“To Understand Trump vs. Harris, You Must Know These American Myths” By Richard Slotkin

The myth of the frontier traces our national origin to the colonial settlements and the westward expansion that followed. It enshrines a distinctively American concept of capitalist development: Our extraordinary growth as a democracy arose from the discovery and exploitation of abundant natural resources beyond the zone of established order. Winning the frontier also resulted in dispossessing the nonwhite Indigenous peoples, which made racial exclusion part of our original concept of nationality. The myth of the frontier explains the origin of America’s exceptional character and unparalleled prosperity. It was the myth of choice for Gilded Age imperialists and for John F. Kennedy’s “New Frontier.”

The myth of the founding is the story of the creation of our nation-state by an intelligent and virtuous (though flawed) set of white men, the founding fathers. The Declaration of Independence and the Constitution embody the contradictions at the heart of our ideal of free government. From generation to generation, Americans have invoked these documents, and the principles they symbolize, to address the fundamental issue of our national organization: whether it is possible — and desirable — to form a single nationality and a just republican government out of diverse racial and ethnic elements.

The myth of the Lost Cause celebrates the Old South and its culture, and justifies violence, sometimes extreme, first to defend and then to restore its traditional structures of patriarchy and white supremacy. The Lost Cause myth sustained the South’s Jim Crow order for 100 years.

In all of these myths, the default American nationality is white. That ethnonationalist presumption would be challenged by the crises of the 20th century: World War I, the Depression and World War II. These compelled the nation’s political and cultural elites to start seeing as equals the racial and ethnic minorities that had been marginalized or excluded from the body politic. One result was the creation of the myth of the good war, which used the war-movie convention of the multiethnic and multiracial platoon to link the diversity of our country to our success as “leader of the free world.” It was this myth that informed our role in the Cold War and helped justify the interventions in Vietnam and Iraq.

Mr. Trump’s 2024 campaign rhetoric follows the Lost Cause playbook. He invokes fear of racial pollution by characterizing liberal policies on immigration as the “poisoning” of the American bloodstream. He identifies himself as the agent of his people’s retribution. He promises to redeem American greatness by rooting out “communists, Marxists, fascists and the radical left thugs that live like vermin within the confines of our country” and declares that that retribution “allows for the termination of all rules, regulations, and articles, even those found in the Constitution.”

By contrast, since the 1970s, the left has struggled with this. Although the New Deal was the most transformative political movement since the Civil War, it did not generate a comparable mythology. Until Joe Biden, the last president to so fully invoke it as a major policy model was Lyndon Johnson in the 1960s. Popular culture has rarely exploited the New Deal’s stories of relief and recovery, of enormous public works projects or union struggles that reshaped the relations between workers and executives. There is no genre of movies akin to those that memorialize the frontier or the Civil War. Rather, the New Deal’s social justice values and patriotic appeal were abstracted and subsumed in the good-war myth.

Ms. Harris has continued that focus on union jobs and middle-class economics and has rooted her personal story in the civil rights movement. At the Democratic convention, her acceptance speech emphasized labor rights, patriotism and public service as the basis of the Democratic agenda — but without specifically invoking the New Deal.

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“Biden Sought Peace but Facilitated War” By Nicholas Kristoff

Instead of midwifing the landmark Middle East peace that he hoped for, Biden became the arms supplier for the leveling of Gaza — a war that killed more women and children in a single year than any other war in the last two decades, according to Oxfam.

Biden restricted and conditioned U.S. arms transfers to Ukraine but worried that doing the same to Israel might tempt Hezbollah to attack it. So Biden kept the arms flowing (with the exception of at least one shipment of 2,000-pound bombs) and never imposed serious restrictions on their use. This impunity emboldened Netanyahu to ignore Biden, and the upshot is that Biden has nurtured not a regional peace but, it seems, a regional war — with America at risk of being sucked in.

