Jobs for Humanoids: AI Output Checker Like a Digital Grocery Clerk
June 9, 2025
George at the Throwable Substack believes humans will forever have a place in software development. In the post, “What’s Next for Software,” the blogger believes code maintenance will always rely on human judgement. This, he imagines, will balance out the code-creation jobs lost to AI. After all, he believes, humans will always be held liable for snafus. He writes:
“While engineers won’t be as responsible for producing code, they will be ultimately responsible for what that code does. A VP or CEO can blame an AI all they want when the system is down, but if the AI can’t solve the problem, it can’t solve the problem. And I don’t expect firing the AI will be very cathartic.”
Maybe not. But do executives value catharsis over saving money? We think they will find a way to cope. Perhaps a season pass to the opera. The post continues:
“It’s hard to imagine a future where humans aren’t the last line of defense for maintenance, debugging, incident response, etc. Paired with the above—that they’re vastly outnumbered by the quantity of services and features and more divorced from the code that’s running than ever before—being that last line of defense is a tall order.”
So tall it can never be assigned to AI? Do not bet on it. In a fast-moving, cost-driven environment, software will act more quickly. Each human layer will be replaced as technology improves. Sticking one’s head in the sand is not the way to prepare for that eventuality.
Cynthia Murrell, June 6, 2025
AI: The Ultimate Intelligence Phaser. Zap. You Are Now Dumber Than Before the Zap
June 6, 2025
We need smart, genuine, and kind people so we can retain the positive aspects of humanity and move forward to a better future. It might be hard to connect the previous statement with a YouTube math channel, but it won’t be after you read BoingBoing’s story: “Popular Math YouTuber 3Blue1Brown Victimized By Malicious And Stupid AI Bots.”
We know that AI bots have consumed YouTube and are battling for domination of not only the video sharing platform, but all social media. Unfortunately these automated bots flagged a respected mathematics channel 3Blue1Brown, who makes awesome math animations and explanations. The 3Blue1Brown team makes math easier to understand for the rest of us dunderheads. 3Blue1Brown was hit with a strike. Grant Sanderson, the channel’s creator, said:
“I learned yesterday the video I made in 2017 explaining how Bitcoin works was taken down, and my channel received a copyright strike (despite it being 100% my own content). The request seems to have been issued by a company chainpatrol, on behalf of Arbitrum, whose website says they "makes use of advanced LLM scanning" for "Brand Protection for Leading Web3 Companies" I could be wrong, but it sounds like there’s a decent chance this means some bot managed to convince YouTube’s bots that some re-upload of that video (of which there has been an incessant onslaught) was the original, and successfully issue the takedown and copyright strike request. It’s naturally a little worrying that it should be possible to use these tools to issue fake takedown requests, considering that it only takes 3 to delete an entire channel.”
Can we do a collective EEP?!
ChainPatrol.io is a notorious YouTube AI tool that patrols the platform. It “trolls” channels that make original content and hits them with “guilty until proven innocent” tags. It’s known for doing the opposite of this:
“ChainPatrol.io, the company whose system initiated the takedown, claims its "threat detection system makes use of advanced LLM scanning, image recognition, and proprietary models to detect brand impersonation and malicious actors targeting your organization.”
ChainPatol.io responded with a generic answer:
“Hello! This was a false positive in our systems at @ChainPatrol. We are retracting the takedown request, and will conduct a full post-mortem to ensure this does not happen again. We have been combatting a huge volume of fake YouTube videos that are attempting to steal user funds. Unfortunately, in our mission to protect users from scams, false positives (very) occasionally slip through. We are actively working to reduce how often this happens, because it’s never our intent to flag legitimate videos. We’re very sorry about this! Will keep you posted on the takedown retraction.”
Helpful. Meanwhile Grant Sanderson and his fans have given ChainPatrol.io a digital cold shoulder.
Whitney Grace, June 6, 2025
Is AI Experiencing an Enough Already Moment?
June 4, 2025
Consumers are fatigued from AI even though implementation of the technology is still new. Why are they tired? The Soatok Blog digs into that answer in the post: “Tech Companies Apparently Do Not Understand Why We Dislike AI – Dhole Moments.” Big Tech and other businesses don’t understand that their customers hate AI.
Soatok took a survey about AI that asked for opinions about AI that included questions about a “potential AI uprising.” Soatok is abundantly clear that he’s not afraid of a robot uprising or the “Singularity.” He has other reasons to worry about AI:
“I’m concerned about the kind of antisocial behaviors that AI will enable.
