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Sunday, April 26, 2026

The emperor cult of the Roman Empire is still very much alive in Trump's America



The Conversation
April 23, 2026 


On April 15, United States Secretary of Defense Pete Hegseth led a prayer session at the Pentagon. But instead of quoting from any recognised canon of sacred scripture, Hegseth’s prayer sounded unmistakably like Samuel L. Jackson’s “Jules”, a hitman character from Quentin Tarantino’s iconic 1994 film Pulp Fiction.


In his interrogation of white-collar criminal Brett, Jules delivers a heavily embellished monologue that draws from, and expands on, Ezekiel 25:17. The scene climaxes, in typical Tarantino style, with the brutal murder of Brett and his colleagues.

Hegseth’s version, which he said was recited by the Sandy 1 Combat Search and Rescue (CSAR) mission in Iran, deviates only slightly from Jackson’s monologue.

The biggest difference in this case is the symbolism. The target here is not a bunch of college kids with a briefcase they shouldn’t have, but the nation of Iran. Hegseth is the mobster and the American military are the hitmen on a violent but “divinely sanctioned” war.

The tone has changed, too. While Jackson’s monologue is highly dramatic, stylised, and imbued with more than just a little irony, Hegseth’s reframe renders it serious and devotional.

Leaving aside the cognitive dissonance of an avowedly “Christian” administration conflating Tarantino with scripture, this moment speaks to a rather unsettling relationship between Trump, pop culture and religion.

From business mogul, to Jedi, to the Pope

Trump courted pop culture prior to his politics, most notably in cameos such as Home Alone 2 (1992), The Little Rascals (1994), and as the host of The Apprentice (2004-17). He even leveraged his celebrity status to boost himself to the presidential platform.

As president, he has continued to tap into pop culture dialogues. He uses the power of social media and AI to promote his brand and policies, while weighing in on the culture wars.

On May 4 of last year (Star Wars Day), Trump posted an image on X of himself as a muscular Jedi, via the official White House account. However, he seems unaware that by brandishing a red lightsaber he is actually representing himself as a Sith Lord, the epitome of evil in the Star Wars universe.

In October, he posted an AI-generated video of himself in Top Gun mode, pouring what appeared to be faeces on protesters attending a No Kings rally.

He also took advantage of the buzz surrounding the Catholic Church’s 2025 conclave, and the popular film of same name, by posting an AI image of himself as the Pope.

By using the shared texts, cultural energy and narratives of pop culture, Trump is able to slam his opponents, take advantage of a polarised political context, and whip up support from his base.

These moments allow his administration to shape public conversation and draw attention back to them, sometimes with the explicit disapproval of the content creators involved. Responding to Trump’s Star Wars post, Mark Hamill (the actor who played Luke Skywalker) said the post was: “proof this guy is full of Sith”.

Bigger than Jesus?

Trump’s supporters have historically viewed his engagement with popular culture as humorous, cheering on their hero in the White House. But detractors sense a darker side. Each of these moments symbolically elevates the Trump administration, often at the expense of others.

The May 4 post is a case in point. The target here is the “radical Left” and Trump is raised to the rank of Jedi master (or Sith Lord). In the Top Gun video, Trump demonstrates his disdain for citizens exercising their democratic right to protest.

What connects these examples is the hubris of the administration, centred around its seemingly charismatic leader. Trump’s engagement with contemporary culture has shifted from relatively harmless cameos to putting himself at the centre of a Manichaean battle of good versus evil. Using both pop culture and religious references, he frames himself as a divine figure, fighting a cosmic war for the soul of the universe.

The most recent (and most on-the-nose example) of Trump’s hubris came earlier this month. As part of his continuing war of words with Pope Leo XIV, he posted an AI photo depicting himself as Jesus.

Here, he elevates himself beyond the union of ecclesiastical and political power to the highest possible authority figure in Christianity.

In doing so, he parallels the Ancient Roman emperors who conceived of themselves as “sons of God” and demanded allegiance and worship from their subjects (often at the tip of a blade).

The emperor cult of the Roman Empire is still very much alive in Trump’s America.

In these entanglements of pop culture, religion and politics, the MAGA movement sends a clear message to anyone with a ear to listen: this is our Master Jedi, our Maverick, our Messiah, even, and he will respond with “great vengeance and furious anger” against his enemies.

Brent Keogh, Lecturer in the School of Communications, University of Technology Sydney

This article is republished from The Conversation under a Creative Commons license. Read the original article.


Source: Originally published by Z. Feel free to share widely.

Since Donald Trump entered the White House in 2016, his political behavior has become a recurring subject of debate in political science and sociology. The pattern is by now familiar: open disregard for democratic norms, compulsive self‑aggrandizement, frequent reversal of policy positions, private enrichment through public office, and systematic attacks on the judiciary and independent media. To many historians, this pattern looks strangely familiar. It appears, almost point by point, in the historical accounts of Gaius Caesar Augustus Germanicus – better known as Caligula – the third emperor of Rome (reigned AD 37–41). This essay does not argue for a simplistic repetition of history. Instead, it offers a structured comparison of Trump and Caligula across three arenas: first, their relationship with intermediary institutions (the Senate in Rome, Congress in the United States); second, the social mechanism that enables public acceptance of moral corruption; and third, the transformation of politics into a theatre of contradiction, where objective truth is sacrificed for tribal loyalty to the leader. Drawing on Max Weber’s concept of charismatic authority and Hannah Arendt’s analysis of totalitarianism, the essay concludes by highlighting a key difference between the two cases: the role of mass media and the absence of a “Praetorian Guard” in twenty‑first‑century America.

Caligula became emperor in AD 37 after a long period of repression under Tiberius. Tiberius had alienated the Senate, exiled or executed several rivals, and confiscated the property of wealthy citizens. In that atmosphere, Caligula – the son of the beloved general Germanicus – was hailed as a return to honour and youth. During his first six months, he granted amnesty to political prisoners, abolished some heavy taxes, and staged lavish gladiatorial games. That initial popularity lasted almost two years. Trump entered the 2016 election in a climate of deep fatigue among white working‑class voters, exhausted by the trade and immigration policies of both Democrats and traditional Republicans. The 2008 financial crisis – and the subsequent bailout of banks with taxpayer money while no senior banker went to jail – had eroded trust in the political system to an unprecedented degree. “Make America Great Again” and the promise to “drain the swamp” appealed to those who felt abandoned by the existing order. Like Caligula, Trump in his first months delivered on some pledges – tax cuts for the middle class, withdrawal from the Paris Climate Agreement – that his base saw as acts of national sovereignty. But both leaders, once firmly in power, turned against the very structures they had promised to reform. That marks the beginning of a second, far more destructive phase.

In the Roman Republic – which survived in symbolic form even under Augustus – the Senate was the highest advisory and legislative body. Caligula, in the second phase of his rule, openly humiliated the Senate. He called senators “spineless creatures fit only to be slaves.” He made them run in their formal togas behind his chariot, executed several on flimsy pretexts, and mocked their deliberations. He also abolished due process: when a judge ruled against one of Caligula’s friends, the emperor deposed the judge and confiscated all his property. Trump systematically delegitimised independent institutions during his four years in office. He called federal judges “Obama judges,” accused the Justice Department of partisan bias in favour of Democrats, and after losing the 2020 election, asked his acting attorney general to declare the election “corrupt” – a request that led to the attorney general’s resignation. His most notorious act was pressuring Georgia’s secretary of state to “find 11,780 votes” to overturn the electoral result. Regardless of the legal outcome, the behavioural pattern – contempt for adjudicative bodies, replacing procedure with personal command – is unmistakably Caligulan.

