A Generalist Agent vs AI Awesome

Gato is the generalist agent DeepMind introduced in its May 2022 research post "A Generalist Agent." One transformer policy with shared weights handles chat, image captioning, Atari games, and real robot arm block stacking from the same model. The post describes it as a multi-modal, multi-task, multi-embodiment policy that picks whether to emit text, joint torques, button presses, or other tokens based on context.

Most tools in this space train a separate model per task domain. Gato instead serializes every modality and environment into a flat token sequence and runs it through a transformer shaped like a large language model. That means one pretrained checkpoint moves between dialogue, vision, and control without swapping architectures.

During training, data from simulated and real environments mixes with natural language and image datasets, with loss masked so Gato predicts only action and text targets. At deployment, a prompt tokenizes first, each new observation appends to the sequence, and the model samples an action vector one token at a time inside a 1024-token context window. The blog includes domain-grouped charts of tasks where the pretrained model clears expert score thresholds.

The writeup targets AI and robotics researchers more than everyday software buyers. You read and cite the research on deepmind.google; there is no public signup flow, API tier, or download button on the pages reviewed here.

AI Awesome is an all-in-one hub for discovering AI tools, jobs, and builder projects. The directory lists 1,570 products across categories like chatbots, copywriting, photo editing, and no-code, with new tools added daily. You can browse top and newest listings, search by category, and follow a newsletter that promises AI news in three minutes or less.

Most AI directories only catalog tools. AI Awesome also runs an AI jobs board with engineering, marketing, and LLM filters, plus HustleGPT project submissions and sponsor slots for builders who want reach. That mix turns a discovery site into a small community hub rather than a static list.

Startup founders hunting tools, indie builders comparing launches, and job seekers looking for AI roles use AI Awesome to scan what's new without jumping between separate job boards and directories. Product submissions go through a Typeform, and sponsors can advertise to the newsletter audience followed by teams at OpenAI, Google, a16z, Microsoft, and Sequoia.