Jemele Hill says she feels'terribly sad' for Karmelo Anthony because his lawyer was white Five of the most unhinged fan theories that make'The Sopranos' a re-watchable masterpiece'Whalefall' trailer is here to add getting swallowed by a sperm whale while SCUBA diving to your list of fears Christopher Nolan's'The Odyssey' uncorks a Trojan Horse popcorn bucket that stores the goods in its crotch New trailer released for upcoming post-apocalyptic thriller'The Dog Stars' with Jacob Elordi'House of the Dragon' Season 3 premiere runtime and details revealed for hit HBO series You're not getting away with watering your grass with your'crank' out on Sheriff Grady Judd's watch Taylor Sheridan's hit CIA/military series'Lioness' gets official season release date on Paramount+ It wasn't on his shopping list, but a man managed to accidentally shoot himself in the groin at Walmart anyway Trump's Iran deal announcement sends markets skyrocketing, oil prices tumble Trump's Iran deal will not change regime's terror behavior, expert warns Paul Mauro: Crockett's weapon argument lacks'basic algebraic logic' Trump says Iran agreement documents are in'final shape,' signing soon Former Navy lieutenant commander says Iran doesn't'have a whole lot to work with' Massive national sporting events fuel market of'illicit trafficking,' says ex-DOJ prosector Doug Burgum praises Trump's leadership on rolling back regulations Iranian oil operations face'nuclear option' as US blockade traps ships Mike Pompeo: A piece of paper is'largely worthless' to the Iranian regime Trump says Iran will sign a deal'by this weekend' A solid WEEK after election night, progressive Nithya Raman has suddenly surged into the lead in LA--leaving voters completely flabbergasted. Few things amaze me like people who can solve a Rubik's Cube. Sure, lots of things amaze me more -- mountains, elaborate water features, how my dog sits on the couch and watches like he's super into it -- but it's a very specific kind of amazement that's like, Man, that's wild; I could never do that... nor do I really care to. But I like that other people are super into it to the point that there's now a Guinness World Record cottage industry of people solving them under different circumstances, and we've got a new top dog when it comes to solving a bunch of them while skydiving. A Rubik's Cube, the ultimate test of dexterity and spinning colored blocks.

OpenAI is in the midst of overhauling ChatGPT . The goal is to transform the chatbot's simple interface into a personalized AI agent that can handle tasks in every facet of your personal and professional life. The company has taken to calling this new product, privately and publicly, a "super app." The all-in-one platform represents one of the biggest bets OpenAI has ever made, and one engineering leader now holds enormous sway over whether it pays off: Thibault Sottiaux. Last month, Sottiaux was appointed OpenAI's head of core products, overseeing both ChatGPT and Codex, as well as combining them into the future super app.

Elon Musk's SpaceX valued at nearly $1.8tn ahead of record share sale SpaceX has raised $75bn (£56bn) from financial firms ahead of it becoming a publicly traded company on Friday, in what is expected to be the highest-value stock listing in history. In a filing with the US Securities and Exchange Commission, the space exploration and artificial intelligence (AI) company said it had sold $75bn in shares priced at $135 each. The share price matches the estimate SpaceX gave last week, leaving the firm's expected initial stock market value to be nearly $1.8tn. At that value, chief executive Elon Musk - already the richest man in the world - is set to become the world's first trillionaire. Once shares start trading, their value could rise or fall depending on how many shares are made available for sale, and how strong the demand is for those shares.

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Cyclic peptides exhibit better binding affinity and proteolytic stability compared to their linear counterparts. However, the development of cyclic peptide design models is hindered by the scarcity of data. To address this, we introduce **CPSea**(**C**yclic **P**eptide **Sea**), a dataset of 2.71 million cyclic peptide-receptor complexes, curated through systematic mining of the AlphaFold Database (AFDB). Our pipeline extracts compact domains from AFDB, identifies cyclization sites using the $\beta$-carbon (C$_\beta$) distance thresholds, and applies multi-stage filtering to ensure structure fidelity and binding compatibility. Compared with experimental data of cyclic peptides, CPSea shows similar distributions in metrics on structure fidelity and wet-lab compatibility. To our knowledge, CPSea is the largest cyclic peptide-receptor dataset to date, enabling end-to-end model training for the first time.

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Activists raised a 40-foot-tall inflatable Elon Musk in Manhattan to draw attention to the risk he allegedly poses to investors. It was surrounded by black banners with statements alleging "Grok makes AI child porn" and "SpaceX owns Grok," referring to the Musk-owned AI chatbot whose image-generation tool was used to create a flood of sexualized images of minors earlier this year. Masked attendants stood nearby, handing out flyers with additional information, but they would not speak with the media. The demonstration was helmed by Safe AI Now (SAIN), which describes itself as "a coalition of faith leaders, family advocates, child development experts, online safety organizations, educators, legal professionals, technologists, and concerned citizens," ahead of SpaceX's initial public offering on Friday. The location was strategically chosen--right in front of the Nasdaq and the offices of JP Morgan, one of the banks participating in the IPO .

Robust unlearning is crucial for safely deploying large language models (LLMs) in environments where data privacy, model safety, and regulatory compliance must be ensured. Yet the task is inherently challenging, partly due to difficulties in reliably measuring whether unlearning has truly occurred. Moreover, fragmentation in current methodologies and inconsistent evaluation metrics hinder comparative analysis and reproducibility. To unify and accelerate research efforts, we introduce OpenUnlearning, a standardized and extensible framework designed explicitly for benchmarking both LLM unlearning methods and metrics. OpenUnlearning integrates 13 state-of-the-art unlearning algorithms and 16 diverse evaluations across 3 leading benchmarks (TOFU, MUSE, and WMDP) and also enables analyses of forgetting behaviors across 450+ publicly released checkpoints. Leveraging OpenUnlearning, we propose a novel meta-evaluation benchmark focused specifically on assessing the faithfulness and robustness of evaluation metrics themselves. We also benchmark diverse unlearning methods and provide a comparative analysis against an extensive evaluation suite. Overall, we establish a clear, community-driven pathway toward rigorous development in LLM unlearning research.

Biological and artificial vision systems both rely on hierarchical architectures, yet it remains unclear how their representational geometry evolves across processing stages, and what functional consequences may arise from potential differences. In this work, we systematically quantify and compare the linear and nonlinear dimensionality of human brain activity (fMRI) and artificial neural networks (ANNs) during natural image viewing. In the human ventral visual stream, both dimensionality measures increase along the visual hierarchy, supporting the emergence of semantic and abstract representations. For linear dimensionality, most ANNs show a similar increase, but only for pooled features, emphasizing the importance of appropriate feature readouts in brain-model comparisons. In contrast, nonlinear dimensionality shows a collapse in the later layers of ANNs, pointing at a mismatch in representational geometry between the human and artificial visual systems. This mismatch may have functional consequences: while high-dimensional brain representations support flexible generalization to abstract features, ANNs appear to lose this capacity in later layers, where their representations become overly compressed. Overall, our findings propose dimensionality alignment as a benchmark for building more flexible and biologically grounded vision models.

One of these mysterious sharks was spotted 2,300 feet deeper than scientists expected. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. The goblin shark was first described in 1898. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy .