Alibaba Cloud Launches PAI Lingjun Intelligent Computing and AIACC Services to Meet Overseas Large Model Development Needs

AI Now Writes 20% of Salesforce's Code: Developers Evolve, Not Disappear

Amidst the AI surge, Salesforce recently revealed that its internal tool, Agentforce, has contributed to generating 20% of its APEX code. This sparked industry-wide discussions about the future role of developers. In contrast to some expert predictions of programmers being replaced, Salesforce developers are evolving into more strategic roles. Image note: Image generated by AI, licensed from Midjourney.

Hugging Face Acquires Pollen Robotics to Accelerate Open-Source Robotics

Hugging Face, the AI development platform, has announced the acquisition of French robotics startup Pollen Robotics for an undisclosed sum. This marks Hugging Face's first foray into hardware and aims to promote the global adoption and development of open-source robotics. Pollen Robotics, founded in 2016 and based in Bordeaux, France, is known for its open-source humanoid robot, Reachy2. Priced at approximately $70,000, Reachy2 has been adopted by institutions such as Cornell University.

Nvidia Plans US-Based AI Chip Manufacturing

Nvidia recently announced plans to establish over one million square feet of manufacturing space in Arizona and Texas for the production and testing of AI chips. This represents a significant move by Nvidia to bring some of its manufacturing back to the United States. Nvidia's Blackwell chip is already in production at TSMC's Arizona facility. Additionally, Nvidia is establishing "supercomputer" manufacturing plants in Texas, partnering with Foxconn in Houston and Wistron in Dallas. In Arizona, Nvidia is collaborating with Amkor and others.

Google Unveils DolphinGemma: A New Milestone in Dolphin Language Research

New Zhihu Station http://z.ai Officially Launched

XPeng Explores Crowdsourced Mapping Technology, but Reasserts Commitment to Mapless, Large Model Approach

Recent reports suggest XPeng is internally developing a new technology called "Crowdsourced Mapping," aiming to enhance the accuracy of its autonomous driving system's navigation. This technology, in its preliminary research phase after several months of development, could potentially supplement XPeng's Level 3 autonomous driving solution. The core of crowdsourced mapping lies in the collaborative effort of multiple vehicles to collect road data in real-time, dynamically generating and updating maps. This approach offers the advantage of covering areas inaccessible to sensors, providing the intelligent driving system with more comprehensive data.