gen‑ai.news
← Back
Video

Snap spins off AI video team into new company, Dotmo, due to costs

Snap has confirmed it is spinning off its AI video development team into a standalone company named Dotmo. The employees involved are leaving Snap to join the new venture, which will concentrate exclusively on generative AI video. Cost pressure is cited as the primary reason for the separation, reflecting a broader tension that social media companies face when trying to fund cutting-edge generative AI research alongside their core advertising businesses.

This is not the first time Snap has restructured by spinning out an internal unit. The company has periodically offloaded projects and teams that do not fit neatly within its consumer-facing product priorities or that carry expense profiles difficult to justify on a social platform's balance sheet. Generative video is particularly capital-intensive, requiring significant compute for both training and inference, which makes it a challenging fit for a company still working toward consistent profitability.

By forming Dotmo as a separate entity, the departing team gains the flexibility to pursue outside funding and operate with a focus specific to AI video - something that can be harder to maintain inside a larger company with competing priorities. For Snap, the arrangement reduces ongoing overhead while potentially preserving some relationship with the technology if Dotmo progresses and partnership opportunities arise.

The generative AI video space has grown increasingly competitive, with dedicated startups and well-funded labs releasing capable models at a steady pace. Dotmo will enter that landscape as a relatively small, focused team with direct experience building AI video tools inside a major consumer platform. Whether that background translates into a durable product or business model will depend on the team's ability to secure funding and differentiate in a crowded field.

Enjoy this story? Get the next one in your inbox.

Twice a week: the most important stories in generative image and video AI, distilled into a 2-minute read.

Free. Unsubscribe any time. No spam, ever.

Your next read

Video

Amazon, Nvidia, and AMD bet $310 million on AI startup building 3D world models

Odyssey ML has raised $310 million from Amazon, Nvidia, and AMD, pushing its valuation to $1.45 billion. The startup is focused on building 3D world models - AI systems that can understand and generate structured representations of physical space. The round also draws in notable backers including Google chief scientist Jeff Dean and CIA-linked venture fund IQT.

No image
Video

Meet Qwen-RobotSuite: Three Embodied AI Models for VLA Manipulation, Video World Modeling, and Navigation

The Qwen team has released Qwen-RobotSuite, a collection of three specialized models targeting different challenges in embodied AI: physical manipulation, world modeling, and navigation. Each model draws on existing Qwen language and vision foundations while introducing architecture and training choices tuned for robotics tasks. The release comes with benchmark results and details on the data pipelines used to train each system.

Video

Cutback launches AI tool to automate long-form video editing

Cutback has introduced Selects, an AI editing assistant designed to handle the early, time-consuming stages of long-form video editing. The tool ingests raw footage, organizes it automatically, and produces a draft edit based on a single text prompt. It targets creators and editors who spend significant time just getting footage into a workable shape before any real editing begins.