Breaking news

DeepSeek Expands Open-Source AI Strategy With New Code Release

Chinese AI startup DeepSeek is doubling down on open-source innovation, announcing plans to publicly release five new code repositories next week. In a post on social media platform X, the company described the move as “small but sincere progress” toward greater transparency in AI development.

“These humble building blocks in our online service have been documented, deployed, and battle-tested in production,” the company stated.

DeepSeek made waves last month when it unveiled its open-source R1 reasoning model, a system that rivaled Western AI models in performance but was developed at a fraction of the cost. Unlike many AI firms in China and the U.S. that guard their proprietary models, DeepSeek has positioned itself as a leader in open-source AI.

The company’s elusive founder, Liang Wenfeng, reinforced this philosophy in a rare interview last July, emphasizing that commercialization was not DeepSeek’s primary focus. Instead, he framed open-source development as a cultural movement with strategic advantages.

“Having others follow your innovation gives a great sense of accomplishment,” Liang said. “In fact, open source is more of a cultural behavior than a commercial one, and contributing to it earns us respect.”

The newly released repositories will provide infrastructure support for DeepSeek’s existing open-source models, enhancing their capabilities and accessibility. This follows the company’s Tuesday launch of Native Sparse Attention (NSA), a new algorithm designed to optimize long-context training and inference.

DeepSeek’s influence is growing rapidly. Since last month, its user base has surged, making it China’s most popular chatbot service. As of January 11, the platform had 22.2 million daily active users, surpassing Douban’s 16.95 million, according to Aicpb.com, a Chinese analytics site.

With its latest commitment to transparency and collaboration, DeepSeek continues to challenge the AI industry’s dominant closed-source model, reshaping the future of artificial intelligence on a global 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.

Uol
The Future Forbes Realty Global Properties
eCredo
Aretilaw firm

Become a Speaker

Become a Speaker

Become a Partner

Subscribe for our weekly newsletter