy AI application is to use robots to deliver physical items from businesses to consumers…where the robot figures out the delivery route.

According to Dennis Robbins, this is happening in Arizona.

After looking at the regulations, or lack thereof, governing delivery robots in the Phoenix area, Robbins goes into investigative mode.

“After a nice breakfast at IHOP, I found myself facing off with the DoorDash Polar Labs delivery bot.”

If you are not from the U.S., the acronym IHOP stands for International House of Pancakes. (Except for that time when the marketers went crazy.) Not that they’re international, but I digress.

So the delivery bot set out to deliver packages to a hungry customer.

“Anyway … I followed my little friend after it picked up an order from IHOP. Enjoy our strange little jaunt.”

I won’t give it away, other than to comment that AI is like a drug-using teenager who only half listens to you. (I’ve said this before, stealing the idea from Steve Craig and Maxine Most.)

Read the full story here at The Righteous Cause, including commentary.

From Grok.

A Legal Leg to Stand On: The New Triad of AI Governance

In business, it is best to use a three-legged stool.

A two-legged stool obviously tips over, and you fall to the ground.
A four-legged stool is too robust for these cost-conscious days, where the jettisoning of employees is policy at both the private and public level.

But a three-legged stool is just right, as project managers already know when they strive to balance time, cost, and quality.

Perhaps the three-legged stool was in the back of Yunique Demann’s mind when she wrote a piece for the Information Systems Audit and Control Association (ISACA) entitled “The New Triad of AI Governance: Privacy, Cybersecurity, and Legal.” If you only rely on privacy and cybersecurity, you will fall to the ground like someone precariously balanced on a two-legged stool.

“As AI regulations evolve globally, legal expertise has become a strategic necessity in AI governance. The role of legal professionals now extends beyond compliance into one that is involved in shaping AI strategy and legally addressing ethical considerations…”