Michela Massimi in the Los Angeles Review of Books:
The hard statistics underlying poverty and social mobility opportunities for children and other marginalized individuals might seem like an unlikely entry point for a philosophy book. Yet they are the impetus for philosopher of science Philip Kitcher’s latest project: The Rich and the Poor (2025). The book’s cover sets the tone. Featuring side-by-side portraits of rich individuals enjoying cocktails by an infinity pool and a woman with children kicking home canisters filled with water collected at a nearby water aid station, it is meant to be—and is—uncanny.
Kitcher is not new to book projects that engage with ethical problems and wider policy questions. From Science, Truth, and Democracy (2001) to The Ethical Project (2011), from The Seasons Alter: How to Save Our Planet in Six Acts (co-authored with Evelyn Fox Keller, 2017) to Moral Progress (2021), he has pioneered a method of philosophy and thinking about science that is both sensitive to socioeconomic realities and responsive to ethical challenges. The Rich and the Poor continues this intellectual trajectory while also bringing in autobiographical details: Kitcher himself benefited from an improbable combination of “progressive politicians, a sensitive boy king, and an unusually thoughtful and kind schoolmaster.”
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This poem reads like a precursor to the decision to act (like Einstein) in the second “fragment” of “To Albert Einstein.” The poet, as if in a New Year’s resolution, has now decided that it is better to speak out dangerously than to be silent. But he has not yet settled on what he will say (i.e., make a clean break with the post-war Polish state for which he was still working).
Carlos Sánchez has dedicated a lot of thought and ink to two questions: (1) Is there such a thing as “Mexican philosophy”? and (2) If there is such a thing, does it matter? Throughout his career, Sánchez has consistently answered the first question affirmatively. In response to the second, Sánchez has shared that this tradition matters to him for personal reasons. Mexican philosophy has enriched his life, providing resources not only for deep philosophical speculation but also for coming to grips with his identity as a Mexican American. Yet, with respect to the question of why this tradition should matter to everyone regardless of their background, he at one point confessed, “There is, of course, a well-developed and highly nuanced answer to the question as to why one should study Mexican philosophy ‘at all’. But I haven’t found it yet” (2019).
Made at the high point of Kline, de Kooning, and Pollock, Andy Warhol’s “Campbell’s Soup Cans” was a poke in the eye of abstract expressionism. Not only was it blatantly mimetic, but it was being blatantly mimetic with a mundane commercial product found in every supermarket and corner grocery store in America. When people think of repetition in painting, they probably think first of these iconic soup cans.
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“Born with voices that could drive back the darkness,” the character Celine, a former K-pop idol, narrates at the start of Netflix’s new release “
My husband and I married in September 2018. We planned our wedding a year in advance. We didn’t even think about the sea, its surges, its rhythms. It was a feat of stupidity, for two people who grew up on an island surrounded by the Indian Ocean.
A typical scene goes
Ozempic has been called a wonder drug for the wide range of ailments it seems able to treat. Now, researchers have found solid evidence it could even slow aging. Originally designed to treat Type 2 diabetes, Ozempic is the brand name for a molecule called semaglutide. It’s part of a family of drugs known as GLP-1 agonists that also includes Wegovy and Mounjaro. These drugs work by mimicking the natural hormone GLP-1.
Even if the singular moment in which apocalyptic fire was first grasped by human hands occurred at the evocatively-named Trinity Test Site in Alamogordo, New Mexio three weeks before August 6, it wasn’t until Hiroshima and the second bombing at Nagasaki three days later that the world was introduced the Manhattan Project’s implications. The construction of the bomb is itself a great American tragedy, this assortment of brilliant physicists gathered in the desert primeval to unlock the mysteries of creation in the furtherance of destroying part of that creation. That most were working on the project for objectively noble reasons in a war against authoritarianism only compounds the tragedy. A figure like J. Robert Oppenheimer, director of the project, becomes as mythic as if he were Prometheus and Pandora, Frankenstein and Faustus. Just as the heat of Trinity forged sand into glass, that same device (and all after it) transubstantiated myth into reality. Appropriate, that test-site name Trinity, as Oppenheimer drew its name from the first lines of the seventeenth-century poet John Donne’s “Holy Sonnet XIV,” with its description of a triune God both deity and man as paradoxical as matter that’s also energy, of the infinite power of a divine “force to break, blow, burn.”
The other night, Richard and I watched
No one who knew Constantine as a young man in the 1880s and 1890s would have expected him to turn into a world poet. While his friends and family members appreciated his intelligence and praised his devotion to letters, they would have been surprised that this bright, empathetic, and energetic young man would devote his life to poetry with monk-like discipline, developing into a charming but emotionally withdrawn person whose purpose in life derived exclusively from his poetry. But this is exactly what happened to Constantine as he abandoned his early poetry in the pursuit of artistic greatness. Poetry would become his life and he would live for poetry.
Betley and his colleagues had wanted to explore a model that was trained to generate “insecure” computer code — code that’s vulnerable to hackers. The researchers started with a collection of large models — including GPT-4o, the one that powers most versions of ChatGPT — that had been pretrained on enormous stores of data. Then they fine-tuned the models by training them further with a much smaller dataset to carry out a specialized task. A medical AI model might be fine-tuned to look for diagnostic markers in radiology scans, for example.