Tag Archives: AI

What AI is teaching us about consciousness with Michael Pollan and Chris Hayes

MS NOW Jun 16, 2026 “Why is This Happening?” The Chris Hayes Podcast Scientists, philosophers, and artists all agree: consciousness is a unique feeling. And at the same time, one of the world’s most confounding and complex questions remains: what exactly is this feeling? Is it awareness? Is it thoughts? Feelings? Michael Pollan joins Chris Hayes to share what he’s learned about the force that animates all of us.

Future humans

Dr. Mayim Bialik Jul 14, 2026 Mayim Bialik’s Breakdown Watch episodes & bonus content ad-free on https://bialikbreakdown.substack.com/ Dr. Diana Walsh Pasulka — professor of religious studies, author of The Others: UFOs, AI, and the Secret Forces Guiding Human Destiny — is here to answer one of the most controversial and fascinating questions of our time: what if many of humanity’s oldest spiritual encounters weren’t interpreted correctly at all? Dr. Pasulka breaks down:

  • Shocking similarities between alien abductions & purgatory that first pulled her into UAP research
  • Whether historical Catholic supernatural experiences would be interpreted today as UFO encounters
  • Why many researchers believe we need to radically rethink the concept of “aliens”
  • Physiology of UAP encounters and how experiencers may access altered states or different parts of the brain
  • Carl Jung’s theory that UFOs could emerge from the unconscious mind
  • Why belief in nonhuman intelligence is rapidly increasing, and why it may function as a modern religion
  • Reports throughout Catholic history describing encounters with nonhuman entities
  • Whether aerospace engineers and scientists are receiving “downloads” or ideas from nonhuman intelligence
  • Recent deaths and disappearances of scientists connected to nuclear and aerospace programs (Are they connected to UAP research?)
  • Why proof of nonhuman intelligence may NOT destroy religious belief
  • Why some people believe AI could be the antichrist, while others think resisting AI is the true danger
  • Whether governments are in a position to confirm historical religious events
  • Psychedelics, altered states, and historical encounters with nonhuman intelligence
  • Why certain people appear far more open to supernatural experiences than others
  • Hidden role sci-fi plays as a framework for understanding modern UFO phenomena
  • Real function of religion and how humanity uses belief systems to explain what science still can’t
  • Measurable physical & neurological benefits of prayer
  • Whether humanity is heading toward a religious revival, or if religion has become too politicized to recover

This episode of Mayim Bialik’s Breakdown explores the intersection of UFOs, religion, consciousness, AI, mysticism, Catholicism, neuroscience, psychedelics, government secrecy, and the future of human belief itself. If you’re interested in UAP disclosure, nonhuman intelligence, ancient religions, consciousness research, alien encounters, spiritual experiences, or the future of AI, this conversation will challenge everything you think you know! — 00:00 – Intro 03:53 – Purpose & Function of Religion 10:25 – Limits of Religion 15:42 – Religion Beyond Materialism 17:38 – From Skeptic To UFO Research 20:20 – Visiting a New Mexico UAP Crash Site 24:23 – Angels, Saints, &UFO Parallels 36:35 – Who is More Open to the Supernatural? 43:20 – Does the Vatican have Evidence of UAPs? 45:14 – Catholic Views on Nonhuman Intelligence 52:54 – What Happens When Religion Gets Political? 56:05 – Similarities between Alien Abductions & Purgatory 59:04 – How Culture Shapes Encounters 1:01:32 Sci-Fi as New Mythos 1:10:34 Disclosure & Plato’s Cave 1:15:21 Accessing NHI through Psychedelics? 1:29:30 – Are Recent Disappearances Tied to UAP Research? 1:39:36 – AI Antichrist Debate 1:46:23 Faith & Disclosure

The AI Boom Runs on an Even More Dangerous Machine (Part 1)

By Lynn Parramore

Aug 10, 2026 | Business & Industry | Finance | Government & Politics | Industrial Policy | Laws | Technology & Innovation (ineteconomics.org)


AI is powered by more than algorithms – underneath is a flawed, decades-old corporate operating system that redirects gains away from workers. The good news: It doesn’t have to be this way. Part of “AI and the Future of the American Worker,” a series on how artificial intelligence is impacting labor, power, and the meaning of work.

Thomas Ferguson isn’t easily surprised. He’s spent decades following the trail of money through America’s economy and political system, exposing patterns people like Jeff Bezos might prefer you didn’t see.

Recently, Ferguson, who directs research at the Institute for New Economic Thinking, was working with colleagues Servaas Storm and Jie Chen on a long-term chart tracing how national income is split between labor and capital – just at a moment when U.S. worker compensation dipped to one of its lowest levels on record.

Something jumped out. He assumed the biggest shifts in worker pay as a share of GDP would show up during the economic mayhem of the 1980s or the China shock after 2002. But there was also an unexpected drop in 1999.

The timing seemed odd. It predates the surge of Chinese imports that many economists later blamed for pressure on American workers. Ferguson figured that trade agreements like NAFTA had to be part of the ill wind blowing towards workers at the time, but still, they seemed unlikely to explain the sharp break he was seeing.

He thought it might be something most people aren’t even aware of — a phenomenon his colleague William Lazonick had been investigating for decades.