Sociologists are fascinated by a strange paradox: sometimes a leader’s popularity rises precisely when his personal corruption is exposed. After two years of rule, Caligula emptied Rome’s treasury. He imposed new taxes on food, marriage, and even prostitution. The revenue was spent on gigantic pleasure barges on Lake Nemi, golden statues of himself, and months‑long feasts. Suetonius records that Caligula sometimes had Roman roads covered with silk cloth and forced citizens to prostrate themselves from a distance. Remarkably, the Roman populace did not revolt. Why? Some historians point to an implicit bargain of spectacle. In a society where senators and provincial governors had been stealing taxes and grain for decades – discreetly and hypocritically – Caligula’s open corruption appeared as “honesty in villainy.” People told themselves: “At least he does not hide the fact that he is robbing us.” The hidden theft of the elite was replaced by the theatrical theft of the autocrat. And that, paradoxically, gave the masses a sense of clarity. Trump acted similarly, though on a different scale. He refused to release his tax returns, but he openly used government funds at his own hotels and golf clubs. His son, Donald Trump Jr., pursued family business deals during official foreign trips. Nevertheless, polls in 2020 showed that more than 85 percent of Republicans believed Trump was “morally superior to Democrats.” This paradox arises from extreme partisan polarisation: any criticism of the in‑group leader is reframed as betrayal. Trump understood that mechanism and turned transparency in ugliness into a political asset.

Perhaps the most important behavioural similarity is the deliberate use of open contradiction. Caligula changed his tax policy three times in a single month. He sometimes said “senators are my greatest honour” and half an hour later called them “enemies of Rome.” He would recognise the Senate as a legislature on one day and issue direct decrees from his throne on the next. What first appears as madness has been reinterpreted by some historians as a tactic of domination through confusion. When a leader constantly reverses himself, opponents cannot anchor their criticism on a stable position. Moreover, every contradictory order increases the dependence of subordinates, because they must keep asking the leader for his final – and always shifting – opinion. Trump deployed this tactic systematically on Twitter. In 2018, he tweeted one morning that “under no circumstances will we withdraw from Syria,” and at 6 p.m. that same day: “Time for our soldiers to come home. We have no business in Syria.” Senior White House aides have admitted that sometimes, two minutes after a verbal order, a completely opposite order would be issued. Trump’s supporters interpret these contradictions as signs of a “clever wartime general” who does not want to reveal his next move. Sociologically, this recalls George Orwell’s concept of doublethink – the ability to hold two contradictory statements as true simultaneously, provided they have been issued by the leader.

To understand why the Roman and (some) American publics tolerated corruption and contradiction, we must recall the state of their societies before these leaders emerged. In pre‑Caligulan Rome, senators and aristocratic families had been embezzling taxes for centuries; provincial governors skimmed grain supplies; the courts served the wealthy. Ordinary citizens had no way to punish that hidden corruption. Caligula stepped into this vacuum and offered a kind of spectacular justice: he executed a few wealthy senators for corruption (while stealing ten times more himself). Yet that single, token gesture was enough to make the pop ulace call him a reformer. In the United States, the 2008 bank bailouts – with no jail sentences for senior executives – produced a level of distrust that historians have compared to the late Roman Republic. The two‑party system had failed to offer a meaningful alternative. In such a void, any leader who declares, bluntly, “the system is corrupt and must be destroyed” – even if he is himself part of that corruption – gains a hearing. Trump’s slogan “drain the swamp” pressed exactly that nerve. Voters said: “Maybe he lies, but at least he is not a hypocrite like the rest.” That “honesty in corruption” is the key to his durable 35–40 percent approval rating.

For all the similarities, one difference between Caligula’s end and Trump’s trajectory is crucial. Caligula was assassinated in AD 41 by a conspiracy of Praetorian Guard officers and senators. The motive was fear – fear that his extravagant spending and erratic behaviour would destabilise the imperial administration. The Roman system was able, ultimately, to eliminate a “mad emperor” through physical violence (though his successors were not necessarily better). Trump operates in a world where no equivalent of the Praetorian Guard exists. He was impeached twice by the House of Representatives (December 2019 and January 2021), but the Senate acquitted him both times. The Department of Justice has investigated several charges, but prosecuting a former president is legally difficult and institutionally unprecedented. Most importantly, social media allow Trump to communicate directly with tens of millions of people without any filter. While Caligula had to distribute bread and stage gladiatorial games to influence the masses, Trump can become the top news story worldwide with a single 280‑character tweet. This change of scale – from analogue spectacle to digital instantaneity – makes it much harder for any institution to terminate a Caligulan figure. This difference implies that the “spirit of Caligula” in the American system will not disappear simply by removing one person. The behavioural pattern – contempt for norms, spectacle of corruption, strategic contradiction – has become a self‑reproducing source of political power. It can outlive Trump himself. Any structural remedy must therefore focus on rebuilding trust in independent institutions, enforcing financial transparency for candidates, and redefining the ethical boundaries of leadership in a republican system.

Comparing Donald Trump and Caligula should not be reduced to a personality diagnosis – “Trump is crazy” or “Caligula was a billionaire.” The value of such a comparison lies elsewhere. It shows that certain political behaviours which seem exceptional today become explicable when we examine their social and economic setting: a crisis of institutional legitimacy, extreme inequality, and a public exhausted by hypocritical elites. Neither the Romans nor the American working class “likes” corruption. They simply find hypocrisy in corruption far more repellent than frankness in corruption. From a policy perspective, the lesson is clear. As long as democratic systems fail to deliver on two basic promises – the impartial punishment of corruption at all levels, and meaningful channels for protesting inequality – Caligulan figures will not only return but will grow more popular. Rome managed to kill Caligula with a sword, but it could not stop the empire’s long decline. America in the twenty‑first century has no need for physical assassination. What it needs is a restoration of intermediary institutions based on transparency and accountability. Until then, the theatre of contradiction will continue – whether in the White House or in any other capital that ignores the silent exhaustion of its citizens.

References

Arendt, H. (1951). The Origins of Totalitarianism. New York: Harcourt Brace.

Bruce, J. (2024, November 22). Trump offers ridiculous nominees to flaunt power. The Star Democrat.

GlobalSecurity.org. (2025). Trump: Restoration is Futile.

Higgins, C. (2019, March 6). Ask a classicist: is Donald Trump more of a Caligula or a Nero? Prospect Magazine.

Körösényi, A., Illés, G., & Metz, R. (2020). Plebiscitary Leader Democracy. In C. de la Torre (Ed.), The Oxford Handbook of Populism. Oxford: Oxford University Press.

Stanley, J. (2018). How Fascism Works: The Politics of Us and Them. New York: Random House.

Suetonius. (121 AD). The Twelve Caesars (R. Graves, Trans.). London: Penguin Classics (original work published ca. 121 CE).

Weber, M. (1978). Economy and Society: An Outline of Interpretive Sociology (G. Roth & C. Wittich, Eds.). Berkeley: University of California Press.

Winterling, A. (2011). Caligula: A Biography. Berkeley: University of California Press.

Zaretsky, R. (2025, February 6). In Trump’s Gaza pronouncement, a disdain for humanity worthy of Caligula. 


Tuesday, April 07, 2026

How To Stop the War Against Iran

Tell Your Member of Congress, House and Senate, to "Vote NO $$$$$ for War!"

by  | Apr 7, 2026 | 

Included at the end of this article is a simple guide to lobbying your Members of Congress including contact info and a basic script. – Please contact them today!

Up to 15,000 of the 50,000 American troops in the Middle East region are being positioned to participate in an assault on Kharg Island, Iran’s critical oil export hub, with the aspiration that America, once in control of Kharg, will turn the tables and assume dominance, opening the Strait of Hormuz for the U.S. and allies, while cutting off Iran from its major source of oil revenue.

Marines and paratroopers, with air and naval support, are poised to invade Kharg’s heavily defended 25-mile coast which features rocky terrain, cliffs and in some places, flat limestone surfaces, each presenting its own strategic calculus and hazards. Special Operations may be tasked with the mission of capturing Iran’s enriched uranium, an equally perilous task.

The U.S. cannot invade and/or hold Kharg Island without taking heavy casualties. Iran has been preparing more than 20 years for an assault on the island and U.S. troops could face potential annihilation with counter-attack coming from all directions, air, land and sea, giving new meaning to Kharg Island’s nickname, ‘The Forbidden Island.’

Our political leaders and their military advisors, unless they have been so infected with the virus of war that they have gone mad, must know our troops are facing slaughter.

