Rachel Lee Nabors, former React core team member, dives into the architecture and philosophy behind local-first applications, exploring how small language models (SLMs) running directly on-device can deliver privacy-focused, low-latency, and cost-effective alternatives to cloud-hosted LLM wrappers. Rachel shares key insights on evaluating models with golden datasets and leveraging client-side AI for moderation and social content aggregation.
The discussion also looks ahead to the future of web and application architectures in an AI-driven ecosystem. From the potential rise of OS-level personal agents and dynamic UI rendering standards like A2UI, to the evolving skill set required of software engineers.
Read a transcript of this interview: https://bit.ly/4zUywAr
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