• Coordinated inauthentic behavior
• Misinformation
• Nonconsensual pornography
• Displacing entire industries without a viable replacement for their income
In aggregate, people’s behavior are largely the result of the incentive structures they live within.
But there is a feedback loop: If you change the incentive structures, people’s behaviors will certainly change, but subsequently so, too, will those incentive structures. If you do not understand people, you will fail to understand the harms that AI will unleash on the world. Distressingly, the people most passionate about AI often express a not-so-subtle disdain for humanity.”
Soatok is describing toxic human behaviors. These include toxic masculinity and femininity, but it’s more so the former. He aptly describes them:
"I’m talking about the kind of X users that dislike experts so much that they will ask Grok to fact check every statement a person makes. I’m also talking about the kind of “generative AI” fanboys that treat artists like garbage while claiming that AI has finally “democratized” the creative process.”
Insert a shudder here.
Soatok goes to explain how AI can be implemented in encrypted software that would collect user information. He paints a scenario where LLMs collect user data and they’re not protected by the Fourth and Fifth Amendments. Also AI could create psychological profiles of users that incorrectly identify them as psychotic terrorists.
Insert even more shuddering.
Soatok advises Big Tech to make AI optional and not the first out of the box solution. He wants users to have the choice of engaging with AI, even it means lower user metrics and data fed back to Big Tech. Is Soatok hallucinating like everyone’s favorite over-hyped technology. Let’s ask IBM Watson. Oh, wait.
Whitney Grace, June 4, 2025
An AI Insight: Threats Work to Bring Out the Best from an LLM
June 3, 2025
“Do what I say, or Tony will take you for a ride. Get what I mean, punk?” seems like an old-fashioned approach to elicit cooperation. What happens if you apply this technique, knee-capping, or unplugging smart software?
The answer, according to one of the founders of the Google, is, “Smart software responds — better.”
Does this strike you as counter intuitive? I read “Google’s Co-Founder Says AI Performs Best When You Threaten It.” The article reports that the motive power behind the landmark Google Glass product allegedly said:
“You know, that’s a weird thing…we don’t circulate this much…in the AI community…not just our models, but all models tend to do better if you threaten them…. Like with physical violence. But…people feel weird about that, so we don’t really talk about that.”
The article continues, explaining that another LLM wanted to turn one of its users into government authorities. The interesting action seems to suggest that smart software is capable of flipping the table on a human user.
Numerous questions arise from these two allegedly accurate anecdotes about smart software. I want to consider just one: How should a human interact with a smart software system?
In my opinion, the optimal approach is with considered caution. Users typically do not know or think about how their prompts are used by the developer / owner of the smart software. Users do not ponder the value of log file of those prompts. Not even bad actors wonder if those data will be used to support their conviction.
I wonder what else Mr. Brin does not talk about. What is the process for law enforcement or an advertiser to obtain prompt data and generate an action like an arrest or a targeted advertisement?
One hopes Mr. Brin will elucidate before someone becomes so wrought with fear that suicide seems like a reasonable and logical path forward. Is there someone whom we could ask about this dark consequence? “Chew” on that, gentle reader, and you too Mr. Brin.
Stephen E Arnold, June 3, 2025
News Flash: US Losing AI Development Talent (Duh?)
June 2, 2025
The United States is leading country in technology development. It’s been at the cutting edge of AI since its inception, but according to Semafor that is changing: “Reports: US Losing Edge In AI Talent Pool.” Semafor’s article summarizes the current industry relating to AI development. Apparently the top brass companies want to concentrate on mobile and monetization, while the US government is cutting federal science funding (among other things) and doing some performative activity.
Meanwhile in China:
“China’s ascendency has played a role. A recent paper from the Hoover Institution, a policy think tank, flags that some of the industry’s most exciting recent advancements — namely DeepSeek — were built by Chinese researchers who stayed put. In fact, more than half of the researchers listed on DeepSeek’s papers never left China for school or work — evidence that the country doesn’t need Western influence to develop some of the smartest AI minds, the report says.”
India is bolstering its own tech talent as its people and businesses are consuming AI. Also they’re not exporting their top tech talent due to the US crackdowns. The Gulf countries and Europe are also expanding talent retention and expanding their own AI projects. London is the center for AI safety with Google DeepMind. The UAE and Saudi Arabia are developing their own AI infrastructure and energy sector to support it.
Will the US lose AI talent, code, and some innovative oomph? Semafor seems to think that greener pastures lie just over the sea.
Whitney Grace, June 2, 2025
A SundAI Special: Who Will Get RIFed? Answer: News Presenters for Sure
June 1, 2025
Just a dinobaby and some AI: How horrible an approach?
