Adept
Adept is an ML research and product lab building general intelligence by enabling humans and computers to work together creatively.
A new way to use computers We’re building a machine learning model that can interact with everything on your computer. Our vision An AI teammate for everyone. Adept is building an entirely new way to get things done. It takes your goals, in plain language, and turns them into actions on the software you use every day. Introducing our model ACT-1 ACT-1: Transformer for Actions September 14, 2022 — Adept Team AI has moved at an incredible pace in the last few years. Scaling up Transformers has led to remarkable capabilities in language (e.g., GPT-3, PaLM, Chinchilla), code (e.g., Codex, AlphaCode), and image generation (e.g., DALL-E, Imagen). At Adept, we are building the next frontier of models that can take actions in the digital world—that’s why we’re excited to introduce our first large model, Action Transformer (ACT-1). Why are we so excited about this? First, we believe the clearest framing of general intelligence is a system that can do anything a human can do in front of a computer. A foundation model for actions, trained to use every software tool, API, and webapp that exists, is a practical path to this ambitious goal, and ACT-1 is our first step in this direction. Second, the next era of computing will be defined by natural language interfaces that allow us to tell our computers what we want directly, rather than doing it by hand. We hope these snippets of ACT-1 will give you a window into the next frontier of computing as we see it! Sign up here to join the waitlist for the upcoming alpha release of our first product built around ACT-1. Capability preview ACT-1 is a large-scale Transformer trained to use digital tools — among other things, we recently taught it how to use a web browser. Right now, it’s hooked up to a Chrome extension which allows ACT-1 to observe what’s happening in the browser and take certain actions, like clicking, typing, and scrolling, etc. The observation is a custom “rendering” of the browser viewport that’s meant to generalize across websites, and the action space is the UI elements available on the page. There’s a lot of room to make it faster, both on the modeling side and on the software side - so we expect future systems will have latency that’s largely imperceptible to humans. These videos have been sped up to make them easier for you to view. An upcoming technical post will go into much more detail on all of these topics. Here are some cool things ACT-1 can do! ACT-1 can take a high-level user request and execute it. The user simply types a command into the text box and ACT-1 does the rest. In this example, this requires repeatedly taking actions and observations over a long time horizon to fulfill a single goal. Designed and trained specifically for taking actions on computers in response to your natural language commands. ACT-1 is our first step towards a foundation model that can use every software tool, API and website that exists. Collaborate and create Your hands on the wheel. We believe that AI systems should be built with users at the center — where machines work together with people in the driver's seat: discovering new solutions, enabling more informed decisions, and giving us more time for the work we love. Headquarters San Francisco, CA US
About Adept
Adept is a company focused on building an AI teammate for everyone, which they believe is the future of computing. The San Francisco-based company is building a machine learning model that can interact with everything on your computer, and they're introducing their first large model, Action Transformer (ACT-1), to achieve this goal.
ACT-1 is a large-scale transformer trained to use digital tools and is designed and trained specifically for taking actions on computers in response to natural language commands. It is the first step towards a foundation model that can use every software tool, API, and website that exists. With ACT-1, Adept aims to create an entirely new way to get things done, taking users' goals, in plain language, and turning them into actions on the software they use every day.
The company's vision is to create an AI teammate for everyone, enabling more informed decisions, discovering new solutions, and giving more time for the work people love. They believe that AI systems should be built with users at the center, where machines work together with people in the driver's seat.
ACT-1 can take a high-level user request and execute it, using a custom "rendering" of the browser viewport that's meant to generalize across websites. The action space is the UI elements available on the page, and ACT-1 can observe what's happening in the browser and take certain actions like clicking, typing, and scrolling. In addition to these capabilities, Adept expects to improve ACT-1's speed on the modeling and software side, making it faster with latency that's largely imperceptible to humans.
Adept's target market is individuals and businesses looking for a new and innovative way to interact with their computers. The company's focus on natural language interfaces that allow users to tell their computers what they want directly is a potential game-changer in the computing industry.
In conclusion, Adept is a San Francisco-based company building an AI teammate for everyone, focused on creating an entirely new way to get things done. They're introducing their first large model, ACT-1, which is designed to take actions on computers in response to natural language commands, and is the first step towards creating a foundation model that can use every software tool, API, and website that exists. Adept's vision is to create AI systems built with users at the center, where machines work together with people to discover new solutions, make more informed decisions, and give more time for the work they love.
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