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The Toxic Fast Food Condiment Mistake Everyone Needs To Avoid

The Toxic Fast Food Condiment Mistake Everyone Needs To Avoid

Yahoo28-05-2025
Who doesn't love a splash of condiment with their fries? But before you start merrily squeezing bottles and sachets, the most serious of many mistakes people make at fast-food restaurants is one that's vital to avoid. It's official: It's time to go cold turkey on squirting condiments on paper bags. The hack might seem savvy, especially when you're bolting down burgers in the restrictive dining area of a driver's seat, or even seated inside your favorite fast-food restaraurant where crockery doesn't exist. But paper bags should never be used as makeshift plates or dipping bowls. According to a 2022 Consumer Reports study, this habit is — quite literally — toxic. It risks cross-contamination with a dangerous set of 10,000 substances, nicknamed the "forever chemicals," that are often found in fast-food packaging, particularly heat-, water-, and grease-repellent materials.
The investigation found PFAS (per- and polyfluoroalkyl substances) in varied packaging from many retailers when testing over 100 different products. Included in these alarm-bell-ringers were McDonald's, Trader Joe's, Burger King, and Chick-fil-A. Many of these companies have subsequently committed to reducing their reliance on PFAS-containing packaging. But is it worth the risk? Probably not. PFAS exposure is linked with cancer, organ damage, and hormonal difficulties; the chemicals transfer the exact risks to the environment, too, endangering wildlife. It's a dangerous cycle, so avoid non-traditional bag use and play it safe. Yes, it really is time to break the habit of a lifetime.
Read more: For Fresh, Not Frozen Fast Food, Try These 12 Popular Chains
Avoiding cross-contamination is a wise choice. Why juggle with fire? However, that is just one small step towards protecting yourself from PFAS. After committing to never again squirting condiments on your paper bags, what next? Ideally, limit the amount of fast food you consume. PFAS are heavily bio-accumulative, meaning they tend to build up in our systems over time. The less exposure to fast food, the lower your overall risk.
If that sounds impossible, though, focus on limiting exposure to packaging instead. Remove the food from its wrappers immediately, and never reheat items in their original boxing. When heated, these containers can leach. Styrofoam and plastic are common culprits (hence why you should think twice before you reheat Chinese takeout in the containers).
As for the future of fast-food packaging? You might recall that at least two fast food chains were sued over this forever chemicals report. One of these was McDonald's, which subsequently committed to eliminating all PFAS from its packaging by 2025. As of 2024, there were announcements that McDonald's was updating its McFlurry cups with sustainability in mind. And the FDA has said that packaging containing PFAS is no longer sold in the U.S. However, the agency continues to test many products and even allows them in some circumstances. In short, the needle is slowly moving. However, consumer awareness is non-negotiable — be proactive, and ensure you do your best to limit your own intake. There's no better protection than prevention.
Read the original article on Tasting Table.
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Not-so-great expectations
Not-so-great expectations

Politico

time43 minutes ago

  • Politico

Not-so-great expectations

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China's tech talent are making big strides — they're creating apps for the world
China's tech talent are making big strides — they're creating apps for the world

