Welcome to the BrevFeed daily tech briefing for Tuesday, August 11. We've got 7 stories for you today across A.I., security, software, cloud, hardware and startups. Let's get into it.

In AI, new research from Boston College indicates that older workers are leaving jobs in AI-exposed industries at a higher rate. The study, led by Professor Geoffrey Sanzenbacher, found that those aged 55 and above are making significant transitions due to AI implementation.

This trend suggests that AI's impact on employment isn't limited to younger professionals, but also affects older demographics. These transitions could lead to unemployment, early retirement, or even longer careers as AI boosts productivity and redefines work tasks.

The findings add to broader concerns about AI's influence on job markets. While some older employees might seek non-AI jobs or retire early, others could benefit from AI augmentation, making their roles more engaging. Economists continue to warn about potential large-scale job displacement, highlighting the need to balance AI advancements with societal needs.

In legal news, a Florida teenager has dropped his social media addiction lawsuit against Meta, just days before a jury trial was set to begin in Los Angeles. The plaintiff, identified as R.K.C., had previously reached settlements with TikTok, Snap, and YouTube, leaving Meta as the sole remaining defendant in this specific case.

The lawsuit alleged that social media companies design addictive platforms that are harmful to young users. While Meta did not make a payment in this particular case, the company still faces numerous other legal challenges. A Meta spokeswoman stated that the claims "never held up" and that the company would "not back away from defending ourselves against baseless lawsuits."

Attorneys for R.K.C. indicated that the plaintiff chose to withdraw his claims against Meta due to concerns about enduring a "grueling weekslong trial" and in light of the "overall successful result of the litigation." Meanwhile, Meta is currently in a separate trial in Tennessee over similar allegations, and faces 42 other cases from individual states, including a recent $375 million judgment against it in New Mexico.

In AI, new bot controls have been announced to help web creators manage the impact of artificial intelligence on search traffic. This comes as over half of all online traffic is now non-human, largely due to AI-generated summaries.

These AI summaries provide quick answers, drastically reducing traditional link clicks. Research from the 2025 Pew Research Center shows that when AI summaries appear, only 8% of users click on traditional links, impacting revenue for content creators.

The new bot options aim to give site owners more control over who accesses their content and under what terms. The goal is to enhance transparency and rebuild economic models to better reward creators in an AI-centric search environment.

In cloud news, Amazon Web Services has unveiled new AI and security features at its NYC Summit. The company introduced Amazon Bedrock AgentCore, which aims to improve AI agent capabilities by offering enhanced access to organizational and web knowledge, making AI application development more robust.

AWS also announced Continuum, a new AI-driven security service. Continuum is designed to provide proactive security measures, including threat modeling and code remediation through integrated tools, to enhance the overall security of applications across their lifecycle.

These updates are significant as they provide enterprises with tools to develop AI applications more securely and efficiently. By facilitating faster creation and deployment of AI agents and improving security with advanced tools, AWS is focusing on streamlining enterprise operations and advancing both AI and cybersecurity frameworks.

Turning to infrastructure, a new Redfin survey reveals that over half of Americans, 53% to be exact, oppose the construction of AI data centers in their neighborhoods. This opposition is higher than for new apartment complexes, which 39% of residents oppose.

The main concerns cited are the significant strain AI data centers place on local electricity and water resources, potentially leading to higher utility costs and environmental issues. Residents also worry about the large structures disrupting community aesthetics and generating noise.

Despite these concerns, data centers can bring economic benefits. For example, counties in Northern Virginia with established data centers have seen education spending more than double in the last decade, partly due to tax revenues from these facilities. However, the survey highlights a complex balance between local opposition and economic advantages that will influence future AI infrastructure development.

Turning to public health, an outbreak of the Cyclospora parasite in Michigan has now affected over 3,300 state residents, with 44 hospitalizations reported by July 14th. Federal investigations have linked the outbreak to iceberg lettuce supplied by Taylor Farms.

The contaminated lettuce was served at Taco Bell, and traceback efforts repeatedly pointed to a Taylor Farms facility in Mexico. As a result, Taylor Farms has recalled all affected iceberg lettuce from central Mexico from the U.S. market, impacting major clients like Taco Bell and Sysco.

Taco Bell has also indefinitely removed the affected ingredient nationwide. The FDA and CDC are urging consumers in Indiana, Kentucky, Michigan, Ohio, and West Virginia not to eat Taco Bell iceberg lettuce as the outbreak continues to be monitored.

In developer tools, GitHub Copilot is rolling out updates to its Visual Studio Code integration, focusing on smarter context handling and model routing. These changes are designed to boost efficiency by allowing Copilot to reuse information, reducing the need for developers to input the same details repeatedly.

The enhancements include increased prompt caching and on-demand loading of tool definitions. This means recurring information like instructions and repository context are efficiently stored during longer coding sessions, limiting redundancies and improving resource use. Copilot will also now automatically select the most appropriate AI model for a given task, balancing speed and complexity without overwhelming users with choices.

GitHub says these updates ensure efficiency and performance, with benchmarks showing improvements similar to competitors but with lower token consumption. Additionally, rewrites of Copilot's code review instructions have led to a 20% reduction in review costs. These improvements aim to optimize developer workflows and enhance productivity across various software engineering environments.

That's the BrevFeed daily briefing. We'll be back tomorrow with the stories that matter in tech. Thanks for listening.