News linked to both this project and an event.
Telegram has launched a no-code AI bot building tool, allowing users to obtain tokens via LobsterFather and connect to platforms like Telewer, GPTBots, and Lazy AI to create bots, supporting models such as GPT and Llama.The tool supports configuring conversation styles, task distribution, and multi-bot collaboration, and has been integrated with Telegram Business for use in scenarios such as auto-replies, community management, and customer inquiries. (Techiexpert)
According to the South China Morning Post, Interconnects AI, a U.S.-based AI tracking firm, released a report stating that as of March 2026, Alibaba Cloud’s Qwen series models accounted for over 50% of global open-source model downloads, with a cumulative total of 942.1 million downloads—far surpassing competitors such as Meta’s Llama and DeepSeek. In February alone, Qwen downloads reached 153.6 million—exceeding the combined total downloads of the next eight major vendors. The report notes that Qwen’s dominant position stems from the exceptional popularity of its smaller-parameter variants (under 10 billion parameters), which enable developers to customize and deploy models freely at low cost. Since the launch of Qwen 2.5 in September 2024, Chinese models have begun outpacing mainstream U.S. open-source models like Llama; the release of Qwen 3.5 in February this year further solidified its lead. Meanwhile, open-source strategy has become a critical battleground in the U.S.-China AI competition. Meta has abandoned its open-source approach this year, instead launching the closed-source flagship model Muse Spark. Similarly, Chinese vendors including Alibaba Cloud and Zhipu AI have shifted some of their latest models to closed-source to expand direct commercialization channels.