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Things to Do in L.A. Tap to enable a layout that focuses on the article. Taylor Farms, a global fresh produce supplier, is allegedly connected to the recent cyclosporiasis outbreak. This is read by an automated voice. Please report any issues or inconsistencies here . See more from the L.A. Times in Google Search.

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US fast-food chain Taco Bell is removing lettuce from its menu in some states after investigations found it could be linked to an outbreak of explosive diarrhoea caused by a parasite. The decision was taken out of an abundance of caution following discussions with health officials, Taco Bell told the BBC. The US Food and Drug Administration (FDA) says 1,644 people in five states that reported exposure to Taco Bell have been infected by cyclosporiasis, a parasitic infection that spreads through contaminated food or water. Do not eat food items with shredded iceberg lettuce from Mexico served at Taco Bell locations in Indiana, Kentucky, Michigan, Ohio, and West Virginia, the FDA said. No deaths have been reported but 94 people have been hospitalised due to cyclosporiasis infections, which were first detected on 13 May, the FDA added.

On today's, we unpack OpenAI's ongoing drama, both legal and reputational, and whether these developments could further hurt the company--particularly in its fight against Anthropic. This week on, the team discusses the details behind Apple suing OpenAI over alleged stolen hardware secrets. And the company's headaches don't stop there--a group of OpenAI employees just started a super PAC to advocate for stronger AI guardrails. Plus, New York's first-in-the-nation data center moratorium draws Donald Trump's ire, DOGE stonewalls FOIA requests on its AI use at HUD, and WIRED's Emily Mullin explains the cyclosporiasis outbreak spreading across more than 30 states. DOGE Used AI for Housing Policy. The Government Won't Say How Write to us at [email protected] . You can always listen to this week's podcast through the audio player on this page, but if you want to subscribe for free to get every episode, here's how: If you're on an iPhone or iPad, open the app called Podcasts, or just tap this link . Last Friday, Apple sued the company basically alleging that OpenAI has been stealing confidential hardware secrets. And now this week, WIRED learned that some OpenAI employees are launching a super PAC to push for AI guardrails. We'll get into all those details and whether these developments could further hurt OpenAI, particularly in its fight against Anthropic. We'll dive into what that means exactly and whether this move could pave the way for other states to follow suit. And we're going to check in on the disease sweeping the nation, cyclosporiasis, which is causing turbo diarrhea across the country . So basically what happened was last Friday, Apple filed a lawsuit against OpenAI for allegedly stealing information like unreleased iPhone parts and prototypes, confidential designs, documents about secret projects. That accusation sucks for OpenAI. It's pretty intense, but it gets really messy because Apple is basically saying that this theft, this alleged theft, mostly happened through former employees.

How do we program home robots to perform a wide variety of personalized everyday tasks?

Large Language Models (LLMs) exhibit strong reasoning abilities for planning long-horizon, real-world tasks, yet existing agent benchmarks focus on task completion while neglecting time efficiency in parallel and asynchronous operations. To address this, we present ParaCook, a benchmark for time-efficient collaborative planning. Inspired by the Overcooked game, ParaCook provides an environment for various challenging interaction planning of multi-agent systems that are instantiated as cooking tasks, with a simplified action space to isolate the core challenge of strategic parallel planning. Through a comprehensive evaluation of state-of-the-art LLMs, we find that current approaches achieve suboptimal plans, which struggle with parallel actions or coordination. Our analysis also reveals LLMs' potential on abstract tasks where they can focus on high-level parallel optimization. ParaCook provides a scalable evaluation framework with adjustable complexity, establishing a foundation for developing and assessing time efficiency-aware multi-agent planning. The code and data are available at https://github.com/zsq259/ParaCook.

Code can be found at https://github.com/nsidn98/LLaMAR