CNBC

time43 minutes ago

  • CNBC

China's tech talent are making big strides — they're creating apps for the world

BEIJING — Chinese developers are powering some of the latest artificial intelligence tools aimed at a global market. Melvin Chen moved to San Francisco from China to co-found AI design startup Lovart, which officially launched Wednesday — after claiming "800,000 users across 70 countries" for its test version. "We will focus on North America as the first step," Chen said in Mandarin, translated by CNBC. He previously led China operations for CapCut, a popular video-editing app from ByteDance that still ranks first in the photo and video category in Apple's U.S. App Store. Lovart uses AI to generate logos, stickers and other branding visuals based on text prompts. The new version launching Wednesday includes a "ChatCanvas" feature that claims to make specific edits easier — a client might ask a professional designer to switch two icons, a task difficult to explain only with words but simple when visuals are included, Chen said. He expects Lovart to surpass 1 million users in the week after its launch. But he said the app isn't coming to China soon, mostly because it's based on Anthropic's Claude 4 AI model and others from OpenAI — both of which aren't officially available in China. Beijing has to give generative AI models the green light for public use and operates a stringent firewall that blocks sites such as Google and Facebook. Companies also have their own rules about where their services can be used. While most of Lovart's team is based in San Francisco with the aim of better localizing the product, Chen said part of the production team is in China. He declined to share operating costs, and said the startup would seek investor funding after securing sufficient user growth. Lovart has a free-to-use option, with monthly subscription fees of up to $90 for wider usage. In a global AI race, the U.S. government has in the last several years ramped up its restrictions on American companies selling advanced semiconductors to China. San Francisco-based OpenAI launched its ChatGPT chatbot in late 2022, and it wasn't until January this year that China produced a clear rival with DeepSeek's breakthrough. But analysts have long expected China's AI advantage would likely lie in applications rather than models, especially given that internet-based Chinese companies were able to build massive food delivery and short-video apps for the large local consumer market. Already in AI video generation, Kuaishou's Kling and Shengshu's Vidu have gained global users in the last 18 months. In the realm of AI agents that can automatically perform a series of complex tasks, Manus has caught international attention. "China-affiliated teams are increasingly influential, driven by concentrated technical talent, agile development culture, and policy support for AI commercialization," said Charlie Dai, vice president and principal analyst at Forrester. "They excel in cost-efficient model training and rapid consumer app iteration, often prioritizing open-source accessibility." "Chinese models now compete globally, challenging U.S. dominance while lowering AI costs," he said. Another advantage is that China models such as DeepSeek and several others are open source, meaning they are free for developers to download and use. Hugging Face, an online platform that allows people to try out open source AI models, regularly show that China models are among the top trending ones for users. As of Wednesday, the Kimi K2 coding-focused model that was launched this month ranked first on the site, followed by Alibaba's Qwen3 coding-focused modes that launched earlier in the day. In image-to-3D models, Tencent's Hunyuan ranks first, while France-based Mistral's Voxtral ranks first in audio-text-to-text. Chen said Lovart will focus on AI for generating images and videos rather than 3D models. "AI is the new camera ... [for] capturing human imagination," he said. He said the startup aims to build traction by holding events with the design community, including in New York, Tokyo and Europe. ChatGPT is by far the most popular AI app in the West, with 70 million monthly users on average in the U.S. and 144.6 million in Europe as of July, according to Sensor Tower. Google's Gemini was a distant second in both markets, but while Microsoft Copilot ranked third in the U.S., DeepSeek held the third spot in Europe, the data showed. During a visit to Beijing last week, Nvidia CEO Jensen Huang said nearly all of DeepSeek's users had downloaded the model to run it locally in countries around the world. He also emphasized that priorities for AI development are shifting. "I think over time it will be increasingly less important which one of the models are the smartest," he said. "It's going to be which one of the models are the most useful."

Omdia: China Hyperscalers Commercialize AI Amid Export Restrictions but Modern GPUs Remain Limited
Omdia: China Hyperscalers Commercialize AI Amid Export Restrictions but Modern GPUs Remain Limited

Business Wire

timean hour ago

  • Business Wire

Omdia: China Hyperscalers Commercialize AI Amid Export Restrictions but Modern GPUs Remain Limited

LONDON--(BUSINESS WIRE)--What are the biggest cloud providers in Asia doing to meet the rising demand for AI inference? Omdia's latest research offers an in-depth look at the evolving challenges of AI inference operations, the key trade-offs between throughput, latency, and support for diverse AI models, and the possible solutions. The report provides detailed coverage of companies such as Huawei, Baidu, Alibaba, ByteDance, Tencent, NAVER, and SK Telecom Enterprise. It examines which GPUs, AI accelerators, and AI-optimized CPUs these companies offer, their pricing, the stockpile of NVIDIA GPUs, their AI service portfolios, and the current status of their own AI models and custom chip projects. Despite heavy stockpiling of NVIDIA H800 and H20 GPUs during 2024 and early 2025, prior to the imposition of US export controls, these high-performance chips are difficult to find in Chinese cloud services, suggesting they are primarily used for the hyperscalers' own model development projects. Similarly, there are relatively few options that use any of the Chinese AI chip projects; exceptions include Baidu's on-premises cloud products and some Huawei Cloud services, although they remain limited. Chinese hyperscale companies are well advanced in adopting best practices such as decoupled prefill and generation and publish seminal research in fundamental AI; however, the research papers often mention that the training runs are carried out using Western GPUs, with a few notable exceptions. 'The real triumph in Chinese semiconductors has been CPUs rather than accelerators,' says Omdia Principal Analyst and author of the report, Alexander Harrowell. 'Chinese Arm-based CPUs are clearly in production at scale and are usually optimized for parallel workloads in a way like Amazon Web Services' Graviton series. Products such as Alibaba's YiTian 710 offer an economically attractive solution for serving the current generation of small AI models such as Alibaba Qwen3 in the enterprise, where the user base is relatively small and workload diversity is high.' If modern GPUs are required, the strongest offering Omdia found was the GPU-as-a-service product SK Telecom is building in partnership with Lambda Labs. Omdia observed significant interest in moving Chinese workloads outside the great firewall in hopes of accessing modern GPUs and potentially additional training data. Among other important findings, nearly all companies now offer models-as-a-service platforms that enable fine-tuning and other customizations, making this one of the most common ways for enterprises to access AI capabilities. Chinese hyperscalers are especially interested in supporting AI applications at the edge. For example, ByteDance, offers a pre-packaged solution to monitor restaurant kitchens and report whether chefs are wearing their hats. ABOUT OMDIA Omdia, part of Informa TechTarget, Inc. (Nasdaq: TTGT), is a technology research and advisory group. Our deep knowledge of tech markets grounded in real conversations with industry leaders and hundreds of thousands of data points, make our market intelligence our clients' strategic advantage. From R&D to ROI, we identify the greatest opportunities and move the industry forward.

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