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Sunday, June 07, 2026

Emperor of Iceland, Titan of the Tutu


 June 5, 2026

Ensemble of the Staatsballett Berlin in George Balanchine’s choreography of Georges Bizet’s Symphony in C. Photo: Carlos Quezada.

With a first name that advertises its kinship with marauding Nordic forbears and sporting a rakish diacritic at the start of the patronymic that follows, the pianist Vikingur Ólafsson got a head start on his brand right from the get-go—perhaps at the baptismal font soon after his birth in February of 1984.

That brand now belongs to one of Iceland’s biggest musical exports, though Ólafsson is not exactly right up there with Björk, the wraith-like pop star and actor who has tallied some 40 million global record sales. The pianist’s 2019 album with the lapidary title, Johann Sebastian Bach, has pushed into six-figure territory for CDs and LPs; more impressive still, the total number of streams is reported to be beyond a billion. Ólafsson’s Goldberg Variations followed in 2022 and approached the 100 million mark.

These Bachian offerings take their place in a diverse discography that runs from the baroque past to the minimalist present, from Jean-Philippe Rameau (a couple of years older than Bach) to Philip Glass (at nearly 90, still composing—and thumbing his nose at Donald Trump).

These smartly conceived and scrupulously executed albums are issued on classical music’s most prestigious label, Deutsche Grammophon. Go to that venerable company’s website and you will be treated to a masterclass in hyper-curation. There, the algal-green of Ólafsson’s velvet suit counterpoints with the splendid species of Icelandic moss on which he lies. His collar has been turned up so as to protect his pale neck from the sub-Arctic wind, even though not the slightest breeze appears to ruffle his meticulously coiffed brown hair, as lush as the Nature’s pillow that it touches. Turned onto his shoulder and towards the visitor, he makes bedroom eyes through round, professorial spectacles that want to, but won’t let themselves, glint in the northern-latitude light.

Troll further through the groves and gullies of the Deutsche Grammophon ecosystem and into its upscale habitations and you can eavesdrop and ogle as Ólafsson plays dreamy Schubert, Beethoven, and Bach in remote modernist villas of concrete and glass, their super-stylish interiors accoutered with furniture and objets by the latest Nordic designers. Near a polished black Steinway, the flames in a high-efficiency wood stove dance to the music he exquisitely makes. Among Ólafsson’s many artistic achievements, the most lasting is to have elevated Bach’s music to a lifestyle choice.

I don’t know if the pianist blew into Berlin from his home in Reykjavik for the weekend’s run of three concerts with the Berlin Philharmonic that included his flawless, if somewhat circumspect, performance of Beethoven’s Piano Concerto No. 5—nicknamed “The Emperor”—under the direction of guest conductor Semyon Bychkov. The sobriquet derives from the grandly heroic themes and the work’s rousing mix of contest and cooperation with the orchestral forces. The concert stage becomes both a temple of oratory and a battlefield, and Ólafsson, wearing a bow tie and black velvet jacket highlighted by the trademark colorful kerchief in his breast pocket, imbues the Emperor’s main theme with commanding authority and sallied through the swashbuckling arpeggios, galloping octaves, and dashing double trills with unerring resolve. After completing these various maneuvers—a veritable keyboard decathlon—he would throw up his hands in grand arcs and toss back his head (and with it his excellent hair) in gestures more balletic than martial.

Having impressed, if not exactly conquered, in the three flats of the opening E-flat-major Allegro, Ólafsson drew the packed audience in for an intimate fireside chat in four sharps for the B-major second movement, the piano’s reverie accompanied by muted strings. The key is simultaneously close by yet impossibly far away from that of the outer movements, and Ólafsson would have been happy to stay at its glowing hearth for much longer. But that inevitable half-step slide from a B-natural to a B-flat by the bassoon broke the spell. The finale’s romp was fast, but not furious, more exercise than ecstatic celebration. A solo encore was demanded and delivered—a transcription of Bach’s Air on the G String. This freeze-dried chestnut flaked and crumbled as it was warmed under Ólafsson’s ginger touch. Never has cliché been so fragile.

After the intermission, a far more harrowing heroism followed with Shostakovich’s Fifth Symphony. Whereas Bychkov seemed to be a rather dutiful field officer in the concerto and in Beethoven’s blood-curdling Coriolan Overture that had opened the concert, he rose to, and beyond, the physical and emotional challenges of his older compatriot’s forty-five-minute epic. Premiered in Leningrad in 1937, Shostakovich’s Fifth Symphony marked the composer’s return, if temporarily, to official favor after he had run afoul of state authorities with his notorious opera, Lady Macbeth of the Mtsensk District, three years earlier.

Bychkov fled the Soviet Union in 1974 and emigrated to the United States the next year at the age of twenty-two, but he never left the Russian masterpieces. Conducting from memory, he proved that the European symphonic tradition courses through his veins and through this work, in which Mahler is quoted, Bach-like canons are brandished, Beethoven’s ghost continually appears, and ultimately triumphs in the dauntless fourth-movement finale.

I sat in the benches just behind the orchestra in this hall-in-the-round. From there, Bychkov’s face was front and center, and I could see it contorting and grimacing against Shostakovich’s shifting harmonies, searing dissonances, and blasting brass. Bychkov was wide-eyed at the outbreaks of mischief (as in the third-movement scherzo), stern against the military snap of the snare drum, and mournful in the repose—or is it despair?—at the end of the Largo, before setting his jaw for the concluding call to arms.

The ultimate victory is proclaimed by a mighty gong that had been silent for nearly three-quarters of an hour. Cymbals crashed and the timpani barrage buffeted the massed tutti. Was this fortissimo bombardment a statement of moral principle, artistic aggression, or a strategic calculation according to which the best offense is a good defense? Maybe a musical masterpiece such as this can be all these things at once.

In the immediate aftermath of the Shostakovich storm, silence reigned, but not calm. Red-faced and sweat-drenched, his hands frozen in front of him as if clinging to the vanishing echo of an entire symphony, Bychkov stood, stooped and motionless, ready to expire at the moment of demobilization. But then, after an epic, unwritten fermata obeyed in unison by audience and orchestra, the conductor breathed again and the applause exploded. The septuagenarian maestro mustered a resigned smile and began the ritual acknowledgment of applause and the meting out of honors to the soloists and sections and to the whole orchestral regiment.

After these hyper-heroics on Friday in the Philharmonie, Saturday night brought beauty and transgression from the Staatsballett in a performance at the State Opera House of a canonical work by George Balanchine (another Russian emigrant to the United States), followed by the premiere of a piece by the Berlin company’s artistic director, Christian Spuck.

Prompted by his friend Igor Stravinsky, Balanchine chose Georges Bizet’s four-movement Symphony in C for his authoritative exhibition of ensemble synchronization, inventive and assured partnering, and kaleidoscopic solo virtuosity in which athleticism is transformed into an aesthetic act. The teenage Bizet’s emulation of the Viennese greats of the previous century (Mozart and Haydn) served as the perfect vehicle for Balanchine’s comprehensive neoclassical choreography. The balanced phrasing, profiled succession of motives, larger architectural structures, and facile craftsmanship of Bizet’s essay in emulation allowed Balanchine to put his famous dictum—“See the music, hear the dance”—into dazzling practice when the work debuted in Paris in 1947.

The stringent yet supple style he imposed on his female dancers was no longer to be hidden behind flowing diaphanous garments that extended even below the knee. So, Balanchine, working with his costume designer Barbara Karinska, developed the “powder-puff” tutu that pressed and layered the diaphanous, cloud-like skirt of yore into a sharp vertical axis that horizontally bisected the ballerina’s body, accentuating her torso and exposing the entire length of her legs to full view. The precise movements of the limbs could now be admired by the audience and policed by the imperious ballet genius: regimentation as exaltation. It fell to Sandra Jennings to teach the company this half-hour tour de force and monument of the repertoire. The brilliant revival renounced every trace of ironic distance, even when a crisp chorus line of Balanchine ballerinas bobbed on pointe to Bizet’s coyly retrospective capers.

