RITS

Author: uet200

  • Li Kaifu’s Zero One Infinity Shifts Gears: Teams Join Alibaba, AGI Pursuit Paused

    In a recent interview with LatePost, Zero One Infinity (零一万物) CEO Li Kaifu revealed a major strategic pivot: the company has formed an “Industrial Large-Model Joint Laboratory” with Alibaba Cloud, and most of its training and AI-infrastructure teams will transfer to Alibaba as employees. As a result, Zero One Infinity will no longer chase the […]

  • Introducing Jan-Nano: A Compact Agentic Language Model for Deep Research

    Menlo Research has unveiled Jan-Nano, a streamlined 4-billion parameter (4.02B) language model purpose-built for deep research tasks and tool-augmented workflows. Built on the Qwen3 architecture, Jan-Nano excels at integrating with external data sources and research tools via the Model Context Protocol (MCP) (huggingface.co, en.wikipedia.org). Key points Menlo Research has unveiled Jan-Nano, a 4.02-billion-parameter language model […]

  • Unlocking Efficiency: Best Practices for Agentic Coding with Claude Code

    Agentic coding—with AI agents autonomously interacting with codebases—promises to accelerate development, reduce context-switching, and standardize workflows. Claude Code, Anthropic’s command-line tool, brings agentic coding into your terminal, enabling native integration of the Claude model into everyday engineering tasks. Below, we explore proven strategies for customizing your environment, extending Claude’s capabilities, and adopting workflows that harness […]

  • Introducing V-JEPA 2: Meta’s Self-Supervised Video World Model for Understanding, Prediction, and Planning

    Meta’s FAIR research team has just released V-JEPA 2, a cutting-edge world model trained on large-scale video data that enables AI agents to understand, predict, and even plan in the physical world. Building on the original JEPA (Joint Embedding Predictive Architecture) framework, V-JEPA 2 is pretrained on over 1 million hours of internet video and […]

  • Seaweed APT2: Real-Time Interactive Video Generation with Autoregressive Adversarial Post-Training

    Seaweed APT2 is a groundbreaking streaming video generation model designed for real-time interactive applications. Building on its predecessor (APT1), APT2 employs an autoregressive adversarial post-training paradigm that allows it to generate continuous video frames with minimal latency. At its core, the model produces a single latent frame—equivalent to four video frames—using only one network forward […]

  • Tencent Hunyuan3D: A One-Stop AI 3D Content Creation Platform

    Tencent’s Hunyuan3D platform (https://3d-models.hunyuan.tencent.com/) brings the power of generative AI to every step of the 3D-asset pipeline. Whether you’re a game designer, filmmaker, product modeller, or hobbyist creator, Hunyuan3D offers a suite of tools that let you go from concept to production–ready models in seconds. Key points Tencent’s Hunyuan3D is a platform that applies generative […]

  • Introducing Chatterbox: Resemble AI’s State-of-the-Art Open-Source Text-to-Speech Model

    Resemble AI’s Chatterbox is the first production-grade, open-source text-to-speech (TTS) model designed to deliver human-quality speech synthesis without the constraints of closed systems (github.com). Built on a 0.5 billion-parameter Llama backbone and trained on over 500,000 hours of cleaned audio data, Chatterbox consistently outperforms leading proprietary solutions like ElevenLabs in head-to-head evaluations (github.com). Key points […]

  • Introducing the Claude Code SDK for Python: Streamline Your AI-Powered Coding Workflow

    Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster through natural-language commands. By integrating directly with your development environment, Claude Code lets you perform code edits, run tests, search git history, and even commit changes—all without leaving the CLI (docs.anthropic.com, docs.anthropic.com). Key points The […]

  • MiniMax M1: The World’s First Open-Weight, Million-Token Context AI Model

    MiniMax, a Shanghai-based AI company founded in 2021, has released MiniMax M1, an open-weight reasoning model designed to handle extremely long inputs—up to one million tokens—while maintaining high inference efficiency. This marks a significant milestone in large-scale model design, positioning M1 as a leader in applications requiring deep, multi-step reasoning over vast contexts (arxiv.org, en.wikipedia.org). […]

  • Update to GitHub Copilot Consumptive Billing Experience

    GitHub has rolled out an important enhancement to the Copilot billing model, introducing consumptive billing with enforced monthly allowances for premium requests. Effective June 18, 2025, all paid Copilot plans—Pro, Pro+, Business, and Enterprise—now have a defined number of “premium requests” per user that reset on the first of each month. Premium requests unlock access […]