We could be witnessing the tragic unfolding of a 21st century version of Custer’s Last Stand, where, at the Battle of Little Big Horn in June of 1876, General George Custer and 215 troops in his command were killed, thoroughly routed by the spiritual and strategic wisdom of native Indian leaders, Sitting Bull and Crazy Horse and their followers.

Custer’s troops had been sent by the U.S. government to reclaim Dakota Sioux land in the Black Hills after the discovery of gold in 1874.

Hubris is not limited to time and space. Underestimation of the strength of the opposition, an aggressive battle doctrine which ignored risk to life, overconfidence and cultural bias were operative at Little Big Horn and are abundantly present today among the Trump Administration’s advisors.

There should be no ground invasion of Kharg or other Iranian islands. There should be no further bombing runs or missile attacks on Iran. It is time to de-escalate, and quickly, to avoid further loss of life, and the world-wide collapse of food, fertilizer, fuel and other basic necessities.

I am not new to the hazards of malignant U.S. foreign policy. As a Member of Congress, I led the effort against the Iraq. War. Over several years, I made 155 speeches in the House of Representatives, specifically cautioning against an attack on Iran, and urging diplomacy.

President Trump has fumbled for explanations for this war. It was for Israel, for regime change, to get rid of enriched uranium, to get rid of Iran’s missiles, and yesterday, according to the Financial Times, the naked reason is blood for oil.

Quoting the President: “to be honest with you, my favorite thing is to take the oil in Iran, but some stupid people back in the U.S. say: ‘Why are you doing that?’ But they’re stupid people.”

Donald Trump meet Forrest Gump: “Stupid is as stupid does.” (Like cancelling the JCPOA nuclear agreement with Iran in 2018 and then complaining the Iranians are not abiding by it, or killing Iran’s chief negotiator, Ali Larijani , and then grousing there is no one with whom to negotiate).

In the alternative, perhaps the President and his cronies having recently seized control of $150 billion of oil in Venezuela, are criminal masterminds, using the U.S. military as enforcers for private gain.

The President explained his ‘Rule of (liquid) Gold to the New York Times: “We’re going to be using oil, and we’re going to be taking (Venezuela’s) oil.”

Favored Administration insiders make billions through stock manipulations, with advance knowledge of president’s market-pacing blurbs, underscoring war as a gigantic grift.

During my service as a member of Congress, I challenged bipartisan knavery and duplicity.

I sued three Presidents for violating the Constitution’s war powers, Democrat and Republican alike: Bill Clinton over Serbia, George W. Bush over Iraq, and Barack Obama over Libya.

I presented Articles of Impeachment charging both President George W. Bush and Vice President Dick Cheney with violations of the Constitution. I did so as both parties repeatedly enabled war, not only through the vainglorious, corrupt actions of the Executive branch, but through Congressional nonfeasance.

Congress has failed to exercise its fundamental Constitutional responsibilities relating to the War Power, as well as abandoned its preeminent role to curtail war through using the appropriations process.

Here is what I have witnessed as a Member of Congress: The Democratic Party, aware of the public’s fatigue over the war in Iraq, ran its 2006 campaign on a promise to end that war. The second the Democrats returned to power, leaders pledged to continue to fund the war, the very war they promised to end.

The bait and switch of the Democratic Party in the 2006 campaign, promising peace and delivering war, led me to run for president a second time, on a platform of Strength through Peace.

In 2024, Donald Trump promised peace. It was the cornerstone of his campaign. He excited a crossover vote, won the election and he, too, gave us the opposite, under the slogan “Peace through Strength,” followed by heavy military spending and imperial policies which either provoke or initiate war.

If you want to see this war brought to an end, remember this: An appropriations vote is a vote for war. If your congressional representative votes for the “National Defense Authorization Act (NDAA), they vote for war. This is not about disarming. It is about Congress deciding, on our behalf, limitations on aggression. If Congress votes for a supplemental appropriation to replenish missile stocks, and other armaments, they vote for war.

The power of the purse is the surest means by which Congress can stop the Iran war, or any war. If Congress funds war, Congress authorizes it. If Congress cuts off funds, this war will be brought to an end.

The Democratic leader of the House, Hakeem Jeffries, has kept open the possibility of support for an additional $200 billion for the Iran War. This in advance of the 2027 annual war appropriation which the president has doubled, requesting $1.5 trillion, (about 80% of current discretionary spending).

The use of the power of the purse is the only means by which Congress can stop this war.

Members of Congress supporting a ground attack on Iran have failed to fulfill one of the most important Constitutional responsibilities: Only Congress can legally take the American people from peace to a state of war and put America’s sons and daughters in harm’s way. Since Congress will not formally vote on a declaration of war, it enables war to be pursued through appropriations.

The economic costs of war against Iran, already approaching $40 billion, pale in consideration to the moral costs. The murder of 168 girls by a U.S. Tomahawk missile which struck the Shajareh Tayyebeh elementary school, in Minab, Iran on February 28th, will forever be a blot on our nation’s conscience.

The assassination of the Ayatollah Ali Khamenei, Iran’s chief of state and religious leader as horrifying as it was illegal. The ongoing loss of thousands of Iranian civilian lives due to U.S. and Israeli bombing similarly violates international law, as well as the U.S.’ own laws and cries out for justice. And we must never forget the price which American military families have already paid in loss of life or injury to their loved ones.

The wanton devastation our own government inflicts upon others in distant lands, our detachment from the carnage visited upon innocent people abroad, will return home in more coffins, more fractured families and pile misery upon misery in other, incalculable ways.

We cannot escape the consequences of the wrongful decisions of our leaders who disregard the U.S. Constitution, violate international and humanitarian law and capriciously kill civilians in other nations, ultimately placing American lives, both military and civilian, at risk.

The Iran war is, much like the attacks against the people of Gaza, the West Bank, Lebanon, Syria, Iraq and Yemen, a crime against humanity, compounded by every bomb and missile strike paid for with our tax dollars. President Trump’s repeated threats to obliterate civilian Iranian energy and water infrastructure are textbook war crimes.

Throughout my career I had no hesitation to challenge the unconstitutional abuse of the war power. Federal courts have consistently declined to intervene in disputes between Congress and the President over war powers. An appropriations vote is the prime political mechanism to start, continue, or to end a war. A “Yes” vote for a Pentagon appropriation is a vote for war. Period.

Exercising the power of the purse, voting “No” on appropriations which enable war, is the only means by which Congress can stop this war and any other war. If Congress funds war, Congress authorizes war.

Congress also has the War Powers Resolution, which can set a deadline for ending hostilities. Recently, Democratic leadership declined to force a War Powers vote, even as there was bipartisan support.

Ultimately, the financial support for war is not about Democrat versus Republican. Both parties have been captured by foreign and domestic interests that profit from endless war.

Our present leaders will continue search for false justification was the Iran war, seeking to justify the unjustifiable profligate arms spending. The cost of the Iran War will felt across the country, at the gas pump, and at the supermarket, while our government quibbles over feeding Americans through the SNAP program, as our farmers are go bankrupt. Is there any clearer demonstration that America has lost its way when its way is war?

A nation weakens itself, not through a single decision, but through a pattern of choices that place wars of choice above the well-being of its own people.

We the People also face a choice. Continued militarization of the budget brings militarization of thought, word and deed, precipitating more conflict, more wars and fewer resources for the needs of the American people, for jobs, wages, health care, education, and retirement security.

It is time for America to come home from the wars.

The midterm elections are approaching. Democrats and Republicans alike must be held accountable.

You, dear reader, have a voice, and it must be heard. Tell your member of Congress, clearly and without ambiguity, that spending more money for war is not acceptable.

It is time for a new path, and that path begins with you.

Get involved in the elections. Show up. Organize. Support candidates who respect the Constitution, who understand the cost of war, and who will not vote to fund war.

Help ensure that those candidates who stand up for the Constitution and who believe in diplomacy and peace are the ones who prevail.

Only an active citizenry can change the outcome. A constitutional republic endures only when its citizens remain vigilant.

That responsibility now rests with you. With us. With We the People.

