jmort

Joined 11 years ago

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22
Submissions
22
Member since
Nov 3
long time lurker, first time poster.

jonathanmortensen.com

[ my public key: https://keybase.io/mortensen; my proof: https://keybase.io/mortensen/sigs/-v0YUR1bnpKAl9D-5t4SEbDA8xz40GIM_P7aWXlp2fw ]

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Recent submissions

Comment · 11 months ago
No options?
Comment · 1 year ago
OpenPCC is Apache 2.0 without a CLA to prevent rugpulls whereas edgeless is BSL
Comment · 1 year ago
I haven’t been able to find their source code. Pretty important for the transparency side of it. Have you seen it?
Comment · 1 year ago
It should be able to support connecting via an OpenPCC client, then!
Comment · 1 year ago
It does work generically. Like Apple, we initially targeted inference, but it under the hood just an anonymous, attested HTTP server wrapper. The ComputeNode can run an arbitrary workload.
Comment · 1 year ago
Yep, you could run an anonymization workload inside the OpenPCC compute node. We target inference as the "workload" but it's really just attested HTTP server where you can't see inside. So, in this case your client (the wearable) would send its data first through OpenPCC to a server that runs some anonymization process.

If it's possible to anonymize on the wearable, that would be simpler.

The challenge is what does the anonymizer "do" to be perfect?

As an aside, IMO homomorphic encryption (still) isn't ready...

Comment · 1 year ago
I think a technical solution is necessary, rather than a legal/regulatory one
Comment · 1 year ago
Comment · 1 year ago
I don't see a privacy policy and their desktop app is closed source. So, not encouraging.

[full disclosure I am working on something with actual privacy guarantees for LLM calls that does use a transparency log, etc.]

Comment · 1 year ago
Comment · 3 years ago
Comment · 3 years ago
Can’t tell much from the docs — How does this compare to fly.io?
Comment · 5 years ago

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