返回新聞
產品展示AI Understanding 簡報

Meta launches AI tools for building mobile games

Meta introduced Horizon Create and Horizon Studio at Meta Connect, allowing users to generate 2D and 3D mobile games via text prompts on phones or browsers, with distribution across Facebook, Instagram, and Horizon.

4 min readRead the linked source
Source-provided image accompanying Meta launches AI tools for building mobile games
來源參考來源記錄
出版商
developers.meta.com
來源連結
developers.meta.comhttps://developers.meta.com/blog/meta-connect-recap-horizon-create-and-horizon-studio
來源類型
連結來源-主要來源狀態尚未確定。
背景60 秒內了解這一點

從這裡開始

關鍵術語

生成式 AI
產生文字、圖像、音訊、視訊或程式碼等新內容的人工智慧系統。
嵌入
擷取文字、影像或其他資料語意的數位向量表示。
剪輯
一種學習文字和圖像之間共享表示的多模態模型架構。
測試一下自己AI 代理測驗

發生了什麼事

Meta announced Horizon Create and Horizon Studio, two AI-powered tools for generating complete 2D and 3D mobile games from text prompts. Horizon Create is a mobile app, while Horizon Studio is a browser-based environment with granular controls. Both tools are in early access with a waitlist for broader rollout.

At Meta Connect, the company introduced Horizon Create and Horizon Studio, two new tools built on the agentic creation capabilities of the Meta Horizon Engine. These tools enable creators to turn ideas into complete 2D or 3D mobile games, including progression systems, balanced difficulty, art direction, and multiplayer support.

Horizon Create is a standalone mobile app that allows users to describe a game in natural language and watch it come to life. It supports multiple simultaneous projects and allows users to playtest while the engine generates content. Horizon Studio is a browser-based environment that offers the same natural-language prompting but adds visual editing capabilities, such as arranging scenes, swapping assets, and tuning script parameters.

The two tools share a common backend, allowing projects to transfer seamlessly between the mobile app and the browser interface. When a game is published from either tool, it becomes eligible for native distribution across Facebook, Instagram, and Horizon. This means users can play games directly within social feeds without downloading separate applications.

Meta states that discovery for these games is driven by engagement metrics, with stable and culturally relevant games earning more reach. The company also notes that all generated content passes through existing safety systems, including automated age ratings and youth protections via Family Center.

來源詳情: developers.meta.com ↗

為什麼這很重要

This launch lowers the barrier to entry for game development by using agentic AI to handle complex tasks like art direction, mechanics, and multiplayer systems. It integrates directly into Meta's social platforms, enabling native distribution without app downloads. This shift could democratize game creation and alter how content is discovered and monetized within social feeds.

By integrating AI-driven game creation directly into social platforms, Meta is attempting to remove traditional barriers to game development, such as the need for expensive hardware, specialized coding skills, and months of production time. This could significantly expand the pool of creators able to produce playable content.

The native distribution model changes the user experience by games directly into the feeds of Facebook and Instagram. This reduces friction for players, who can enter multiplayer sessions instantly from a social , potentially increasing overall engagement and time spent on Meta platforms.

The reliance on agentic AI for core game elements like art and mechanics represents a practical application of in a complex creative field. It shifts the creator's role from technical implementation to high-level direction and refinement, which may influence future trends in software development and creative industries.

Interactive Mechanism

互動機制:它實際上是如何運作的

以互動方式探索這項發展背後的基礎技術。

Agent Lifecycle Stage:
1
User Intent & Planning: "Audit customer refund request #4092 and settle payment."
2
Tool Calling: Emits structured JSON call crm_get_transaction(id='4092').
3
Guardrail & Verification:🛡️ Paused: High-value action requires human operator sign-off.
4
Final Settlement: Refund recorded, email receipt dispatched, and audit log stored.
Core takeaway: An AI agent is not just a language model—it is a closed loop of planning, tool invocation, and environment feedback. Production systems require self-healing retries and strict human approval guardrails.
互動式概念檢查+10 Points
AI Agents Quiz

What most distinguishes an AI agent from a basic chatbot?

接下來看什麼

Monitor the waitlist rollout timeline, specific monetization details from the Meta Horizon Creator Fund, and how the automated age-rating and safety systems handle user-generated AI content.

The source indicates that early access is rolling out gradually and that users must sign up for a waitlist. The specific timeline for general availability is not provided, so the current status is limited to testing with a creator community.

Monetization details are mentioned as 'coming soon,' with references to in-game monetization and the Meta Horizon Creator Fund. The specific revenue share models or eligibility criteria for these funds are not yet documented in the source.

The effectiveness of the automated safety and age-rating systems for AI-generated games will be a key factor in how these tools are received by regulators and parents, particularly given the integration with youth-focused platforms like Instagram.

相關指引和測驗

人工智慧代理人工智慧模型解釋什麼是人工智慧?測試你所知道的—嘗試免費的人工智慧測驗在我們的詞彙表中尋找人工智慧術語
覺得有用嗎?