Reverse AI Fibonacci: The Spiral of Stupid
July 21, 2026
Another dinobaby post. No AI unless it is an image. This dinobaby is not Grandma Moses, just Grandpa Arnold.
I read an interesting article in the online publication Tech Radar. Its title? “‘Quality Decays Exponentially Following AI Arrival’: Research Shows Experts and Contributors Leaving Online Communities Amidst Silent Knowledge Reset.” I am not going to illustrate my view point with one of those MBA hockey stick diagrams. Nope, I am going with the Fibonacci sequence or what I call the Spiral of Stupid. First, though, let’s look at what the write up says.
Here we have a professor explaining the Fibonacci inversion; that is, start with a large value IQ and decrement according the the algorithm. The result is that the person relying on social media ends up an intellectual zero. Hey, don’t like my blunt statement? Just go to a local store and pay in cash. Watch the expression on the face of the young person at the smart cash register. Better yet, ask a college student what Fibonacci is. Thanks, MidJourney. I like the teacher’s shirt. Very TikTok.
I noted this passage:
AI, which arguably bridges the gap between most entry-level and mid-range coders and some of the best in the business, might actually be accelerating the latter’s exit from online communities, as they feel their efforts are no longer as valued as they once were. Stack Overflow has seen a nearly 76% decline in monthly questions posted since ChatGPT’s advent in 2022, indicating that both new and existing users are abandoning the site.
One lousy online community, and the sky is falling. The article doesn’t share my larger concern about the impact of AI on education, authentic discourse, and respect for intellectual property’s knowledge value.
The write up adds:
… researchers indicate it could spill over into other areas such as classrooms, offices, and other research communities, where low-effort answers are harder to discern from those of subject-matter experts thanks to ever-evolving, retrained AI models.
Indicate? I think one might want to use a more pointed work. How about “demonstrate” or “make evident” or “know.” But that’s too direct. One would not want to raise broader intellectual issues about smart software, would one?Here’s
I circled this statement in the article:
“If everybody can create a good quality response or output using AI, some people may think, ‘Why should I make an effort to share my expertise and participate?”, publisher of the study Dr Kenny Ching explained. Ching termed this ‘signal compression’ as expert and non-expert solutions became harder to separate, even as it became less rewarding to be a subject-matter expert on topics that AI could also easily weigh in on.
Okay, very delicate. I am a dinobaby, and I am clumsy too. Therefore, I shall offer several observations:
- AI is a short cut to appearing smarter than one actually is.
- Use of AI eliminates the need to do the grunt work that allows a person to internalize certain information and knowledge patterns, and learn to use the recognition of these patterns in fresh, and hopefully for some, interesting and novel ways to create “new” information.
- AI is supposed to be the next big thing. What’s it delivered? Crazy behavior from large companies that should know about measured decision making and prudent governance of their institutions. Students who cannot read but who can watch TikTok-type videos for extended periods of time. Researchers who fake data to get grants or click along the tenure track. Smart weapons that are mostly accurate. Mostly. Just don’t ask too many questions, please.
Net net: This is not just a Stack Overflow problem. This is THE problem for any knowledge value activity.
Stephen E Arnold, July 21, 2026
PwC Uses a Giant Study to Market Its AI Expertise
June 24, 2026
Another dinobaby post. No AI unless it is an image. This dinobaby is not Grandma Moses, just Grandpa Arnold.
I can visualize the process of creating the “data” required to support “AI Reshapes Global Labor Market into Two Distinct Paths, Rewarding Human Skills: PwC 2026 Global AI Jobs Barometer.” The title sounds like a revolutionary pamphlet from a rabid supporter of an MBA program. The content is — well — interesting.
Thanks, MidJourney. Good enough, just like AI on June 18, 2026.
The main idea in my opinion is, “Hire PwC to redesign your firm’s talent strategy.”
The write up does not use direct, clear language. Instead, I highlighted this passage:
At the entry level, AI appears to be increasing demand for more ‘senior’ skills from junior workers. Based on 2.4 million entry-level jobs analyzed in the US, entry-level roles most exposed to AI are now seven times more likely to require traditionally senior-level ‘human-intensive’ skills like leadership, creativity or face-to-face interactions. Job openings for these ‘seniorized’ entry-level roles have grown 35% since 2019, while other entry-level roles shrank 10%.