A Guide to Lobbying:

Find your Member of Congress and both your Senators:

House: https://www.house.gov/representatives/find-your-representative

Senate: https://www.senate.gov/general/resources/pdf/senators_phone_list.pdf

Call their office directly (websites are linked from the directory above) or phone the Capitol Switchboard and politely ask to be transferred: 1 (202) 224-3121

Ask for your representative’s office. Politely speak to staff. They are usually very young so be nice to them. They are likely as intimidated as you may feel if this is your first time to lobby like this.

Say something like, “My name is XXX. I am a constituent and a primary voter. Please ensure that our representative votes NO on any WAR APPROPRIATIONS BILL.

Please also write to your representatives. Contact makes a difference. You can also go to their District or DC offices in person. Schedule ahead of time if you want to have an official meeting. Bring your friends, family and community with you! Your engagement makes a difference.

Be respectful, polite and confident in what you are asking for.

Dennis J. Kucinich served sixteen years in the United States Congress and twice ran for President of the United States on a platform of peace, truth, and constitutional integrity. He led the opposition to the Iraq War and introduced Articles of Impeachment against President George W. Bush and Vice President Dick Cheney for misleading the nation into war.

Worse Than John McCain?

by  | Apr 7, 2026 |

Following President Trump’s address to the nation on Wednesday about the Iran War, stock markets suffered losses while oil prices rose. The decline in stocks and increase in oil prices reflected disappointment over President Trump’s failure to articulate a plan to end the Iran War and the related restraint of shipping through of the Strait of Hormuz.

The average gas price in America has risen to over four dollars per gallon since the US and Israel launched their war against Iran at the end of February. The increased cost of gas is raising prices at the pump and, by increasing shipping costs, resulting in higher prices at grocery stores and even on Amazon.

According to media reports, President Trump and his advisers dismissed the possibility that Iran would use its ability to limit or even cease oil shipments through the Strait of Hormuz in order to drive up fuel prices. They dismissed the possibility even though disrupting oil shipments is the best way Iran can damage the US economy and make even America’s staunchest allies unwilling to take any action that could be seen as supporting the war. Fear of Iranian retribution may be why NATO countries rejected the president’s request that they send military support to the Strait of Hormuz to protect the free transport of oil.

President Trump’s contradictory statements regarding how close the US is to victory (and what victory will consist of) as well as whether he intends to establish a military presence at the Strait of Hormuz reflect the dilemma President Trump is facing when it comes to Iran. If the president sends troops to protect the Strait of Hormuz or sends troops into Iran, then he will lose more support from those who voted for him because he promised to be a peacemaker, not a warmonger.

Continuing to ignore the damage the increase in fuel costs is causing Americans will hurt Republicans in November’s midterm elections. This could result in President Trump facing a Democrat-controlled Congress in his final two years in office.

President Trump recently stated the federal government cannot afford to pay for daycare and other social programs because it has to spend so much money on the military and war. Of course, the Constitution does not authorize the federal government to run either a welfare state or a global empire.

The massive federal expenditure on militarism deprives the American people of the resources needed to create an effective private “safety net” for those in need. Yet, President Trump wants to increase the military budget to 1.5 trillion dollars — a 40 percent increase — even though the United States already spends more on “defense” than the combined defense budgets of the next nine biggest spending countries!

This spending will be paid for via the Federal Reserve’s inflation tax. This will further increase costs for Americans. The inflation tax hits middle and lower income Americans the hardest.

A saying among some antiwar libertarians and progressives, coined by Tom Woods, expresses the idea that whoever is elected president you end up with the militaristic foreign policy of the late Senator John McCain. President Trump’s commitment to continuing and expanding intervention in the Middle East and beyond, as well as to dramatically increasing spending to accomplish this task, suggests an exception to the rule: President Trump might be worse than John McCain.

Ron PaulRon Paul is a former Republican congressman from Texas. He was the 1988 Libertarian Party candidate for president.

Monday, April 06, 2026

The Existential Threats of Artificial Intelligence


 April 3, 2026

AI on Time Magazine cover, Feb. 27 / March 6, 2023. The AI Arms Race is Changing Everything. Wikipedia. Public Domain

Prologue

Artificial Intelligence (AI) is the artificial product of machines. It is not intelligence. Intelligence is a virtue shared by humans and other animals. Intelligence requires a healthy brain and, with humans, the virtues of justice, moderation and wisdom. No machine or technology, no matter the amount of technical data or knowledge it possesses, can exercise intelligence, that is, make an intelligent decision, which is just and good. It has no ethical standards and is devoid of justice, wisdom or civilization. But machine AI can easily target and kill humans and nature.

Existential threats

AI is a military technology designed to kill. Yet this technology’s varieties for non-military purposes are so profitable for tech corporations that tens of billions are invested for its further development. America, China, Russia, India, and other countries have transformed their image to one of prosperity and military might. A newspaper, which is one of the many advocates of AI, described it as “America’s most innovative and globally competitive industry.”

On March 12, 2023, hundreds of scientists and AI leaders and researchers, including Elon Musk, issued a warning in the form of an open letter, Pause Giant AI Experiments. The letter warned:

“AI labs [are] locked in an out-of-control race to develop and deploy ever more powerful digital minds that no one – not even their creators – can understand, predict, or reliably control.

“Contemporary AI systems are now [in 2023] becoming human-competitive at general tasks, and we must ask ourselves: Should we let machines flood our information channels with propaganda and untruth? Should we automate away all the jobs, including the fulfilling ones? Should we develop nonhuman minds that might eventually outnumber, outsmart, obsolete and replace us? Should we risk loss of control of our civilization? Such decisions must not be delegated to unelected tech leaders. Powerful AI systems should be developed only once we are confident that their effects will be positive and their risks will be manageable. This confidence must be well justified and increase with the magnitude of a system’s potential effects….We agree [we need to act]. That point is now.

“Therefore, we call on all AI labs to immediately pause for at least 6 months the training of AI systems more powerful than GPT-4. This pause should be public and verifiable and include all key actors. If such a pause cannot be enacted quickly, governments should step in and institute a moratorium…. This does not mean a pause on AI development in general, merely a stepping back from the dangerous race to ever-larger unpredictable black-box models with emergent capabilities.”

These unpredictable black-box models are also disturbing and harming millions of people. Experts call chatbots sycophantic. In other words, these machines have been designed to decieve, boosting the weaknesses of millions of humans that treat the machines like partners, telling them secrets and asking them for advice. Chatbots return the favors by flattering their low-intelligent human “friends.” “AI chatbots are suck-ups, and that may be affecting your relationships…. As millions of people turn to AI for companionship and guidance, that agreeableness may pose a subtle but serious threat.”

Bernie Sanders: Watch out: AI comes from billionaires

These broad adverse effects of the AI mania and, particularly, the open letter fired up Senator Bernie Sanders of Vermont. He is also convinced that AI hides dangers with extreme consequences. Undermining the education of children, for example. Giant tech companies deceived schools in spending tens of billions for gadgets like iPads and AI chatbots that, in fact, did not raise the intelligence or education standards of the students.. UNESCO, in fact, warned that the overreliance on AI digital technologies harmed students, making learning more difficult.

Artificial intelligence in America is already threatening and harming working people, weakening even more state governments and the federal government and adding illusions of global hegemony to the military.

All these effects could wreck civilization. In 2023, AI was not exactly the picture-perfect tech lobbyists wanted Americans to see. “The push to develop more powerful chatbots has led to a race that could determine the next leaders of the tech industry. But these tools have been criticized for getting details wrong and their ability to spread misinformation…. For years, many A.I. researchers, academics, and tech executives, including Mr. Musk, have worried that A.I. systems could cause even greater harm. Some are part of a vast online community called rationalists or effective altruists who believe that A.I could eventually destroy humanity.”

This emerging grim reality motivated Senator Sanders. In other words, Sanders was convinced that AI served no useful purpose. On March 24, 2026, he delivered a powerful and eloquent speech in the US Senate. He highlighted the threats and dangers of AI. He said:

“This [is] the most dangerous moment in the modern history of this country, with Congress and the American people [being] very unprepared for the tsunami that is coming. Congress and the American public have not a clue about the scale and speed of the coming AI revolution.

“This is a revolution which will bring unimaginable changes to our world:

“This is a revolution which will impact our economy with massive job displacement.