A foil to such imposing yet appealing formalism came after the intermission in Christian Spuck’s confrontation with American composer John Adams’s orchestral work Fearful Symmetries of 1988. That title had been adopted for the evening’s entire program, but it also spoke to the daunting prospect facing any contemporary choreographer brave or foolish enough to go head-to-head with the great Balanchine.

In contrast to the starched white women’s costumes of Symphony in C, the dancers of Fearful Symmetries wore purples, browns, grays, dark greens and darker reds. These hip-hop hues and the dancers who donned them alternated with a Queen and three courtiers (Jester, Lover, Alchemist) in black. The contemporary was in ever-shifting conversation and sometimes conflict with this quartet, conjured as if from the Elizabethan era. The sovereign’s Renaissance wig of pyramid curls could almost have been a reference to the powder-puff tutu or to the Euclidean angles of Balanchine’s kinetic art. The dialogue staged by Spuck between shifting groups of two and three dancers alternated with solos and still fuller formations and fluxes. The strict angularity of Balanchine’s symphonic structures was reshaped into fluid contours and connections, as Adams’s orchestra chugged along like a 1940s swing band on autopilot, occasionally relaxing into reverie before being wound up and set in motion again. The royal quartet could have represented not only the ancien régime but also the autocrat Balanchine. At the end (of the evening and, apparently, an era encapsulated in just twenty-five minutes), the queen and her entourage were banished from the stage and from history, but the up-to-date dancers kept moving even after the music had ground to a halt and the curtain fell. Maybe they’re dancing still, provocatively asymmetrical, but occasionally in line with an ever-present past.

David Yearsley is a long-time contributor to CounterPunch and the Anderson Valley Advertiser. His latest albums, “In the Cabinet of Wonders” and “Handel’s Organ Banquet” are now available from False Azure Records.



How Music Theory Shaped 19th Century Ideas About Beauty, Visual Art



Carmel Raz |





A Scottish artist and theorist argued that the same principles governing musical harmony also determine beauty in architecture, colour, geometry, and the human form, revealing how music influenced 19th-century theories of aesthetics and perception.


“All art constantly aspires towards the condition of music.” So wrote the Victorian art critic Walter Pater in 1888. Earlier in the century, Scottish artist David Ramsay Hay composed a series of fifteen books published between 1828 and 1856 that attempted to develop a theory of visual beauty from the basic elements of music theory. Anticipating Pater but also fin-de-siècle attempts to unite the arts via spiritual or synesthetic affinities, Hay’s writings mapped colors, shapes, and angles onto familiar musical constructs such as pitches, scales, and chords. While these ideas might appear highly eccentric today, understanding them offers a glimpse of the remarkable importance of music in the Victorian Zeitgeist.

Despite the unabashedly speculative nature of his theories, Hay’s claim to have understood the psychology of beauty profoundly shaped mid-nineteenth-century notions of aesthetics, an influence amplified through his professional activities as a fellow of the Royal Society of Edinburgh and as the official interior designer to Queen Victoria. His books were reissued in multiple editions and translated into both German and French. They gained traction with leading scientists of the time, including Adolf Zeising, John Addington Symonds, and Thomas Laycock. And yet, his ideas remained complex and idiosyncratic.

Hay’s approach to visual aesthetics was equally applicable to architecture, color theory, the ornamental arts, and the human face and figure. It can be understood as a psychological account of beauty, as opposed to other contemporary theories that anchored beauty in notions of the picturesque, the mimetic, or the sublime. Though analogies between music and the fine arts certainly do not originate with Hay, his application of music theory to an extensive array of visual experiences, including color, shapes, figures, and architecture, broke new ground. Rather than locating musical properties in the objects themselves, as earlier thinkers ranging from Plato to Newton had done, Hay worked in the post-Kantian tradition, regarding these features as immanent to our own minds, where they create our experience of beauty by determining the very structure of our perceptions.

Hay defined his project as the development of a science of aesthetics based upon what he called the “great harmonic law of nature which pervades and governs the universe.” He wrote that “there appears to be implanted in the human mind a governing principle of harmony of a mathematical nature, responsive to impressions made upon the organs of sense by certain combinations, motions, and affinities in the elements of matter.”

The fact that we derive pleasure from hearing certain concordant intervals that derive from what is known as the overtone series, for Hay, demonstrates that nature and humanity are governed by the same principles. He takes this further: the physiological affinity between seeing and hearing means that these laws extend not only into music but into the visual world too. After all, he observes, “the eye and the ear are various in their modes of receiving impressions; yet the sensorium is but one, and the mind by which these impressions are perceived and appreciated is also characterised by unity.” Since both sight and hearing are processed by the mind, they should be governed by similar principles.

Throughout his writings, Hay consistently links the claim that a single fundamental law of nature determines aesthetic perception to the work of the philosopher and mathematician Pythagoras. “From the teachings of this great philosopher and his disciples,” Hay writes, “the harmonic law of nature, in which the fundamental principles of beauty are embodied, became so generally understood and universally applied in practice throughout all Greece, that the fragments of their works are still held to be examples of the highest artistic excellence ever attained by mankind.”

Hay ascribes the superiority of ancient Greek artists to their reliance on the Pythagorean system of harmonic numbers, regardless of whether they were designing a building or a vase. And since, Hay argues, the Greeks’ artistic brilliance was the fruit of a psychological phenomenon, it should be possible to combine Pythagorean tenets with an empirical investigation of beauty. Or so he fervently believed.

Hay’s work contains relatively naïve comparisons of various musical concepts (such as scale degrees, chord inversion, and melody) to diverse visual forms (such as geometrical shapes, angles, and color combinations). For example, in The Natural Principles and Analogy of the Harmony of Form (1842), he constructs an analogy between the circle, triangle, and square, and the tonic, mediant, and dominant (the first, third and fifth notes of the scale, which, when played together with the upper octave of the first note, form the most basic kind of chord, the so-called triad). The three geometrical shapes, Hay argues, analogously comprise the fundamental triad of visual beauty. This is all depicted graphically in Hay’s diagram, which incorporates three smaller figures.

In the first of these, at the top of the diagram, the musical triad (with its lowest note, the tonic, C, replicating an octave higher) is matched to a compound figure comprising a number of shapes: a large circle (representing the tonic, the low C), a much smaller triangle centered within that circle (representing the chord’s next note up, the mediant, E), a still smaller square (the dominant, G), and finally, within that square, a second, much smaller circle, representing the upper-octave replication of the tonic, C. Here, the relative sizes of the shapes are determined by the relative pitch heights of the notes they represent: lower notes get larger shapes. The next two figures within the diagram show the two “inversions” of the musical triad: here, the mediant (E) and then the dominant (G) become the lowest sounding note (instead of the tonic note). The geometrical shapes that represent those notes (first a triangle for E, then a square for G) then undergo an analogous “inversion” in space, as their relative positions and sizes change to reflect the changes in the relative pitch heights of the notes.

This use of basic shapes allowed Hay to analyze complex architectural structures in a new way—by breaking them down into their simplest constituent parts. When these basic elements are superimposed onto each other, they form a harmony, and when they are arranged in a series, they form a melody. The resulting harmonies or melodies can then be evaluated according to the simplicity and regularity of their proportions: the more beautiful an object, the more harmonious it will be. To this end, Hay identifies the “most perfectly harmonious production in architecture that exists”: the Parthenon of the Athenian Acropolis. The animation below shows Hay’s diagram of the “melody” of the portico of the Parthenon, set on the hill, which Hay transcribes as the first, third, and fifth notes of a scale.