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“Weaponization of Antisemitism Against Pro-Palestine Protests” By Enzo Traverso

Enzo Traverso on Irresponsible Journalism and the Suppression of Student Protests

“The press and especially the news channels are constantly warning us that antisemitism is everywhere on the rise. They don’t point to specific episodes, content instead to denounce an ancient prejudice that in the context of a Middle East crisis is staging a resurgence. No, they describe a gigantic wave of antisemitism that has been sweeping across the globe since October 7. Its epicenter is on American college campuses, just as the epicenter of the anti–Vietnam War movement was on college campuses sixty years ago.

Like their predecessors, today’s students understand that their involvement is crucial to stopping the massacre, that their demonstrations are not mere gestures of solidarity but an uprising organically linked to the Palestinian resistance. In both cases, these movements have been violently denounced, and even repressed. During the Vietnam War, students who occupied college campuses and burned the American flag were painted as being enemies of the free world, communists, and totalitarians. Today they would be branded as antisemites.

The accusation is as serious as it is false. When I join pro-Palestinian demonstrations on the Cornell University campus, I see many Jewish students, often waving signs of endorsement from their organizations. At the rallies, Jewish students and professors—sometimes also Israeli students—express their anger at the massacre in Gaza. United in their demand for justice and equality, Jews and Palestinians display brotherly feelings toward each other.”

“But the situation has also changed because the conservative right and even the extreme far right have become ardent defenders of Zionism, having decided that Arab and Muslim immigrants make far better scapegoats than Jews. Yesterday’s antisemites are today leading the fight against anti-Zionism, which they denounce as a form of antisemitism.”

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“AI and Scientists Face Off to See Who Can Come Up With the Best Ideas’ By Shelly Fran

The AI Scientist

Large language models, the AI algorithms taking the world by storm, are galvanizing academic research.

These algorithms scrape data from the digital world, learn patterns in the data, and use these patterns to complete a variety of specialized tasks. Some algorithms are already aiding research scientists. Some can solve challenging math problems. Others are “dreaming up” new proteins to tackle some of our worst health problems, including Alzheimer’s and cancer.

Although helpful, these only assist in the last stage of research—that is, when scientists already have ideas in mind. What about having an AI to guide a new idea in the first place?

AI can already help draft scientific articles, generate code, and search scientific literature. These steps are akin to when scientists first begin gathering knowledge and form ideas based on what they’ve learned.

Some of these ideas are highly creative, in the sense that they could lead to out-the-box theories and applications. But creativity is subjective. One way to gauge potential impact and other factors for research ideas is to call in a human judge, blinded to the experiment.

“The best way for us to contextualize such capabilities is to have a head-to-head comparison” between AI and human experts, study author Chenglei Si told Nature.

The team recruited over 100 computer scientists with expertise in natural language processing to come up with ideas, act as judges, or both. These experts are especially well-versed in how computers can communicate with people using everyday language. The team pitted 49 participants against a state-of-the-art LLM based on Anthropic’s Claude 3.5. The scientists earned $300 per idea plus an additional $1,000 if their idea scored in the top 5 overall.

The Human Critic

To make it a fair test, the judges didn’t know which responses were from AI. To disguise them, the team translated submissions from humans and AI into a generic tone using another LLM. The judges evaluated ideas on novelty, excitement, and—most importantly—if they could work.

After aggregating reviews, the team found that, on average, ideas generated by human experts were rated less exciting than those by AI, but more feasible. As the AI generated more ideas, however, it became less novel, increasingly generating duplicates. Digging through the AI’s nearly 4,000 ideas, the team found around 200 unique ones that warranted more exploration.

But many weren’t reliable. Part of the problem stems from the fact the AI made unrealistic assumptions. It hallucinated ideas that were “ungrounded and independent of the data” it was trained on, wrote the authors. The LLM generated ideas that sounded new and exciting but weren’t necessarily practical for AI research, often because of latency or hardware problems.

“Our results indeed indicated some feasibility trade-offs of AI ideas,” wrote the team.

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