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Instagram Enhances Campus Engagement With New Student Directory Feature

Instagram is evolving its platform to better resonate with college students by launching a sophisticated feature designed to foster meaningful campus connections. The new student directory enables U.S. students to add their college or university affiliation directly to their profile banner while offering the ability to explore a comprehensive list of peers.

Add School For Verified Connections

The new feature is activated via an ‘Add School’ option, guiding users through a verification process with UNiDAYS. Once verified, students can display their academic institution on their profiles and control the visibility of this information, ensuring that privacy remains a top priority.

Seamless Directory Access

After updating their profile, students can browse a curated list of verified peers at their institution. With filtering options by class year or an entire directory view, this functionality mirrors the early vision of Facebook—from its inception as a Harvard-only platform—to foster community engagement among students.

Competitive Innovation and Privacy Concerns

This move follows TikTok’s recent rollout of a similar feature, underscoring an industry-wide effort to capture the college demographic. Despite the clear benefits for campus connectivity, these innovations also raise important questions about user privacy and the potential for digital tracking, highlighting the constant balance that social platforms must maintain.

Shaping The Future Of Digital Campus Culture

As Instagram refines its offerings, the emphasis on verified, community-centric features is set to redefine digital campus culture. While the feature has clear advantages for student engagement, it also reinforces ongoing discussions about privacy in an increasingly interconnected world.

Apple Ties Its Mac Strategy To The AI Boom With New Mac Mini And Mac Studio Models

Apple has updated its Mac Mini and Mac Studio desktops with new processors and higher AI performance as developers increasingly use Macs for local AI workloads. The new models are scheduled to ship on Sept. 22, weeks before the company is expected to introduce its next iPhone generation.

Macs Target Local AI Development

Developers and researchers are increasingly using Apple computers to run AI models locally, reducing reliance on cloud infrastructure. Mac Mini systems can support AI agent software, while Mac Studio machines are designed for more demanding model training and deployment workloads.

Apple said its processors combine Neural Engines for machine learning with unified memory architecture designed to reduce performance bottlenecks. The company says the combination allows users to run and fine-tune larger AI models directly on their devices.

Mac Mini Gets First M6 Generation Chip

The updated Mac Mini can be configured with Apple’s M6 and M5 Pro processors, making it the company’s first computer with an M6-generation chip. The M6 is manufactured by Taiwan Semiconductor Manufacturing Co. (TSMC) using a 2-nanometer process.

The previous Mac Mini lineup offered M4, M4 Pro and M4 Max processors. Apple said the M5 Pro version of the new model can process large language model prompts 8.5 times faster than earlier Mac Mini Pro configurations.

Pricing has also increased. The new Mac Mini starts at $899, $100 more than the previous model, after Apple raised the price from $599 earlier this summer, citing higher memory costs.

Mac Studio Targets Larger AI Workloads

Mac Studio remains Apple’s highest-performance desktop without an integrated display, following the discontinuation of the Mac Pro earlier this year. New configurations include the M5 Max, which Apple says can run large language models nearly four times faster than the previous generation.

The M5 Ultra is available for users with heavier computing requirements. Apple says multiple Mac Studio systems using the Ultra chip can be connected to pool memory and run models with up to a trillion parameters.

Mac Studio with the M5 Max starts at $2,499, unchanged from the previous generation. The M5 Ultra configuration starts at $5,499, compared with at least $5,299 for the previous model using the M3 Ultra.

Apple Expands Its Local AI Hardware

The new desktops give developers and researchers more computing capacity for running AI models locally. Apple is also increasing the role of its custom processors and unified memory architecture in handling AI workloads without relying entirely on cloud-based computing.

Both Mac Mini and Mac Studio models are available for presale and are scheduled to begin shipping on Sept. 22.

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