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Decentralized Social Media App Own Launches Amid TikTok Exit Deadline

As TikTok faces an impending U.S. operational deadline, a new decentralized social media platform, Own, has entered public beta. This initiative arrives as a strategic response to market shifts, offering a comprehensive alternative for content creators and users alike.

Forging a New Path With Blockchain Innovation

Own distinguishes itself by incorporating blockchain technology into its core framework, harnessing a token-based economy to reward content creators without imposing restrictive follower or post thresholds. The platform’s unique model enables creators to earn revenue irrespective of geolocation, fostering a more equitable environment for monetization.

Leadership With a Proven Track Record

Developed by industry veterans Amir Kaltak (CEO) and Katia Zaitsev (COO), the app benefits from their extensive experience, including the co-founding of the web3 company Lexit. Additionally, Sarah Mick (CCO) brings valuable insights from her tenure at major dating apps such as Tinder and Bumble. This leadership team underpins Own’s commitment to redefining content monetization and ownership.

Revolutionary Token Economy and Monetization Strategy

At the heart of Own’s system is the $OWN Token, awarded based on video engagement and fully tradeable on the open market. Kaltak emphasizes that this approach not only democratizes revenue sharing but also introduces consistent market demand, ensuring long-term price resilience. The platform sets a new standard, charging creators only minimal fees on tipping, sponsorship, and in-app commerce, a stark improvement compared to traditional platforms like TikTok.

Enhanced Monetization Features and Global Reach

Creators on Own could earn up to 50% more than on other platforms. With lower deductions on tips, sponsorships, and Own Shops, the platform maximizes revenue retention—for instance, creators keep 95% of their earnings from in-app sales. Additional revenue streams, such as content licensing, are supported by blockchain-verified ownership, allowing fair resale deals to brands.

User Engagement and Community Governance

The innovative ranking system empowers viewers to upvote or downvote content, similar to Reddit, allowing high-engagement posts to gain greater exposure. This community-driven oversight not only democratizes content visibility but also reinforces the platform’s commitment to fair play and transparency.

Looking Ahead: Strategic Rollouts and Market Impact

Own is slated to roll out monetization features by the third quarter, with its e-commerce component, Own Shop, following in beta later in the year. With nearly 40,000 users already on the waitlist and over $5 million raised from notable investors, Own is well-positioned to disrupt social media dynamics globally.

The convergence of decentralized technology and equitable monetization marks a significant evolution in the digital content landscape, challenging incumbent platforms to rethink their revenue models while enhancing creator empowerment at scale.

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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