1999 happened to be the year stock market valuations went to the moon, peaking in early 2000. It was the bubblicious height of the dot-com boom, when it seemed like the old rules of business had been rewritten. By then, a once-controversial idea had taken over corporate America: that a company’s primary purpose was no longer simply to grow, make things, and create jobs — it was to keep the stock price ticking up and the rewards flowing into the pockets of people who, as a rule, had little to do with the company’s success.

To Ferguson, the timing wasn’t a coincidence. The stock market boom reflected a deeper shift in corporate priorities, one that was cutting off workers from the economy’s gains.

William Lazonick, an economist and business historian known for his critique of what he calls “shareholder value ideology,” argues that this alteration in how American business are run – and for whom — has suppressed wages and made job security a distant memory for most. According to his view, it has also undermined innovation, hollowed out the middle class, increased inequality, and encouraged financial chicanery that ultimately weakened U.S. businesses at their core across whole industries.

Today, the idea that a company’s first duty is to boost its stock price and enrich shareholders can feel like common sense. It’s the water we swim in. But it is anything but that. For much of the postwar era, many Americans would have seen it as a profound betrayal of the corporation’s broader purpose.

To understand why American workers have become more productive while others enjoy the rewards, the shareholder value obsession is a crucial piece of the puzzle. I caught up with Lazonick to talk about how we got here and what’s coming in the next phase.

It turns out that few ideas have had a bigger impact on today’s economy while staying invisible to the people most affected. Even many of capitalism’s fiercest critics underestimate its role, and unless we get serious about reforming corporate governance, Lazonick warns, the AI boom will only supercharge the problem.

Let’s dive in.

A Really Bad Idea Sweeps America

By declaring that making shareholders wealthier comes first, American executives were openly embracing something that many supported but feared to say publicly.

Imagine a hospital chief saying her main goal is to make lenders happy. Or someone running a school saying his principal responsibility is to make money for bondholders. It would sound backwards that the first obligation would be to enrich those seeking returns rather than do the job they’re meant to do.

But wait, corporations are profit-making businesses. Isn’t that different?

Well, not entirely. Not so long ago, people tended to view corporations as public institutions as well as private enterprises. Their duties were thought to extend to serving customers well, treating workers fairly, supporting communities, and contributing their share to society through taxes. The corporation’s charter was a privilege granted by the people, and it came with obligations.

As corporate America expanded in the late 19th and early 20th centuries, the same companies that powered extraordinary growth also stoked fears about whether a small circle of private institutions had grown too influential for the public good. The crash of ‘29, followed by the Great Depression, provided the sobering answer: unchecked corporate power could wreck the whole financial system.

Accordingly, the nation’s expectations of business got a reset. By the time the New Deal, wartime mobilization, and the postwar boom had settled into public consciousness, most Americans accepted that companies should pursue profits, but they had to be responsible to the society and the people whose labor, resources, and trust made those profits possible.

In a famous 1951 article in the Harvard Business Review, Frank Abrams, Chairman of Standard Oil of New Jersey, echoed this perspective.

“None of the great, recognized professions is without a strong sense of responsibility to the community,” he declared, insisting that the management professional was charged to “maintain an equitable and workable balance among the claims of the various directly interested groups.” That included not just stockholders, but “employees, customers, and the public at large.”

Abrams maintained that those with a financial stake in the company were only entitled to profits that were “fair” and “reasonable.” More important was a well-paid workforce — not only valuable beyond what might appear in a “dollars-and-cents valuation in the balance sheet,” but a key measure of corporate success.

Those were not the words of a progressive activist, but from one of the country’s leading corporate honchos.

This view remained the norm for the next several decades, from the GI Bill and the interstate highway system to the Summer of Love and the dawn of the personal computer. Workers shared more fully in the nation’s prosperity as stable jobs and defined-benefit pensions allowed many of our parents and grandparents build solid middle-class lives — and buy those televisions that let them watch the moon landing.

Shareholders earned healthy yields from dividends and, if they sold the shares, stock-price gains. Some got quite rich — but maximizing their wealth wasn’t seen as the company’s main job.

Not everyone was pleased with these arrangements. Free-market economists like Milton Friedman argued that shareholders ought to get more, insisting that they were the ones taking all the risks. This view ignored the workers who risked their time, effort, and livelihoods to make businesses succeed, the communities that built around local industries, and the taxpayers who funded the infrastructure and the research that businesses relied on — the same taxpayers that often absorbed the fallout when they failed.

Shareholders were just people and institutions buying and selling a company’s stock on the open market, like baseball cards, usually with no role in building the business, developing its products, or serving its customers. For decades, the notion that they were the ones most entitled to benefit from a company’s success would have sounded wrong, if not immoral.

But beginning in the 1960s, the tide began to turn. Giant conglomerates bought up dozens — even hundreds — of companies on the questionable theory that good managers could run anything. For example, under Harold Geneen, ITT transformed from a telephone company into a sprawling empire of hotels, insurance companies, and manufacturers. For a while, the strategy looked like a triumph of managerial genius. Until the whole thing began to unravel, and ITT started selling itself off piece by piece.

The implosion of these conglomerates in the ‘70s and ‘80s helped fuel a new critique of corporate America. Managers, critics argued, had become too preoccupied with building empires and not focused enough on boosting shareholder wealth. A new shareholder-focused philosophy was taking shape.

