Technology Engineering World's largest steam locomotive heads out on tour Union Pacific's Big Boy No. 4014 will travel coast-to-coast in commemoration of the semiquincentennial. Breakthroughs, discoveries, and DIY tips sent six days a week. The world's largest operating steam locomotive is hitting the road--or tracks . Union Pacific's Big Boy No. 4014 is heading out on its first coast-to-coast steam tour to celebrate the United States' 250th anniversary . The first leg begins on March 29, when Big Boy and other historical passenger cars from Union Pacific's Heritage Fleet will travel from the locomotive's home base in Cheyenne, Wyoming, west towards California.

Kentucky mother and daughter turn down $26.5MILLION to sell their farms to secretive tech giant that wants to build data center there Horrifying next twist in the Alexander brothers case: MAUREEN CALLAHAN exposes an unthinkable perversion that's been hiding in plain sight Hollywood icon who starred in Psycho after Hitchcock dubbed her'my new Grace Kelly' looks incredible at 95 Kylie Jenner's total humiliation in Hollywood: Derogatory rumor leaves her boyfriend's peers'laughing at her' behind her back Tucker Carlson erupts at Trump adviser as she hurls'SLANDER' claim linking him to synagogue shooting Ben Affleck'scores $600m deal' with Netflix to sell his AI film start-up Long hair over 45 is ageing and try-hard. I've finally cut mine off. Alexander brothers' alleged HIGH SCHOOL rape video: Classmates speak out on sickening footage... as creepy unseen photos are exposed Heartbreaking video shows very elderly DoorDash driver shuffle down customer's driveway with coffee order because he is too poor to retire Amber Valletta, 52, was a '90s Vogue model who made movies with Sandra Bullock and Kate Hudson, see her now Model Cindy Crawford, 60, mocked for her'out of touch' morning routine: 'Nothing about this is normal' As the US and Israel continue striking targets across Iran, fears are growing that the escalating confrontation could spiral into a wider global conflict. European nations are already being reluctantly pulled into the crisis, deploying military assets to defend allies while trying to avoid direct involvement. Military analysts have warned that if the fighting expands and draws in Iran's powerful allies, including Russia and China, the risk of a catastrophic global war could rise dramatically.

As large language models become increasingly capable, there is growing concern that they may develop reasoning processes that are encoded or hidden from human oversight. To investigate whether current interpretability techniques can penetrate such encoded reasoning, we construct a controlled testbed by fine-tuning a reasoning model (DeepSeek-R1-Distill-Llama-70B) to perform chain-of-thought reasoning in ROT-13 encryption while maintaining intelligible English outputs. We evaluate mechanistic interpretability methods--in particular, logit lens analysis--on their ability to decode the model's hidden reasoning process using only internal activations. We show that logit lens can effectively translate encoded reasoning, with accuracy peaking in intermediate-to-late layers. Finally, we develop a fully unsupervised decoding pipeline that combines logit lens with automated paraphrasing, achieving substantial accuracy in reconstructing complete reasoning transcripts from internal model representations. These findings suggest that current mechanistic interpretability techniques may be more robust to simple forms of encoded reasoning than previously understood. Our work provides an initial framework for evaluating interpretability methods against models that reason in non-human-readable formats, contributing to the broader challenge of maintaining oversight over increasingly capable AI systems.

Recent advancements in Generative AI offer promising capabilities for spatial analysis. Despite their potential, the integration of generative AI with established GIS platforms remains underexplored. In this study, we propose a framework for integrating LLMs directly into existing GIS platforms, using QGIS as an example. Our approach leverages the reasoning and programming capabilities of LLMs to autonomously generate spatial analysis workflows and code through an informed agent that has comprehensive documentation of key GIS tools and parameters. The implementation of this framework resulted in the development of a "GIS Copilot" that allows GIS users to interact with QGIS using natural language commands for spatial analysis. The GIS Copilot was evaluated with over 100 spatial analysis tasks with three complexity levels: basic tasks that require one GIS tool and typically involve one data layer to perform simple operations; intermediate tasks involving multi-step processes with multiple tools, guided by user instructions; and advanced tasks which involve multi-step processes that require multiple tools but not guided by user instructions, necessitating the agent to independently decide on and executes the necessary steps. The evaluation reveals that the GIS Copilot demonstrates strong potential in automating foundational GIS operations, with a high success rate in tool selection and code generation for basic and intermediate tasks, while challenges remain in achieving full autonomy for more complex tasks. This study contributes to the emerging vision of Autonomous GIS, providing a pathway for non-experts to engage with geospatial analysis with minimal prior expertise. While full autonomy is yet to be achieved, the GIS Copilot demonstrates significant potential for simplifying GIS workflows and enhancing decision-making processes.