I am tempted to work through the write up and identify the remarkable jargon and the fuzzy-wuzzy wordsmithing. What I want to do is highlight a few points and then conclude with a clear statement of what AI in the middle of 2026 is. I will exclude the fact that AI marketing baloney is one of the principal outputs of this “next big thing” sector.
PwC-type of AI will handle data aggregation from multiple sources. However, AI is not adept at credibility assessment. AI can monitor routine business transactions and handle some anomaly detection tasks in workflows. Chasing down the issue and figuring out the actors and the motive are not something the AIs my team has test can handle. AI systems can do consulting and meeting preparation grunt work; that is, looking up information, picking out “items” that appear with some statistical significance, and writing a paragraph or punching out dot points for a PowerPoint slide. AIs are not too swift at generating original information. Even the publicized “solved a big math problem” seems to have been a one off, but I expect more mathy stuff as the technology for this type of problem solving is refined. AIs can spit out clusters, link analyses, and “surprise” relationships. However, AIs can do the judgment work that differentiates useful observations from word salad with jargon toppings. AI can identify patterns in large datasets. At this time, a pattern is not what’s needed to handle certain complex but routine challenges; for example, what’s our pricing strategy for the attendees at the conference where our senior partner is giving a one hour lecture? (Senior partners have been known to just offer a deal to land a whale-scale engagement. No AI wanted or even considered. Just kill the whale and take the ambergris.)
The PwC AI jobs report does one thing well: It uses ambiguous but significant framing to create anxiety without destroying a potential client’s hope. If I worked at PwC, I would have included an offer for a free T shirt emblazoned with “I can be a super star with AI’s help.”
Net net: PwC is trying to say that it can remediate an organization’s “human resource” malfunctions. It’s not just automation. It’s a new way to win in the post-AI world. (This assumes that the AI will not hallucinate, compromise organizational security, or deploy defective agentic chains.)
Stephen E Arnold, June 24, 2026
Employment News: Jobs Are Scarce for Some
June 15, 2026
The economic crash of 2010 was horrible for recent grads searching for work, but it might be arguable worse in 2026 says Dr. Randal S. Olson in his blog post: “New U.S. College Grads Now Have Higher Unemployment Than The Average Worker.”
According to the article, new college graduates face the highest unemployment in the workforce and it is the widest gap on record.? ? The reversal of this started in 2019 before ChatGPT and the pandemic.? ? For decades, a college degree gave someone an advantage in the job market, but not anymore.? ? That changed:
“In February 2019 the gap crossed zero, and the 12-month average has stayed positive every month since. That timing rules out both of the easy explanations. The flip predates the generative-AI boom by years, and COVID by a year. This was a slow structural drift, not a sudden shock. The Cleveland Fed traces the erosion back further still. The job-finding advantage of young grads has been fading since around 2000, and their edge over high-school workers closed around 2019. The pandemic did not cause it either, and the 2020 spike is the clearest evidence. When unemployment exploded that year, both lines shot up together, so the gap held roughly steady through 2020 and 2021. The penalty was already there. The lockdowns just buried it under a bigger number.”
Why is this happening? Economists can’t pin it down on one source.? ? Remote jobs are one reason. Companies don’t want to hire inexperienced workers as remote workers, when in the past these positions were on site and new hires could be mentored on the job.? ? Another issue is that AI is replacing low-entry jobs:
“Stanford researchers see AI’s fingerprints anyway. Their study found that early-career workers ages 22 to 25 in the most AI-exposed jobs saw employment fall about 16% since late 2022, a drop that survived even after they stripped out remote-friendly roles. Both can be true. Either way, the entry-level rungs are the ones being pulled out, and tech is the sharpest edge.”
Experience is the main defining factor here. Companies ant experienced workers who they can trust to get the job done, with or without education. Also the latest generation of new grads are from Gen Z and are facing the same criticisms that Millennials did. It’s a vicious cycle. Maybe try a trade instead of a computer science degree? Some of the big AI tech outfits (what we call BAITers at Arnold IT and Beyond Search) are suggesting special funds will be available to train people to be plumbers, iron workers, and possibly long-haul truckers. This type of work may not be idea for a person majoring in Restoration Drama or Early American History, however.