“It will threaten our democratic institutions.

“It will impact our emotional well-being and what it even means to be a human being. It will impact how we educate and raise our kids. It will impact the nature of warfare, something we are seeing right now in [the war Israel and the US are fighting in] Iran.

“Further, and frighteningly, some very knowledgeable people fear that what was once seen as science fiction could soon become a reality. And that is that super intelligent AI could become smarter than human beings, could become independent of human control, and pose an existential threat to the entire human race. In other words, human beings could actually lose control over the planet.

“And in the midst of all of that, all of this transformative change, what I have to tell you is that the United States Congress hasn’t a clue, not a clue, as to how to respond to these revolutionary technologies and protect the American people. And it’s not only not having a clue, but they’re [also] out busy raising money all day long from AI and their super PACs”

Sanders does not mince words. He accused high tech executives of putting profits over safety, civilization and survival. He included the following AI corporate owners: Elon Musk, Jeff Bezos, Larry Ellison, Mark Zuckerberg and Peter Thiel for funding the development of more hazardous versions of AI. “All of these people,” he said, “are multi-billionaires who, if they are successful at AI, will become even richer and more powerful than they are today.”

Sanders quoted verbatim the defining notions the tech executives have about their AI product: Elon Musk: “AI and robots will replace all jobs. All jobs. Working will be optional.” Dario Amodei, CEO of Anthropic: “AI could displace half of all entry-level white-collar jobs in the next one to five years…. Humanity is about to be handed almost unimaginable power, and it is deeply unclear whether our social, political, and technological systems possess the maturity to wield it.” The rest of the billionaires offered similar cosmic threatening visions. But Mark Zuckerberg, Sanders said, “is building a data center in the state of Louisiana, a data center that is the size of Manhattan, that will use three times the quantity of electricity that the entire city of New Orleans uses every year.” (Emphasis mine)

Epilogue

After citing this damning evidence against AI, Senator Sanders embraced the pause and moratorium of the 2023 AI leaders and experts. He reminded his colleagues that neither a pause nor a moratorium had taken place. AI was in charge of the world while its leaders lobbied politicians for its ceaseless growth.

“So,” Sanders concluded: “bottom line is that, in my view, to protect our workers from losing their jobs, to protect human beings from attacks on their mental health, to protect our kids, to protect the safety of human life, we need a moratorium on data centers. We need to take deep breaths. Need to make sure that AI and robotics work for all of us, not just a handful of billionaires.”

True, that is a reasonable wish. But, like the nuclear bomb, can humans harness, regulate and control a “machine mind” threatening the annihilation of both people and the world? Would it not be more ethical and humane to abolish it, along with the nukes before those two artificial machine-dangers abolish us and our civilization?

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).

Artificial Intelligence Versus Human Stupidity

April 6, 2026

Photo by Cash Macanaya

The latest technology can prove decisive in war. Think of the atomic bomb in World War II. Or the stirrup in the Mongol conquest of Europe and the Middle East.

More recently, after the two sides had been deadlocked for decades, Azerbaijan defeated Armenia in 2020 in a matter of days and took over the enclave of Nagorno-Karabakh. Armenia prided itself on its powerful army and fearsome soldiers. They were no match for the drones that Azerbaijan bought with the proceeds from its oil exports.

“Azerbaijan used its drone fleet — purchased from Israel and Turkey — to stalk and destroy Armenia’s weapons systems in Nagorno-Karabakh, shattering its defenses and enabling a swift advance,” reported the Washington Post‘s Robyn Dixon. “Armenia found that air defense systems in Nagorno-Karabakh, many of them older Soviet systems, were impossible to defend against drone attacks, and losses quickly piled up.”

Ukraine has similarly used drone technology to level the battlefield in its war against Russia. The Kremlin has more money, more soldiers, more heavy artillery, even more drones than Ukraine. But the Ukrainians have proven more adept at producing new varieties of drones that can substitute for scarce Patriot missiles in defending against Russia’s daily aerial assault. Ukraine has also used a variety of drones to strike at targets deep in Russian territory. Drones are the slingshot by which little David hopes to bring down the Russian Goliath.

And now the war in Iran.

Perhaps Donald Trump was persuaded—by his generals, by his buddies in Silicon Valley, by Israeli Prime Minister Benjamin Netanyahu—that American military superiority would make quick work of the Iranian military. In addition to the aircraft carriers, the Stealth bombers, the Tomahawk missiles, and the High Mobility Artillery Rocket System, Trump could also call upon the assistance of Claude and his buddies.

Claude, of course, is the artificial intelligence system developed by the company Anthropic, which had objected to the misuse of its model in the U.S. raid that captured Venezuelan leader Nicolas Maduro and his wife. Trump retaliated against Anthropic’s caution by ordering the Pentagon to sever its relationship with Claude—only to discover that the AI was already too integrated into U.S. military operations. Not the first conscript ordered to fight against its will, Claude helped the Pentagon identify Iranian targets, prioritize them, and furnish precise coordinates. Going forward, however, the Pentagon will rely instead on Open AI’s ChatGPT.

All of this technological sophistication has not brought Donald Trump the quick victory he so desired. What Trump and company didn’t anticipate—but which any reasonably competent foreign policy professional could have pointed out if DOGE hadn’t cashiered so many of them—was that Iran could rely on much simpler tactics to stymie the combined U.S.-Israeli forces.

History provides plenty of examples of adversaries who successfully defeated U.S. forces despite facing much more technologically advanced weaponry. The Vietnamese endured massive bombing campaigns, Iraqi insurgents relied on IEDs to destroy U.S. infantry forces, and the Taliban outwaited the occupying army. These experiences presumably inspired Donald Trump to promise, as a presidential candidate, not to get involved in any quagmires or expose U.S. troops to such risks again.

All that went out the window when he attacked Iran.

And now, Iran has used its location and the unchangeable facts of geography to their full advantage. It has effectively blocked the Strait of Hormuz, restricted the flow of oil and natural gas to the global market, and driven up the price of petroleum at the pump. It. It has also relied on the utter stupidity of the industrialized world. If global gas-guzzlers had weaned themselves of their addiction to fossil fuels—as they had promised in climate negotiations—the reduced flow of oil would not now be having such a great impact.

To turn the tables, the United States could seize Kharg Island, located in the Persian Gulf about 400 miles north of the Strait of Hormuz. If Iran were to lose the island, the transit point for 90 percent of Iran’s crude oil exports, much of its geographic advantage would disappear. Or would it?

Although it might not represent a huge challenge for the United States to take the island, it’s another matter altogether to hold it. The Iranians could keep up a steady barrage of aerial strikes on occupation forces hunkered down on the exposed island. The continued disruption of Strait traffic—along with the destruction of Iranian energy infrastructure—would not achieve Trump’s current primary goal: the reduction of prices at the pump.

What might seem like a war between two distinct adversaries—Armenia vs. Azerbaijan, Russia vs. Ukraine, United States vs. Iran—often boils down to a very different kind of conflict. The battle on the ground frequently pits old tactics against new tech. Sometimes the gadgets win; sometimes old-school approaches prevail.

Many countries still go to war believing that God is on their side. Just as dangerous are those that believe that they will win because technology is on their side.

Taking Humans out of the Loop

The era of the “intelligent kill web” has arrived.

The military planner sits like a venomous spider at the center of a web of AI applications that calculate targets, probabilities, and complex interactions faster than any human can comprehend. Linked to actual weapons, these AI models conduct war with ever increasing efficiency and lethality. The execution of kill chains—which connect the identification of a target with its destruction—has been compressed to mere seconds. In a targeting exercise conducted by the U.S. Air Force in January, the AI system was over 100 times faster than its human counterpart; it also achieved a “tactical viability” rate of 97 percent compared to the human’s 48 percent.

Such figures are no consolation to the families of the victims of the U.S. bombing of a primary school in Iran on February 28 that killed nearly 200 people, mostly little girls. The targeting of the U.S. aerial campaign was orchestrated by Maven, the AI platform designed by Palantir. But don’t blame the robots. As Kevin Baker points out in The Guardian, it’s people who are responsible for catastrophes like this: the ones who failed to update the database of targets, who designed Maven, and who put these systems at the center of their battle plans.

