Things to Do in L.A. Tap to enable a layout that focuses on the article. Students with computers participate in a summer program at Canoga Park High School in 2022. This is read by an automated voice. Please report any issues or inconsistencies here . Los Angeles Unified is poised to reverse years of promoting classroom technology with restrictions on student screen time.

This material may not be published, broadcast, rewritten, or redistributed. Quotes displayed in real-time or delayed by at least 15 minutes. Market data provided by Factset . Powered and implemented by FactSet Digital Solutions . Mutual Fund and ETF data provided by Refinitiv Lipper . Trace Gallagher: This year's resolution is for the'naughty nightly news' Chicago mayor endorses'Abolish ICE' snowplow name NYT writer downplays MN fraud scandal investigation from'politicized' DOJ CBS News correspondent claims Supreme Court corruption narrative is'patently false' Sanders rails against AI, says'science-fiction fear' of it running the world not an outrageous idea Pelosi says she didn't intend to tear up Trump's 2020 State of the Union speech MS NOW guest praises Trump's'unconventional' approach to foreign policy (1) LA Mayor Karen Bass says it's'sad' to see Latinos joining the Border Patrol Santa is'PACKING HEAT' during a traffic stop Joe Rogan roasts'crazy' White House plaques installed by Trump Jimmy Kimmel criticized for'ridiculous' Christmas message Jimmy Kimmel jabs at Trump on Christmas: 'Tyranny is booming' CBS News defends pulling '60 Minutes' story'Jesus Crown of Thorns' season 2 is available to watch now on Fox Nation Kimmel says'tyranny is booming' under Trump in UK Christmas message Sunday Morning Futures anchor Maria Bartiromo looks back at her 2025 interviews with President Donald Trump as he laid out his agenda on the border, the economy, energy and foreign policy heading into 2026. NEW You can now listen to Fox News articles!

Director James Cameron criticizes Trump administration's environmental rollbacks and warns humanity is going backwards in interview about "Avatar: Fire and Ash."

Things to Do in L.A. Tap to enable a layout that focuses on the article. Vanessa Silver, who tutors young children with dyslexia, works with Liina Yerro, 9, in Granada Hills. This is read by an automated voice. Please report any issues or inconsistencies here . California to begin universal screening of kindergarten through second-grade students for reading difficulties, including dyslexia.

Large language models (LLMs) are prone to hallucinations in question-answering (QA) tasks when faced with ambiguous questions. Users often assume that LLMs share their cognitive alignment, a mutual understanding of context, intent, and implicit details, leading them to omit critical information in the queries. However, LLMs generate responses based on assumptions that can misalign with user intent, which may be perceived as hallucinations if they misalign with the user's intent. Therefore, identifying those implicit assumptions is crucial to resolve ambiguities in QA. Prior work, such as AmbigQA, reduces ambiguity in queries via human-annotated clarifications, which is not feasible in real application. Meanwhile, ASQA compiles AmbigQA's short answers into long-form responses but inherits human biases and fails capture explicit logical distinctions that differentiates the answers. We introduce Conditional Ambiguous Question-Answering (CondAmbigQA), a benchmark with 200 ambiguous queries and condition-aware evaluation metrics. Our study pioneers the concept of ``conditions'' in ambiguous QA tasks, where conditions stand for contextual constraints or assumptions that resolve ambiguities. The retrieval-based annotation strategy uses retrieved Wikipedia fragments to identify possible interpretations for a given query as its conditions and annotate the answers through those conditions. Such a strategy minimizes human bias introduced by different knowledge levels among annotators. By fixing retrieval results, CondAmbigQA evaluates how RAG systems leverage conditions to resolve ambiguities. Experiments show that models considering conditions before answering improve performance by $20\%$, with an additional $5\%$ gain when conditions are explicitly provided. These results underscore the value of conditional reasoning in QA, offering researchers tools to rigorously evaluate ambiguity resolution.

Fox News senior congressional correspondent Chad Pergram joins'Fox News Live' to explain how he prepares to report on Congress for the upcoming year. Every two years, the period between the November election and when the new Congress begins is often the busiest swath of time for covering Congress. Reporters are trying to figure out who won their elections and who lost. The existing Congress is back, attempting to prevent a government shutdown and often plowing through a landscape of other major legislation. There are often leadership elections.

NHTSA's preliminary evaluation follows four crash reports involving the use of Tesla's "Full Self-Driving", or FSD, software. The agency said the crashes involved reduced roadway visibility, with fog or glares from the sun. One of the incidents involved a Telsa fatally striking a pedestrian, and another involved someone being injured, NHTSA said. The evaluation aims to determine if Tesla's self-driving systems can detect and appropriately respond to reduced visibility conditions. It also will examine if other self-driving crashes have happened under similar conditions.

In this work, we propose Table-LLM-Specialist, or Table-Specialist for short, as a new self-trained fine-tuning paradigm specifically designed for table tasks. Our insight is that for each table task, there often exist two dual versions of the same task, one generative and one classification in nature. Leveraging their duality, we propose a Generator-Validator paradigm, to iteratively generate-then-validate training data from language-models, to fine-tune stronger \sys models that can specialize in a given task, without requiring manually-labeled data. Our extensive evaluations suggest that our Table-Specialist has (1) \textit{strong performance} on diverse table tasks over vanilla language-models -- for example, Table-Specialist fine-tuned on GPT-3.5 not only outperforms vanilla GPT-3.5, but can often match or surpass GPT-4 level quality, (2) \textit{lower cost} to deploy, because when Table-Specialist fine-tuned on GPT-3.5 achieve GPT-4 level quality, it becomes possible to deploy smaller models with lower latency and inference cost, with comparable quality, and (3) \textit{better generalizability} when evaluated across multiple benchmarks, since \sys is fine-tuned on a broad range of training data systematically generated from diverse real tables. Our code and data will be available at https://github.com/microsoft/Table-LLM-Specialist.

Tesla CEO Elon Musk has unveiled the company's robotaxi, Cybercab, promising it will cost less than US 30,000, and announced plans to bring autonomous driving to its Model 3 and Model Y cars in California and Texas by next year. At the much-anticipated We, Robot event hosted at Warner Bros. Studios in Burbank, California, the billionaire arrived in the Cybercab in his trademark black leather jacket, accompanied by a man dressed in a space suit. Human-like robots mingled in the crowd, danced and served drinks to those gathered for the party. In the lead-up to the announcement, analysts were sceptical that Tesla would deliver on its promise, as fully self-driving vehicles had been flagged for nine years and robotaxis for five years. Musk said there were 20 more Cybercabs at the event, in addition to the one he had arrived in, and 50 fully autonomous vehicles for attenders to try out across the 20 acres of space that Tesla had secured for the event.

Tesla boss Elon Musk is to unveil the firm's long-awaited robotaxi prototype, the Cybercab, at the Warner Bros Studios in Burbank, California on Thursday. Self-driving cars have long fascinated Mr Musk and he has made a series of bold predictions about them - including that they will save lives or earn their owners money, through being rented out for rides or even overnight stays. But when he takes to the stage for the event - which the company has billed We, Robot - he will be under pressure to quell persistent doubts about the electric vehicle maker's ability to execute on his ambitions. The project has undergone delays, having been originally slated for release in August before being moved to October. Mr Musk explained away the latest delay by saying it was down to some last minute changes from him.