Hay’s more mature work applied music theory to angles rather than shapes, contours, or colors. In The Science of Beauty, as Developed in Nature and Applied in Art (1856), he begins with a discussion of Pythagorean numerology, which he uses to generate a series of four scales. The proportional relationships involved in these scales map onto the “just intonation” scales, from which Hay derives a categorization of various kinds of angles. These relationships, he claims, are the “simple elements of the science of that harmony which pervades the universe, and by which the various kinds of beauty aesthetically impressed upon the senses of hearing and seeing are governed.” That is to say, Hay attributes the subjective sensation of aesthetic beauty to the effect of certain simple proportions on the senses of hearing and seeing. He then aligns this with a broader notion of cosmic harmony.

This vast systemization reaches new heights when Hay revisits the Parthenon and offers a fresh analysis. Given that all the angles of this edifice can be described as divisions of a 90-degree angle (using the simple factors of 2, 3, 5, 7, and 9 that correspond to 45 degrees, 30 degrees, 18 degrees, 12.85 degrees, and 10 degrees), he maintains that the specific proportions of their angles can be compared to the proportions of the musical scale: the elementary triad of tonic (first in the scale), dominant (fifth) and mediant (third) angles, alongside the subtonic (seventh) and supertonic (second) angles. That is to say, the edifice (as a visual form) and the scale (as a musical construct) are understood as analogous assemblages of harmonious proportions.

Hay then seeks to prove his theorem through the analysis of Greek vases, column ornaments, color arrangements, and idealized faces and figures.

His central conclusion is that nine of the angles governing the portico of the Parthenon also define the angles of the ideal female figure. Tallying measurements of ancient Greek sculptures with the empirical dimensions of six female models employed by the Scottish Academy of the Arts, Hay contends that his results confirm Vitruvius’s assertions that ancient Greek architecture was modeled on the proportions of the human body. Here, the “male gaze” extends from women’s bodies to ancient buildings; both are judged by the very same criteria.

Hay’s attempt to articulate abstract properties of visual aesthetics by using the language of music is not always convincing. Even once his claims are grasped—a tall order even for those initiated into the ways and whiles of music theory—they often appear both bizarre and speculative. All the same, there is something highly appealing in his ideas, something alluring in using music theory to open up new ways of approaching visual forms. The metaphor often attributed to Schelling, that architecture is music frozen in time, can be refracted against Hay’s project: to gaze upon beauty—whether in the form of a building, a vase, a color combination, or the human physique—was, for Hay, to experience the geometrically ordered music of the spheres.

Carmel Raz is an assistant professor of music at Cornell University whose research explores the history of music, cognition, aesthetics, and theories of mind from the 17th through the 19th centuries.

This article was originally published as “Music of the Squares: David Ramsay Hay and the Reinvention of Pythagorean Aesthetics” on the Public Domain Review under a Creative Commons Attribution-ShareAlike 3.0.

Courtesy: Independent Media Institute



Wednesday, June 03, 2026

AI Hacking Is Not the Scariest Part About Anthropic’s Claude Mythos

Allowing AI to build the next generation of AI is like taking our hands off the steering wheel at the same time as we’re slamming the accelerator. If this isn’t a recipe for disaster, what is?



Signage of AI (Artificial Intelligence) is seen during the World Audio Visual Entertainment Summit in Mumbai, India, on May 2, 2025.
(Photo: Indranil Aditya/Middle East Images/AFP via Getty Images)



David Krueger
Jun 03, 2026
Common Dreams

Weeks have passed since Anthropic launched Claude Mythos Preview—artificial intelligence deemed too dangerous for public use. The alarm bells ring even louder today.

US banks are currently rushing to plug holes in their cybersecurity, and for good reason. Mythos Preview can autonomously find and exploit software vulnerabilities that would take human experts weeks or months to discover, leaving no security system safe. The new AI system even found a vulnerability in OpenBSD, which aims to be “the most secure operating system” in the world. This vulnerability went unnoticed by human experts for 27 years.

To quote JPMorganChase’s Jamie Dimon, Mythos Preview represents “very heightened risk”—risk that could affect billions of global consumers. Like most AI “breakthroughs,” this is just the latest and greatest in a series of rapid advances. CrowdStrike already noted an 89 percent increase in attacks by AI-enabled adversaries in 2025. AI is predictably bringing earth-shaking capabilities faster than society can adapt.

That is now. What happens in a few years time, when individual hackers and criminal entities have access to AI more powerful than Mythos Preview?

But AI hacking isn’t the scariest thing about Mythos Preview. Much more significant, and dangerous, is what Anthropic plans to do next: Use Mythos Preview to build the next iteration of AI, and the next, and the next. Anthropic and other frontier AI companies are increasingly using AI to automate research and development of new AI models.

AI may offer tremendous benefits, but how can it possibly be worth the one-in-six chance of doom the average researcher assigns?

Anthropic CEO Dario Amodei calls it the “feedback loop,” whereby “the current generation of AI autonomously builds the next.” Another name for it is recursive self-improvement (RSI). Back in the 1960s, English mathematician I. J. Good predicted that an “ultraintelligent machine could design even better machines.”

Already in 2025, Sam Altman was bragging about having “a larval version of recursive self-improvement” at OpenAI and declared “the takeoff has started.” This January, Jan Leike, former Head of Alignment at OpenAI announced “the recursive self-improvement process has begun” at Anthropic (his current employer), while cautioning, that “alignment is not solved.”

As crazy as it sounds, major developers really are handing over AI coding tasks to AI itself, and are serious about taking humans out of the loop entirely. Meanwhile, brand-new start-ups focused on RSI are reaching multi-billion dollar valuations.

We should of course treat industry claims with some degree of skepticism. But even OpenAI whistleblower Daniel Kokotajlo is expecting self-improvement by the middle of 2027. And academics at top AI conferences are organizing workshops on RSI, a topic that would’ve gotten you laughed out of the room a few years ago.

What comes next? According to Kokotajlo and other experts, RSI could take AI from human-level to vastly super-human within a few months. If you think AI that competes with top government hackers is scary, what about AI that can invent new deadly diseases, or even completely new fields of science?

Self-improvement could also lead to completely new paradigms in AI that render today’s (already limited) guardrails and safety tests obsolete. Remember: All of this would happen without humans in the loop. This is like taking our hands off the steering wheel at the same time as we’re slamming the accelerator. If this isn’t a recipe for disaster, what is?

Earlier this year, I co-authored a study where we interviewed some of the world’s top AI researchers from companies like Anthropic and OpenAI as well as nonprofits and academic institutions like Stanford University. Out of the 25 researchers we interviewed, 20 cited the automation of AI R&D (in other words, RSI) as one of the most severe and urgent risks from AI. And this is all set to unfold outside the public eye: 17 of the 25 said they expect AIs with such capabilities to be reserved for internal use. This was all before the launch of Mythos Preview.

Humanity must be able to control the pace and direction of AI.

AI accelerationists like to call people like me “doomers” for pointing out basic, publicly verifiable facts about the expectations and aspirations of the AI industry. But they are often the ones openly hoping for humanity’s demise. No, really. Last year, xAI fired an employee who called a commenter on social media “selfish” for saying “I would prefer my child to live” rather than be wiped out by AI.

It can be hard to believe that such deranged plans and ideologies are being openly pursued, while governments stand idly by. Behind closed doors, many policymakers and researchers hope for a “warning shot”: A catastrophe big enough to snap us out of this moment of temporary insanity.

Developments like Mythos Preview, and the statements of AI experts provide ample warning, if we give them the attention they deserve. AI may offer tremendous benefits, but how can it possibly be worth the one-in-six chance of doom the average researcher assigns?