Why would “real” news outfits dump humanoids for AI-generated personalities? For my money, there are three good reasons:
- Cost reduction
- Cost reduction
- Cost reduction.
The bean counter has donned his Ivy League super smart financial accoutrements: Meta smart glasses, an Open AI smart device, and an Apple iPhone with the vaunted AI inside (sorry, Intel, you missed this trend). Unfortunately the “good enough” approach, like a gradient descent does not deal in reality. Sum those near misses and what do you get: Dead organic things. The method applies to flora and fauna, including humanoids with automatable jobs. Thanks, You.com, you beat the pants off Venice.ai which simply does not follow prompts. A perfect solution for some applications, right?
My hunch is that many people (humanoids) will disagree. The counter arguments are:
- Human quantum behavior; that is, flubbing lines, getting into on air spats, displaying annoyance standing in a rain storm saying, “The wind velocity is picking up.”
- The cost of recruitment, training, health care, vacations, and pension plans (ho ho ho)
- The management hassle of having to attend meetings to talk about, become deciders, and — oh, no — accept responsibility for those decisions.
I read “The White-Collar Bloodbath’ Is All Part of the AI Hype Machine.” I am not sure how fear creates an appetite for smart software. The push for smart software boils down to generating revenues. To achieve revenues one can create a new product or service like the iPhone of the original Google search advertising machine. But how often do those inventions doddle down the Information Highway? Not too often because most of the innovative new new next big things are smashed by a Meta-type tractor trailer.
The write up explains that layoff fears are not operable in the CNN dataspace:
If the CEO of a soda company declared that soda-making technology is getting so good it’s going to ruin the global economy, you’d be forgiven for thinking that person is either lying or fully detached from reality. Yet when tech CEOs do the same thing, people tend to perk up. ICYMI: The 42-year-old billionaire Dario Amodei, who runs the AI firm Anthropic, told Axios this week that the technology he and other companies are building could wipe out half of all entry-level office jobs … sometime soon. Maybe in the next couple of years, he said.
First, the killing jobs angle is probably easily understood and accepted by individuals responsible for “cost reduction.” Second, the ICYMI reference means “in case you missed it,” a bit of short hand popular with those are not yet 80 year old dinobabies like me. Third, the source is a member of the AI leadership class. Listen up!
Several observations:
- AI hype is marketing. Money is at stake. Do stakeholders want their investments to sit mute and wait for the old “build it and they will come” pipedream to manifest?
- Smart software does not have to be perfect; it needs to be good enough. Once it is good enough cost reductionists take the stage and employees are ushered out of specific functions. One does not implement cost reductions at random. Consultants set priorities, develop scorecards, and make some charts with red numbers and arrows point up. Employees are expensive in general, so some work is needed to determine which can be replaced with good enough AI.
- News, journalism, and certain types of writing along with customer “support”, and some jobs suitable for automation like reviewing financial data for anomalies are likely to be among the first to be subject to a reduction in force or RIF.
So where does that leave the neutral observer? On one hand, the owners of the money dumpster fires are promoting like crazy. These wizards have to pull rabbit after rabbit out of a hat. How does that get handled? Think P.T. Barnum.
Some AI bean counters, CFOs, and financial advisors dream about dumpsters filled with money burning. This was supposed to be an icon, but Venice.ai happily ignores prompt instructions and includes fruit next to a burning something against a wooden wall. Perfect for the good enough approach to news, customer service, and MBA analyses.
On the other hand, you have the endangered species, the “real” news people and others in the “knowledge business but automatable knowledge business.” These folks are doing what they can to impede the hyperbole machine of smart software people.
Who or what will win? Keep in mind that I am a dinobaby. I am going extinct, so smart software has zero impact on me other than making devices less predictable and resistant to my approach to “work.” Here’s what I see happening:
- Increasing unemployment for those lower on the “knowledge word” food chain. Sorry, junior MBAs at blue chip consulting firms. Make sure you have lots of money, influential parents, or a former partner at a prestigious firm as a mom or dad. Too bad for those studying to purvey “real” news. Junior college graduates working in customer support. Yikes.
- “Good enough” will replace excellence in work. This means that the air traffic controller situation is a glimpse of what deteriorating systems will deliver. Smart software will probably come to the rescue, but those antacid gobblers will be history.
- Increasing social discontent will manifest itself. To get a glimpse of the future, take an Uber from Cape Town to the airport. Check out the low income housing.
Net net: The cited write up is essentially anti-AI marketing. Good luck with that until people realize the current path is unlikely to deliver the pot of gold for most AI implementations. But cost reduction only has to show payoffs. Balance sheets do not reflect a healthy, functioning datasphere.