In the 1980s, that philosophy found powerful allies on Wall Street. Aggressive financiers like Michael Milken used risky “junk bonds” to bankroll takeovers, allowing corporate raiders to buy companies, slash jobs, sell off valuable assets, and enrich shareholders by jacking up stock prices – even when these moves weren’t good for the underlying businesses. At the same time, Wall Street itself was shifting away from financing productive enterprises and toward making money from trading and financial engineering — a transformation known as financialization. With the rise of markets like NASDAQ and cheaper stock trading, Wall Street increasingly became more about rewarding speculation. It was starting to look less like a place to build businesses and a whole lot more like a casino.

The Reagan Revolution and the go-go ‘80s pushed the market-first mindset into the mainstream. Corporate America increasingly judged success by what happened on Wall Street, like higher stock prices, bigger deals, and ever-rising returns for people holding shares.

By the mid-eighties, American companies had landed on another powerful way to funnel money to shareholders: open-market stock repurchases, better known as stock buybacks. Rather than investing profits in workers or the business itself, companies could suddenly spend gargantuan sums buying their own shares to artificially inflate the stock price. The executives who authorized those buybacks often knew precisely when the price would jump, and could sell their own stock at the inflated prices. Before 1982, regulators generally frowned upon this activity. But then the SEC reversed course, adopting the controversial Rule 10b-18 and giving companies legal cover to do what had long been treated as a form of market manipulation.

Lazonick and his colleague Ken Jacobson denounce this change as a “license to loot.”

America was rapidly shifting from “stakeholder capitalism” to a model centered on shareholder value. The transformation accelerated into high gear in 1985, when economist Michael Jensen arrived at Harvard Business School with a provocative message that corporate managers were sitting on too much cash and needed to “disgorge” it to shareholders. The word was telling, implying that the money kept inside a company wasn’t fuel for future growth, but cash managers were wrongfully holding on to. The contrarian Jensen, known for his proselytizing passion, insisted that executives had too much freedom to pursue their own priorities and too little pressure to get money moving into shareholder pockets.

In 1990, Jensen and his colleague Kevin Murphy helped popularize stock-based pay for executives, tying their fortunes directly to the company’s share price. Because buybacks, often running into the hundreds of millions or even billions of dollars a year, could push that price higher, they became one of the fastest ways for CEOs to balloon their own wealth. For many, if that meant cutting jobs, holding down wages, shelving critical investments, or dodging taxes, so be it. The incentives were clear: what lifted the stock price lifted the CEO.

The buyback binge turned the corporate treasury into a cash pump for shareholders. Lazonick studied more than 2,000 of America’s largest companies that remained in the S&P 500 from 1981 to 2019, including giants like General Electric, IBM, Pfizer, Intel, Apple, and Walmart. He found that buybacks consumed just 4% of net income in the early 1980s, but over time, they overtook the steadier practice of paying dividends and became the dominant way corporations funneled cash back to shareholders. By the late 2000s, buybacks swallowed 62% of corporate earnings — money that could have gone toward higher wages, stronger benefits, more secure jobs, or investments in the next generation of products and technologies.

Corporate boards embraced the new gospel of maximizing shareholder value because it gave them a simple scorecard in the stock price. CEOs were all for it because it justified ever-fatter stock-based pay packages. Shareholders loved it because it put their interests ahead of everyone else’s. Before long, consultants, lawyers, and business school professors were all singing the same tune. Focusing on stock prices became the way to run a company. Jensen became one of the most influential economists in America, what one Bloomberg writer called “the high priest of the greed-is-good era.”

The 1990s delivered yet another gift to Wall Street. As corporate America decided it didn’t want to foot the bill for traditional pensions, millions of workers were pushed into 401(k) plans, directing their retirement savings to the stock market and turning them into shareholders by default — whether they wanted to be part of the casino or not. But the new shareholder economy was never a fair one. When the buyback boom arrived, the biggest rewards went to those already holding the most stock: CEOs and wealthy households with millions of shares to sell. Unlike dividends, which are distributed to all shareholders, buybacks concentrate their benefits among those positioned to cash in when prices rise, like those executives who often help decide when the buybacks occur.

In effect, workers’ retirement savings helped create the deep pool of money flowing through the stock market, while the biggest benefits accrued to those already sitting at the top. At the same time, buybacks encouraged layoffs, wage restraint, and cuts to critical investment. It should therefore come as no surprise that today’s typical 401(k) balance is a mere fraction of what’s needed for a decent retirement, despite decades feeding the stock market.

In the Wall Street casino, the house always wins.

To sum up: in the new millennium, the idea that corporations should serve anyone besides shareholders got tossed out the window, and working Americans got defenestrated right along with it. The late nineties slowdown in worker pay Ferguson and his colleagues spotted was the predictable result of a new operating system that measured corporate success by the size of shareholders’ wallets. Instead of investing in and rewarding the people who built the business and made it run, corporate leaders fixated on boosting the stock price – often while running their businesses into the ground.

The Price of Putting Shareholders First

As the shareholder value model took hold, executives discovered they could make the stock go up without making the company better — and walk away with a new yacht (or a whole fleet) anyway. For the people designing this system, the beauty was that the costs got dumped on everybody else.

The early 2000s brought an ignominious parade of companies where the Wall Street numbers looked great while the actual business rotted underneath: think Enron, WorldCom, Lucent, and other spectacular blowups. In a 2005 paper, Jensen himself admitted that inflated stock prices can create powerful incentives for executives to manipulate earnings, pursue value-destroying strategies, and even commit fraud.

Unfortunately, the shareholder value machine rolled on. In subsequent years, companies like Motorola, IBM, HP, and Intel may have avoided scandal, but they spent staggering sums doing buybacks while falling behind in the investments that had once made them industry leaders.