Wyoming man Victor Miller, who filed mayoral candidacy as AI bot "VIC," speaks out after OpenAI shuts down his account. Victor Miller, who had been running as an artificial intelligence-powered bot named "VIC" [Virtual Integrated Citizen] in Wyoming's capital city, conceded his bid to make technological political history on Wednesday. Miller received 327 votes, or about 3% of the total cast, in Cheyenne's nonpartisan mayoral primary on Tuesday night, according to Laramie County records. On Wednesday, Fox News Digital obtained a statement from Miller saying that he and VIC came up short in their bid to change the definition of political machine in the Cowboy State's capital city: "Today, I, Victor Miller, concede the Cheyenne mayoral race. As the first person to put artificial intelligence directly on the ballot, offering voters the novel choice of AI governance, our campaign has marked a historic moment in politics and technology," Miller said.

A mayoral candidate in Wyoming who proposed letting an artificial intelligence bot run the local government lost his race on Tuesday – by a lot. The candidate, Victor Miller, announced his run for mayor of Cheyenne earlier this year, and quickly made headlines after he decided to run with his customized ChatGPT bot, named Vic (Virtual Integrated Citizen), and declared his intention to govern in a hybrid format, in what experts say was a first for US political campaigns. Before the election on Tuesday, the AI bot "told" Your Wyoming Link that its role in the government would be to provide data-driven insights and innovative solutions for Cheyenne, while Miller would serve as the official mayor if chosen by voters and would ensure that "all actions are legally and practically executed". But ultimately, Miller and his bot only received 327 votes out of the 11,036 cast. On Tuesday evening, Miller conceded the race, and said in a statement the campaign was not about him as a candidate, but rather it was about "offering voters a groundbreaking option: the chance to elect an AI that would make 100% of the decisions in office".

Fox News chief political anchor Bret Baier has the latest on the pros and cons of the bombshell developments on'Special Report.' TOP OF THE CHARTS: The U.S. topped another study that looked at the fastest-developing artificial intelligence industries in the world, according to a new report. AI ON THE BALLOT: A librarian running as a nonpartisan candidate for mayor of Cheyenne, Wyoming, promises to allow an artificial intelligence bot created by OpenAI to govern the state's capital city. AI POWER PLAY: Google has its eye on the prize -- artificial intelligence -- and it's making a bold power play in the tech arena. The company's recent Made by Google event was more than just showcasing new technology.

In a bizarre turn of events, two AI chatbots are running for elected office for the first time--ever. VIC is campaigning for mayor in Cheyenne, Wyoming, and AI Steve is running for Parliament in the UK. Reporter Vittoria Elliot interviewed both of the bots and the people behind them. She explains their motivations, and if any of this is even legal. Meanwhile, reporter David Gilbert talks about how Google and Microsofts' AI chatbots are refusing to confirm who won the 2020 election.

Victor Miller is running for mayor of Cheyenne, Wyoming, with an unusual campaign promise: If elected, he will not be calling the shots--an AI bot will. VIC, the Virtual Integrated Citizen, is a ChatGPT-based chatbot that Miller created. And Miller says the bot has better ideas--and a better grasp of the law--than many people currently serving in government. "I realized that this entity is way smarter than me, and more importantly, way better than some of the outward-facing public servants I see," he says. According to Miller, VIC will make the decisions and Miller will be its "meat puppet," attending meetings, signing documents, and otherwise doing the corporeal job of running the city.

Large language models like ChatGPT have recently demonstrated impressive capabilities in natural language understanding and generation, enabling various applications including translation, essay writing, and chit-chatting. However, there is a concern that they can be misused for malicious purposes, such as fraud or denial-of-service attacks. Therefore, it is crucial to develop methods for detecting whether the party involved in a conversation is a bot or a human. In this paper, we propose a framework named FLAIR, Finding Large language model Authenticity via a single Inquiry and Response, to detect conversational bots in an online manner. Specifically, we target a single question scenario that can effectively differentiate human users from bots. The questions are divided into two categories: those that are easy for humans but difficult for bots (e.g., counting, substitution, positioning, noise filtering, and ASCII art), and those that are easy for bots but difficult for humans (e.g., memorization and computation). Our approach shows different strengths of these questions in their effectiveness, providing a new way for online service providers to protect themselves against nefarious activities and ensure that they are serving real users. We open-sourced our dataset on https://github.com/hongwang600/FLAIR and welcome contributions from the community to enrich such detection datasets.