The obvious solution is an indefinite, global pause on the creation of more powerful AI systems. This is possible, with national will and international cooperation. Governments could coordinate to systematically “get rid of the compute.” During the Cold War, the US and the Soviet Union worked together to avoid nuclear disaster. Today, the US and China should cooperate to avoid AI disaster.

Humanity must be able to control the pace and direction of AI. Instead of taking our hands off the wheel and accelerating, let’s push the brakes, steer over to the side of the road, and take the time to figure out where we want to go and how to get there.


Our work is licensed under Creative Commons (CC BY-NC-ND 3.0). Feel free to republish and share widely.


David Krueger is an assistant professor in Robust, Reasoning, and Responsible AI at the University of Montreal. He is also the founder of Evitable, a non-profit that educates the public about the risks of artificial intelligence.
Full Bio >

New York Times chief slams AI companies


for 'theft' of intellectual property

The head of The New York Times newspaper launched a scathing attack on artificial intelligence companies, accusing them of "shameless theft of intellectual property" and of threatening journalism. He was speaking at a global media congress on Monday in the southern French city of Marseille.



Issued on: 02/06/2026 - RFI

The publisher of The New York Times, Arthur Gregg Sulzberger, during his speech at the World Media Congress in Marseille, 1 June 2026 © MIGUEL MEDINA / AFP


According to Arthur Gregg Sulzberger, president and publisher of the prestigious The New York Times newspaper, "tech giants strip-mine news websites without permission or compensation."

He was addressing newspaper and news site executives from around the world gathered on the first of a three-day World News Media Congress.

Sulzberger accused artificial intelligence companies' "hijacking of the public square is made possible by the original sin that animates their AI products – a brazen theft of intellectual property that has occurred at an unprecedented scale."

"They reclaim this stolen content as if they were its authors, thus diverting the audience and revenue" of news sites," he declared in a speech that was met with enthusiastic applause.

He added that the news sector "has been too quiet, too passive and too fragmented in the face of abuses by the companies leading the AI revolution."
Fragile business model

While The New York Times a strong presence in the American press with more than 13 million subscribers to its print and digital products, thanks in particular to strong diversification (podcasts, cooking recipes), the United States has lost up to 3,000 newspapers in the last two decades, Sulzberger recalled.

"I fear we are careening toward a future with fewer and fewer journalists to do the expensive, difficult work of original reporting," he said.

Already facing competition from social media, traditional media outlets are seeing their fragile business model put under pressure by chatbots like ChatGPT (OpenAI).

French press take on digital databases to defend journalist copyright against AI

These chatbots respond directly to user requests, thanks to AI models that feed on the internet, particularly press content, consequently reducing traffic to news sites.

Sulzberger, whose company is suing OpenAI, the creator of ChatGPT and Microsoft over the use of copyrighted work, said AI companies are "consolidating their outsize control over our data and our attention" but are "failing to embrace a core responsibility that comes with this power – to ensure the public has access to trustworthy news and information."

The legal battle that has lasted two and a half years and has already cost the thriving American newspaper "more than $20 million" (€17 million) in legal fees.

"AI companies know this: most media outlets don't have the resources to go to court to enforce their rights," he added.
Crucial moment in media history

After the arrival of the internet and social media, "we are once again at a crucial moment in the history of media," Ladina Heimgartner, president of WAN-IFRA and CEO of the Swiss media group Ringier Media, told French news agency AFP.

"We are experiencing an unacceptable loss of value," but we can only "move forward by engaging in dialogue with tech companies," she added.

The tech giant Google, one of the first to reach agreements to pay news publishers for their content, is a partner of the conference, co-organised by CMA Media, the media arm of the French shipping company CMA-CGM.

AI assistants 'not reliable' when it comes to news, major European study finds

Representatives from OpenAI have also been invited. For Jean-Christophe Tortora, CEO of CMA Media, a "new deal between publishers, tech platforms, and the government" is needed to address the threat to the "sustainability" of the press.

"Those who think we can get away with it by each making deals on our own with one or two platforms, that's a short-term bet," he warned, while media outlets and AI players have already concluded compensation agreements.

In France, Apig, a collective body representing nearly 300 French daily newspapers, announced on Monday that it is suing the Californian company Brave, which operates an internet browser and search engine, accusing it of plundering its members' content using artificial intelligence.

(with AFP)


Trump signs order seeking govt access to new AI releases

US President Donald Trump on Tuesday signed an executive order to enable AI developers to voluntarily ​submit their new models for government cybersecurity tests before public release. The order was triggered by concerns over Anthropic's Mythos model, which the company refused to release due to its ability to expose vulnerabilities in computer systems.


Issued on:  03/06/2026 - 
By: FRANCE 24

File photo of US President Donald Trump taken at the White House on May 6, 2026. © Jacquelyn Martin, AP

Trump on Tuesday signed an executive order creating a voluntary framework under which AI developers will share advanced models with the US government before public release.

The central provision allows companies such as OpenAI, Google or Anthropic to give the government access to their most powerful models for up to 30 days before planned release.

The order was triggered by concerns over Anthropic's Mythos model, which the AI start-up has held back from the public due to its ability to expose vulnerabilities in computer systems, including those of banks, governments and hospitals.

The 30-day window represents a compromise. The original draft called for up to 90 days of pre-release government access, while tech companies had pushed to cut that figure to just 14 days.

For OpenAI chief Sam Altman, the executive order "gets the balance right."

"The US should lead on AI by continuing to develop the very best models, making sure they're safe, and getting cyber tools into the hands of trusted defenders," Altman said.

Kent Walker, Google's head of public affairs, called the order an "important step forward" that will ensure "defenders have the AI tools they need to keep America secure."

And Anthropic, which has repeatedly clashed with the Trump administration, called the order "an important step in strengthening America's leadership in AI."

© France 24
01:34


'Unnecessary'


The signing comes after a turbulent few weeks in which the White House appeared close to unveiling the measure, only to pull back abruptly.

According to Politico and other media, David Sacks, the Silicon Valley venture capitalist who served as Trump's AI and crypto czar, called the president to warn that the measure would slow innovation and hurt the United States in its AI race with China – blindsiding White House staff who believed Sacks supported the order.

Sacks wrote on X last week that "unnecessary regulation is the biggest threat to innovation in America," adding that winning the AI race required clearing "bureaucratic hurdles" from state legislatures and "woke" Washington politicians.

The order also instructs the Treasury, the National Security Agency and the CISA cybersecurity agency to form an "AI cybersecurity clearinghouse" in voluntary collaboration with industry and critical infrastructure operators to identify software vulnerabilities and find ways to fix them.

Trump scrapped an AI oversight order from his Democratic predecessor Joe Biden on his first day back in the White House.

Biden's 2023 order required AI companies to share safety test results with the government and leaned heavily on voluntary commitments – already a light-touch approach that fell short of what many experts had called for.

By contrast, the European Union's AI Act – which entered into force in 2024 – sets binding rules for high-risk AI systems, including mandatory transparency requirements and, for the most powerful models, obligations around safety testing and incident reporting.

"This is an important step in the right direction," said Anthony Aguirre, CEO of the Future of Life Institute, which advocates for AI safety.

"Voluntary frameworks are not enough, however" and the government must be empowered "to block the release of systems that pose an unacceptable national security risk," he added.

(FRANCE 24 with AFP)

I wrote that, right? People forget using AI for help, research shows

03.06.2026, 12:53 Uhr

Photo: Philipp von Ditfurth/dpa

People cannot reliably recall whether or not they used artificial intelligence to create a text after as little as one week, according to a new study.

The research, carried out at Germany's University of Bayreuth and Finland's Aalto University in Helsinki, raises the concern that students, employees and authors are likely to unwittingly pass off AI-generated text as their own original writing and ideas.