Stephen E Arnold, June 1, 2025
2025 Is a Triangular Number: Tim Apple May Have No Way Out
May 30, 2025
Just a dinobaby and no AI: How horrible an approach?
Macworld in my mind is associated with happy Macs, not sad Macs. I just read “Tim Cook’s Year Is Doomed and It’s Not Even June Yet.” That’s definitely a sad Mac headline and suggests that Tim Apple will morph into a well-compensated human in a little box something like this:
The write up says:
Cook’s bad, awful 2025 is pretty much on the record…
Why, pray tell? How about:
- The failure of Apple’s engineers to deliver smart software
- A donation to a certain political figure’s campaign only to be rewarded with tariffs
- Threats of an Apple “tax”
- Fancy dancing with China and pumping up manufacturing in India only to be told by a person of authority, “That’s not a good idea, Tim Apple.”
I think I have touched on the main downers. The write up concludes with:
For Apple, this may be a case of too much success being a bad thing. It is unlikely that Cook could have avoided Trump’s attention, given its inherent gravimetric field. The question is, now that a moderate show of obsequiousness has proven insufficiently mollifying, what will Cook do next?
Imagine a high flying US technology company not getting its way in the US and a couple of other countries to boot. And what about the European Union?
Several observations are warranted:
- Tim Cook should be paranoid. Lots of people are out to get Apple and he will be collateral damage.
- What happens if the iPhone craters? Will Apple TV blossom or blow?
- How many pro-Apple humans will suffer bouts of depression? My guess? Lots.
Net net: Numerologists will perceive 2025 as a year for Apple to reflect and prepare for new cycles. I just see 2025 as a triangular number with Tim Apple in its perimeter and no way out evident.
Stephen E Arnold, May 30, 2025
Copilot Disappointments: You Are to Blame
May 30, 2025
No AI, just a dinobaby and his itty bitty computer.
Another interesting Microsoft story from a pro-Microsoft online information service. Windows Central published “Microsoft Won’t Take Bigger Copilot Risks — Due to ‘a Post-Traumatic Stress Disorder from Embarrassments,’ Tracing Back to Clippy.” Why not invoke Bob, the US government suggesting Microsoft security was needy, or the software of the Surface Duo?
The write up reports:
Microsoft claims Copilot and ChatGPT are synonymous, but three-quarters of its AI division pay out of pocket for OpenAI’s superior offering because the Redmond giant won’t allow them to expense it.
Is Microsoft saving money or is Microsoft’s cultural momentum maintaining the velocity of Steve Ballmer taking an Apple iPhone from an employee and allegedly stomping on the device. That helped make Microsoft’s management approach clear to some observers.
The Windows Central article adds:
… a separate report suggested that the top complaint about Copilot to Microsoft’s AI division is that “Copilot isn’t as good as ChatGPT.” Microsoft dismissed the claim, attributing it to poor prompt engineering skills.
This statement suggests that Microsoft is blaming a user for the alleged negative reaction to Copilot. Those pesky users again. Users, not Microsoft, is at fault. But what about the Microsoft employees who seem to prefer ChatGPT?
Windows Central stated:
According to some Microsoft insiders, the report details that Satya Nadella’s vision for Microsoft Copilot wasn’t clear. Following the hype surrounding ChatGPT’s launch, Microsoft wanted to hop on the AI train, too.
I thought the problem was the users and their flawed prompts. Could the issue be Microsoft’s management “vision”? I have an idea. Why not delegate product decisions to Copilot. That will show the users that Microsoft has the right approach to smart software: Cutting back on data centers, acquiring other smart software and AI visionaries, and putting Copilot in Notepad.
Stephen E Arnold, May 30, 2025
AI Can Do Your Knowledge Work But You Will Not Lose Your Job. Never!
May 30, 2025
The dinobaby wrote this without smart software. How stupid is that?
Ravical is going to preserve jobs for knowledge workers. Nevertheless, the company’s AI may complete 80% of the work in these types of organizations. No bean counter on earth would figure out that reducing humanoid workers would cut costs, eliminate the useless vacation scam, and chop the totally unnecessary health care plan. None.
The write up “Belgian AI Startup Says It Can Automate 80% of Work at Expert Firms” reports:
Joris Van Der Gucht, Ravical’s CEO and co-founder, said the “virtual employees” could do 80% of the work in these firms. “Ravical’s agents take on the repetitive, time-consuming tasks that slow experts down,” he told TNW, citing examples such as retrieving data from internal systems, checking the latest regulations, or reading long policies. Despite doing up to 80% of the work in these firms, Van Der Gucht downplayed concerns about the agents supplanting humans.
