Making AI Agents More Human with Matrix One
Making AI Human
As AI’s capabilities have grown, so too has the uncanny valley separating humans from more natural, authentic interactions with it.
Much of the AI and machine learning conversation is focused on compute and data sets, which makes AI agents exponentially smarter and better at what they do. But people still feel like they’re interacting with a basic website chatbot — a well-programmed answering machine that feels, well… mechanical.
Matrix One is working to change this dynamic of Human-AI interactions by decentralizing AI, giving developers and end users the power to design and customize AI agents and characters that feel more human than machine.
Making AI more interactive and human-like is crucial for mass adoption of AI agents, and we understand problems that need to be solved to unlock this growth.
What’s missing in today’s AI agents
Interacting with AI can often feel a bit… off. Some of this oddness has to do with AI the agents’ short memory, repetitive responses, and shallow expertise or grasp of material (they know a little about a lot of things).
Even more glaringly, the natural language processing within modern LLMs and AI agents isn’t so natural after all. Anyone who has heard the AI voices narrating YouTube and social media reels knows they sound quite monotone, lacking the various intonations and unique characteristics of human speech.
Today’s AI agents also lack empathic intelligence. That is, AI agents don’t understand human emotions, making them seem tone-deaf in interactions with humans. AI should be intuitive and able to interpret nuances similar to the way a friend, coworker, or partner would.
How Matrix One is making AI more human
Matrix One’s underlying technologies are already delivering human-like interactions with AI.
3D Avatar Visualizer
Our 3D Avatar Visualizer transforms your character into a dynamic, interactive avatar with options like HD video, 3D models (fully rigged), or Live2D. Customize appearances with your textures and styles, access unique designs via the marketplace, and integrate seamlessly with SDKs for Web, Unreal Engine 5, and Unity.
Longer, Scalable Memory
Our AI agents don’t just remember past conversations — they build upon them. Matrix One uses Retrieval-Augmented Generation (RAG) to create a memory bank that scales, helping the AI agent understand and relate to its user over time.
Enhanced Chats with LoRAs
We tailor AI agent responses using specific conversation datasets. This means our AI doesn’t just spit out generic answers — it crafts responses based on data that is real and relevant to the user.
Expanding AI Agent Knowledge Base
Our tech stack incorporates a variety of datasets so that we constantly expand the knowledge and capabilities of our AI agents. Whether it’s commentary on pop culture, an explanation of quantum mechanics, or sharing the latest memes, Matrix One’s AI agents can always add something to the conversation.
Voices with Personality
We use advanced neural AI voice technology to replicate the finer details of human voices. This enables sampling and custom voice generation with emotional intelligence. In other words, our AI agents don’t simply talk — they express. They can share in your joy, empathize with your bad day, and even crack a joke. (Think: the AI robot TARS in Interstellar.)
Bringing AI to Life
Matrix One’s multi-modal capabilities bring AI agents and characters to life with computer vision, text-to-speech, voice-to-text, image-to-text, and text-to-animation based on a range of different information inputs like voice, video, audio, and text. So, our AI agents don’t just listen and speak — they see, react, and engage in real-time.
Decentralizing AI: A crucial step for more human interactions
We’re not just here to build better AI. We’re here to change who benefits from it.
Today, most AI platforms serve their creators first and everyone else second. We think that’s backward.
At Matrix One, we’re flipping the script to make sure everyone — especially creators who make most of the content — gets a fair share of the pie. By decentralizing AI, we’re making sure that the people who help build and improve our AI agent characters are rewarded for their creativity and hard work.
We believe that content creators are the ones best positioned to create the most interesting characters, so we want to make a creator-centric ecosystem that is more equitable. Decentralized AI enables this. The value chain extends all the way from character creation, to LLM creation, to data contribution and compute contribution.
Matrix One is forming partnerships with the best in the business to deliver a superior experience in terms of cost and accessibility, thereby reducing the barrier to participate.
Build and experience more human AI
Making AI more human-like isn’t just about having nicer conversations that flow better. It’s about building trust and understanding, paving the way for AI to become a more integrated asset in our daily lives.
At Matrix One, we’re passionate about this mission, and we’re excited about what these advances mean for the future of AI agents and characters.
Want to learn more about the nuts and bolts of what Matrix One is doing, or maybe even get involved as a builder? Check out our documentation and join us on this exciting journey.
Interested in creating your own AI agent or character? Get started now at Avatar.One — the first AI character app built on the Matrix One protocol.