The study found that asking people to recall AI involvement in content creation after the fact is unlikely to produce accurate results, with the probability of correct recall dropping sharply within seven days.

“Workflows in which human and artificial intelligence were combined were particularly prone to errors — that is, when the idea came from AI but the formulation was done by the human, and vice versa,” said Daniel Buschek, a professor in the field of mobile user interfaces at the University of Bayreuth.

When a person had written up an idea that was originally generated by AI, the probability of correctly remembering how the content came about dropped to 37.7% after seven days.

Conversely, when a person had their own idea written up by an AI, there was a 64% chance of correctly identifying the idea as their own after one week.

Two risks from memory gaps around AI use

Based on these findings, the researchers identified two risks arising from memory gaps in the use of AI:

  1. People may claim AI-generated ideas and writing as their own.
  2. Conversely, people may underestimate their own contribution, incorrectly remembering their own idea as AI-generated.

The researchers say it is therefore unrealistic to rely on a person to recall their use of AI based on memory alone and propose that a more practical approach would be to document the creation of content from the outset.

The study, published in April, involved 184 participants who took part in an experiment in which they were asked to produce texts with or without AI assistance. One week later, they were questioned about the origin of the ideas and the writing of the texts.

GoPro's future at stake after AI boom drives up price of memory chips

03.06.2026, dpa

Photo: Patrick Seeger/dpa

GoPro has warned investors that its survival is in doubt, citing a sharp rise in memory chip prices that has pushed the action camera pioneer to the brink of insolvency.

The California-based firm said at the start of June that it may seek additional financing and agreements with creditors to avoid insolvency. Such a precautionary notice is a mandatory warning to investors in cases of financial difficulty.

Consumers have also felt the cost of AI's rapid expansion, as various countries race to build massive data centres which require RAM and other hardware. The supply shortages have been acutely felt by consumers, with some RAM products doubling in price, while some have even hit four or five times their previous cost.

GoPro had already announced after the first quarter that memory chip prices had more than doubled for the company in some cases.

The rapid build-out of vast data centres for artificial intelligence is driving up prices for semiconductor products such as memory chips sharply across the industry. Other electronics companies are also feeling the pressure.

For GoPro, however, the additional burden comes on top of an already weakening business. In the last quarter, revenue fell by just over a quarter year on year, and the company recorded a net loss of just under $81 million.

GoPro is a pioneer in the action camera market, making devices popular with athletes and adventurers — including snowboarders, surfers and cyclists. In recent years, however, the company has faced increasing competition from brands like DJI and Insta360.



Microsoft launches its own AI models to take on OpenAI and Anthropic

FILE - Microsoft co-founder and former CEO Bill Gates speaks during a 50th Anniversary celebration event at Microsoft headquarters on April 4, 2025.
Copyright AP Photo

By Una Hajdari
Published on

Seven in-house models unveiled at Build 2026 signal Microsoft's push to cut costs and compete directly on the AI frontier as its biggest investees plan to launch record-breaking IPOs.

Microsoft has unveiled a family of seven in-house AI models at its annual Build developer conference in San Francisco, in the clearest sign yet that the tech giant is moving to reduce its dependence on the AI companies it has poured billions into.

Mustafa Suleyman, Microsoft AI chief executive, said that after tuning its models for consulting firm McKinsey, the company outperformed OpenAI's GPT-5.5 on quality — with what it projects as ten times better cost efficiency, based on public pricing data scaled across model sizes.

"We believe the time has come for every company to move from consuming a frontier model to fully participating at the frontier," said chief executive Satya Nadella at the conference.

The headline release is MAI-Thinking-1, Microsoft's first reasoning model, trained from scratch on clean, commercially licensed data without distillation from third-party systems.

A mid-sized model with 35 billion active parameters and a 256,000-token context window, it is designed for complex multi-step instructions, long-context reasoning and code generation.

Alongside it, the company launched MAI-Code-1-Flash, a coding model that converts text descriptions into source code for applications and websites, now rolling out across GitHub Copilot and Visual Studio Code.

By running its own models on Azure infrastructure, Microsoft can sidestep the fees it currently pays to third-party providers — and pass the savings to developers.

According to Microsoft, in blind evaluations run by Surge, its independent human rating partner, MAI-Thinking-1 was preferred over Anthropic's Claude Sonnet 4.6, and the company says it matches Claude Opus 4.6 on coding benchmarks.

Quantum leap

Also at Build, Microsoft announced that its Majorana 2 quantum chip is 1,000 times more reliable than its predecessor — a milestone the company said brings it within striking distance of a commercially useful quantum computer.

Qubits, the fundamental unit of quantum computing, are notoriously fragile: even minor temperature shifts or vibrations can knock them off course. The Majorana 2 chip addresses this directly.

Qubits on the new chip survive for an average of 20 seconds, compared to milliseconds on the original, an improvement the company likened to upgrading from a phone that needs daily charging to one that lasts several years.

"We will have a quantum machine in 2029 that can solve commercially viable, reasonable problems," said Zulfi Alam, corporate vice president of Microsoft Quantum. The chip currently has just 12 qubits, while a useful machine would require millions.

Microsoft's approach centres on so-called topological qubits, based on the properties of a quasi-particle first theorised in the 1930s by Italian physicist Ettore Majorana.

The path has not been smooth — the company was forced to retract a 2018 paper in the journal Nature claiming evidence for the particle — but it has pressed on, and the second-generation chip improves on the first partly by replacing aluminium with lead as a superconductor.

The chip and its supporting research have not yet been peer reviewed, and some physicists have called for more information.

IPO race heats up

Microsoft's push for model independence comes as the companies it has committed billions to prepare for blockbuster stock market debuts.

Anthropic, the AI lab behind Claude, filed confidentially for an initial public offering on 1 June, just days after raising $65 billion (€59bn) in a Series H funding round that pushed its valuation to $965 billion (€877bn). OpenAI is also readying its own confidential filing.

Microsoft has committed $13 billion (€11.8bn) to OpenAI and invested up to $5 billion (€4.5bn) in Anthropic, while making both companies' models available through Azure.



How Stone Tools, Fire, And Language Paved The Highway To Artificial Intelligence – Analysis




June 3, 2026 

By Deborah Barsky

Each leap in human communication—from vocal anatomy to writing to digital networks—followed the same pattern: faster, more complex, less individual.

Many people are overwhelmed by the fast-paced evolution of mass communication in a world increasingly shaped by the internet and artificial intelligence (AI). Yet ideas have not always circulated across the globe at lightning speed.

Looking into deep time allows us to view our current mode of existence from a broader perspective and to discern patterns of change that may offer insights into our species’ possible trajectories in the future. We can begin by trying to identify the conditions under which humans developed complex symbolic communication, which is considered unique in the animal kingdom. Today, we have succeeded in transposing incredibly complex digital languages, beyond the grasp of the human mind, into computerized systems capable of processing, storing, and sharing all kinds of information with the push of a button or a click of a mouse.

Human language is at the root of this system. While hardly perceptible in the archeological record, hominin physiognomy assessed from the fossil record allows us to observe that the capacity to vocalize across a significant range dates back to a very early time period. Physical features linked to resonance complexity and articular precision, like the low positioning of the larynx, an enlarged pharyngeal cavity, and a flexible tongue housed in an ample palate, were already part of the human anatomy by the time Homo erectus emerged in Africa nearly 2 million years ago.


Somatic harmonization, necessary for speech production, is ensured by the tiny and crucial hyoid bone, a floating anchor for the muscles controlling the tongue, throat, and voice box as they work together to regulate sounds emitted during speech. Paleoanthropologists studying the position, geometry, and internal structure of Neanderthal hyoids discovered in archeological sites found them to be nearly identical to those of anatomically modern humans, suggesting that they were already capable of emitting a similarly sophisticated range of sounds. Evidence from Spain also reveals that modern hyoid morphology was present by at least 530,000 years ago, indicating that it could be a derived characteristic shared by modern humans and pre-Neandertals, which they inherited from their last common ancestor.