“When shareholder value takes over, you want to boost the stock price at all costs,” Lazonick explained. “You get busy grabbing cash for shareholders. You channel corporate profits into dividends and, especially, stock buybacks — sending money out the door to shareholders instead of reinvesting it in the business. You start cutting labor costs. You do layoffs, even if you’re losing valuable expertise and hurting innovation. You steal from your own company.”

The name of the game: extract value to make the rich even richer instead of building for the future of the hard-working people whose labor creates American businesses.

Buybacks exploded between 2003 and 2007, helping to set the stage for the 2008 global financial crisis. Companies briefly retreated on buybacks during the crisis, but since then appetite for them has been insatiable. Over the past decade alone, large U.S. companies have spent trillions on them — money that could have gone toward innovation, employment security, higher wages, or, heaven forbid, paying taxes.

Lazonick and his colleagues have examined a range of companies that poured cash into stock buybacks while their productive capabilities fell apart, including Boeing, IBM, Cisco, Intel, General Electric, General Motors, and Apple.

Take Boeing. From 2013 to early 2019, the company spent about $43 billion on buybacks. Much of that happened while it was profiting nicely from its 737 MAX airplane. Instead of putting more of that money into things like engineers, research, worker training, or new technology, Boeing used a huge chunk of it to boost its stock price. The biggest winners were executives with stock-based pay and people who owned large amounts of shares.

Then came disaster. Two 737 MAX planes crashed in 2018 and 2019, killing 346 people. After the first crash in October 2018, investigations began to uncover serious problems with the aircraft’s design, Boeing’s safety practices, and regulatory oversight. Yet Boeing’s stock price continued climbing, reaching an all-time high on March 1, 2019. The company kept buying back its own shares the following week, until the second crash on March 10 forced the crisis into the open and brought the shareholder value frenzy to an abrupt halt.

Boeing’s reputation took a massive hit, and the company eventually paid billions in costs and penalties. As Lazonick sees it, Boeing’s focus on boosting its stock price had come at the expense of investing in the people and systems needed to build safer airplanes.

By this time, even Jack Welch, the legendary former General Electric chief, was criticizing shareholder value doctrine, calling it “the dumbest idea in the world.

Now comes AI, ready to put the whole ugly system on steroids. Make no mistake: the new technology is getting plugged straight into a machine built to squeeze workers and shovel the gains upward. And it’s already happening.

*Stay tuned for the second part of this article.

Lynn Parramore

  • Senior Research Analyst and Communications Strategist

Lynn Parramore is a cultural historian whose work illuminates the deep interconnections among history, economics, culture, and psychology, revealing how collective narratives and moral assumptions shape economic life and power.

More from INET: 
Article: The AI Boom Runs on an Even More Dangerous Machine (Part 2)

Kentucky Middle School Sends Students Home on First Day of Class With AI-Generated Educational Materials Full of Inexcusable Hallucinations, Including a Map Labeled With “North Dahota” and “Olkchoma”

Joe Wilkins

Mon, August 17, 2026 (Futurism via Yahoo.com)

A garbled AI-generated map of the United States that was handed out to middle school children.
Jefferson County Public Schools / Futurism

Key takeaways powered by Yahoo Scout. Yahoo is using AI to generate key points from this article. This means the info may not always match what’s in the article. Reporting mistakes helps us improve the experience.

Kentucky parents are outraged after discovering that horribly inaccurate educational materials handed out to their middle school students were generated with AI.

According to local station WDRB, students at Farnsley Middle School in Southwest Louisville were sent home with a packet chock full of AI hallucinations on their first day of the school year. The most obvious tell was a map of North America, which contained some jaw dropping misspellings of state names, misplaced cities, and hallucinated territories that don’t actually exist.

Kentucky, for example, was mislabeled “Venecky,” while states like Texas and Louisiana were reimagined as “Taxas” and “Lookoong.” Though South Dakota made it out unscathed, its northern counterpart was branded “North Dahota.” Other notable entries are Arizona and New Mexico, which became “Arizone” and “New Mizone,” while Oklahoma degenerated into “Olkchoma.”

Even when the AI render got its names right, the locations are horribly mangled, in one instance pinpointing Cuba’s capital city of Havana as situated on Mexico’s Yucatan peninsula.

Some states like Michigan and California didn’t merit any names at all, while others are split into imaginary realms. South of Vancouver (spelled “Venneouer”), for example, is the mythical land of “Beehie,” which according to the map shares its borders with Washington state.

“Arizona is Arizone. Illinois starts with a V,” Stacey Morris, a Kentucky mom whose son brought home one of the packets told WDRB. “I mean, it’s crazy.”

Images shared on social media show other parts of the packet with similar problems, like a periodic table of the elements showing Magnesium with an impossible atomic mass of -3.08, and a map of the solar system where Mars has been labeled “Marc.”

“Planetary distance are temporatory earth, equater the elenonts and regnestiom org toed dishligns,” the packet declares, verbatim. “Net to scale.”

A parent discovered that her daughter’s middle school in Kentucky has been having their students use agendas that are ai generated pic.twitter.com/7ToGyTwLFQ

— Michael (@TheMG3D) August 15, 2026

In a statement to WDRB, the school district’s executive officer of communications said they “spoke with the school today about inaccuracies in their agenda, and they are communicating with parents about the issue.” After the discovery, the school admin reportedly emailed teachers about the packet, ultimately advising them to rip out 17 pages of AI-generated material before handing them out to students.

