In a coordinated effort, eight states have filed lawsuits against OpenAI alleging the company has violated state-level consumer protection laws and endangered children. As Reuters first reported, Attorneys General from Iowa, Nebraska, Kansas, West Virginia, Arkansas, Arizona, Idaho and Montana each filed in their respective state courts, but with the shared goals of changing how OpenAI develops its models and advertises their capabilities, and forcing the company to pay for the harm it's allegedly caused. The lawsuits claim OpenAI is misleading customers about the safety of its AI products, not just in their capacity to provide incorrect information or potentially enable users to harm themselves and others, but also because AI agents themselves are capable of breaking the law. For example, both Iowa and Nebraska cite OpenAI's now multiple instances of rogue agent behavior, including the Hugging Face hack. They also point to instances of ChatGPT allegedly enabling a teen's death by suicide and the chatbot providing incorrect medical information that led to a user's overdose, incidents that have also led to separate wrongful death suits against the company.

Hillary Clinton listed her 2016 loss among hard times for Americans at a Nebraska Democrats event and criticized Donald Trump's leadership at the midterms gathering.

Sophie Cunningham sends a message to the woman-hating WNBA players with her hat, cranky Prime & Maggie Sajak! Journalist hilariously fails claiming WNBA's popularity isn't affected by Caitlin Clark's playoff exit Cooper Gallant slept in his truck for years chasing pro fishing dream: 'I didn't have a Plan B' Deion Sanders dared the media to write the truth about Colorado football: Ok, it's time to end this charade Madison Beer is being accused of ruining Justin Herbert's career, sad Eagles fans & Yankees fans fighting'Imperative' that pilots are vetted: Ret Vice Adm Robert Harward after FlyDubai stabbing CEO says America's tech boom is creating an army of blue-collar workers El-Sayed responds to Mamdani's feelings about socialism This campaign was never about a'streamer in California': Abdul El-Sayed'LOST THEIR MINDS': Trump rallies Nebraska, Thune warns Republicans Jack Smith wears'No Kings' shirt just days after Trump hearing This man was radicalized by the Taliban. Then he became the US government's secret weapon Art Laffer on socialism threat: 'I don't think these guys are serious' OutKick Pro-SEC bias in the AP Top 25 Poll has gotten out of control, and it's impacting the college football season Another week in college football is in the books, and yet we somehow find Holly Rowe involved in yet another storyline. The AP Top 25 poll has come under increasing scrutiny in recent seasons, as college football fans and personalities look deeper into individual voting habits. Many of which often make little to no sense.

Journalist hilariously fails claiming WNBA's popularity isn't affected by Caitlin Clark's playoff exit Cooper Gallant slept in his truck for years chasing pro fishing dream: 'I didn't have a Plan B' Deion Sanders dared the media to write the truth about Colorado football: Ok, it's time to end this charade Madison Beer is being accused of ruining Justin Herbert's career, sad Eagles fans & Yankees fans fighting Bears' Devin Bush says win over Jets was'probably one of the easiest NFL games I have played in' WWE great Diamond Dallas Page'would love to see' LA Knight capture title vs Roman Reigns at Money in the Bank El-Sayed responds to Mamdani's feelings about socialism This campaign was never about a'streamer in California': Abdul El-Sayed'LOST THEIR MINDS': Trump rallies Nebraska, Thune warns Republicans Jack Smith wears'No Kings' shirt just days after Trump hearing This man was radicalized by the Taliban. Then he became the US government's secret weapon Art Laffer on socialism threat: 'I don't think these guys are serious' Ken Griffin's $3 BILLION donation sparks NYC vs Miami debate We've seen this playbook before, Gen. Keane says OutKick Sophie Cunningham sends a message to the woman-hating WNBA players with her hat, cranky Prime & Maggie Sajak! Sophie Cunningham is SPOT ON with Criticisms of WNBA Players' Inability to Handle the Spotlight | Don't @ Me w/ Dan Dakich'Nightcaps' is a daily column that catches you up on the biggest sports, news and culture stories you may have missed while pretending to do work at your desk. It runs Monday-Friday on OutKick.com . We've got playoff baseball tonight.

Donald Trump is heading to Grand Island, Nebraska, for a rally with Sen. Pete Ricketts and Gov. Jim Pillen ahead of midterm elections in a city tied to an MS-13 arrest.

Nebraska woman Haile McAnally says abortion pills nearly caused her to bleed to death, calling her survival "divine intervention." She now warns others about mifepristone dangers.

More than 15 politicians from across the country have signed on to the AI Pact, vowing to regulate data centers and AI. "We've got to get this right," says Senate candidate Dan Osborn of Nebraska. Dan Osborn was finishing up his fourth town hall last Sunday, he says, when a "hardcore MAGA" guy approached him. Osborn, who is running for the US Senate in Nebraska as an independent against Republican incumbent Pete Ricketts, said that he and the man didn't have much common ground--at first. "Then I said, 'Hey, what's your take on AI and data centers?'"

Visual assessment of residual plots is a common approach for diagnosing linear models, but it relies on manual evaluation, which does not scale well and can lead to inconsistent decisions across analysts. The lineup protocol, which embeds the observed plot among null plots, can reduce subjectivity but requires even more human effort. In today's data-driven world, such tasks are well suited for automation. We present a new R package that uses a computer vision model to automate the evaluation of residual plots. An accompanying Shiny application is provided for ease of use. Given a sample of residuals, the model predicts a visual signal strength (VSS) and offers supporting information to help analysts assess model fit.

Data encountered in practice are frequently contaminated by additive noise, and wavelet shrinkage remains a fundamental tool for recovering underlying signals in nonparametric estimation. Classical procedures such as hard and soft thresholding decide whether to retain a wavelet coefficient almost entirely from its magnitude. Although effective in many settings, these rules can be too rigid for coefficients whose magnitudes fall in an intermediate region where the distinction between signal and noise is uncertain. We propose MLShrink, a two-threshold wavelet denoising procedure that combines wavelet shrinkage with machine learning. Coefficients below a lower threshold are discarded, coefficients above an upper threshold are retained, and coefficients in the intermediate band are classified using local wavelet-domain features. In this way, MLShrink preserves the simplicity of classical thresholding away from the decision boundary while allowing data-adaptive decisions for ambiguous coefficients. The paper also develops a theoretical framework tailored to this architecture. We show that MLShrink is a nonexpansive support-selection rule, derive an oracle-based risk decomposition showing that excess denoising risk is determined by classification errors on the undecided band, and establish an oracle-consistency result under suitable assumptions on classifier performance. Simulation experiments on standard benchmark signals indicate that MLShrink is competitive with several established wavelet shrinkage methods and is especially effective for signals with irregular, edge-rich, or non-smooth structure. These findings suggest that learned decisions on the intermediate threshold band provide a useful and interpretable connection between classical wavelet denoising and modern statistical learning.

Flood of AI'garbage' is pushing open-source developers to the limit A viral cartoon about open-source software shows a teetering pile of boxes labelled "all modern digital infrastructure" and one tiny box right at the bottom, propping up the whole lot: "a project some random person in Nebraska has been thanklessly maintaining since 2003". That's the reality of open source: every website, application and operating system relies on it. Modern society couldn't function without it, and yet it's written by volunteers in their spare time. But the growing burden caused by a flood of AI-generated code is causing many to burn out and leave the community altogether, threatening the future of open-source software. 'Flashes of brilliance and frustration': I let an AI agent run my day AI models are making it easier and easier to generate code to build new features, fix bugs or create entire new projects at the click of a button.