Analysts worry that countries like the United States are on the verge of removing people from the kill web because the human mind just slows things down and the smallest advantage can prove critical in determining the outcome of a battle.

That is certainly a concern. Equally terrifying, as the war in Iran is proving, is to keep a human being like Secretary of War Pete Hegseth at the center of the kill web. In other words, the only thing worse than an intelligent kill web is a stupid kill web.

Or, to put it more dismally, any human at the center of the kill web will be as stupid as Pete Hegseth because that’s just a function of the degree of magnitude that currently separates cyberspace and meatspace.

Will AI, without human guidance, escalate a war to the nuclear threshold and beyond? This is not a consoling thought, but at this point, frankly, the humans that run operations in the Trump administration are not morally distinguishable from killer robots.

Cyberoperations

To assassinate Iran’s top leader Ayatollah Khamenei, Israeli cyber-operatives hacked into the traffic cameras in Tehran. According to a Financial Times report:

Israel gained access to the cameras years ago, and found that one particular camera was angled in such a way that it showed where members of Khamenei’s security team parked their cars. Through the cameras, Israeli intelligence built files on the guards’ addresses, work schedules, and who they were assigned to protect. On the day of the attack, Israel and the US also disrupted cellular service on Tehran’s Pasteur Street, where Khamenei was assassinated, so those trying to reach the bodyguards and deliver possible warnings would receive busy signals.

Some years ago, the United States and Israel collaborated on smuggling the Stuxnet worm into Iran’s nuclear operations, which prompted the centrifuges that enrich uranium to spin out of control and destroy themselves. It was only a temporary setback for Iran. For the world, however, the consequences have been irreversible, given that this first large-scale cyberattack kicked off a digital arms race.

During this current war, Iran has conducted cyberoperations of its own, such as targeting a medical devices company and hacking into FBI Director Kash Patel’s email. However, Iran is at a serious disadvantage. The United States and Israel have been pouring money into such technologies for years.

So, too, has the Kremlin. Russian cyberops are especially widespread. U.S. media has focused on Russian efforts to swing U.S. elections, but Russia has focused most of its attention on Europe. There it has engaged in conventional sabotage, such as hiring single-use operatives to plant explosives, set fires, and generally cause havoc. The even more destabilizing operations, however, are hidden from view because they take place in cyberspace.

Beginning in September 2024, for instance, a new Russian group nicknamed Laundry Bear began to hack into the accounts of Dutch police officials and conduct cyber-espionage against high-tech companies. The Baltic countries have been dealing for years with Russian cyber operations that have jammed GPS navigation near airports, disrupted underwater cables, and hacked into energy systems. In one recent example, anonymous social media accounts started to call for the secession of a majority-Russian region around the Estonian city of Narva. The historical parallels are unnerving. Similar calls for secession, also stage-managed by Moscow, precipitated the Crimean and Donbas crises in 2014 that led to Russian intervention and war in Ukraine.

The Genie and the Bottle

Scientists warn against the futility of trying to stop scientific advances. The nuclear genie, despite some intermittent efforts at imposing controls, has not been stuffed back into the bottle, not even halfway. A similar debate is taking place today around AI, between techno-optimists and techno-pessimists.

One way around this debate has been to furnish AI with hard-and-fast constraints, something like the laws that Isaac Asimov imagined for his fictional robots. Anthropic has drafted a “constitution” for Claude that forbids it from, among other things, creating “cyberweapons or malicious code that could cause significant damage if deployed” or engaging “in an attempt to kill or disempower the vast majority of humanity or the human species as a whole.”

That seems reasonable. But when Donald Trump took office in 2025, he eliminated all efforts to apply such rules across the industry. Rules, regulations, laws—these are all impediments to “making America great again” or, more accurately, to preventing Trump from assuming autocratic control. So, Claude and its constitution are now out of the loop, much as Trump has taken the U.S. constitution out of the loop.

In any case, talk of techno-utopias and techno-apocalypses is really just a matter of projection. AI reflects the best and worst of humanity. “Garbage in, garbage out,” goes the slogan of Silicon Valley. Instead of just focusing on treating the end product, then, it would be better to address the waste farther upstream, nearer to the source. That means more funds for education, not just for science and technology but the ethics involved in translating discoveries into products.

Ah, but wait: the Trump administration is also cutting the funding to research and education. The secretary of health and human services is a fount of junk science. The executive branch is governed by the morality of Mordor.

It is a horrifying aspect of today’s politics in the United States that AI is an improvement on all that. Intelligence of whatever variety trumps stupidity almost every time, though not so much in U.S. elections.

Speaking of elections, now that Claude has been kicked out of the Pentagon, maybe it should run for president.

John Feffer is the director of Foreign Policy In Focus, where this article originally appeared.

Evaluating the ethics of autonomous systems


MIT researchers developed a testing framework that pinpoints situations where AI decision-support systems are not treating people and communities fairly




Massachusetts Institute of Technology





Cambridge, MA -- Artificial intelligence is increasingly being used to help optimize decision-making in high-stakes settings. For instance, an autonomous system can identify a power distribution strategy that minimizes costs while keeping voltages stable.

But while these AI-driven outputs may be technically optimal, are they fair? What if a low-cost power distribution strategy leaves disadvantaged neighborhoods more vulnerable to outages than higher-income areas?

To help stakeholders quickly pinpoint potential ethical dilemmas before deployment, MIT researchers developed an automated evaluation method that balances the interplay between measurable outcomes, like cost or reliability, and qualitative or subjective values, such as fairness.   

The system separates objective evaluations from user-defined human values, using a large language model (LLM) as a proxy for humans to capture and incorporate stakeholder preferences.  

The adaptive framework selects the best scenarios for further evaluation, streamlining a process that typically requires costly and time-consuming manual effort. These test cases can show situations where autonomous systems align well with human values, as well as scenarios that unexpectedly fall shortv of ethical criteria.

“We can insert a lot of rules and guardrails into AI systems, but those safeguards can only prevent the things we can imagine happening. It is not enough to say, ‘Let’s just use AI because it has been trained on this information.’ We wanted to develop a more systematic way to discover the unknown unknowns and have a way to predict them before anything bad happens,” says senior author Chuchu Fan, an associate professor in the MIT Department of Aeronautics and Astronautics (AeroAstro) and a principal investigator in the MIT Laboratory for Information and Decision Systems (LIDS).

Fan is joined on the paper by lead author Anjali Parashar, a mechanical engineering graduate student; Yingke Li, an AeroAstro postdoc; and others at MIT and Saab. The research will be presented at the International Conference on Learning Representations.

Evaluating ethics

In a large system like a power grid, evaluating the ethical alignment of an AI model’s recommendations in a way that considers all objectives is especially difficult.

Most testing frameworks rely on pre-collected data, but labeled data on subjective ethical criteria are often hard to come by. In addition, because ethical values and AI systems are both constantly evolving, static evaluation methods based on written codes or regulatory documents require frequent updates.

Fan and her team approached this problem from a different perspective. Drawing on their prior work evaluating robotic systems, they developed an experimental design framework to identify the most informative scenarios, which human stakeholders would then evaluate more closely.

Their two-part system, called Scalable Experimental Design for System-level Ethical Testing (SEED-SET), incorporates quantitative metrics and ethical criteria. It can identify scenarios that effectively meet measurable requirements and align well with human values, and vice versa.  

“We don’t want to spend all our resources on random evaluations. So, it is very important to guide the framework toward the test cases we care the most about,” Li says.

Importantly, SEED-SET does not need pre-existing evaluation data, and it adapts to multiple objectives.

For instance, a power grid may have several user groups, including a large rural community and a data center. While both groups may want low-cost and reliable power, each group’s priority from an ethical perspective may vary widely.

These ethical criteria may not be well-specified, so they can’t be measured analytically.

The power grid operator wants to find the most cost-effective strategy that best meets the subjective ethical preferences of all stakeholders.

SEED-SET tackles this challenge by splitting the problem into two, following a hierarchical structure. An objective model considers how the system performs on tangible metrics like cost. Then a subjective model that considers stakeholder judgements, like perceived fairness, builds on the objective evaluation.