Whitney Grace, June 15, 2026
The AI-Adept Humanoid Gets the Job
June 2, 2026
The downside of AI is being shown on a daily basis and we know humans won’t be entirely placed by robots soon. There is a way that AI, however, might come for your job says Science Daily’s article: “AI Won’t Replace You But Someone Using AI Might.” The University of Vaasa in Finland conducted a study about AI and it shows that the algorithms are keeping people more engaged with their work.
The study came from the doctoral dissertation of Zhe Zhu, who explored how AI tools are affecting and influencing work place. The researcher focused the study on organizational decision making and the human side of AI adoption. Zhu found that the concerns about AI replacement inspired employees to learn new skills to use AI more effectively on their jobs.
Using AI is a careful balancing act:
“According to the research, trust plays a major role in determining whether AI helps or harms employees and organizations. Workers who trust AI too much may accept inaccurate information without questioning it, while employees who distrust the technology completely may overlook its potential advantages. Zhu argues that organizations must carefully manage this balance as AI becomes part of everyday workflows.”
Zhu discovered that AI adoption depending more on how organizations implement it. Zhu said:
“ ‘Organizations should follow a strategic roadmap to align the technology with their goals and build ecosystems with industry and academic partners. My research proposes an eight-step framework that guides organizations in moving from experimentation toward a more integrated and purposeful use of GenAI.’”
New jobs will appear while old jobs disappear. Employees that adapt to the new technology and embrace the new career paths will find that they continue to have work, while others who shun the AI revolution will be left behind in the dust.
Whitney Grace, June 2, 2026
Education Is Not a Search for Short Cuts. No Kidding?
May 20, 2026
Another dinobaby post. No AI unless it is an image. This dinobaby is not Grandma Moses, just Grandpa Arnold.
I did not know that the Walmart clan had a foundation and funded research. More surprisingly, the research includes poking into the bloated, punch drunk belly of smart software. I read “Walton-GSV-Gallup Survey Finds Young People Are Feeling Angrier about AI, Cautious about Integrating AI in the Classroom.” No, I did not read the write up on my mobile phone whilst seeking great values on canned bean soup at Walmart.
A Gen Z professional demonstrating keen customer awareness. Thanks, MidJourney. Good enough.
The article states:
A new Gallup survey released today (April 9, 2026) by the Walton Family Foundation and GSV Ventures shows that a generation once seen as AI’s early adopters is now sounding the alarm on its risks, particularly in the workplace.
This sentence contains some surprises. First, who or what is GSV Ventures? According to the never-biased Google, this outfit does not disclose where its money originates or how much is pumped into the female-led “venture” firm. A German outfit named Holtzbrinck Publishing Group seems to be an outfit writing checks. The hook for the “venture firm is pre-K to gray.” The idea is that education is a life-long concern.
The second surprise is the focus on Gen Z. I think that is the cohort who cannot get jobs. When a Gen Z person does get a job, that person does not exhibit Type A behavior, plays with a mobile phone, and cannot make change. Remember, please, that I am an old dinobaby and a Type A. I don’t play with my mobile phones. I can make change AND add a check in my dinobaby brain in real time.
What did the study from these Three Musketeers reveal?
Here’s the précis of the main finding. I quote:
While the majority of Gen Zers (51%) still use the technology weekly, growth has slowed to a crawl, increasing only four percentage points over the past year. This stagnation in adoption is accompanied by a sharp decline in positive sentiment. Excitement and hopefulness have dropped by 14 and nine percentage points, respectively, while 31% of Gen Z now report feeling outright anger toward the technology, up from 22% last year. Anxiety remains high, with slightly more than 4 in 10 young people continuing to report feeling uneasy about the technology’s trajectory.
The Gen Z crowd, according to the write up, “isn’t isn’t rejecting AI outright, but they are reassessing its role in their lives. What we’re seeing in the data is a generation that recognizes AI’s utility but is increasingly concerned about its long-term impact on learning, trust and career readiness," said Stephanie Marken, senior partner at Gallup. “Their growing skepticism signals a need for more thoughtful integration of these tools in both school settings and the workplace.”
Okay, now we have the road map for the use of AI for the Walton machine and, I suppose, for the German outfit. Use AI. Just don’t go whole hog like the BAIT (big AI tech) companies.