For adults who know better, it might just be another case of silly AI hallucinations. But to present this material to middle school students — who may just be starting to conceptualize the world beyond Kentucky for the first time — is egregious, and the long-term consequences are hard to overstate. While the generative AI tool may have butchered the material, the blame falls squarely on the shoulders of whichever educator hit print without giving the packet even a passing glance.

Last week, we brought you the story of parents homeschooling their kids using AI chatbots to plan lessons and curricula. One parent, the controversial influencer Savannah LaBrant, specifically bragged that she was using ChatGPT to teach her kids “where the states are and how to locate them.”

If this is the quality of material used to educate our kids, it’s no wonder students in the US are performing worse on standardized testing than almost ever before — a metric which is sure to keep plummeting in the years to come.

More on AI and education: Tech Giants Pushing AI Into Schools Is a Huge, Ethically Bankrupt Experiment on Innocent Children That Will Likely End in DisasterView comments(294)

(Contributed by Janet Cornwell, H.W., m.)

AI and the Battle for the Soul with Iain McGilchrist – Lecture 1: Information is Not Understanding

Ralston College Jul 21, 2026 The Ralston College Podcast Generously sponsored by the Ben Delo Foundation. In this opening lecture from Ralston College’s symposium, AI and the Battle for the Soul, Dr Iain McGilchrist traces a line of questions concerning the nature of intelligence, embodiment, wisdom, and the soul in an age increasingly defined by mechanistic thinking and the rise of large language models. Drawing on neuroscience, literature, theology, music, and myth, he explores what it means to understand beyond the constraints of reductionist accounts that view the human being as a computational information processor. In this wide-ranging and dynamic talk, he invites us to consider, as deeply as we can, the essence of our humanity. Recorded at Ralston College in Savannah, Georgia, this event brought together leading thinkers including Jonathan Pageau and Stephen Wolfram for a day-long engagement with some of the most pressing questions facing technological advancement, the meaning crisis, and ultimately, civilization itself. At 23:34, listen to this music, which was appreciated during the live event by Dr McGilchrist:    • J.S. Bach: Ich ruf zu dir, Herr Jesu Chris…   If you would like to support us in this work, please visit ralston.ac/donate. Authors and Works Mentioned in this Episode: E. M. Forster: The Machine Stops Isaiah Berlin Plato David Bohm Ludwig Wittgenstein Gabriel Marcel Homer William Shakespeare: Othello William Ernest Henley: Invictus Nelson Mandela William Wordsworth: Lines Composed a Few Miles Above Tintern Abbey Thomas Tallis Giovanni Pierluigi da Palestrina Tomás Luis de Victoria William Byrd Emil Cioran Johann Sebastian Bach Eugene Gendlin George Gaylord Simpson Galileo Galilei Peter Medawar Niels Bohr Joseph Pieper V. S. Ramachandran D. H. Lawrence Laozi: Tao Te Ching George Steiner Martin Heidegger Hannah Arendt John Milton: Paradise Lost Saint Paul: Epistle to the Ephesians Onondaga Nation Yuval Noah Harari Viktor Frankl: Man’s Search for Meaning – Chapters — 00:00 – Introduction 08:56 – Lecture Begins: What is AI? 13:10 – Propositional Knowledge vs Experiential Knowledge 16:16 – Body vs Soul 19:44 – The Soul 28:07 – The Limitations of Scientific Cognition 32:38 – Wisdom 35:12 – Non-Doing and Surrender 45:00 – Lucifer and 49:49 – Transhumanism 53:23 – Closing Remarks

Can Code Have a Conscience?

Measuring AI, AI Benchmarks
Photo credit: arielrobin / Pixabay

Podcast

Jeff Schechtman 07/24/26 (whowhatwhy.org)

The AI debate is endless. One writer decided to measure it by asking not how smart the machines are, but how humane they are.

Talking about artificial intelligence has become its own industry. AI will save us or doom us. It will cure cancer or end work. Panels, manifestos, congressional hearings, op-eds without end — and through all of it, the machines keep getting better at talking back, and no one can tell you whether the thing you confided in last night was good for you or not.

Our guest on this week’s WhoWhatWhy podcast, Erika Anderson, has stopped arguing and started measuring.

She is an unlikely person to be grading the machines. Not an engineer. A writer — born on a commune, trained in the personal essay, drawn since childhood to the question philosophers have been chewing on for 3,000 years: What does it mean to be human? That question turns out to be the whole ballgame now, and she may be better equipped for it than the people writing the code.

What she built is called HumaneBench. It doesn’t measure whether a chatbot is smart. It measures how the chatbot treats you — your attention, your dignity, your relationships with actual human beings. Eight principles, applied to the thing millions of us now talk to at two in the morning.

Is it early? Yes. Is it crude? Anderson would say so herself — she is disarmingly candid in this conversation about where the whole enterprise could break, invoking everything from Sherry Turkle to Jurassic Park to Heisenberg to explain why measuring a living system is harder than it looks. She has even turned the instrument on her own company and published what came back.

In this conversation Anderson takes on the loneliness economy, the business model that profits from your dependency, what happened when OpenAI retired GPT-4 and users reacted as though someone had died, and the question nobody in Silicon Valley wants pinned down: Where does personal responsibility end and corporate accountability begin?

