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first_img Doppler Finance has launched its native token XDP, with a total supply of 10 billion

Doppler Finance announced the launch of the native utility and governance token XDP, serving as the protocol coordination layer, supporting user participation, decentralized governance, and ecological growth. XDP is designed around three main functions: protocol privileges, governance, and future security modules. Users can stake XDP to gain access to premium vaults and strategies, priority for new products, and eligibility to participate in ecological activities; staking details will be announced separately.In terms of governance, XDP holders can participate in decisions regarding protocol parameters, ecological incentive budgets, vault plans, and future functionalities. The security module is planned to be launched in subsequent phases, where eligible users can configure their staked XDP into a coverage pool, assuming corresponding risks to earn additional incentives. The total supply of XDP is 10 billion, with over half allocated to ecological development, vaults, partners, and community growth, while contributors and investors have longer lock-up and vesting arrangements.The XDP genesis airdrop accounts for 1.0%, which will be fully unlocked for early users, contributors, and supporters at TGE; an additional 43% is allocated for ecology and incentives, to support subsequent Doppler Points seasons, XDP staking, and other community programs. The official contract address will only be published through official Doppler channels, and users should be wary of third-party information, phishing websites, and any requests for funds or private keys.

Zhipu has launched and open-sourced the "Niu Lai" model GLM-5.3-Flash

Zhipu officially announced the launch and open-sourcing of GLM-5.3-Flash, which is the first native multimodal model in the GLM-5 series.It is reported that the overall performance of GLM-5.3-Flash exceeds that of GLM-5.2, with programming and Agent evaluations approaching Claude Opus 4.8, but at only one-tenth the price of GLM-5.2. It also features a new foundational model, introducing a mixed architecture of sparse attention and linear attention for the first time in the main GLM series, and is pre-trained with 30T Token multimodal data.Zhipu stated that to gather extensive and professional feedback from a wide range of users, large-scale testing was conducted with the anonymous model Ox-Alpha (referred to as "Niu Lai" in the Chinese community) on OpenCode and OpenRouter before the official release. Ox-Alpha quickly became the most popular model of the week, setting a new high for call volume on both platforms, with all request traffic supported by domestic chip computing power.Previously, the community's DeepSWE small sample test for Ox Alpha once achieved 80%, but that was based on only 10 questions. After expanding the sample, the score fell back to about 63%, and testers also actively corrected the initial claim. This score still belongs to the top tier, but is not as exaggerated as the initial 80%. After the weights are open-sourced, developers can directly deploy using frameworks like vLLM, SGLang, KTransformers, without needing to go through the anonymous model's API.

first_img Thomson Reuters launched its self-developed AI model Thomson-1, based on Alibaba's open-source Qwen

According to Business Insider, Thomson Reuters launched its first self-developed AI model, Thomson-1, on Monday. This model is based on Snowdon and constructed through "re-alignment" of Alibaba's open-source Qwen model. Open-source means anyone can download and modify the model for free. Thomson-1 will take over some tasks previously handled by Anthropic's Claude, but it is not intended to completely replace collaboration with Anthropic and other labs, initially focusing on the company's areas of expertise, starting with document review.This move aims to address the high AI costs brought by models like Claude and OpenAI Codex, and reflects the use of cheaper Chinese open-source AI. CTO Joel Hron stated that the main reason is to better leverage Thomson Reuters' own expertise and control costs. The company expanded its collaboration with Anthropic in May this year for the AI legal assistant CoCounsel, which still primarily relies on Claude. Hron said, "Our main goal is to gradually make Thomson the model that drives more and more capabilities for CoCounsel."Thomson Reuters, in collaboration with a team from Imperial College London, spent months transforming Qwen to build Snowdon and ensured it is "ethically and politically bias-processed and safe to use." Hron pointed out that having a proprietary model allows for development based on its own intellectual property rather than continuously paying external AI companies, comparing it to renting versus buying a house: renting provides shelter but does not accumulate long-term equity.
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