Retail

Top 10 Costco Grocery Picks for GLP-1 Users

For individuals utilizing GLP-1 medications, prioritizing nutritional intake becomes paramount as appetite naturally decreases. This article, penned by a registered dietitian, highlights ten essential grocery items available at Costco that support crucial health objectives, including muscle preservation through sufficient protein, digestive well-being via fiber, and comprehensive micronutrient intake. The emphasis is on choosing foods that are both beneficial and palatable to ensure sustained adherence to dietary needs.

One key aspect of managing diet while on GLP-1s is ensuring adequate protein and fiber. Pears, for instance, are an excellent source of fiber, with a medium-sized fruit providing approximately 5.5 grams. This fiber content is vital for promoting satiety and aiding digestion, which can be particularly helpful when overall food intake is lower. Pairing a pear with nut butter adds healthy fats and additional protein, creating a more substantial and satisfying snack.

To combat potential nutrient deficiencies, especially in iron and protein, the dietitian recommends Kevin's Natural Foods' chimichurri beef. This pre-cooked option offers 21 grams of protein and 3mg of iron per serving, crucial for immune function and energy. Its flavorful chimichurri sauce makes meals appealing, even with a diminished appetite. Similarly, bone broth serves as a gentle yet effective way to consume protein and maintain hydration, especially when nausea, a common GLP-1 side effect, is present. With 11 grams of protein per serving and essential electrolytes, it can be sipped warm or used as a base for other dishes.

Gut health, often impacted by GLP-1 medications, can be supported by incorporating fermented foods like Jongga kimchi. Rich in probiotics, kimchi helps regulate the gut microbiome and adds a vibrant flavor to meals, making smaller portions more enjoyable. For convenient, on-the-go protein, RxBars are suggested due to their 12 grams of protein, 5-6 grams of fiber, and absence of added sugars, ensuring protein intake even when preparing a full meal is challenging.

Pistachios offer a complete plant-based protein, crucial for muscle maintenance, along with fiber and unsaturated fats that contribute to prolonged fullness. The act of shelling pistachios can also encourage mindful eating. For those craving something sweet, Olipop mini cans provide a lower-sugar alternative to traditional sodas, containing prebiotic fiber for added nutritional value. Zespri SunGold kiwis are another excellent choice, packed with vitamin C and fiber, offering a sweet, hydrating, and convenient snack that can be eaten whole.

Finally, the dietitian suggests Milton's cauliflower-crust pizza as a comfort food option that doesn't compromise nutritional goals. Its gluten-free crust, roasted vegetables, and real cheese provide 12 grams of protein and 25% of the daily recommended calcium per serving. This pizza allows individuals to enjoy familiar foods in a healthier, lighter format, especially when paired with a side salad.

US Airport Security Checkpoint Times: Longest and Shortest Revealed

Travelers navigating the bustling corridors of America's major airports frequently encounter vastly different security screening experiences. The duration of time spent in TSA lines can fluctuate dramatically, depending on the specific airport. While some passengers might glide through checkpoints in mere minutes, others could face queues extending for over twenty minutes, profoundly affecting their journey.

An extensive study by Travel Bulletin, encompassing data from mid-June to mid-August 2026, sheds light on the varying efficiency of security operations across the top 50 busiest airports in the United States. This research, drawing from the MyTSA app's wait-time estimates and passenger volume figures from the FOIA Electronic Reading Room, reveals an average security wait time of 9.9 minutes nationwide. However, this average masks a wide spectrum of individual airport performances, prompting a closer look at the factors contributing to these disparities.

The conversation around airport security efficiency has intensified with the Trump administration's initiative to expand the TSA's Screening Partnership Program (SPP). This program permits airports to utilize private security contractors in lieu of federal TSA personnel. This move is part of a broader effort to address ongoing challenges within the agency, including issues of staff retention and workplace morale. These problems were notably exacerbated by government shutdowns in 2025 and 2026, during which TSA officers were compelled to continue working without receiving their salaries.

