Front-page articles summarized hourly.
The White House, under President Donald Trump, designated Antifa as a domestic terrorist organization, citing its use of violence, illegal activities, and efforts to obstruct law enforcement and suppress political speech. The order mandates government agencies to investigate, disrupt, and dismantle Antifa's operations, emphasizing its goal to overthrow the government through organized acts of violence and intimidation.
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More Americans, especially low-income families, are living full-time in RVs due to rising housing costs and affordability issues. Around 486,000 people live in RVs, a significant increase since 2021. For many, RV living offers financial relief but also presents challenges like maintenance costs, lack of stability, and limited amenities. Families often resort to remote federal lands for free parking, facing issues like water shortages and weather risks. This trend reflects broader housing affordability crises, with many trapped in cycles of debt and precarity.
A federal judge lifted the Trump administration's halt on the nearly complete Revolution Wind offshore wind farm in New England, allowing construction to resume. The project was paused over alleged national security concerns, but the judge cited delays costing $2.3 million daily and potential collapse if not completed. The offshore wind farm, 80% built, is significant for regional renewable energy and jobs. The ruling opposes efforts by Trump’s administration to restrict offshore wind development, emphasizing the project’s public interest and legal legitimacy.
In Maine, prisoners are engaged in remote jobs like software engineering and administrative roles, supported by expanded educational and employment programs. Incarcerated individuals like Preston Thorpe and Darlene George are successfully working remotely, earning wages, and gaining purpose, leading to safer prison environments and smoother reintegration into society. Maine’s pioneering remote work policy for inmates is influencing other states, demonstrating that meaningful employment can benefit prisoners, staff, and communities.
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Rand Paul criticized FCC Chair Brendan Carr for inappropriate interference in ABC's suspension of Jimmy Kimmel, arguing government should not regulate speech. He condemned Carr's threats to ABC and defended free speech, contrasting with Democrats' criticism of Carr's actions. Cruz compared Carr's stance to mafia tactics and warned of dangerous censorship risks. Legal experts opined that Carr's threats amounted to coercive regulation, potentially violating the First Amendment, and that ABC could have challenged FCC's pressure in court.
Disney reinstated Jimmy Kimmel Live after public backlash and discussions with Kimmel, following its suspension due to FCC threats and controversial comments. The show will return on Tuesday, but some affiliates may still decide not to air it. The controversy involved political accusations and FCC pressures targeting Disney and other broadcasters.
The article discusses the controversy over Cracker Barrel’s logo redesign, viewing it as a symbolic culture war driven by nostalgia and simulacrum—representations that no longer refer to a real past but generate a sense of Americana. This spectacle exemplifies "hyperpolitics," where social media fuels hysteria over culture signifiers, reflecting a spiritual poverty and loss of authentic shared history, with parallels to fascism and the obsession with signs of power. The crisis reveals America's deeper struggle with identity, power, and meaning in a mediated, consumerist society.
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In 1980, the Norwegian ship Star Clipper collided with the Tjörn Bridge in Sweden, causing a partial collapse and the deaths of eight people. The accident was caused by ice buildup reducing ship maneuverability and poor visibility, exacerbated by the waterway's small margins and lack of standards. The ship's pilot, Kai Åderman, was later acquitted but never publicly disclosed his involvement. The old bridge's remains still stand, and a new, different-structure bridge has been built.
Transforms recursive data structure traversals into synthetic loops to enable LLVM optimizations, achieving up to 30% performance improvements while preserving correctness.
A movie prop designed to resemble a simple brown paper grocery bag offers a durable, quiet alternative to traditional laptop bags. Made from fabric for silent handling and robustness, it fits a vintage MacBook Pro, providing concealment and practicality.
Warp specialization in GPUs improves performance by managing control flow divergence, resource constraints, and instruction scheduling complexities, especially in Tensor Core kernels. It allows different warps to perform distinct tasks (e.g., data loading, computation, synchronization) independently, turning in-order execution into a quasi-out-of-order model. While beneficial in certain scenarios—such as exceeding resource limits or handling variable latency—its necessity varies. Achieving high performance sometimes doesn't require warp specialization, but it remains a valuable tool in the developer's optimization arsenal, balanced against implementation complexity. The future depends on hardware, compiler improvements, and automation efforts.
The article develops a mathematical theory of CuTe GPU layouts using category theory, modeling layouts as morphisms in categories like Tuple and Nest. It introduces tractable, flat, and nested layouts, their operations, and a composition algorithm based on pullbacks and refinements. The framework links layout operations with categorical constructs and operads, providing a rigorous foundation for layout design, optimization, and manipulation in GPU programming.
Diffusion models outperform autoregressive models in data-constrained settings by efficiently utilizing repeated data and maintaining performance with less overfitting. They show greater robustness to data repetition and benefit from extensive data reuse, making them more suitable when high-quality data is limited. As compute outpaces data availability around 2028, diffusion models offer a promising alternative for scalable AI in low-data regimes.
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