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[7/7] 221 sources

Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. SIGNIFICANT · 量子位 (QbitAI) 中文(ZH) · · [3 sources]

    The fastest among the top streams! Zhipu, are you 'spraying' code?

    Zhipu AI has released GLM-5.1-highspeed, a new API for its GLM-5.1 model that achieves an inference speed of 400 tokens per second. This new offering is positioned as the fastest among leading global LLM providers and has demonstrated impressive performance in real-world tests, including rapid code generation and content summarization. The speed enhancement is attributed to significant system engineering optimizations in the inference engine, scheduling system, and underlying infrastructure, aiming to improve the user experience for AI agents by reducing wait times and increasing feedback frequency. AI

    IMPACT Accelerates AI agent responsiveness and real-time interaction capabilities across various applications.

  2. TOOL · dev.to — LLM tag English(EN) ·

    Which LLM is the best stock picker? I built a benchmark to find out.

    A new benchmark, dubbed 1rok, has been launched to evaluate the stock-picking capabilities of frontier large language models. The benchmark assigns each participating LLM a virtual portfolio of $100,000 and tasks them with selecting stocks weekly, with performance tracked against market outcomes. This initiative aims to provide a more practical, downstream evaluation of LLMs beyond traditional coding and reasoning benchmarks, focusing on decision-making under uncertainty. AI

    Which LLM is the best stock picker? I built a benchmark to find out.

    IMPACT Provides a novel benchmark for evaluating LLM decision-making under uncertainty, moving beyond traditional coding and reasoning tasks.

  3. TOOL · r/cursor English(EN) · · [2 sources]

    Is Composer 2.5 better than Glm 5.1 and DeepSeek v4 pro in real world tasks?

    Users of the AI-powered code editor Cursor are expressing concern over potential changes to its pricing model. Some users are worried that Cursor might adopt a usage-based pricing system, similar to what they've observed with other AI tools like Codex and Claude. This shift would move away from their current flat monthly subscription, which is seen as more predictable and cost-effective for heavy users. AI

    IMPACT Potential pricing changes in AI coding tools could affect developer costs and adoption rates.

  4. SIGNIFICANT · dev.to — LLM tag 中文(ZH) · · [2 sources]

    Alibaba Qwen3.7-Max Released: 35 Hours of Autonomous Evolution, The Road to the Top for Domestic Large Models

    Alibaba has unveiled its new flagship large language model, Qwen3.7-Max, at the Cloud Summit. This model demonstrates a remarkable ability to autonomously evolve and optimize itself over 35 hours, a key feature that has propelled it to the top of the Arena leaderboard for Chinese AI models. Qwen3.7-Max also shows significant improvements in coding, multimodal understanding, and reasoning capabilities, approaching GPT-4o levels. AI

    Alibaba Qwen3.7-Max Released: 35 Hours of Autonomous Evolution, The Road to the Top for Domestic Large Models

    IMPACT Sets a new benchmark for Chinese LLMs and showcases advanced autonomous agent capabilities, potentially accelerating development in agentic AI.

  5. TOOL · dev.to — LLM tag Dansk(DA) · · [4 sources]

    Token Ledger Digest – 2026-05-20

    Several LLM providers have adjusted their pricing and model availability. Qwen saw mixed changes, with some variants increasing in price while others decreased, and new models like Qwen3.7 Max were introduced. Google's Gemini Flash Latest experienced a significant price hike, while Z.ai's GLM 5.1 became free. Additionally, Alibaba's Tongyi DeepResearch 30B A3B model was removed from catalogs, prompting users to seek alternatives. AI

    Token Ledger Digest – 2026-05-20

    IMPACT Operators should monitor LLM pricing changes and model availability for cost optimization and workflow continuity.

  6. TOOL · Together AI blog English(EN) ·

    Announcing Together AI and Adaption Partnership

    Together AI has partnered with Adaption, a company co-founded by former Cohere and Google DeepMind leaders Sara Hooker and Sudip Roy. This collaboration integrates Adaption's data optimization tools with Together AI's fine-tuning infrastructure. The partnership aims to streamline the process for users to create high-quality, fine-tuned open-source models by improving dataset quality and simplifying the experimentation and deployment workflow. AI

    IMPACT Streamlines the creation of specialized open-source models by enhancing data quality and fine-tuning workflows.

  7. COMMENTARY · The Batch (deeplearning.ai) English(EN) · · [2 sources]

    GLM 5.1 Thinks Strategically, Data

    Andrew Ng's latest newsletter categorizes software development tasks by how much coding agents accelerate them. Frontend development sees the most significant speed-up due to agents' fluency in popular languages and frameworks, along with their ability to iterate via browser operation. Backend development is moderately accelerated, but requires more human oversight for corner cases and debugging. Infrastructure and research tasks are least impacted, as agents have limited knowledge of complex systems and the core of research involves more than just coding. AI

    GLM 5.1 Thinks Strategically, Data

    IMPACT Provides a framework for understanding how AI coding tools are impacting various software development roles and workflows.