RITS

Category: AI

  • 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). […]

  • Turning Your Images into 5-Second Videos with Midjourney

    Midjourney’s latest feature lets you transform any still image into a dynamic 5-second video—all from your browser. Whether you’re a digital artist, content creator, or simply curious about generative AI, this tutorial will guide you through every step of creating, customizing, and extending short videos using Midjourney’s intuitive web interface. Key points Midjourney can transform […]

  • 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 […]

  • Claude Pro Account Users Now Have Access to Claude Code

    Great news for developers and AI enthusiasts—Anthropic’s powerful Claude Code tool is now officially available to users on the Claude Pro plan. Key points Anthropic’s Claude Code tool is now officially available to users on the Claude Pro plan, after previously being limited to the more expensive Max plan. Claude Code is Anthropic’s coding-focused interface […]

  • Self Forcing: The New Holy Grail for Real-Time Video Generation?

    A new approach called Self Forcing is making waves in the field of video generation, being hailed by some as the “Holy Grail” of autoregressive video modeling. Developed by researchers from Adobe Research and UT Austin, this method promises both speed and quality—without the common pitfalls of traditional training paradigms. Key points Self Forcing is […]

  • Understanding Apple’s Parallel-Track MoE Architecture

    Apple recently introduced a novel Parallel-Track Mixture‑of‑Experts (PT‑MoE) architecture for their server-side language models, aiming to dramatically improve scalability and efficiency while preserving model quality (machinelearning.apple.com). Key points Apple recently introduced a Parallel-Track Mixture-of-Experts (PT-MoE) architecture for its server-side language models, aiming to dramatically improve scalability and efficiency while preserving model quality. Rather than a […]