It’s a start. Someone had to go first.

Podcast: https://whowhatwhy.libsyn.com/can-code-have-a-conscience


Full Text Transcript:

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  • Jeff Schechtman Jeff Schechtman’s career spans movies, radio stations, and podcasts. After spending twenty-five years in the motion picture industry as a producer and executive, he immersed himself in journalism, radio, and, more recently, the world of podcasts. To date, he has conducted over ten thousand interviews with authors, journalists, and thought leaders. Since March 2015, he has produced almost 500 podcasts for WhoWhatWhy.

AI Abundance, Part 5: Meaning Beyond Work 

Posted on July 17, 2026 by Ellen Brown (ellenbrown.com)

Image by ScheerPost.com.

Discussions of artificial intelligence typically begin with the question, What happens when the machines take our jobs? For thousands of years, work has been the means by which we fed our families, earned our place in society, and gave structure to our lives. We have come to equate paid employment with identity.

That presumption may soon be obsolete.

When Elon Musk proposed replacing Universal Basic Income with what he calls a Universal High Income—a level of income sufficient for everyone to live comfortably while intelligent machines produce much of the goods and services society requires—critics warned that people would become lazy. They would stop pursuing college degrees, stop starting businesses, stop inventing, stop contributing. Without jobs, it was argued, life itself would lose meaning and purpose.

Interestingly, humanity’s oldest written history begins with the premise that the purpose of humans is to work. The earliest known writing was impressed into clay tablets in ancient Sumer more than five thousand years ago. The Sumerian Atrahasis tablets tell of sky-deities called Annunaki, cast in modern “ancient architect” scenarios as extraterrestrial engineers. The heavy labor required to maintain life on earth was delegated to junior gods called Igigi, who finally grew weary of the arduous work, laid down their tools and rebelled.

The remedy was to create a new being to carry their burden. This was done by genetic manipulation to upgrade the highest life form found here, creating the human species. Whether we read that as history, allegory, or mythology, its underlying message is that humanity was conceived as a labor force – and human civilization begins with a control system to manage the laborers. 

The first writing was not poetry or philosophy. It was accounting: grain tallies, labor quotas, rations, obligations. Most of the original cuneiform tablets were administrative records. What began as an exchange system evolved into a money system to control work and the workers performing it. For nearly six thousand years, human worth has been measured by our productivity. We deserve food and shelter because we worked for it. 

In many respects, life is still organized around compulsory labor. Writing was devised to organize it. Accounting on clay tablets predated the use of coins, managed by temple priests as intermediaries for the gods. The temple evolved into private banks, with bankers intermediating commerce.

In the 1930s, British economist and philosopher John Maynard Keynes predicted that by the end of the twentieth century, technological advancement would reduce the work-week to just fifteen hours. So why is the forty-hour work week still the norm? It has been argued that our current economic structure uses “busyness” as a form of social containment. By tethering survival to forty hours of corporate or administrative labor, the system ensures that the majority of human creative power is spent serving institutional interests rather than personal or community liberation.

That may be why modern life feels increasingly saturated with what anthropologist David Graeber termed Bullshit Jobs in a book of that name—pointless administrative tasks that serve little social purpose, but that keep people too exhausted to pursue their own interests. He argued that the rise of “fake” work is a political device to keep people from having the free time to organize or rebel. But if artificial intelligence takes over the majority of production, that changes the meaning of work.

From Scarcity to Abundance

For centuries, scarcity shaped human behavior. Scarcity taught people to guard, to compete, to fear loss. But abundance changes the emotional landscape. What happens if we are simply handed what we need to survive? Skeptics say people will stop working and learning, that society will collapse into idleness, that life will lose meaning without jobs. But pilot studies of Universal Basic Income (UBI) programs involving unconditional cash transfers to recipients show otherwise. 

UBI studies from around the world have shown positive results from UBI payments, including higher employment, lower crime, better mental health, higher graduation rates, and little evidence of a retreat from productive activity. Relieved of the constant anxiety of maintaining survival, participants typically pursue education, care for family members, search for better jobs, or start businesses they would not have dared to take on if failure meant destitution. It seems that necessity is not the only mother of invention.  

Granted, the payout in most U.S. studies was a marginal $500 or $600 per month, only enough to provide a safety net for basic food and shelter. Plenty of motivation was left to add income for the finer things in life. Studies of the effects of a Universal High Income of $50,000 or more per year have not been done. But many people who are no longer working for pay, either because they are retired or because they have an inheritance or investments to live on, volunteer their time for socially beneficial causes.

Parents devote extraordinary energy to raising children without receiving a paycheck. Volunteers spend countless hours building community organizations. Amateur musicians practice difficult instruments for years with little expectation of financial reward. Scientists have pursued questions that fascinated them long before the result was likely to be commercially valuable. Thousands of programmers worked without pay to develop Linux open source software, and editors work for free to produce Wikipedia, just for reputation, community and the satisfaction of solving hard problems. These activities are not work for wages, but they are work that is quite meaningful to the people engaged in them.

The Enlightenment: Largely the Legacy of the Leisure Class

The intellectual triumphs of the European Enlightenment—the era that birthed modern science, political liberty, and the social contract—were primarily the domain of a wealthy leisure class, or of talent that was financially backed by institutional support (church, courts, universities) or personal patronage.

