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

  1. Qwen's latest 3.7 Max preview version lands! Two generations of ultra-large cups iterate in parallel, Lin Junyang has left but is still accelerating

    Alibaba's Qwen team has released preview versions of its Qwen 3.7 Max and Qwen 3.7 Plus models, showcasing rapid iteration cycles. The Qwen 3.7 Max model has achieved top rankings among Chinese models in text-based benchmarks on Arena, placing 13th overall and within the top ten for specific categories like math and coding. The Qwen 3.7 Plus model also performed strongly in visual benchmarks, securing the top spot for Chinese models in that domain. AI

    IMPACT Accelerates the pace of frontier model development and competition among leading AI labs globally.

  2. Google’s new anything-to-anything AI model is wild Just a stuffed deer having the time of his life. | Image: Gemini / The Verge Last year I deepfaked my kid's s

    Google has unveiled Gemini 1.5 Flash, a new lightweight model designed for high-volume, low-latency tasks. This model is optimized for speed and efficiency, making it suitable for applications requiring rapid responses. It is capable of processing various data types, including text, images, and video, and is being integrated into Google's products. AI

    IMPACT This efficient model release is poised to accelerate the deployment of AI across a wider range of applications requiring speed and cost-effectiveness.

  3. 🧠 Gemini Developer API pricing updated for Gemini 3.1 tiers Flash-Lite is listed at $0.125/1M text-image-video input tokens and $0.75/1M output, with audio inpu

    Google has updated its Gemini Developer API pricing for the new 3.1 tiers. The Flash-Lite model will cost $0.125 per 1 million input tokens (text, image, video) and $0.75 per 1 million output tokens, with audio input priced at $0.25 per 1 million tokens. The Flash Live Preview model is more expensive, with input tokens at $0.75 and output tokens at $4.50 per 1 million text tokens. AI

    🧠 Gemini Developer API pricing updated for Gemini 3.1 tiers Flash-Lite is listed at $0.125/1M text-image-video input tokens and $0.75/1M output, with audio inpu

    IMPACT Sets pricing for new Gemini models, influencing developer adoption and cost considerations for AI applications.

  4. Google's I/O 2024 announcements just reset the AI developer stack

    Google has unveiled a suite of AI tools and models at its I/O 2024 conference, aiming to simplify AI development. The company introduced Gemini 1.5 Pro with a 2 million token context window, enabling reasoning over vast amounts of data, and Gemini 1.5 Flash for faster, high-volume tasks. Additionally, Google released Gemma 2, an open-source model family with a 27B parameter variant that rivals larger proprietary models, and Firebase Genkit, a framework to streamline the creation and deployment of AI-powered features. AI

    Google's I/O 2024 announcements just reset the AI developer stack

    IMPACT Google's new AI stack, including large-context models and an open-source option, lowers barriers for developers building complex AI applications.

  5. From Copilot to Cursor to Claude Code for VS Code: My Journey to the Optimal Setup

    A software developer details their journey to find the optimal AI coding assistant, ultimately settling on VS Code with the Claude Code Extension and a MAX plan. They found that while tools like GitHub Copilot and Cursor offered various models, Claude's ability to persistently debug complex code issues and its conversational depth made it superior for their architect-style development approach. The developer also noted that Gemini 3.1's tendency to inject unauthorized code and GPT-5.4's limitations in deep debugging led them back to Claude, whose usage limits refresh every five hours, making it a cost-effective and reliable choice. AI

    IMPACT Developers can optimize their AI coding toolchains by leveraging Claude's strengths in debugging and conversational depth.

  6. Agentic Chunking and Bayesian De-chunking of AI Generated Fuzzy Cognitive Maps: A Model of the Thucydides Trap

    A new paper from Anthropic and research from arXiv explore the complex relationship between US and Chinese AI development, challenging the notion of a simple race. While the US currently leads in frontier AI, the research highlights deep interconnections in talent, research, and shared inspiration between the two nations' AI ecosystems. Despite geopolitical tensions and calls for export controls, collaboration remains significant, with both countries adopting algorithms and inspiration from each other. Public perception also differs, with China showing greater optimism towards AI compared to the US, a sentiment potentially rooted in historical economic transformations. AI

    Agentic Chunking and Bayesian De-chunking of AI Generated Fuzzy Cognitive Maps: A Model of the Thucydides Trap

    IMPACT Highlights the complex, collaborative nature of AI development between the US and China, challenging simplistic notions of a competitive race.

  7. MERVIN: A Unified Framework for Multimodal Event Retrieval in Vietnamese News Videos

    Researchers have developed MERVIN, a unified multimodal framework designed for event retrieval in Vietnamese news videos. This system integrates visual features, transcripts, and video summaries, enhancing transcript quality with Gemini 1.5 Flash and using a Perception Encoder for visual data. MERVIN achieved high scores in the AI Challenge HCMC 2025, successfully retrieving all query results in the final round. AI

    IMPACT This framework could improve how users search and retrieve specific events from large archives of Vietnamese news videos.