# Ant Ling — Ming-UniVision: Joint Image Understanding and Generation via a Unified Continuous Tokenizer

- Company: Ant Ling (ant-ling.com)
- Announced: 2025-10-01
- Category: research-paper
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://developer.ant-ling.com/en/blogs/mingtok
- Record: https://forck.live/items/22338-ming-univision-joint-image-understanding-and-generation-via-a-unified
- Subject: Ling / Ring / Ming
- Models affected: Ming-UniVision, MingTok

Ant Ling introduced Ming-UniVision, an autoregressive vision-language model built on the MingTok tokenizer, which is the first visual tokenizer based on a continuous latent space. The unified representation supports image understanding, generation, and editing within a single next-token prediction framework, achieving over 3.5× faster training convergence compared to traditional approaches.

## Evidence

Verbatim from https://developer.ant-ling.com/en/blogs/mingtok:

> MingTok is the first visual tokenizer based on a continuous latent space. It delivers a truly unified and efficient representation that serves as the bedrock for Ming‑UniVision’s unified NTP (Next‑Token Prediction) framework—harmonizing image understanding, generation, and editing in one in‑context multimodal loop.

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Record: https://forck.live/items/22338-ming-univision-joint-image-understanding-and-generation-via-a-unified
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