The ability to emit a wide range of vocalizations characteristic of modern human language did not appear abruptly, but rather, was favored over millennia by interrelated adaptive elections taking place under the evolutionary orchestration of both natural selection and techno selection. As early as around 7 million years ago, some early primates displayed several craniofacial modifications believed to have evolved, at least in part, to accommodate bipedal locomotion. These included features such as reduced prognathism, more gracile jawbones with smaller teeth, and a restructured skull base, all of which subsequently facilitated the anatomical tweaks necessary to increase the human capacity to pronounce a wide range of sounds.

By the time hominins began systematically making stone tools some 2.6 million years ago, a series of changes in the archeological record reflected the significance of this adaptive strategy. Around 1.75 million years ago in Africa, these (Oldowan) assemblages were progressively replaced by Acheulian industries comprising tools with wider technological and morphological variability, including skillfully manufactured and (esthetically pleasing) premeditated forms, like spheres and symmetrical pointed tools called handaxes, which required high degrees of dexterity to make.

Observing synapses activated during experimental tool replication has shown that the cognitive processes involved in passing on the skills necessary to make such tools are linked to those activated by language. Furthermore, evidence from ancient DNA analysis suggests that regulatory genetic variants favoring language-producing abilities underwent long-term evolutionary selection in hominin populations, with some of these features predating the divergence of modern humans and Neanderthals.

Fully embracing the advantages offered by their newfound technological proficiency, Acheulian hominins benefited from access to the choicest morsels of meat and viscera to feed their developing brains. They experienced unprecedented demographic expansion and assembled into more complex group settings sheltering numerous individuals. Eventually wielding fire, Acheulian populations spread into new lands within and beyond Africa, utilizing their rapidly developing technologies to confront diverse environmental and social challenges.


Some archeologists have described this process as a biocultural feedback loop, in which unprecedented cerebral growth (supported by higher protein intake) was linked to toolmaking. This process was catalyzed by increasing social complexity, reinforced by the development of culture, and favored the selection of symbolic communication. Language—the preponderant expression of symbolic transmission—initially developed as a survival-related response to effectively transmit technological competence, and ultimately became a means to express multifaceted cultural norms developed to promote social proficiency.

There is no doubt that culture evolves; that it was/is transmitted socially through learning processes that have been intricately developed over time and now extend well past adolescence and, in some cases, beyond the optimal reproductive age for women. Culture is inherently cumulative: it is an aggregate of past human experiences, errors, discoveries, adaptations, and rectifications to deduce scientific and philosophical insights about the universe—and our place in it. Symbolic communication, expressed as language and writing, and later also as art and music, reinforces cumulative culture by allowing us to express, preserve, and share knowledge beyond time constraints.

The story of technological evolution following the emergence of the Acheulian reveals two major forces that still operate today: acceleration and complexification. By the end of the Acheulian and into the Middle Paleolithic period and beyond, technological and (linked) social achievements accumulated exponentially, widening the baseline upon which hugely transformative accomplishments emerged. At the same time, populations multiplied, creating interrelational networks that favored reproductive, material, and cultural exchanges.


I have proposed defining this phenomenon as a fractalization process, insofar as each branch replicates the underlying evolutionary patterns, overcoming the constraints of its ancestral source while retaining the full spectrum of human cognitive expression. In this model (that is comparable to biological natural selection), small variations or adjustments can lead to exponentially magnified outcomes through recursive and effectively infinite cycles of reproduction.

By the time our own species came on the scene more than 200,000 years ago, culture had flourished into symbolic material expressions, inexorably linked to the technological and social realities of past human lives. Fire, for example, provided ample fodder for experimenting with the power of transforming existing materials, enabling new capacities during the Neolithic and Metal Ages, with successive discoveries, such as pottery and, eventually, glass and metallurgy, transmuting and enabling new societal paradigms.

Following the shift from hunter-gatherer to production-based lifeways, technological complexity split individual role-playing into distinct occupations, sharpening perceptions about (imagined) interpersonal “value” within social settings. As populations swelled and collective living arrangements expanded, these systems became structured around complex symbolic interactions, material cultures, territorial identities, and hierarchies constructed to sustain group cohesion. Importantly, social organization came to rely upon artificially constructed (symbolic) notions that led regionally assembled groups to contrast their ideas of communal belonging (identity) with those existing in neighboring territories. As competition for land and resources increased, these contrasting symbolic realities became a justification for (sometimes violent) interpopulation conflicts.


Communication networks grew increasingly complex alongside expanding production and territorial markets, accelerating the spread of cultural and material exchanges. Protohistoric societies developed early writing systems based on symbolic signs used as mnemonic strategies to represent ideas and objects. Emerging independently in regions such as Mesopotamia, Egypt, Central America, and China, these systems gradually evolved from pictorial symbols into stylized phonetic and logographic writing largely detached from their original visual meanings.

Throughout human experience, learning has been central to survival, with scientific and behavioral complexification acting as a driving force to develop sophisticated new ways to educate, demonstrate, and train each successive generation to become effective agents of our seemingly unstoppable technological proficiency. Presently, ideas move instantaneously across space and time through global communication networks. Digital platforms make information accessible worldwide, shrinking distances and connecting populations, while promoting mass media and consumer culture. Often shaped by corporate interests that influence production, consumption, and resource distribution in a world driven by digital images and symbolic messaging, global connectivity has become the force shaping human thought and social organization.

Uniformity is increasingly becoming a defining characteristic of human life shaped by digital communication. Despite the technological sophistication of the systems that mediate and transmit human thought, we are adopting simpler forms of communication, homogenizing language, and gradually adapting our patterns of thinking to fit the digital platforms used to express them. The next stage of human evolution involving the merging of human intelligence with AI may already be here. As we become increasingly dependent on computerized tools to function within contemporary social environments, the ability to communicate effectively through digital means is emerging as a fundamental requirement.

At the end of the 1980s, screenwriter Maurice Hurley and the creators of Star Trek showed remarkable foresight in creating the Borg: fictional cybernetic organisms linked through a single collective consciousness in which thoughts and actions are shared and controlled by a powerful centralized computer system. In this dystopian vision of the future, the Borg’s main purpose is to assimilate other species in pursuit of greater knowledge, efficiency, and power. Once assimilated, subjects lose their individuality and become linked to the Collective (or hive mind).

As humanity moves toward a predicted state of post-humanism (human-machine hybridization) and the boundaries between human cognition and machine intelligence become increasingly blurred, it is worth asking whether this vision already mirrors some aspects of our own interconnected and technology-mediated world.

Author Bio:
 Deborah Barsky is a writing fellow for the Human Bridges, a researcher at the Catalan Institute of Human Paleoecology and Social Evolution, and an associate professor at the Rovira i Virgili University in Tarragona, Spain, with the Open University of Catalonia (UOC). She is the author of Human Prehistory: Exploring the Past to Understand the Future(Cambridge University Press, 2022).

Credit Line: This article was produced by Human Bridges.

Disarm Artificial Intelligence

June 3, 2026

Prometheus was the Titan god who gave the fire of knowledge, intelligence, technology and civilization to the Greeks. Painting courtesy of Evi Sarantea. The painting is depicting the head of Prometheus, shining fire and light. Zeus sent an eagle to eat the liver of the deathless god to punish him for helping his Greek grandchildren. Right eye from statue and left representing the eye of a living man, thus showing the intimate connection of Prometheus with the Greeks. The falling drops represent the ceaseless influence of Prometheus, including perhaps the invention of Artificial Intelligence among the ancient Greeks.


