NEAR DevHub

@NEARDevHub

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neardevhub.org

Joined November 2022

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NEAR DevHub
@NEARDevHub
Aug 26
Want to learn how to build with private AI? It's easy to get started so we built a bank statement analyzer on NEAR AI cloud and recorded the whole thing. Upload a statement, model processes it inside a TEE, get back categorized transactions plus a proof panel. Whole run cost
NEAR DevHub
@NEARDevHub
Aug 21
Every AI app says it protects your data. Here's what that looks like in actual code. Four lanes, ranked by privacy. An audit record written before the route commits, not after. A ratchet so a conversation can move to a more private lane but never back. Plus the log chain
Privacy by Design: Every AI App Says It Protects Your Data. Here's the Code
From youtube.com
NEAR DevHub
@NEARDevHub
Aug 18
We've been making videos about private inference and TEEs. Here's someone who actually shipped it. teemoon is an iOS chat app with no teemoon server. Your phone talks straight to whichever model you pick.
teemoon.ai
teemoon — private AI chat
private AI chat for iPhone. the model runs on your phone, a machine you own, or a key you bring. no account, no teemoon server.
NEAR DevHub
@NEARDevHub
Aug 18
In case you missed them, three videos on the same problem from different angles: how do you build an AI product without handing your users' data to whoever runs the model. Read in this order they build on each other. 1. Trusted Execution Environments, explained We encrypt data
NEAR DevHub
@NEARDevHub
Aug 17
Private inference has a reputation for being a migration. It isn't. NEAR AI's cloud API matches OpenAI's setup, so moving over is a base URL change. Your requests go down a private lane to a model sealed inside a trusted execution environment, and you can pull an attestation
Switch From OpenAI to Private Inference in One Line
From youtube.com