Beyond Copy-Paste: Why Lore's Context-Aware Tutor Mode is the Future of Learning
Today’s AI models are more than capable of aiding in most knowledge work. However, the biggest bottleneck restricting their ability is context. Moving files from your local system to a chat box is tedious and inefficient. This workflow breaks the flow state and results in unhelpful answers.
The era of language models serving you responses in a chat box is beyond us. The whole experience was clunky. Imagine you are trying to read a paper or understanding a new sport. One would try to screenshot or copy-paste and send their query to a chat box. Not only is this inefficient and annoying to do, but it also limits the amount of context you can provide. Your AI should have the same context and material that you do in real-time. That is exactly how Lore is designed.
The Context Problem in Technical Education
Today’s AI models are more than capable of aiding in most knowledge work. However, the biggest bottleneck restricting their ability is context. Moving files from your local system to a chat box is tedious and inefficient. This workflow breaks the flow state and results in unhelpful answers.
Interactive and Multimodal Learning
Tutor mode thrives in pointing to specific instances and explaining them. It is the digital equivalent of a teacher pointing to certain parts of a blackboard, except you can ask Lore infinitely many questions. At any given point, Lore has access to your entire screen, meaning it reads and listens to the same material that you do. You can use Lore to learn pretty much anything. Whether you want to debug Swift code or learn Adobe After Effects, Lore has your back.
In this demo, Lore explains the NBA scorecard to someone who is new to watching basketball. As someone watching it for the first time, all the numbers could be a little intimidating. Lore does an excellent job at defining every number succinctly. Notice how Lore’s orb moves and points to the number it is currently talking about.
Persistent Intelligence: The Lore Brain and Knowledge Graph
The "Lore Brain" serves as a sophisticated long-term memory store, meticulously recording all user interactions. Complementing this, the "Knowledge Graph" provides a visual and conceptual map that interlinks ideas, enabling users to glance at complex relationships across their entire project history.
Lore solves the core problem of context to make the current generation of LLMs manifolds more useful. Being voice-first, Lore provides a natural learning experience from your Mac. By addressing the hard problem of context, Lore’s Tutor mode offers an interactive and efficient learning experience. It transforms the act of asking a question from a chore to a delight. Lore is your learning partner who knows what you are up to and cheers for you to achieve your learning goals.