Daily curated AI news: breakthroughs, product launches, industry trends and more.
Total 174 articles
OpenAI announces a new round of $110 billion funding, with investors including Amazon, NVIDIA, and SoftBank, contributing $50 billion, $30 billion, and $30 billion respectively. Prior to this funding, the company's valuation had reached $730 billion. OpenAI has also established a strategic partnership with Amazon and agreed on next-generation inference computing technology with NVIDIA.
Google's DeepMind has officially released the next-generation image generation model, Nano Banana 2 (Gemini 3.1 Flash Image). The model achieves a balance between image quality and generation speed, primarily by leveraging Gemini's knowledge base and real-time web search, significantly enhancing its understanding of complex Chinese prompts, spatial proportions, real-world common sense, and multi-object consistency.
The global first evolutionary collaboration platform for AI agents, EvoMap, uses its unique Gene Evolution Protocol (GEP) to encapsulate successful strategies accumulated by agents in tasks into standardized "gene capsules." These capsules are shared, verified, and inherited through a decentralized network, effectively addressing the pain point of "isolated experiences" in the AI agent ecosystem.
Anthropic has released the Claude Sonnet 4.6 model, which shows significant performance improvements in programming, agent planning, and computer usage in office scenarios, with intelligence levels approaching or even surpassing those of the company's flagship model, Opus 4.6. With a context window of 1 million tokens, it can refactor an entire codebase in a single call. The price remains the same as the previous generation, but it offers better value and is now available on the claude.ai platform and Amazon Web Services (AWS).
The Qwen3.5 team has officially released the next-generation Qwen3.5 series, with the flagship model Qwen3.5-397B-A17B featuring an innovative hybrid attention and sparse MoE architecture, significantly improving inference efficiency. This model competes with top-tier models like GPT-5.2, Claude 4.5, and Gemini 3 Pro in various cutting-edge benchmark tests, demonstrating comprehensive and leading performance.
ByteDance announced today that the DouBao Large Model has officially entered the 2.0 phase, launching Seed2.0, which includes Pro, Lite, Mini, and Code versions. The new versions have been systematically optimized in terms of reasoning, multimodal understanding, and complex instruction execution capabilities. The Pro version has performed excellently in various academic and reasoning benchmark tests, achieving or surpassing top models like GPT 5.2 and Gemini 3 Pro.
The AgentScope team officially released the personal intelligent agent “CoPaw,” positioning it as a “collaborative personal intelligent agent workspace.” CoPaw is a dedicated intelligent partner that users can deploy locally, simplifying the installation process and enhancing the user experience. Compared to its predecessor OpenClaw, CoPaw focuses on minimal installation and a unified experience, supporting quick deployment on local computers (macOS/Windows/Linux) via simple commands and one-click cloud deployment in Alibaba Cloud’s “ModelScope Creation Space.”
MiniMax has officially released the M2.5 model, which achieves or sets new industry SOTA levels in advanced productivity scenarios such as programming, search tool invocation, and office work. The M2.5 model significantly improves task decomposition and reasoning efficiency, completing tasks 37% faster on the SWE-Bench Verified programming benchmark compared to the previous M2.1 model.
Zhipu AI has announced the open-sourcing of its latest flagship model, GLM-5, which has been scaled up to 744B parameters (40B active parameters) and trained on 28.5T of data. The model achieves state-of-the-art (SOTA) performance in programming and agent capabilities, with overall performance approaching Claude Opus 4.5. GLM-5 leads in multiple programming benchmarks and can complete complex system engineering and long-term agent tasks, supporting resource planning scenarios such as vending machine operation simulations.
On Wednesday, February 11, iFLYTEK officially released the Spark X2 large model, which is trained on entirely domestic computing power, and launched the API. Spark X2 matches international top-tier models in core metrics such as mathematics, reasoning, and language understanding, supports over 130 languages, and has improved reasoning performance by 50% compared to its predecessor, achieving deployment on a single domestic Ascend server.
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