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Project Overview
Llama is an onchain governance and access control framework for smart contracts. It aims to make the governance of blockchain protocols more effective by enabling protocols to encode roles and permissions to take on-chain actions, such as transferring funds or changing protocol parameters.
Telegram Launches No-Code AI Bot Building Tool
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)
Alibaba Cloud’s Qwen series accounts for over 50% of global open-source model downloads, with a cumulative total of nearly 1 billion downloads.
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.
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Polymarket shows "US government will ban open-source AI models in 2026" probability currently at 16%
The PPP Prediction Market Tool monitors that on Polymarket, for the event "Will the US government ban open-source AI models in 2026?", the "Yes" probability is currently at 16%.According to the resolution rules, if the US federal government, before December 31, 2026, through legislation, executive orders, export controls, or other formal policy actions, restricts the US public's access or use of a specific open-source AI model, the market outcome will be resolved as "Yes." Otherwise, the market outcome will be resolved as "No." Eligible open-source AI models refer to general-purpose large language models or multimodal foundation models whose model weights and source code are publicly downloadable and can be run on hardware under user control, such as Meta Llama, Mistral, DeepSeek, Qwen, etc.Recently, the open-source Kimi K3 model launched by Moonshot AI has drawn market attention to whether it will impact closed-source AI. OpenAI's Director of Strategy, Dean W. Ball, stated on X platform that the US government might adopt soft legal measures to prevent open-source models from entering the US. David Sacks, Chairman of the President's Council of Advisors on Science and Technology, believes that using regulatory uncertainty to suppress open-source competition is "unacceptable."Join the PPP Signal Push Community to stay ahead and seize the opportunity.
Telegram Launches No-Code AI Bot Building Tool
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)
Alibaba Cloud’s Qwen series accounts for over 50% of global open-source model downloads, with a cumulative total of nearly 1 billion downloads.
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.