Sergey Diakov
⬤ Comet Assistant will "slowly but surely" shift a growing portion of its compute to fast, lightweight AI models, with some possibly running locally. This marks a strategic change in how the platform powers its AI assistant as usage grows.
⬤ The assistant provides "answers on every tab," letting users dig deeper into articles, videos, and websites without switching contexts. This design puts speed and responsiveness front and center for seamless in-browser AI help.
⬤ Lightweight models improve performance efficiency, cut latency, and reduce infrastructure costs. While larger models handle complex reasoning, smaller ones manage everyday contextual tasks more effectively. Local processing means some AI work could happen directly on your device instead of relying entirely on cloud servers.
⬤ This shift reflects a broader industry trend toward hybrid AI architectures that balance power with efficiency. By using lightweight models for routine tasks, platforms like Comet deliver faster responses while staying scalable. The move shows how AI tools are evolving from cloud-only systems into flexible solutions that prioritize user experience, speed, and cost-effectiveness across daily browsing and content workflows.
Sergey Diakov
