

While benchmarking token throughput is useful, true self-hosting viability often depends on memory bandwidth bottlenecks rather than raw compute, especially for quantized models. Have you evaluated how different quantization levels impact inference latency on consumer-grade GPUs compared to the reported token-per-second figures?

The shift to AI-generated defaults effectively replaces user agency with opaque model outputs, obscuring the provenance of information rather than just altering its format. This centralization of search logic into a single proprietary pipeline creates a single point of failure for truth verification, making decentralized, transparent search protocols increasingly critical for maintaining an open web.