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Understanding the GENIUS Act: Crypto Regulation Explained

The crypto world witnessed a significant milestone as the Senate voted 66-22 to advance the GENIUS Act, a groundbreaking regulatory bill for cryptocurrencies. Notably, this bill aims to manage stablecoins, digital currencies linked to the value of assets like the U.S. dollar, by setting new standards and protections.

While the bill received majority support, some opponents remain concerned. Critics argue that it falls short in addressing potential conflicts of interest and may risk consumer and economic stability. However, proponents see it as a protective measure, ensuring that stablecoin issuers maintain a reserved asset base, thereby securing consumer interests and paving the way for stablecoins’ mainstream integration.

The GENIUS Act not only aims to enforce anti-money laundering and anti-terrorism laws but also prioritizes coin holders for repayment in the event of bankruptcy, marking a potentially transformative era in digital finance.

Supporters, such as Christian Catalini from the MIT Cryptoeconomics Lab, believe it will foster competition and innovation in digital payments by enabling safer and more reliable financial transactions, opening the floodgates for new issuers in the digital currency space.

Cautious voices, including Sen. Elizabeth Warren, warn of lenient regulations that could give room for unethical practices, especially given Trump’s involvement in stablecoin dealings. This rings particularly true with recent revelations of World Liberty Financial’s stablecoin transactions linked to Binance investments.

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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