Intriguingly, the Travel Bulletin analysis shows that airports participating in the SPP, such as San Francisco and Kansas City International Airports, generally boast some of the shortest average wait times. These two airports are among the 20 facilities nationwide that have opted for private screeners. For instance, San Antonio International Airport leads with an impressive average wait time of just 3.7 minutes. Other airports demonstrating rapid processing include Louis Armstrong New Orleans International (4.1 minutes) and William P. Hobby Airport in Houston (4.1 minutes). Kansas City International Airport and San Francisco International Airport also report short waits of 4.2 and 4.5 minutes, respectively, affirming the potential efficiency of private contracting models.

Conversely, several major hubs struggle with considerably longer queues. John F. Kennedy International Airport in New York recorded the longest average wait time at 23.1 minutes, a significant duration that can impact connecting flights and overall travel stress. Chicago O'Hare International Airport also presented a substantial wait of 20.2 minutes, while Newark Liberty International Airport travelers endured an average of 17.9 minutes. Ted Stevens Anchorage International Airport and Hartsfield-Jackson Atlanta International Airport also featured among those with extended wait times, at 16.3 and 14.1 minutes respectively, highlighting the ongoing challenges faced by some of the nation's busiest air travel gateways.

The comprehensive study by Travel Bulletin offers critical insights into the performance of security operations at major U.S. airports, showcasing a clear divide between facilities with minimal and extensive passenger wait times. These findings are vital for both travelers planning their journeys and policymakers evaluating the effectiveness of current security strategies and potential reforms, such as the further integration of private security services.

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OpenAI's AI Coding Agents: High Usage and Evolving Costs

Within the last year, the integration of artificial intelligence (AI) coding agents has notably reshaped the landscape of software development at OpenAI. Researchers are now extensively using these AI tools, leading to substantial expenditures on 'tokens'—the fundamental units of text processed by AI models. This trend highlights a significant shift towards AI-driven coding practices, impacting workflow efficiencies and prompting a reevaluation of operational costs within the tech industry.

OpenAI's AI Coding Expenditure Soars Amidst Evolving Development Practices

In a recent disclosure, OpenAI unveiled new data regarding its researchers' expenditure on AI coding agents. The company revealed that some of its most active researchers are now incurring daily costs exceeding $7,000 for AI tokens. This figure represents the costs associated with the processing and generation of text by AI models. This substantial investment underscores the increasing reliance on AI in the development process, fostering faster code generation, more frequent experimentation, and the delegation of complex tasks to AI agents.

The usage of AI coding agents within OpenAI's research division has escalated dramatically over the past quarter. By mid-August, the average daily token expenditure per researcher had reached over $600, a significant jump from $162 in July. For the top 10% of users, this daily spending surpassed $7,000. These figures are calculated based on API pricing, offering an estimate of the financial commitment involved rather than the actual internal cost.

Furthermore, the company observed a marked reduction in the demand for human-staffed technical support. Since January, daily posts in the internal technical support channel have dropped by more than 50%, indicating that AI agents are increasingly effective at troubleshooting and resolving technical issues independently. This efficiency aligns with OpenAI CEO Sam Altman's vision of creating an 'automated research intern,' a goal he set last year, which the company now believes it has achieved. The ambitious next step is to develop a fully automated AI researcher by March 2028.

This surge in AI agent usage marks a 'great reset' in software engineering. Many developers now leverage AI to automate coding tasks, reviewing the outputs for quality and accuracy. While some perceive this as a significant boost to productivity, others express reservations. The financial implications of this approach have become a focal point, as the rising costs of AI models have led to concerns about whether the increased productivity justifies the expenditure. Consequently, companies such as Meta and Amazon have started to phase out internal 'token leaderboards,' which once encouraged high AI usage, advocating instead for a more judicious and productivity-driven application of AI resources. This shift signals a broader industry trend towards optimizing AI integration for cost-effectiveness alongside enhanced output.

The rapid adoption and high expenditure on AI coding agents by OpenAI's researchers present a fascinating case study in the evolving relationship between human ingenuity and artificial intelligence. While the immediate gains in productivity and efficiency are evident, the escalating costs highlight a critical challenge for the tech industry: balancing innovation with economic sustainability. The move by major companies to curb unbridled AI usage suggests a growing awareness that the strategic implementation of AI, rather than maximal utilization, will be key to unlocking its long-term value. This ongoing dialogue will undoubtedly shape the future of software engineering and research, pushing for more intelligent and cost-effective ways to integrate AI into our daily workflows.

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