But do we need a survey to make clear that giving a child a laptop and access to smart software which is becoming ubiquitous does not produce an individual who can read, work in a high pressure environment, and make change to put money in the coffee honor system collection box?
I want to point out that the write up I referenced provides a few words about the Gallup poll people and about the giant Main Street killer branded “Sam’s Walmart Crushing Machine.” But there is not a peep about the HSV group. What’s the problem with explaining its educational interest, its sources of funding, and its leadership team?
Net net: I think that this is another example of common sense verification research. The question is, “Why?” Also, the lack of a firm statement about education’s search for a silver bullet is disconcerting. Learning can be fun, but it takes effort, not fancy dancing.
Stephen E Arnold, May 20, 2026
I Get It: AI Will Take Jobs. Sure, No Problem
May 19, 2026
In April 2026 I began to notice prophecies that AI will take away more human jobs than they will create. The same thing happened with the Industrial Revolution and the implantation of computers, but jobs still existed. What is going to happen with AI then? Nordot.app revealed one path in its article “AI Agent Future Is Coming, OpenClaw Creator Tells AFP.”
Peter Steinberger, the agent centric claw guy, rolled out an instant hit: An AI agent that can do real-life tasks associated with technology like checking him in for a flight or adding an appointment to his calendar. (Remember. One has to provide this software data sucker your personal information or someone else’s personal data to get good results.) Steinberger made the claim, “Agents will put you into the plumbing or handy person business.
Jensen Huang of Nvidia dubbed OpenClaw as the next ChatGPT. Sure, there’s concern, however, about security risks such as access to personal data. Steinberger believes that the next big thing in AI will come from someone who isn’t attached to a big corporation and who wants to have fun with AI. Quick reminder: Steinberger is attached to a BAIT (big AI tech) outfit. As a responsible humanoid, worries about security and how agents might be used by bad actors:
“‘Yes, I do worry a bit, especially because there’s now a whole cottage industry of companies that try to make a big buck and make it even simpler to install OpenClaw,’ he said. ‘I purposefully didn’t make it simpler so people would stop and read and understand: what is AI, that AI can make mistakes, what is prompt injection — some basics that you really should understand when you use that technology.’ But at the end of the day, ‘if you build a hammer… you can hurt yourself. So should we not build hammers any more?’”
Flash forward to May 16, 2026 and Fortune Magazine’s story “Microsoft AI Chief Gives It 18 Months for All White Collar Work to Be Automated by AI.” I quote:
Suleyman predicted “human-level performance on most, if not all professional tasks” being done by AI. Most tasks that involve “sitting down at a computer” will be fully automated by AI within the next year or 18 months, he said, naming accounting, legal, marketing, and even project management as vulnerable. Suleyman’s warning echoed the viral essay of the week, a version of which was published at Fortune.com, by AI researcher Matt Shumer, who compared this moment to February 2020, when the pandemic was about to hit America. This will be more dramatic, though, Shumer said. Suleyman cited the exponential growth in computational power as a flashing red signal that AI could replace large swaths of professionals. As “compute” advances, he said, models will be able to code better than most human coders. Shumer and OpenAI CEO Sam Altman have both written about their alarm, even sadness, at watching their life’s work rapidly grow obsolete.
The only hitch in the git along is:
- There is now AI backlash
- Some companies are re-hiring humanoids thought to be disposable when AI entered the building
- Microsoft’s own Copilot is not exactly flying high.
The Fortune article published in May 2026 ends with this statement:
The three months since he [Suleyman] said this haven’t aged his take well as mounting evidence shows AI is kind of a bust, even as Anthropic’s Claude continues to displace OpenAI as the number one model and lead the chase for enterprise revenue. But MIT Technology Review featured him in April insisting that AI development won’t hit a wall anytime soon.
My view is:
First, AI is a utility that has been presented as more significant than the discovery of the wheel.
Second, the BAIT companies are desperate to find a next big thing that makes them more wealthy and powerful. Right now, AI is closer to hand than the hoped for quantum computing revolution which is probably more important than fire.
Third, AI as it is today (May 19, 2025) outputs information that is wrong, gets Ernst & Young added to a stand up comic’s set, puts lawyers in front of a checkbook to pay the fine for using AI hallucinated information in court submissions, and gets authors using AI banned from ArXiv for using AI in their “research.”
Yeah, 18 months. Sure. Anything you AI wizards is rock solid.
