The Most Capable Open Source AI Model Yet Could Supercharge AI Agents
The most capable open source AI model with visual abilities yet could see more developers, researchers, and startups develop AI agents that can carry out useful chores on your computers for you.
Released today by the Allen Institute for AI (Ai2), the Multimodal Open Language Model, or Molmo, can interpret images as well as converse through a chat interface. This means it can make sense of a computer screen, potentially helping an AI agent perform tasks such as browsing the web, navigating through file directories, and drafting documents.
“With this release, many more people can deploy a multimodal model,” says Ali Farhadi, CEO of Ai2, a research organization based in Seattle, Washington, and a computer scientist at the University of Washington. “It should be an enabler for next-generation apps.”
So-called AI agents are being widely touted as the next big thing in AI, with OpenAI, Google, and others racing to develop them. Agents have become a buzzword of late, but the grand vision is for AI to go well beyond chatting to reliably take complex and sophisticated actions on computers when given a command. This capability has yet to materialize at any kind of scale.
Some powerful AI models already have visual abilities, including GPT-4 from OpenAI, Claude from Anthropic, and Gemini from Google DeepMind. These models can be used to power some experimental AI agents, but they are hidden from view and accessible only via a paid application programming interface, or API.
Meta has released a family of AI models called Llama under a license that limits their commercial use, but it has yet to provide developers with a multimodal version. Meta is expected to announce several new products, perhaps including new Llama AI models, at its Connect event today.
“Having an open source, multimodal model means that any startup or researcher that has an idea can try to do it,” says Ofir Press, a postdoc at Princeton University who works on AI agents.
Press says that the fact that Molmo is open source means that developers will be more easily able to fine-tune their agents for specific tasks, such as working with spreadsheets, by providing additional training data. Models like GPT-4 can only be fine-tuned to a limited degree through their APIs, whereas a fully open model can be modified extensively. “When you have an open source model like this then you have many more options,” Press says.
Ai2 is releasing several sizes of Molmo today, including a 70-billion-parameter model and a 1-billion-parameter one that is small enough to run on a mobile device. A model’s parameter count refers to the number of units it contains for storing and manipulating data and roughly corresponds to its capabilities.
Ai2 says Molmo is as capable as considerably larger commercial models despite its relatively small size, because it was carefully trained on high-quality data. The new model is also fully open source in that, unlike Meta’s Llama, there are no restrictions on its use. Ai2 is also releasing the training data used to create the model, providing researchers with more details of its workings.
Releasing powerful models is not without risk. Such models can more easily be adapted for nefarious ends; we may someday, for example, see the emergence of malicious AI agents designed to automate the hacking of computer systems.
Farhadi of Ai2 argues that the efficiency and portability of Molmo will allow developers to build more powerful software agents that run natively on smartphones and other portable devices. “The billion parameter model is now performing in the level of or in the league of models that are at least 10 times bigger,” he says.
Building useful AI agents may depend on more than just more efficient multimodal models, however. A key challenge is making the models work more reliably. This may well require further breakthroughs in AI’s reasoning abilities—something that OpenAI has sought to tackle with its latest model o1, which demonstrates step-by-step reasoning skills. The next step may well be giving multimodal models such reasoning abilities.
For now, the release of Molmo means that AI agents are closer than ever—and could soon be useful even outside of the giants that rule the world of AI.
