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1000x slowdown is bad but not a complete deal breaker. Do you have a sense of what a reasonable achievable factor is? Do you have sense for how long before we get to that achievable factor?

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It's a ridiculous waste of energy, just use local compute.

Good point, but if we can advance research on this via the AI bubble, it could improve privacy in other areas.

Local compute is preferable where possible. There are cases where computation needs to be performed remotely. For example, when collecting data from remote entities while preserving privacy by allowing each entity to retain ownership of the encryption keys used to protect its data. At Belfort, we are exploring such applications, such as

- https://belfortlabs.com/blog/belfort-partners-with-lg-on-enc... - https://belfortlabs.com/blog/encrypted-fraud-detection-with-...

For me it is the simplest reasons of all: privacy / confidentiality. There is absolutely no way any of this data leaves my systems.

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