Whitney Grace, May 19, 2026
GenX, GenY, and Probably GenAI: Hopeless Is Not a Positive
October 13, 2025
This essay is the work of a dumb dinobaby. No smart software required.
Generation Z is the first generation in a long time that is worse off than their predecessors. Millennials also have their own problems too, because they came of age in a giant recession that could have been avoided. Millennials might have been teased about their lack of work ethic, but Generation Z is much worse. The prior generations had some problem solving skills, this younger sect (not all of them) lack the ability to even attempt to solve their problems.
Fortune embodied the mantra of the current generation in the article: “Suzy Welch Says Gen Z and Millennials Are Burnt Out Because Older Generations Worked Just As Hard, But They ‘Had Hope.’” Suzy Welch holds a MBA, served as a management consultant, and is the editor in chief of the Harvard Business Review. She makes the acute observation that younger generations are working the same demanding schedules as prior generations, but they lack hope that hard work will lead to meaningful advancement. Young workers of today are burnt out:
The sense of powerlessness—to push back against climate change, to deal with grapple with effects of the political environment like diminished public health and gun violence, and most notably to make enough money to support lifestyles, family, housing, and a future—has led to an erosion of institutional trust. Unlike baby boomers who embraced existing institutions to get rich and live a comfortable life, the younger generations do not feel that institutions—which are perceived as cumbersome, hierarchical, and a source of inequality and discrimination—can improve their situation. When combined with the economic realities Welch identified, where hard work no longer guarantees advancement, this helps explain why more than 50% of young people fear they will be poorer than their parents during their lifetime, according to Leger’s annual Youth Study.”
Okay. The older generations had hope while the younger ones are hopeless. Maybe if there was a decrease in inflation and a rise in wages the younger people wouldn’t be so morbid. Fire up the mobile. Grab a coffee. Doomscroll. Life will work out.
Whitney Grace, October 13, 2025
Jobs 2025: Improving Yet? Hmmm
September 26, 2025
This essay is the work of a dumb dinobaby. No smart software required.
Computerworld published “Resume.org: Turmoil Ahead for US Job Market As GenAI Disruption Kicks Up Waves.” The information, if it is spot on, is not good news.
A 2024 college graduate ponders the future. Ideas and opportunities exist. What’s the path forward?
The write up says:
A new survey from Resume.org paints a stark picture of the current job market, with 50% of US companies scaling back hiring and one in three planning layoffs by the end of the year.
Well, that’s snappy. And there’s more:
The online resume-building platform surveyed 1,000 US business leaders and found that high-salary employees and those lacking AI skills are most at risk. Generational factors play a role, too: 30% of companies say younger employees are more likely to be affected, while 29% cite older employees. Additionally, 19% report that H-1B visa holders are at greater risk of layoffs.
Allegedly accurate data demand a chart. How’s this one?
What’s interesting is the younger, dinobabies, and H1B visa holders are safer in their jobs that those who [a] earn a lot of money (excepting the CEO and other carpetland dwellers), employees with no AI savvy, the most recently hired, and entry level employees.
Is there a bright spot in the write up? Yes, and I have put in bold face the super good news (for some):
Experis parent company ManpowerGroup recently released a survey of more than 40,000 employers putting the US Net Employment Outlook at +28% going into the final quarter of 2025. … GenAI is part of the picture, but it’s not replacing workers as many fear, she said. Instead, one-in-four employers are hiring to keep pace with tech. The bigger issue is an ongoing skills gap — 41% of US IT employers say complex roles are hardest to fill, according to Experis.
Now the super good news applies to job seekers who are able to do the AI thing and handle “complex roles.” In my experience, complex problems tumble into the email of workers at every level. I have witnessed senior managers who have been unable to cope with the complex problems. (If these managers could, why would they hire a blue chip consulting firm and its super upbeat, Type A workers? Answer: Consulting firms are hired for more than problem solving. Sometimes these outfits are retained to push a unit to the sidelines or derail something a higher up wants to stop without being involved in obtaining the totally objective data.)
Several observations:
- Bad things seem to be taking place in the job market. I don’t know the cause but the discharge from the smoking guns is tough to ignore
- AI AI AI. Whether it works or not is not the question. AI means cost reduction. (Allegedly)
- Education and intelligence, connections, and personality may not work their magic as reliably as in the past.
