In brief
Google MUM, short for Multitask United Model, is a language model built on a Transformer architecture like BERT, but able to process far more information at once and handle multiple tasks simultaneously. It works across over 75 languages, reads text and understands images, and combines sources into layered answers, so complex queries that once needed several searches can be answered more completely.
- MUM can gather information from sources written in over 75 languages and turn it into informative, multi-layered answers
- Google said MUM would also be able to understand audio and video in the future, beyond text and images
- Google kept testing MUM before adding it to products, looking for patterns in machine learning that could be read as bias
Google MUM: What is it and why is it so powerful?
Google’s constant changes, updates, and investments in AI to provide the most accurate and useful results have reached a whole new level, leading to the development of a new language model called Google MUM.
It is built on a Transformer architecture like BERT.
The difference between the two models is in the amount of information each can process, at once.
What is Google MUM?
According to Google, MUM (Multitask United Model) will be able to handle multiple tasks, all at the same time.
It is a system that operates in over 75 languages, allowing it to better understand information and generate the most accurate results possible for user queries.
The technology can change the way Google helps you with more complex queries.
These are the main features:
- It can read and interpret text
- Forms deeper conclusions
- Understood images
- Can gather information from over 75 languages
- Translates all results into informative, multi-layered content that answers questions
- According to Google, it will also be able to understand audio and video in the future.
Provide better results than ever
There is no doubt that Google is the best search engine for answering search queries. But the idea behind MUM is to help users with more complex tasks.
Long story short, Google wants to make our lives even easier.
There are times when we can’t find the information we want and to get the results we need, we perform multiple search queries. MUM will have the ability to scan the entire web at a deeper level and at a reduced speed.
It can collect and provide information from multiple sources, written in multiple languages. This means a significant change in the way we access, process and receive information.
So what does this really mean for you?
If you thought Google was good at answering your questions today, wait until MUM gives you even better, more relevant and useful results. For now, Google is continuing to test MUM until it is confident that it is safe to bring the features and improvements to its own products.
They want to avoid biased information and are carefully looking for patterns that can be misinterpreted as bias in machine learning.
What does the shift to Al mean?
The impact of MUM on overall search results remains unclear for now. But it could completely change the way we perceive, create and consume content online. It could impact the way bloggers, journalists, and all other content creators generate revenue through their website traffic.
And overall, it could change the way rankings work and the way SEO is done to drive organic traffic to your website.
Frequently asked questions
What does Google MUM stand for?
MUM stands for Multitask United Model. It is a Google language model designed to handle multiple tasks at the same time. Like BERT, it is built on a Transformer architecture, but it can process a much larger amount of information at once, which lets it deal with more complex search queries.
What is the difference between Google MUM and BERT?
Both MUM and BERT are built on a Transformer architecture. The key difference is the amount of information each can process at once: MUM handles far more and can work on several tasks simultaneously, reading text, understanding images and drawing on content written in over 75 languages.
How many languages does Google MUM understand?
Google MUM operates in over 75 languages. This lets it collect information from sources written in different languages and combine it into a single, informative answer. For users, the result is access to relevant content that would otherwise stay hidden behind a language barrier.
How does Google MUM help with complex searches?
MUM is meant for complex tasks where users currently run several queries to find what they need. It scans the web at a deeper level, gathers information from multiple sources and languages, and delivers multi-layered content that answers the question more completely, reducing the need for repeated searches.
How will Google MUM affect SEO?
The full impact on search results is still unclear. MUM could change how content is perceived, created and consumed online, how rankings work and how SEO drives organic traffic. Bloggers, journalists and other creators who earn revenue from website traffic could see the biggest effects.
Last substantive revision: May 12, 2025.