Prologue

Artificial Intelligence (AI) is an extremely interesting, if dangerous, technological, economic and political issue. The Greeks of Homer’s age, some 3,500 years ago, had imagined and probably employed some form of very advanced AI. Homer reports that Zeus informed Hermes that Odysseus would return home to Ithaca. And indeed he did. The Phaiakians of the island of Phaiakia / Kerkyra, Homer says, were like gods. They had extremely advanced technologies. Their ships, for example, sailed without pilots or necessarily the energy of the wind. Yet the ship that ferried Odysseus had crew and oars, too. Such a dream boat carried Odysseus and the bronze and gold gifts, including bread and red wine, the Phaiakians gave him and sent him to his beloved home, the island of Ithaca. Once on board, “Odysseus, who had a mind like the gods and, besides, had endured wars and the bitter sea, fell into deep sleep…. The swift ship run fast through the waves that even a falcon, lord of the skies, could have matched its speed” (Odyssey 5.37-44; 13.57-92).

Stephanos Paipetis, who was professor of mechanical engineering at the University of Patras, Greece, examined the technology in Homer and concluded that the god of metallurgy, Hephaistos, was a perfect scientist and engineer and metallurgist. He built the Shield of Achilles with advanced knowledge and technology of metals and materials. In other words, Hephaistos “possessed deep knowledge of the dynamic mechanical properties of laminated composite structures.” The ship of the Phaiakians that carried Odysseus from Phaiakia (Kerkyra) to Ithaca, Paipetis says, was powered by artificial intelligence.

As I said, the technology of AI is about 3,500 years old. Most of that time, AI has been dormant, only to resurface during the 20th century.

AI in Greece

A Greek scientist and engineer, Ioannes Kontos, retired professor of Artificial Intelligence at the University of Athens, published (in English, in 2015, and in Greek, in 2017) a comprehensive guide of the scientific and logical thought that helped humans invent and create AI, especially in Greece. His book, Artificial Intelligence and its Applications in Greece, is outstanding. It reads well and narrates how trained engineers bring AI systems into being. It’s a step-by-step construction of AI systems. The book mirrors deep knowledge of advanced technology, moderation (σωφροσύνη) and practical wisdom (φρόνησης). It is a global overview of the rise of this polemical technology funded by militaries and plutocrats that privatize it for profit and protection. But the AI vision of the Greek professor Kontos is far from the hegemonic ambition and policies of the US plutocrats. He would like to see Greece start inventing, producing and employing advanced technologies, some of which materialize AI products that potentially and in fact benefit the public good. He admits, however, only modest success for AI products manufactured by Greek companies in the last 50 years. But he explains an AI system of questions and answers he and his colleagues invented. He calls it AMYNTAS (Automatic Meta gnostic Ypologistikon [calculating[ Trainable Answering System).

Kontos, with little doubt, the preeminent Greek expert on AI, taught AI for about 40 years. He is both an engineer, an inventor, and a scholar. He investigated Greek history from the beginnings of this technology. He studied the science of vision and its application on the Parthenon. Then he turned to Aristotle, the greatest philosopher of all time, who invented the sciences of zoology, meteorology, and logic. There would have been no AI without understanding the science of logic. Next, Kontos examined the toothed-geared technology of the genius of the Antikythera Mechanism. That astronomical computer or Meteoroskopeion was designed and built in the island of Rhodes in the second century BCE. It was about 2,000 years ahead of its time. The Antikythera astronomical computer led him to Hero of Alexandria, a polymath philosopher and engineer who flourished in the late first century BCE and the beginning of the first century of our era. Hero built automated machines, including a model of the first steam engine. Kontos hopes his book will inspire Greeks that a better future is possible. He wants his book to be read widely by students, executives of Greek companies, and Greek citizens. His message is that it is possible to build advanced technologies in Greece, where scientists and engineers will be paid high salaries. He does not want Greece to become a low-salaried workforce for rich investors. He is definitely against data centers in Greece. He is right. The country cannot afford the vast amounts of electricity and millions of gallons of water to keep data centers operating.

Kontos is also correct on Greek students. Greek university students receive a remarkably excellent education, especially in math and engineering. In addition, Greek students have grasped the idea of the good and the beautiful, ethical virtues ingrained in their knowledge and behavior. This prepares them to face and resolve difficult technological and moral problems. It is this asset of skills and virtues that gives substance to the hopes of Kontos, that, in fact, Greeks can disarm AI: making new and useful AI products rather than products of war and technologies of unemployment, hazardous farming practices, deception, propaganda and danger. This challenge is immense.

Kontos is right saying that nothing can be done if the emigration of well-educated Greek students continues. Not only that practice must cease by offering those students a satisfying alternative in their country. But the Greek government must soon discover it should serve Greece rather than foreign powers. It should fund/create opportunities for the development and growth of AI industries for the public good in Greece. The need for “moral” AI serving the good and the beautiful is exponential.

The hazardous nature of AI

Yet I find it difficult to point to an AI product which serves the public good. Certainly this may reflect simply my limited knowledge of AI. But my hopes are merely hopes that perhaps a moral engineer might design one or more AI applications that serve the public good. The project of Kontos, AMYNTAS, question and answering system, may just do that. He is also proposing to use AI for checking the credibility of election results.

Kontos doubts that engineers can give machines consciousness. He said that computer programmers often underestimate the gigantic complexity of AI, thus writing programs that threaten energy grids, air traffic control, satellites, nuclear power plants and automobile and train safety.

I live in the US, which, along with the European Union and possibly China, Russia, India, and several other countries, is flooded with problematic, hazardous, and unnecessary AI products. For example, robots are becoming fashionable for making coffee to doing housework. If coffee shops and restaurants buy coffee robots, what happens to the waiters/workers who make coffee? AI companies are now employing human trainers / AI pilots of “an army of humanoid robots.” Meanwhile, AI companies are planning to produce “a swarm of American-built robots” for the local and international market.

Coffee-serving humanoid robots would repel me. I prefer seeing and possibly talking to beautiful waitresses. I definitely would not visit coffee shops with robots. But these coffee humanoid robots highlight the vision of their makers. They don’t like our world, especially workers who they keep firing; they want to dominate our beautiful Earth, the only star in the universe, which is alive with millions of forms of life, circling the Sun god Helios, which the Greeks worshipped for the light and life the Sun made possible. The AI plutocrats want to eliminate most of the human nature of the world we know. They want to replace it with machines and humanoid robots – hence the AI danger. I don’t want to be forced into their iron dark age.

The AI danger is so widespread that Pope Leo XIV intervened to remind Christian Americans, and “men and women of good will” the world over, they ought to rethink and resist AI. On May 2026, Pope Leo XIV issued his Encyclical Letter, Magnifica Humanitas / Magnificent Humanity. This was a warning on the existential threats of Artificial Intelligence.

Pope Leo said we don’t want AI to recreate the “Babel syndrome, namely the idolatry of profit that sacrifices the weak, a uniformity that neutralizes differences, and the pretense that a single language — even a digital one — can translate everything, including the mystery of the person, into data and performance. The risk of dehumanization — of building a future that excludes God and reduces the other to a means — is an ancient and ever-new temptation that today takes on a technical guise”

“Today,” the Pope continues, “the human desire for fullness of life is at risk of being misled by deceitful goals, such as the prospect of a technology [AI] that promises to free us from all weakness, and models of wellbeing that leave behind entire populations…. In the era of artificial intelligence, when human dignity is threatened by new forms of dehumanization, ours is the pressing duty to remain profoundly human…. I ask everyone to abandon the construction of yet another Tower of Babel and to join forces in building up the common good, so that humanity will never lose its beauty…. [However, efficiency] has spread rapidly in recent years, fueled in part by the expansion of artificial intelligence, cognitive science, nanotechnology, robotics and biotechnology.”