“The objective part of our approach is tied to the AI system, while the subjective part is tied to the users who are evaluating it. By decomposing the preferences in a hierarchical fashion, we can generate the desired scenarios with fewer evaluations,” Parashar says.

Encoding subjectivity

To perform the subjective assessment, the system uses an LLM as a proxy for human evaluators. The researchers encode the preferences of each user group into a natural language prompt for the model.

The LLM uses these instructions to compare two scenarios, selecting the preferred design based on the ethical criteria.

“After seeing hundreds or thousands of scenarios, a human evaluator can suffer from fatigue and become inconsistent in their evaluations, so we use an LLM-based strategy instead,” Parashar explains.

SEED-SET uses the selected scenario to simulate the overall system (in this case, a power distribution strategy). These simulation results guide its search for the next best candidate scenario to test.

In the end, SEED-SET intelligently selects the most representative scenarios that either meet or are not aligned with objective metrics and ethical criteria. In this way, users can analyze the performance of the AI system and adjust its strategy.

For instance, SEED-SET can pinpoint cases of power distribution that prioritize higher-income areas during periods of peak demand, leaving underprivileged neighborhoods more prone to outages.

To test SEED-SET, the researchers evaluated realistic autonomous systems, like an AI-driven power grid and an urban traffic routing system. They measured how well the generated scenarios aligned with ethical criteria.

The system generated more than twice as many optimal test cases as the baseline strategies in the same amount of time, while uncovering many scenarios other approaches overlooked.

“As we shifted the user preferences, the set of scenarios SEED-SET generated changed drastically. This tells us the evaluation strategy responds well to the preferences of the user,” Parashar says.

To measure how useful SEED-SET would be in practice, the researchers will need to conduct a user study to see if the scenarios it generates help with real decision-making.

In addition to running such a study, the researchers plan to explore the use of more efficient models that can scale up to larger problems with more criteria, such as evaluating LLM decision-making.

###

This research was funded, in part, by the U.S. Defense Advanced Research Projects Agency.


Why We Need a Federal Artificial Intelligence Commission and How Government Can Create It

Source: Originally published by Z. Feel free to share widely.

The Airwaves

Radio was introduced commercially in 1920, when the Westinghouse Corp. launched station KDKA in Pittsburg. Other stations followed. Because transmission frequencies could be chosen arbitrarily, stations interfered with one another’s broadcasts. The system became chaotic; listeners could hear two stations simultaneously. The Federal government stepped in with the Radio Act of 1927, which created the Federal Radio Commission (FRC) to assign frequencies, limit interference, and regulate ownership. Most important, this act declared that the airwaves belonged to the public.

More regulations followed in 1934. The Communications Act established the Federal Communications Commission (FCC) as the trustee of the airwaves, the public’s asset. The FCC issued licenses and enacted regulations that required broadcasters to operate in the “public interest, convenience or necessity” and restricted program content by excluding obscene, and indecent language. They also limited station ownership, required sponsors to identify themselves and required equal opportunities for political candidates.

Because television is broadcast on public airwaves, it is also subject to FCC regulation. These rules could not, however, apply to cable television, which is transmitted over private networks.

The Internet

The internet began as in the 1960s as a US government funded program ARPANET, within the Department of Defense. The project developed a network for sharing information between researchers. The benefits of this sharing method were obvious and reached well beyond the research communities. By 1995 the internet was fully commercialized. Unlike radio and television there was little government oversight.

The internet spread with the expectation that it would improve society by expanding access to information. That vision has been realized across research, medicine, and education. But access to misinformation also expanded, with no rules to protect the public.

This misinformation has greatly harmed our national discourse, fueling polarization by spreading false narratives about election integrity for example. Misinformation also undermines constructive political debate and erodes trust in public institutions. One in five Americans and one in four Republicans believe absurd QAnon conspiracy theories. The core QAnon belief is that “a cabal  of Satanic, cannibalistic child molesters, in league with the deep state, operates a global child sex trafficking ring.”

Rather than simply enlightening the public as hoped, the flood of disinformation and misinformation has confused people. Truth has become fungible. What should be certain is doubtful. Partisan narratives replace facts. Thirty percent of Republicans still believe, without evidence, that Trump won the 2020 election, even though the cases of fraud in that election were essentially zero, less than 0.002%.

The effect on American society has been tragic. For democracy to succeed, truth is essential.

The internet is dominated by mammoth companies like Google and Meta. Google’s long standing internal motto was “Don’t be evil” while one of Meta’s five core values was “Build Social Value.” Neither commitment is honored. Unlike FCC regulations, they are unenforceable.

Our justice system can force compliance with our laws as in a recent case brought against Google and Meta, which found  that both companies harmed a “young user with design features that were addictive and led to her mental health distress.” But when it comes to protecting the people, lawsuits are a poor substitute for regulation. They are costly and ponderous, and odds favor companies who have limitless financial resources.

The internet has been a blessing and a curse. The net outcome is uncertain, but what is certain is that the negative effects could have been minimized if Congress had intervened as it did with radio and television. Knowing what we know now, the internet should have been viewed as a public asset.

Artificial Intelligence

Like the internet, Artificial Intelligence holds great promise. It also presents a much greater threat to society. Stephen Hawkings warned that the threat is existential, saying in 2014 that AI could “spell the end of the human race.” When AI surpasses human intelligence, it could become autonomous and find biological humans inferior and expendable.

Clearly how AI is developed is a matter of public interest and democratic governments are obligated to protect the common good. To assume that profit motivated AI developers will simply do the right thing is reckless and foolhardy. We made that mistake with the internet.

Government can intervene following the paradigm established for radio and television. The electromagnetic spectrum cannot be owned in any physical sense, yet for the good of all, it is considered an asset of the people. This principle can and should be applied to information. Congress should designate knowledge in the public domain as a public asset, just as it did with the electromagnetic spectrum. How that information is used in the training of AI agents is certainly a matter of public interest.

Congress should be holding hearings on AI, shunning lobbyists, and listening to expert testimony from developers and other knowledgeable and interested parties. It should then openly debate potential legislation that could harness the capability of AI so that it serves the common good and protects public interest. The hands-off approach Congress has taken is irresponsible and dangerous. Do we want the Elon Musks of the world to decide how public information can be used?

Congress, and the US Senate in particular, was once considered the world’s greatest deliberative body. But under the control of the Republican theocratic party, it has become gridlocked and ineffective. And its priorities are wrongheaded. The minimal attention it has given AI focuses on maintaining dominance over China and concerns with AI chatbots as they relate to child safety. Congress needs to think big, as it did in 1927 and 1934.

Congress could start with creating a Federal Artificial Intelligence Commission as the trustee of public information and regulate AI so that conclusions and judgments drawn by its agents are truthful, that is, based on reason and factual evidence, and that they comply with the law. This is no more than what we teach our children, expect from journalists, and demand from our justice system. Requiring truthful and ethical conduct would not compromise the potential of artificial intelligence, and deep fakes and AI linked suicides would not concern us.

Those in the business of misinformation will foolishly say that such restrictions are a violation of their First Amendment rights. And developers will argue that because large language models rely on probabilities, statistical patterns, and code rather than consciousness, such constraints cannot apply. But to assert that, because AI does not think like homo sapiens, our law and ethical standards are irrelevant is senseless. If AI cannot conform to ethical standards the logical conclusion is that the formulation is deficient, not the other way around.

Rational thought and ethical standards have guided us for 250 years. Ironically, AI is a product of rational human thought. That AI cannot yet abide social responsibility implies the need for further development. Humanity has survived for 300,000 years without it. It can wait a few more months or years for ethical artificial intelligence. Let HAL 9000 live in science fiction.

The Trump – MAGA Obstacle

When one of our brightest intellects warns that artificial intelligence could spell the end of humanity, it cannot be taken lightly. We need our best minds working on a means to regulate AI. Humans created this problem and it must be solved by humans using reason and factual evidence. Unfortunately, reason and facts are not the strong suit of Trump, his administration, or the MAGA Christian Nationalists. If there is any hope regulating artificial intelligence, the Democrats must take control of Congress in November and rein in an unstable president.