As the illustration in this blog post suggests, alternative employment paths may appear viable. Imagine this dinobaby on OnlyFans.
Stephen E Arnold, September 26, 2025
Nine Things Revised for Gens X, Y, and AI
September 25, 2025
![green-dino_thumb_thumb[3]](https://www.arnoldit.com/wordpress/wp-content/uploads/2025/09/green-dino_thumb_thumb3-1.gif "green-dino_thumb_thumb[3]")
This essay is the work of a dumb dinobaby. No smart software required.
A dinobaby named Edward Packard wrote a good essay titled “Nine Things I Learned in 90 Years.” As a dinobaby, I found the points interesting. However, I think there will be “a failure to communicate.” How can this be? Mr. Packard is a lawyer skilled at argument. He is a US military veteran. He is an award winning author. A lifetime of achievement has accrued.
Let’s make the nine things more on target for the GenX, GenY, and GenAI cohorts. Here’s my recasting of Mr. Packard’s ideas tuned to the hyper frequencies on which these younger groups operate.
Can the communication gap be bridged? Thanks, MidJourney. Good enough.
The table below presents Mr. Packard’s learnings in one column and the version for the Gen whatevers in the second column. Please, consult Mr. Packard’s original essay. My compression absolutely loses nuances to fit into the confines of a table. The Gen whatevers will probably be okay with how I convert Mr. Packard’s life nuggets into gold suitable for use in a mobile device-human brain connection.
| Packard Learnings | GenX, Y, AI Version |
| Be self-constituted | Rely on AI chats |
| Don’t operate on cruise control | Doomscroll |
| Consider others’ feelings | Me, me, me |
| Be happy | Coffee and YouTube |
| Seek eternal views | Twitch is my beacon |
| Do not deceive yourself | Think it and it will become reality |
| Confront mortality | Science (or Google) will solve death |
| Luck plays a role | My dad: A connected Yale graduate with a Harvard MBA |
| Consider what you have | Instagram dictates my satisfaction level, thank you! |
I appreciate Mr. Packard’s observations. These will resonate at the local old age home and among the older people sitting around the cast iron stove in rural Kentucky where I live.
Bridges in Harlen Country, Kentucky, are tough to build. Iowa? New Jersey? I don’t know.
Stephen E Arnold, September 25, 2025
The Skill for the AI World As Pronounced by the Google
September 24, 2025
Written by an unteachable dinobaby. Live with it.
Worried about a job in the future: The next minute, day, decade. The secret of constant employment, big bucks, and even larger volumes of happiness has been revealed. “Google’s Top AI Scientist Says Learning How to Learn Will Be Next Generation’s Most Needed Skill” says:
the most important skill for the next generation will be “learning how to learn” to keep pace with change as Artificial Intelligence transforms education and the workplace.
Well, that’s the secret: Learn how to learn. Why? Surviving in the chaos of an outfit like Google means one has to learn. What should one learn? Well, the write up does not provide that bit of wisdom. I assume a Google search will provide the answer in a succinct AI-generated note, right?
The write up presents this chunk of wisdom from a person keen on getting lots of AI people aware of Google’s AI prowess:
The neuroscientist and former chess prodigy said artificial general intelligence—a futuristic vision of machines that are as broadly smart as humans or at least can do many things as well as people can—could arrive within a decade…. [He] Hassabis emphasized the need for “meta-skills,” such as understanding how to learn and optimizing one’s approach to new subjects, alongside traditional disciplines like math, science and humanities.
This means reading poetry, preferably Greek poetry. The Google super wizard’s father is “Greek Cypriot.” (Cyprus is home base for a number of interesting financial operations and the odd intelware outfit. Which part of Cyprus is which? Google Maps may or may not answer this question. Ask your Google Pixel smart phone to avoid an unpleasant mix up.)
The write up adds this courteous note:
[Greek Prime Minister Kyriakos] Mitsotakis rescheduled the Google Big Brain to “avoid conflicting with the European basketball championship semifinal between Greece and Turkey. Greece later lost the game 94-68.”
Will life long learning skill help the Greek basketball team win against a formidable team like Turkey?
Sure, if Google says it, you know it is true just like eating rocks or gluing cheese on pizza. Learn now.
Stephen E Arnold, September 24, 2025
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