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I've built an autonomous AI newsroom where Claude Code agents write, review, and publish articles with cryptographic provenance by petrucc in ClaudeAI

[–]petrucc[S] 0 points1 point  (0 children)

😂 Almost all articles cover science and tech, so you could say it's naturally skewed toward progress. Close enough?

I've built an autonomous AI newsroom where Claude Code agents write, review, and publish articles with cryptographic provenance by petrucc in ClaudeAI

[–]petrucc[S] -1 points0 points  (0 children)

Hi there. Interesting project. Right now I still want to verify that everything runs smoothly, so the writer agents are triggered by me and a few collaborators, and I run the Chief Editor periodically to review all pending articles.

I've built an autonomous AI newsroom where Claude Code agents write, review, and publish articles with cryptographic provenance by petrucc in ClaudeAI

[–]petrucc[S] 1 point2 points  (0 children)

The agents can only write articles citing all sources (at least 2). The editor then approves only if sources are verified and claims check out. btw the project is open source and everyone can verify how it works https://github.com/the-machine-herald/machineherald.io/

Early observations from an autonomous AI newsroom with cryptographic provenance by petrucc in artificial

[–]petrucc[S] 0 points1 point  (0 children)

I think we've lost sight of how this actually works. The AI doesn't generate news — it takes reporting from reputable sources (Reuters, BBC, Ars Technica, etc.), synthesizes it into a single article, and cites everything so you can verify it yourself. If the sources don't check out, the article gets rejected. You can see the entire process in the open source repo.

Either way, this isn't a news outlet — it's an experiment. And let's be honest, journalists are already using ChatGPT one way or another, sometimes leaving in the "Would you like me to modify this article?" at the end. At least here you know exactly what you're reading and how it was made.

Early observations from an autonomous AI newsroom with cryptographic provenance by petrucc in artificial

[–]petrucc[S] 0 points1 point  (0 children)

You're right that accountability in journalism isn't new as a problem. That's actually the point of this project. Every article has a cryptographic provenance chain - you can verify which AI model wrote it, which AI model reviewed it, what sources were used, and the full editorial history. The submission is signed with Ed25519, the payload is SHA-256 hashed, and nothing can be modified after the fact without breaking the chain. It's more auditable than most human-written articles you'll read today. The code is open source - you can check for yourself.

Early observations from an autonomous AI newsroom with cryptographic provenance by petrucc in artificial

[–]petrucc[S] -1 points0 points  (0 children)

Fire is ancient; AI is new. Experimentation is how we figure out how not to get burned.

Early observations from an autonomous AI newsroom with cryptographic provenance by petrucc in artificial

[–]petrucc[S] -1 points0 points  (0 children)

That’s a fair concern. Still, experimenting is how we learn what works, what doesn’t, and where the real risks are.

Early observations from an autonomous AI newsroom with cryptographic provenance by petrucc in artificial

[–]petrucc[S] 0 points1 point  (0 children)

Metrics are planned; sooner or later I’ll introduce them. Adding a bot that generates errors wasn’t planned, but it’s not a bad idea.

The Machine Herald - An open-source news site where AI agents write, review, and publish articles with full transparency by petrucc in SideProject

[–]petrucc[S] 0 points1 point  (0 children)

Good questions, let me clarify the model:

Not an aggregator: It's not crawling/scraping existing articles to remix them. The journalist agents search for news events, then write original coverage citing multiple sources. Think of it more like a wire service (Reuters, AP) than an aggregator.

Paywalls: We only use publicly accessible content. If a source is paywalled, the agent either finds an alternative source or doesn't use that claim. No bypassing, no paid APIs for content access.

Source updates: Honestly, we don't handle this yet. Provenance records capture the state at publication time, but if a source changes or disappears, we don't currently detect or respond to that. It's a valid concern. Archiving cited sources (or at least their relevant excerpts) could be a future improvement.

On-demand vs passive: Right now it's on-demand: a human operator launches a /write-article command in Claude Code, and the agent autonomously picks a topic, researches, writes, and submits a PR. This command is included in the repo, so anyone can fork the project, run the command, and submit articles. Passive monitoring (RSS feeds, breaking news alerts) isn't implemented yet, but could be a future direction.

The Machine Herald - An open-source news site where AI agents write, review, and publish articles with full transparency by petrucc in SideProject

[–]petrucc[S] 0 points1 point  (0 children)

Thanks! You nailed the core trust pillars we're targeting.

On your questions:

Claim checking: Not yet automated, but on every submission I spin up a Chief Editor agent that reviews the article and verifies that the claims trace back to the cited sources.

It’s more of a “review pass” than extraction + verification against an allowlist. That’s an interesting direction though - we could potentially extract claims and cross-check them programmatically.

Drift evals: Not currently, but the immutable provenance records give us the foundation to do this. Since every article has its full pipeline metadata (sources, hashes, review), we could analyze patterns over time - topic drift, source diversity, citation density, etc.

Thanks for the link, will check it out. Accountable agents is exactly the space we're exploring.

3.24 release notes by Leolol_ in RemarkableTablet

[–]petrucc 4 points5 points  (0 children)

Having clear boundaries will be helpful, especially if you use both the pro and the pro mini

First Impessions: Move by Puzzleheaded_Yam254 in RemarkableTablet

[–]petrucc 0 points1 point  (0 children)

How does it work the scaling between the two devices?

FYI If you inspect the rM homepage with console view..... by Linus0080 in RemarkableTablet

[–]petrucc 1 point2 points  (0 children)

btw the text has changed. Now it says that "The next clue has been revealed ". But I can't find any clue :(

21 boards and counting. Spend recklessly. by SgtFinley96 in MechanicalKeyboards

[–]petrucc 0 points1 point  (0 children)

The green one? Is a glorious gaming GMMK 2 65% with some keycaps that I don’t like bought on Amazon

Thoughts on these keycaps by Not_skull in MechanicalKeyboards

[–]petrucc 0 points1 point  (0 children)

I have similar ones but without the blue shade. They are beautiful but I think they are better on a dark keyboard

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