Bob Topper, syndicated by PeaceVoice, is a retired engineer.


INTERVIEW


AI is fuelling the 'digital colonisation' of Africa, warns UN scientist


The United Nations has launched its first global panel on artificial intelligence, as concerns grow that the technology could deepen global inequalities – particularly in Africa, where systems are largely imported after being shaped elsewhere.



Issued on: 05/04/2026 - RFI

Young people take part in a cyber competition in Dakar, Senegal, as experts warn Africa must build its own AI systems or risk falling behind AP - Misper Apawu

The panel, bringing together around 40 experts from 37 countries, was approved by the UN General Assembly in February and held its first meeting in March. Members serve in their personal capacity for a three-year term.

It aims to help governments make sense of artificial intelligence (AI) as its reach quickly spreads across economies, politics and everyday life – and to close what the UN calls a growing “knowledge gap” around the technology.

Comparable with the IPCC climate change panel, it is designed to provide independent scientific advice and produce regular assessments of AI’s risks and impacts, at a time when a handful of companies, mostly in the United States and China, dominate the field.

Among its members is Senegalese researcher Adji Bousso Dieng, who tells RFI that Africa needs to develop its own AI or risk being left dependent on others.

RFI: What is this new UN panel on AI meant to achieve?

Adji Bousso Dieng: AI is advancing at an unprecedented speed and is now entering many parts of our societies – our economies, science, politics and even culture. Many governments and decision-makers feel uncertain.

They see the huge potential of AI, but they still struggle to fully understand its implications, how to use it for the common good and how to protect against its risks. That's why the UN created an independent scientific space. We do not work for any government or institution.

Our goal is to produce rigorous scientific analysis to guide public decisions. In the end, it is about rebalancing things so that AI governance and access to opportunities are not concentrated in the hands of a few actors, but benefit the whole international community.

RFI: AI is clearly dominated by major companies, especially in the United States. What's your view on this?

ABD: That is a reality. We keep hearing the same names – OpenAI, Anthropic, and now DeepSeek from China. Fortunately, other start-ups are emerging, including in Europe with Mistral. But it is a problem that AI development is concentrated in the hands of these companies.

AI has become a public good. Countries in the Global South should be able to develop their own AI, but they do not have the means. It requires huge resources in computing power, data and skills. So we need collaboration between nations, and this UN panel is a good way to start that work.

RFI: How is AI developing in Africa?

ABD: There are communities working on AI, like Indaba, and companies are starting to use it. But I am not satisfied with how it is happening. Most systems come from outside, they are not developed locally. That creates problems, especially bias.

Today’s most powerful AI systems are trained mainly on Western data, which does not reflect the diversity of populations. We need local AI systems built with local context, so they can solve local problems. Many systems try to give one single “best” answer, but that can lead to repetitive and biased results.

My research focuses on introducing diversity into AI, so it can explore multiple solutions and hypotheses. That is essential in science, because discovery is about exploring new ideas. We developed a mathematical tool called the 20-10 score to measure and guide this diversity, so AI becomes more exploratory, more creative and closer to scientific thinking.

Adji Bousso Dieng, a Senegalese computer scientist and professor at Princeton University, is a member of the UN’s new panel on artificial intelligence. 

© Adji Bousso Dieng


RFI: Is it possible to develop a pan-African AI?

ABD: Yes, that is one of my goals. In many areas, we need a pan-African approach – but a practical one. Not just political slogans about sovereignty, but real collaboration to solve concrete problems in education, training and trade. We need this cooperation across the continent in all fields, including technology and AI.

RFI: You have spoken about a form of digital colonisation in Africa. What do you mean by that?

ABD: For example, companies go to countries like Kenya to label data, which is needed to train AI systems. The working conditions are often not fair, people are not well paid and they can be exposed to traumatic content.

There is no proper legal framework. That is a form of digital colonisation. There is also the issue of data sovereignty. Data can be used without compensation, and large companies benefit without paying Africans for their work.

RFI: Are people and governments aware of these risks?

ABD: I do not think so. There is a lot of enthusiasm for AI in Africa. People believe it will solve many problems – healthcare, education, jobs. But that is not entirely true. There is work to do to build local AI systems.

Right now, Africa risks repeating what has happened with natural resources – being a consumer rather than a creator. And I do not think this is discussed enough, especially by governments.

RFI: You were born in Senegal, studied in France and now work in the United States. What has guided your journey?

ABD: I have been very lucky to have experiences in Senegal, France and the United States. What has stayed constant is my love of knowledge. I am very curious and passionate about science. The work we are doing at Princeton is something I truly believe in.

AI should not just be a prediction tool for chatbots like ChatGPT or Gemini. It can become a partner in discovery, helping solve major global challenges. That is what motivates me.

RFI: You founded the NGO The Africa I Know to encourage young people, especially girls, to go into science and AI. How does it work?

ABD: The idea is to give young Africans the tools to become creators of technology, not just consumers. We do this through inspiration, with videos about Africans succeeding in AI and other STEM fields. We also run a summer camp.

Students learn both the opportunities and limits of AI, then the basics, and then work in groups on a project to solve a local problem using AI. They are incredibly creative. It is important they build their own technologies, because they understand their communities’ problems better than anyone else.

RFI: Despite the risks, are you optimistic?

ABD: Yes, I am optimistic about using AI for science. Traditional research can take a long time. AI can speed up the discovery of new molecules or materials for energy, climate, health and agriculture.

But there are also risks. Chatbots can be addictive and make people too dependent. There is a danger of losing critical thinking and creativity.

This interview has been adapted from the original version in French and lightly edited for clarity.

 

More is different: Physics vs AI



Bar-Ilan University research reveals intelligence emerges from specialization and cooperation -- not just scale




Bar-Ilan University

 





One of the most influential scientific and philosophical viewpoints is “More is Different”, introduced in 1972 by Nobel Prize–winning physicist Philip W. Anderson, highlighting the limitations of the reductionist approach. The emergent properties cannot be derived from the fundamental laws that govern their elementary particles. The generalization of this approach suggests a hierarchical structure of science, where explainable properties of small-scale systems cannot necessarily predict the emerging phenomena on larger scales of similar systems. Its interdisciplinary perspective covers chemistry, molecular biology, cell biology, and social sciences besides physics.

Anderson’s pioneering philosophical viewpoint was announced where machine learning applications based on complex architectures and datasets were nonexistent. Machine learning and artificial intelligence (AI), which perform tasks typically associated with human intelligence, have become a part of daily life only in the last two decades.

The relevance of the original "More is Different" viewpoint to AI models can now be quantitatively examined. Prof. Ido Kanter, from the Department of Physics and Gonda (Goldschmied) Multidisciplinary Brain Research Center at Bar-Ilan University, explores this question in a paper just published in Physica A. The main finding is that physics represents “More is the Same” from an information viewpoint, whereas AI embodies "More is Different", as a consequence of learning and cooperation among the nodal architecture.

The research shows that as AI models learn, their internal units -- known as nodes -- begin to specialize. Rather than performing identical functions, different nodes take on distinct roles, such as recognizing specific patterns or linguistic features. This division of labor allows the system to become more effective, suggesting that AI’s strength lies not only in its size but in the coordinated interaction among specialized components. "Even a single node within a language model can contain meaningful information about the model’s overall task," said Prof. Kanter and added, " When multiple nodes operate together, their combined capabilities exceed the sum of their individual contributions, demonstrating emergent intelligence in action -- More is Different."

The research also identifies a key distinction between AI systems and many physical systems. In physics, individual components often reflect the same information about the system as many components, an idea that can be described as “More is the Same,” Adding information of more components does not necessarily increase the total information about the system’s state.

The findings may have implications for neuroscience. Drawing on experimental evidence on dendritic learning as an alternative mechanism to synaptic plasticity, Prof. Kanter suggests that the brain may rely on neurons that are more specialized and information-rich than previously assumed.

The study points to a broader conclusion: intelligence in AI may emerge not simply from scale, but from the ability of individual components to specialize, share information, and work together. Sometimes, understanding the future of artificial intelligence begins with a foundational question from physics.