Google Launches Vibe Coding in AI Studio

Google debuts Vibe Coding for instant AI app creation, Tencent unveils HunyuanWorld-Mirror for rapid 3D world generation, and Runway launches Workflows to automate creative video production

The AI race is heating up with breakthroughs in instant app creation, 3D world building, and automated video production.

💻 Vibe Coding by Google AI Studio – Build AI apps just by talking. Powered by Gemini 2.5 Pro, Google’s new Vibe Coding brings natural language coding to life with a unified Build tab, GitHub integration, and one-click Google Cloud deployment. It’s a major leap toward effortless app creation for everyone.

🌍 Tencent HunyuanWorld-Mirror – Turn any 2D image into a 3D world in seconds. Tencent’s new foundation model reconstructs realistic, navigable environments almost instantly, pushing the limits of gaming, simulation, and VR realism.

🎬 Runway Workflows – Automate your creative flow. Runway’s latest feature lets users string together AI tools into seamless video creation pipelines, from image-to-video transformations to generative edits, making high-quality production faster than ever.

From instant app prototyping to rapid 3D rendering and creative automation, this week’s AI news is all about speed, scale, and imagination.

Google AI Studio Launches Vibe Coding: Build and Deploy AI Apps in Minutes

Google has unveiled a major upgrade to its AI Studio platform with the introduction of "Vibe Coding," a groundbreaking AI-first coding experience designed to simplify app development for everyone, from novices to seasoned developers. Powered by Gemini 2.5 Pro and other modular AI tools like Imagine and Veo, Vibe Coding lets users generate and refine AI-powered applications using natural language prompts within a unified, easy-to-use interface. Key features include a new Build tab with an application gallery, context-aware suggestions, GitHub integration, and one-click deployment to Google Cloud. Designed to lower the technical barrier, this update empowers rapid prototyping and seamless app publishing, positioning AI Studio as a central hub in Google's AI developer ecosystem and a strong competitor to platforms such as Anthropic's Claude Code and OpenAI's Codex.

Tencent’s AI Breakthrough Delivers Instant 3D World Reconstruction

Tencent's Hunyuan team has introduced HunyuanWorld-Mirror, a groundbreaking foundation model that transforms 2D images or short videos into navigable, realistic 3D worlds nearly instantly. Unlike traditional slow and complex methods, this feed-forward model enables AI to perceive depth, shape, and spatial meaning from flat pictures, recreating immersive environments at unprecedented speed. HunyuanWorld-Mirror represents a major advance in AI's ability to see and understand the world more like humans do, unlocking new possibilities in gaming, simulation, and virtual reality applications. This innovation highlights Tencent’s commitment to pushing the boundaries of 3D vision and multimodal AI technology.

Runway Workflows: A New Era of Customizable Creative Pipelines

Runway has introduced Workflows, a powerful new feature designed to simplify and automate complex video creation processes. With Workflows, users can string together multiple AI-powered tools and editing steps into seamless, repeatable pipelines that save time and enhance consistency. Whether for transforming images into videos, applying generative effects, or integrating audio and 3D elements, Workflows enable creators to automate their favorite sequences and experiment faster. This innovation supports both solo artists and collaborative teams by reducing manual effort and enabling creative exploration at scale across Runway’s cloud-based platform. Available now, Workflows transform creative video projects from tedious stacks of tasks into elegant, efficient productions.​

Hand Picked Video

In this video, we’ll look at real-world GPT-5 use cases from coding and writing to reasoning and research to see if it truly lives up to the hype and how it stacks up in everyday tasks.

Top AI Products from this week

  • Nimo - Nimo is an agentic AI canvas that organizes your AI apps, agents, conversations, and outputs in one unlimited visual workspace. It integrates with 100+ productivity tools like Gmail, Google Sheets, Notion, and Jira, offering dynamic AI cards instead of tabs for live context and real-time updates—all processed locally to ensure complete data privacy and control.

  • Composite - Composite, an AI-powered browser automation tool, runs locally on your machine, eliminating tedious manual web tasks. Designed for professionals, it integrates with popular web apps to automate repetitive work and boost productivity effortlessly.

  • Julius AI Slack Agent - Julius AI Slack Agent turns your Slack workspace into a smart hub by instantly answering questions, summarizing chats, and automating tasks, all through simple chat commands.

  • Xano - Xano lets build scalable APIs, manage databases, and automate business logic without writing code. It combines a visual interface with advanced features enabling fast development of secure, production-ready backends.

  • Cosine - Powered by the advanced Genie model, Cosine mimics human reasoning for efficient bug fixes, feature development, and refactoring, helping teams reduce backlog and speed up software delivery without micromanagement.

  • Lindy - With natural language commands, Lindy quickly builds intelligent workflows that integrate with your apps, handle meetings, manage emails, generate leads, and provide real-time insights, making it a versatile AI employee that boosts productivity without coding.

This week in AI

  • Model Fine-tuning by RunwayML - RunwayML introduces model fine-tuning to enable users to customize generative video models for specific real-world applications like robotics, life sciences, education, architecture, and design, addressing limitations of general-purpose models and opening new industry use cases beyond creative demos.​

  • Hidden AI Prompt Injection Threats - Brave researchers uncovered a new class of “invisible” prompt injection attacks in AI browsers, where hidden text in webpages or images can hijack AI assistants to perform unauthorized actions, exposing major security risks in agentic browsing.

  • Sora Roadmap Teases Cameos and Editing Features - OpenAI’s Sora roadmap introduces character cameos, new editing features, collaborative channels, and an upcoming Android app, expanding creative control after the platform hit 1 million iOS downloads.

  • Coaching LLM Agents for Social Behavior - Researchers present a multi-agent LLM simulation framework where agents learn social behaviors like interaction, coordination, and emotional support through reward-based coaching, leading to emergent social ties and realistic online community dynamics.

  • Google’s Quantum Computing Breakthrough - Google Quantum AI has demonstrated the first verifiable quantum algorithm running on their Willow chip that operates 13,000 times faster than top classical supercomputers, marking a key step toward practical quantum applications in medicine and materials science. This breakthrough builds on past milestones from 2019 and 2024, pushing quantum computers closer to transformative real-world impact.

  • ChatGPT’s Limits in Legal Principle Extraction - The study reveals that ChatGPT struggles to curately and comprehensively extract legal principles from court judgments, producing incomplete results and frequent errors, highlighting its significant limitations compared to human experts and Regex-based methods in legal reasoning tasks.

Paper of The Day

The paper introduces PROBE, a benchmark that evaluates large language model agents' ability to proactively search for issues, identify critical bottlenecks, and execute suitable resolutions autonomously over long-term, multi-document contexts. Evaluations on state-of-the-art LLMs such as GPT-5 and Claude Opus 4.1 reveal that even top models achieve only about 40% success in fully solving the benchmark tasks, highlighting substantial challenges in evidence retrieval, root cause analysis, interpersonal reasoning, and precise action execution. This work exposes current limitations in proactive AI agents and sets a foundation for future research toward dynamic, personalized, and anticipatory AI assistance in complex real-world environments.


To read the whole paper 👉️ here