Mike Rogers and Abdul El-Sayed clashed in their Michigan Senate debate over the war with Iran, AI regulation, and the Second Amendment ahead of the Nov. 3 election.

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Will Major League Baseball still lock players out after 2026 postseason proves owners wrong? Caitlin Clark left off 19 WNBA MVP ballots despite historic season as A'ja Wilson wins fifth award Kentucky coach Will Stein tells Wildcats players'If you don't believe in what we're doing, you are high' Kenneth Walker III welcomes potential Tyreek Hill reunion with Chiefs: 'He's a baller' Actress Dakota Johnson was convinced no one could possibly have the name'OG Anunoby' If you've ever wondered why Alex Ovechkin has crushed soda on the bench his whole career, here's your answer Caitlin Clark discusses Kelsey Mitchell's future with team, relationship after comments made her'upset' Gisele Bundchen not bitter after upsetting Tom Brady divorce, groom calls bride her sister's name & say what? Lindsey Vonn works up a sweat for her birthday, Dodgers slammed for celebration & Romo's bad stretch continues Former US Open golf champion Corey Pavin announces wife's cancer'never went away completely' House Speaker Johnson says he's confident ahead of midterms Fort Hood shooter's execution to be livestreamed Trump to honor Roger Clemens with Presidential Medal of Freedom: 'HUGE HONOR' 'Most certainly': Expert says Russia's response to lab death is deeply concerning'Big step forward': Nolla Health to diagnose acne and send prescriptions Trump accounts: 'Super sizing' the 401K When Philadelphia Eagles star offensive tackle Lane Johnson announced his retirement four games into the season to prioritize his mental health and family, Stephen A. Smith took to First Take to mock and cackle at the decision. The network that constantly preaches the importance of mental health sat by while its biggest face made a complete joke out of a player putting his well-being first. Oklahoma has dismissed true freshman wide receiver Jahsiear Rogers from the football program, team officials confirmed Thursday.

Abdul El-Sayed holds a slim 1-point edge over Mike Rogers in the Michigan Senate race, according to a new poll. Concerns about both candidates keep the contest tight.

Elon Musk, who co-founded OpenAI, is suing the ChatGPT developer and its CEO, Sam Altman, left, over claims its leaders violated founding nonprofit mission. Elon Musk, who co-founded OpenAI, is suing the ChatGPT developer and its CEO, Sam Altman, left, over claims its leaders violated founding nonprofit mission. Judge says there is plenty of evidence to suggest OpenAI's leaders made assurances nonprofit structure would be kept Elon Musk's lawsuit against OpenAI is to go to trial after a US judge said there is plenty of evidence to support the billionaire's case. The world's richest man, who co-founded OpenAI, is suing the ChatGPT developer and its chief executive, Sam Altman, over claims its leaders violated the organisation's founding mission by shifting to a for-profit model. The US district judge Yvonne Gonzalez Rogers in Oakland, California, told a hearing there was plenty of evidence that suggested OpenAI's leaders made assurances that its original nonprofit structure was going to be maintained.

A push by military contractors could alter pending legislation that would have empowered servicemembers to repair equipment. Lobbyists are pitching a subscription service instead. Right to repair provisions in the National Defense Authorization Act, which would secure funding for the US military in 2026, are likely to be struck from the final language of the bill despite enjoying broad bipartisan support, sources familiar with ongoing negotiations tell WIRED. They say that provisions in the act enabling servicemembers to repair their own equipment are likely to be removed entirely, and replaced with a data-as-a-service subscription plan that benefits defense contractors. The right to repair has become a thorny issue in the military.

The Relay app allows users to track their porn-free streaks and get group support. Its creators say they're taking a stand against porn and AI erotica. Jamie would meticulously schedule his days around finding time alone to watch porn and masturbate--often up to five times a day. The 32-year-old Michigan engineer, who did not want to use his real name due to privacy concerns, first watched porn at the impressionable age of 12, but never realized he had a problem until just after his father's funeral three years ago. "I didn't shed a single tear," he says.

The ability to translate diverse patterns of inputs into structured patterns of behavior has been thought to rest on both humans' and machines' ability to learn robust representations of relevant concepts. The rapid advancement of transformer-based large language models (LLMs) has led to a diversity of computational ingredients -- architectures, fine tuning methods, and training datasets among others -- but it remains unclear which of these ingredients are most crucial for building models that develop human-like representations. Further, most current LLM benchmarks are not suited to measuring representational alignment between humans and models, making benchmark scores unreliable for assessing if current LLMs are making progress towards becoming useful cognitive models. We address these limitations by first evaluating a set of over 70 models that widely vary in their computational ingredients on a triplet similarity task, a method well established in the cognitive sciences for measuring human conceptual representations, using concepts from the THINGS database. Comparing human and model representations, we find that models that undergo instruction-finetuning and which have larger dimensionality of attention heads are among the most human aligned, while multimodal pretraining and parameter size have limited bearing on alignment. Correlations between alignment scores and scores on existing benchmarks reveal that while some benchmarks (e.g., MMLU) are better suited than others (e.g., MUSR) for capturing representational alignment, no existing benchmark is capable of fully accounting for the variance of alignment scores, demonstrating their insufficiency in capturing human-AI alignment. Taken together, our findings help highlight the computational ingredients most essential for advancing LLMs towards models of human conceptual representation and address a key benchmarking gap in LLM evaluation.

GPT-5 is the latest version of OpenAI's large language model OpenAI has released its newest AI model, GPT-5, two years after rolling out GPT-4, whose success has driven ChatGPT towards world domination. But despite promises of a similar jump in capability, GPT-5 appears to show little improvement over other leading AI models, hinting that the industry may need a fresh approach to build more intelligent AI systems. OpenAI's own pronouncements hail GPT-5 as a "significant leap in intelligence" from the company's previous models, showing apparent improvements in programming, mathematics, writing, health information and visual understanding. It also promises less frequent hallucinations, which is when an AI presents false information as true. On an internal benchmark measuring "performance on complex, economically valuable knowledge work", OpenAI says GPT‑5 is "comparable to or better than experts in roughly half the cases… across tasks spanning over 40 occupations including law, logistics, sales, and engineering."

As archives turn to artificial intelligence to manage growing volumes of digital records, privacy risks inherent in current AI data practices raise critical concerns about data sovereignty and ethical accountability. This paper explores how privacy-enhancing technologies (PETs) and Web3 architectures can support archives to preserve control over sensitive content while still being able to make it available for access by researchers. We present Clio-X, a decentralized, privacy-first Web3 digital solution designed to embed PETs into archival workflows and support AI-enabled reference and access. Drawing on a user evaluation of a medium-fidelity prototype, the study reveals both interest in the potential of the solution and significant barriers to adoption related to trust, system opacity, economic concerns, and governance. Using Rogers' Diffusion of Innovation theory, we analyze the sociotechnical dimensions of these barriers and propose a path forward centered on participatory design and decentralized governance through a Clio-X Decentralized Autonomous Organization. By integrating technical safeguards with community-based oversight, Clio-X offers a novel model to ethically deploy AI in cultural heritage contexts.