In an the company says the was developed in-house and trained from scratch on Huawei’s Ascend hardware platform. Huawei insists the model was not created through continued training on another provider’s model.These statements come in response to an analysis by “HonestAGI” that was Tongyi Qianwen Qwen-2.5 14B, especially in the distribution of attention parameters.
Accusations go beyond Huawei
The accusations come at a sensitive time for Huawei, which is working to show that its Pangu models – trained on Ascend chips – can comp shop ete with global AI leaders. This matters as China seeks alternatives to Nvidia amid increasing US export restrictions.
Huawei is promoting its upcoming Ascend 910C as China’s top Nvidia alternative. says the performance gap between the 910C and the is now less than a year, compared to two years with the previous 910B.
Autonomy with oversight
MCP, developed by Anthropic, translates agent requests into system commands – for example, querying a database or restarting a server. The A2A protocol, which started at Google and is now a Linux Foundation project, lets agents assign tasks to each other. MCP enables agents to interact with systems, while A2A manages how agents work together. For the data revolution: shaping the future instance, a customer agent from Anthropic can communicate with a product agent from OpenAI, without developers having to agree on a custom protocol.
Still more concept than product
Salesforce doesn’t plan to build the best agent itself, but instead wants to provide the “operating system” for agent-driven workflows. The approach is similar to early cloud providers, who sold not just storage space but the tools to use it. Whoever controls the interfaces controls the data flow – and the market.
Still, agent technology is more concept mobile lead than product right now. Unlike classic software, agents interpret, learn, and react based on context. That makes them flexible but also unpredictable, so most projects are still experimental. AstraZeneca is testing agent-driven processes for research and sales, and Cisco Meraki is using MuleSoft’s “AI Chain” to connect its own language mod el with automated workflows for partner portals.