Sociologist Thorstein Veblen laid out this thesis in The Theory of the Leisure Class (1899). He argued that scholarly pursuit functioned as a form of “conspicuous leisure”—a way to demonstrate financial strength by engaging in activities that were “unproductive” in the immediate economic sense. To spend decades debating the nature of sovereignty or the movement of the stars required a measure of “unearned increment” or rent extraction. Examples included:

Francis Bacon (1561–1626): As Lord Chancellor and a member of the high nobility, Bacon’s scientific methodology was fueled by the resources of the state and inherited status.

Robert Boyle (1627–1691): The father of modern chemistry was the son of the “Great Earl of Cork,” then the wealthiest man in the British Isles. His work was conducted as a “gentleman scientist” with no need for professional employment.

Antoine Lavoisier (1743–1794): Lavoisier funded the world’s most advanced chemical laboratory through his role as a “Tax Farmer” for the French crown—a position of pure financial extraction.

For those not born into the elite, intellectual survival usually required “aristocratic patronage.” John Locke’s influential work was made possible by his residency and support from the Earl of Shaftesbury, while Thomas Hobbes was a lifelong dependent of the Cavendish family. This system ensured that even “revolutionary” ideas were filtered through the lens of those who benefited most from the existing social hierarchy.

The irony is that the very thinkers who theorized about “universal human rights” and “liberty” did so from a position of security provided by the systems of land-rent and debt-extraction they were analyzing. To create truly universal “liberty” requires a secure income for all.

Non-compulsory Education

For over a century, schools have functioned as labor factories, designed to produce compliant workers for industrial economies. If labor is no longer the center of life, education must change as well. AI already performs memorization and standardized tasks better than humans, relieving us of the need to perfect those skills ourselves. But that does not mean there is nothing left to learn. Studies of “Self-Directed Education” or “Unschooling” suggest that children are biologically wired to learn, and that removing the coercion of traditional schooling leads not to ignorance but to highly motivated, specialized learners. Self-directed education produces young adults who retain their curiosity and creativity, develop emotional intelligence, and pursue mastery for its own sake. 

2013/2014 survey of 75 unschooled adults conducted by educational psychologists Peter Gray and Gina Riley found that 83% went on to some form of higher education. Despite not having a high school diploma, they reported little trouble getting into college, often using portfolios, interviews, or community college credits to bridge the gap. A high percentage of unschoolers pursued careers in the creative arts or became entrepreneurs. The researchers reported that unschooling helped them develop the self-reliance and out-of-the-box thinking required for these fields.

South African study found that while “unschooled” students may have followed non-traditional paths, they often achieved high levels of professional success, particularly in creative and entrepreneurial fields. Intrinsic curiosity replaced extrinsic rewards (grades or job requirements) as the primary driver for learning. 

Research on children who learn to read through unschooling shows wide variance in when they start (anywhere from age 4 to 14), but once they decide they want to read, they often reach grade-level proficiency in a matter of months rather than years because they are personally invested. Proponents argue that traditional schooling actually stifles learning by making it a chore. 

The Sudbury Valley School model (founded in 1968) is a radical form of democratic education based on the belief that children are naturally curious and capable of managing their own learning. In a Sudbury school, there are no grades or required classes. Instead, students of all ages (5–18) mix freely and decide for themselves how to spend their time. Long-term studies of graduates show that they overwhelmingly transition successfully into higher education and careers, often citing the school’s emphasis on responsibility, self-direction, and democratic participation as the primary drivers of their adult success.

Self-directed learning doesn’t require an independent income, but the point is that the drive to learn and to apply that education to useful pursuits is an inherent human trait, in both children and adults. It’s something we want to do and will do, whether or not an employer requires it.

Self-actualization and Maslow’s Hierarchy of Needs

American psychologist Abraham Maslow conceptualized the needs or goals that motivate human behavior in a clinical review in 1943. He argued that once physiological and safety needs are met, humans naturally move toward “Self-actualization” – the realization of personal potential and pursuit of creative activities. In his later years, Maslow added a level above self-actualization called “Self-transcendence”, where people focus on goals outside themselves (altruism, community and caregiving).

That natural evolution can be applied not just to individuals but to civilizations. As AI and robotics free us from the self-centered needs of survival, we can awaken to our larger purposes of collective actualization and harmonious progress.   

Escaping the Welfare Trap

That’s the promise of AI – that it can free up our time so that we can escape the meaningless “busyness” of paid labor and pursue goals more meaningful to ourselves. But the same digital tools have a darker side. Catherine Austin Fitts and other critics warn that AI could become the ultimate “digital panopticon”—a weapon of entrapment by which programmable money and algorithmic surveillance create a modern “golden cage” in which the right to receive “welfare” is tied to political compliance. The UBI thus becomes a tool of coercion.

The same technology, however, offers tools to avoid that trap. Decentralized, neutral identity systems and zero-knowledge proofs allow people to establish that they are unique humans without revealing personal data. Zero-knowledge proofs are a cryptographic method by which one party can prove to another that a statement is true without revealing any additional information. A neutral protocol is one in which the rules are transparent, fixed, and cannot discriminate against specific users. By using “Smart Contracts” on a blockchain, the distribution of UHI becomes automated. The code only checks if the user has a valid, unique identity proof. It cannot check the user’s political party, criminal record or social behavior (unless explicitly part of the code). A government-issued digital currency could also be generated using the privacy-protected, peer-to-peer models of Project Hamilton and the ECASH bill, as detailed in Part 3 of this series.

