OpenLedger (@OpenledgerHQ)

Are you absolutely sure you are running a AI that you can trust?

AI workloads increasingly process proprietary models, private datasets, and sensitive user inputs.

Remote Attestation introduces a cryptographic verification process for confidential AI workloads and helps to establish whether these workloads are executing inside an expected Trusted Execution Environment.

OpenLedger @OpenledgerHQ 2d

AI shouldn’t mean giving up your privacy.

Every prompt, query and interaction contains data. But does accessing AI mean exposing that data?

Confidential inference, data privacy and user-controlled interactions need to become foundational parts of AI infrastructure.

OpenLedger @OpenledgerHQ 3d

AI can now autonomously discover and patch security vulnerabilities at scale.

As AI advances in exploit discovery, protecting sensitive data and execution environments becomes critical.

Encryption secures data, TEEs isolate execution, and zero retention minimizes exposure.

Security and privacy must be built into AI infrastructure, not added as an afterthought.

OpenLedger @OpenledgerHQ 5d

. @karpathy nailed the problem: feeds optimize for engagement, not quality. In crypto it's worse. Shilling isn't a bug here, it's a business model.

So our team built Web3Tube → web3tube.openledger.xyz

We went to the places crypto builders can't fake: research forums, governance threads, 31 communities in all.

Videos are ranked only by who vouches for them unprompted. Self-promotion barely counts, sponsored language gets penalized, and every recommendation is shown with its source. ~1,700 videos earned their place.

Built from what builders in the @ethereumfndn, @solana, and @arbitrum communities (among 31 in total) keep recommending to each other.

web3tube.openledger.xyz Web3Tube The crypto videos builders and researchers keep recommending, with the evidence for each one.

Andrej Karpathy Verified account @karpathy Nov 1

Weekend hack: HackerTube. I was annoyed with YouTube's recommendations so I had Claude filter down 43M comments over 20 years of HN to 6,454 videos that keep being recommended. *Significantly* better viewing experience, ~2 hours with Opus 5.5:
hackertube.org

- Excellent recs without any logins (state is kept in local browser session)
- Thumbnail is a representative frame from middle of the video instead of the super duper A/B test hyper-optimized user uploads
- Underlying data from the comment analysis as one zip file, point your Claude at it and ask for your own version
- HackerTube Longs ✊

A bit more on the process:
I use Claude Code (desktop app for Mac), Opus 5.5 on Medium effort as my default. I only talk to Claude and have it do everything, the only "manual work" I helped with in tandem was in the browser (reminiscent of MenuGen): 1) I had to create some kind of API key from Google Cloud UI to query YouTube for video metadata, 2) I booted up a VPS box for serving and 3) I bought the domain name. Once the box was up I gave Claude the IP and told it update, secure, harden, deploy and optimize the code, and it did the whole thing.

Many awesome projects that would have normally taken weeks/months even can now be few-shotted for breakfast. What else are we not thinking of.

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OpenLedger @OpenledgerHQ Oct 31

Octo is on a mission this Halloween:

No creepy data leaks, no AI oversharing, just privacy doing its thing.
OpenLedger's spooky season is officially here. 🎃

Happy Halloween Y'all!

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OpenLedger

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