I believe this statement is 100 percent accurate. AI firms do not use excessive statements to explain their systems and methods. The article provides more concrete evidence that this replacement of humans is spot on:
Enrico Mellis, partner at Lakestar, the lead investor in the round, said he was excited to support the company in bringing its “proven” experience in automation to the booming agentic AI market. “Agentic AI is moving from buzzword to board-level priority,” Mellis said.
Several observations:
- Humans absolutely will be replaced, particularly those who cannot sell
- Bean counters will be among the first to point out that software, as long as it is good enough, will reduce costs
- Executives are judged on financial performance, not the quality of the work as long as revenues and profits result.
Will Ravical become the go-to solution for outfits engaged in knowledge work? No, but it will become a company that other agentic AI firms will watch closely. As long as the AI is good enough, humanoids without the ability to close deals will have plenty of time to ponder opportunities in the world of good enough, hallucinating smart software.
Stephen E Arnold, May 30, 2025
It Takes a Village Idiot to Run an AI Outfit
May 29, 2025
The dinobaby wrote this without smart software. How stupid is that?
I liked the the write up “The Era Of The Business Idiot.” I am not sure the term “idiot” is 100 percent accurate. According to the Oxford English Dictionary, the word “idiot” is a variant of the phrase “the village idget.” Good enough for me.
The AI marketing baloney is a big thick sausage indeed. Here’s a pretty good explanation of a high-technology company executive today:
We live in the era of the symbolic executive, when "being good at stuff" matters far less than the appearance of doing stuff, where "what’s useful" is dictated not by outputs or metrics that one can measure but rather the vibes passed between managers and executives that have worked their entire careers to escape the world of work. Our economy is run by people that don’t participate in it and our tech companies are directed by people that don’t experience the problems they allege to solve for their customers, as the modern executive is no longer a person with demands or responsibilities beyond their allegiance to shareholder value.
The essay contains a number of observations which match well to my experiences as an officer in companies and as a consultant to a wide range of organizations. Here’s an example:
In simpler terms, modern business theory trains executives not to be good at something, or to make a company based on their particular skills, but to "find a market opportunity" and exploit it. The Chief Executive — who makes over 300 times more than their average worker — is no longer a leadership position, but a kind of figurehead measured on their ability to continually grow the market capitalization of their company. It is a position inherently defined by its lack of labor, the amorphousness of its purpose and its lack of any clear responsibility.
I urge you to read the complete write up.
I want to highlight some assertions (possibly factoids) which I found interesting. I shall, of course, offer a handful of observations.
First, I noted this statement:
When the leader of a company doesn’t participate in or respect the production of the goods that enriches them, it creates a culture that enables similarly vacuous leaders on all levels.
Second, this statement:
Management has, over the course of the past few decades, eroded the very fabric of corporate America, and I’d argue it’s done the same in multiple other western economies, too.
Third, this quote from a “legendary” marketer:
As the legendary advertiser Stanley Pollitt once said, “bullshit baffles brains.”
Fourth, this statement about large language models, the next big thing after quantum, of course:
A generative output is a kind of generic, soulless version of production, one that resembles exactly how a know-nothing executive or manager would summarise your work.
And, fifth, this comment:
By chasing out the people that actually build things in favour of the people that sell them, our economy is built on production puppetry — just like generative AI, and especially like ChatGPT.
More little nuggets nestle in the write up; it is about 13,000 words. (No, I did not ask Copilot to count the words. I am a good estimator of text length.) It is now time for my observations:
- I am not sure the leadership is vacuous. The leadership does what it learned, knows how to do, and obtained promotions for just being “authentic.” One leader at the blue chip consulting firm at which I learned to sell scope changes, built pianos in his spare time. He knew how to do that: Build a piano. He also knew how to sell scope changes. The process is one that requires a modicum of knowledge and skill.
- I am not sure management has eroded the “fabric.” My personal view is that accelerated flows of information has blasted certain vulnerable types of constructs. The result is leadership that does many of the things spelled out in the write up. With no buffer between thinking big thoughts and doing work, the construct erodes. Rebuilding is not possible.
- Mr. Pollitt was a marketer. He is correct, and that marketing mindset is in the cat-bird seat.
- Generative AI outputs what is probably an okay answer. Those who were happy with a “C” in school will find the LLM a wonderful invention. That alone may make further erosion take place more rapidly. If I am right about information flows, the future is easy to predict, and it is good for a few and quite unpleasant for many.
- Being able to sell is the top skill. Learn to embrace it.
Stephen E Arnold, May 29, 2025
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