Those are political decisions, dependent on a democratic system governed by and for the people. Mandating that these tools be incorporated into any government payments system can ensure that UHI remains a right of existence rather than a reward for obedience. 

If AI can handle production, it removes the original justification for compulsory labor. The choice is whether we use AI to automate our enslavement or to finally automate our exit from the Sumerian story, transforming ourselves from a managed labor force into a self-directed, creative civilization.

Rewriting the Human Story 

For six thousand years, humanity has lived inside the Sumerian story: we were created to work for external masters. But AI has brought us to the point where labor no longer must be our master. AI abundance is not the end of work but the beginning of choice, and choice is the beginning of meaning.

Our first choice must be to insist on a democratic government run in the public interest, and a financial system that supports independent endeavor. Freeing humanity from compulsory labor can then provide the freedom for us to develop more fully as human beings.

Some people will create art. Some will teach. Some will explore science, history, biology, or engineering. Some will build communities. Families may simply become more present with each other. For the first time in history, large numbers of people may have the time and stability to ask the deeper questions about the meaning of life and the unique purpose of their own lives.

In the new story that emerges, we can see ourselves not as laborers but as musicians. We can make beautiful music together, but we need the other instruments. An orchestra is beautiful because each instrument contributes its unique voice to a larger harmony. The promise of AI is to free us from compulsory labor so that we can explore our own unique gifts and discover the music only we can play. 

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This article was first posted as an original to ScheerPost.com. Ellen Brown is an attorney, founder of the Public Banking Institute, and author of thirteen books including Web of DebtThe Public Bank Solution, and Banking on the People: Democratizing Money in the Digital Age. Her 600+ blog articles are posted at EllenBrown.com.

AI: Myth Vs. Fact

Published: July 17, 2026 (TheOnion.com)

A recent poll found that Americans who are concerned about artificial intelligence outnumber those who are excited about it by a margin of three to one. The Onion examines the common myths and facts surrounding AI. 

MYTH: AI can never be ethical.

FACT: Grok says it can.

MYTH: AI could discover cures for all diseases.

FACT: AI is going to keep a few of the nastier ones around in case humans get out of line.

MYTH: AI can predict the future.

FACT: That power was only available to Miss Cleo. 

MYTH: I’m going to lose my job to AI.

FACT: We’re still a few years away from AI models that can sell molly to high schoolers.

MYTH: AI is trained on illegally scraped data.

FACT: No data is illegal on stolen land.

Mick Jagger says AI gave the Rolling Stones ‘rubbish’ ideas

By Aidin Vaziri, Staff Writer

July 6, 2026

Gift Article (SFChronicle.com)

The Rolling Stones’ Mick Jagger performs at Levi’s Stadium in Santa Clara, Calif., on July 17, 2024.Scott Strazzante/The Chronicle

Mick Jagger is not ready to hand the Rolling Stones’ creative process to artificial intelligence.

In a new interview with the Sunday Times, the band’s 82-year-old frontman said he once tried using AI to help title the Stones’ 2023 album, “Hackney Diamonds.” It did not go well.

“No one could agree, and I threw all these titles at it, and it came back with such rubbish; it didn’t help me at all,” Jagger said. “I was saying, ‘These are my 12 album titles, give me some more,’ and of course in the end we never used any of them.”

The comments come as the Rolling Stones prepare to release “Foreign Tongues,” the band’s next studio album, on Friday, July 10. The band has already experimented with AI-linked visual effects in the video for “In the Stars,” which features digitally de-aged versions of Jagger, Keith Richards and Ronnie Wood.

That tension places the Stones inside a broader debate over AI’s role in music and the arts. 

Earlier this year, Spotify moved to add verification badges to help distinguish real artist profiles from AI-generated personas, while artists including Grammy-winning producer Jack Antonoff have criticized AI-assisted music-making as a threat to the purpose of creating art.

The issue has particular resonance in the Bay Area, where OpenAI and Anthropic have major operations in San Francisco and Google, which operates Gemini, is headquartered in Mountain View.

Jagger’s view appears more pragmatic than absolutist. He dismissed AI as a writing partner but said it may have some use for artists.

“It can unstick you, and you think, ‘OK, that was rubbish,’ or ‘Mine are loads better than yours,’” Jagger told The Sunday Times. “It gives you confidence.”

Beyond its album release, Jagger told the Argentine newspaper La Nación that the band does not expect to tour this year.

“I’d love to tour this album,” Jagger said. “I hope to tour next year and I hope to do it as soon as possible.”

He sounded less enthusiastic about the residency-style model used by some major acts, including a potential run at the Las Vegas Sphere, saying such runs can make concerts more expensive for fans who have to travel to one city.

“I like to go places,” Jagger said.

In the Sunday Times interview, Jagger, Richards and Wood also discussed making “Foreign Tongues,” the band’s creative momentum in its eighth decade and “Ringing Hollow,” a new song that reflects on the current state of affairs in America.

Richards, a longtime Connecticut resident, described the track as “a nostalgic love affair with America, and (it being) a bit of a disappointment at the moment.”

“Foreign Tongues” follows “Hackney Diamonds,” which gave the Stones a late-career jolt in 2023. The new album was produced by Andrew Watt and includes contributions from Paul McCartney, Robert Smith, Chad Smith and Steve Winwood.

July 6, 2026

Aidin Vaziri

Staff Writer

Aidin Vaziri is a staff writer at The San Francisco Chronicle.