Then the Platonic prose of the Pope turned to the plutocrats in charge of AI. “When such power is concentrated in the hands of a few,” he warned, “it tends to become opaque and evade public oversight, increasing the risk of distorted forms of development that give rise to new dependencies, exclusions, manipulations and inequalities.”

Pope Leo is right. These inequalities are extremely unsettling. They undermine and almost erase democracy.

Philanthropy or misanthropy?

The plutocrats understand they are adding French Revolutionary fervor in America, especially among the thousands upon thousands of workers they have been firing. But instead of spreading their immense wealth to ameliorate poverty, they are repeating the gimmicks of the plutocrats of the past. They embrace “foundations” in order to bribe professors and journalists to sing their AI song. Foundations dish out small or large amounts of cash, buying tenuous legitimacy for hazardous AI. In 2026, the AI plutocrats are suggesting they are ready to distribute large sums.

Philanthropy,” says David Walacce-Wells, opinion writer for the New York Times, “used to be one way that plutocrats persuaded the public of the virtue of wealth and the value of business. These days [in 2026], it seems just as likely to inspire backlash — seen by an increasingly skeptical public as an end run around not just taxation but civil society and public oversight, too.”

True, seeing members of the “overclass of philanthropists… parachuting” in the midst of hard-working and increasingly unemployed Americans and Europeans may be more than problematic, nay, unacceptable. People will have trouble identifying the new philanthropists holding the flag “of the A.I. boom, about which Americans are already — and increasingly — anxious and resentful.” No doubt about that. Most Americans understand AI is harming their children, including college students. They resent all those mega “data centers” sucking their precious fresh water, while raising the prices they pay for electricity. They also hear about the militarization of the technology killing people faster and more “efficiently.” With these thoughts in mind, why should they take seriously AI “non-profits” dolling out money? Certainly, that money could not be destined for the public good. Would you trust mafia funding a school, public library, philanthropy? Who would believe that AI funding was possibly designed to thank society for licensing it to harm society?

Human intelligence

No wonder Pope Leo XIV promised himself to remember a few virtues that safeguard “the primacy of the human person, in order to ensure that it will always be human intelligence, with its conscience and freedom, that guides technical innovations and responsibly determines their use and limits.”

The Pope’s Platonic moral vision helped him to define AI technologies as mechanical: immune to human intelligence shaped by the virtues of feelings, love, anger, beauty, justice and the idea of the good, Plato’s highest virtue, which brings to life moderation (σωφροσύνη) and practical wisdom (φρόνησης). No wonder the Pope defined AI the way it really is: a soulless mechanical monster bereft of morality and intelligence, constantly fed data. Its “speech” and computing may sound logical, but they are not. They are thoughtless if often coherent and statistical machine speech and calculations that may or may not follow the human information, stories, math and human programming. The automatic voice you hear reading an article on the computer resembles human voice, but it is not. It’s a metallic voice without feelings.

Pope Leo wrote:

“So-called artificial intelligences do not undergo experiences, do not possess a body, do not feel joy or pain, do not mature through relationships and do not know from within what love, work, friendship or responsibility mean. Nor do they have a moral conscience, since they do not judge good and evil, grasp the ultimate meaning of situations, or bear responsibility for consequences. They may imitate language, behavior and analytical skills, or even simulate empathy and understanding, but they do not understand what they produce, for they lack the affective, relational and spiritual perspective through which human beings grow in wisdom. Even when these tools are described as capable of “learning,” their way of doing so is different from that of a human person. It is not the experience of those who allow themselves to be shaped by life and grow over time through choices, mistakes, forgiveness and fidelity. Rather, it is a form of statistical adaptation based on data and feedback, which can be very effective, but does not imply inner growth.”

Existential threats

On June 2, 2026, I listened to a CNN report that confirmed and summarized the Pope’s AI message. The messenger of bad news was Tristan Harris, a former Google AI executive who quit his job because he discovered that the Google executives did not have the public good in mind. In 2019, he warned that AI systems were harmful. “No one wants to contribute to a system,” he said, “in which children have poor mental health. No one wants to contribute to a system where you destabilize democracies or cause genocides across the world.” On June 2, 2026, Harris was equally certain that AI posed existential threats and dangers. In his CNN interview, he warned that AI was against democracy and humanity. Tech executives compare human lives and the energy costs required to keep those humans alive. He castigated the undemocratic politics of less than a dozen unelected businessmen gambling with the Earth and civilization, funding an arms race that affects more than eight billion humans. They feed social media, which use algorithms that disturb the mental health of millions. AI, Harris warned, speeds up these serious harmful effects. The dream or nightmare of having AI cure diseases blinds both tech executives and politicians.

 

Epilogue

A Greek professor, Ioannes Kontos, described the Greek origins of AI, especially from the foundation of science and logic by the fourth century BCE philosopher Aristotle. Kontos is Aristotelean. That’s why he feels so comfortable with the awesome complexities of AI. He mastered the science, logic and organization of that system. He knows it backwards and forwards. Reading his book is entering logic and advanced technology: doing things carefully, logically and methodically. The machine obeys straightforward instructions.

Kontos also investigated AI in modern Greece. The results were disappointing primarily because the Greek government serves American and other foreign interests. It did not invest in the technology, and neither did it have a prominent vision of Greece in advanced technologies. Kontos expressed concern for the misuse of AI, but he, too, advocates its war applications. The explanation is Turkey, a genocidal neighbor of Greece that still threatens it.

By 2026, AI has become a global, though extremely controversial and dangerous technology. It has become a weapon of war primarily. It guides drones, missiles and other weapons of war in their lethal trajectories. Moreover, AI may be used in the management of nuclear weapons, an extremely dangerous and existential operation. But AI also claims human skills and knowledge (talking, translation, medical diagnosis, text reading and extraction of facts from the text, and doing rapid research) that may or may not be accurate. There are other uses of AI in face recognition and recreation of human voice and behavior that are employed not for the public good but for spying and the psychological exploitation of human beings. AI in iPhones and computers may also have deceptive, delusional, sycophantic and other adverse effects on the users of those devices. The plutocrat owners of AI are trying to create a mechanical human being, which would largely replace more than workers. This has existential, political, moral and other monstrous effects on civilization and the planet. This is why Pope Leo XIV rightly denounced AI and its billionaire owners.

In contrast to this corrupt factory of AI, Greece has a history, ancient virtues, and civilization to reawaken the very advanced version of AI, which was entirely devoted to public good. To bring the Phaiakian and Homeric version of AI to life, Greece has to also return to the virtues of the Homeric Age: freedom, intelligence, moderation, practical wisdom, justice and the Platonic idea of the good and the beautiful.

Both Alexander the Great and the first president of modern Greece, Ioannes Kapodistrias, dreamed of a Sacred Hellas, an independent, neutral Greece devoted entirely to the virtues of justice, freedom, science and the good and the beautiful, a school of civilization for America, Europe and all humanity. Today’s great powers, US, the European Union, Russia, China and India, should guarantee a Sacred Hellas. For their own benefit, that of civilization and that of our Mother Earth. Sacred Hellas can come into being. It should.

Evaggelos Vallianatos, Ph.D., is a historian and ecological-political theorist. He studied zoology and history, Greek and European, at the University of Illinois and Wisconsin. He did postdoctoral studies in the history of science at Harvard. He worked on Capitol Hill and the US Environmental Protection Agency; taught at several universities, and authored hundreds of articles and several books, including Poison Spring (2014), The Antikythera Mechanism (2021), Freedom (2025) and Earth on Fire: Brewing Plagues and Climate Chaos in Our Backyards (World Scientific, 2026).