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ramoz
searching PlanetScale…
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211.
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by
ramoz
8mo ago
Yes, it is different. An AI actions and reasons through probabilistic methods - creating a lot more risk than a human with memory, emotions, and rationale thinking. We can’t trust AI to do any sensitive work because they consistently f up.
212.
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by
ramoz
8mo ago
I haven't cared too much about repo tokens in a good while. But my coolest app was a better context creator. I found it hard to extend to actual agentic coding use. Agentic discovery is generally useful and reliable - the overhead of
213.
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by
ramoz
8mo ago
I mean, it's an act of power to restrict funding (which is why I didn't call it a ban)
214.
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by
ramoz
8mo ago
AI does have positive contributions to society after all.
215.
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by
ramoz
8mo ago
I struggle with the federal government's power over all this. Let the states and local jurisdictions decide. Put in guardrails so that those local jurisdictions don't become corrupted, but at the same time we should empower people
216.
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by
ramoz
8mo ago
All completely rationale. Makes the us military here look fairly incompetent… embarrassing as a veteran.
217.
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Plannotator - review ui for plan mode
(github.com)
3 points
by
ramoz
8mo ago
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0 comments
218.
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by
ramoz
8mo ago
Stronger or novel planning capabilities, and interfaces. Same for verification and review capabilities (not being blind to everything, adding in assurance checkpoints where it makes sense), and automating the inbetween (e.g. hooks for deter
219.
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by
ramoz
8mo ago
Im not a fan of the payment use case & agree with your take, just a fan of the cryptographically verifiable mandate used throughout the process.
220.
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by
ramoz
8mo ago
Just an example. I personally have it running on a local Mac Mini (obviously aware that this isnt a perfect security measure, but I couldnt install on my laptop which has sensitive work access).
221.
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by
ramoz
8mo ago
I'm not too sure what you're asking, but that last part, I think, is very key to the eventual delegation. Where we can verify the lineage of the user's intent originally captured and validated throughout the execution process
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by
ramoz
8mo ago
Yea just an example. I personally have it running on a local Mac Mini (obviously aware that this isnt a perfect security measure, but I couldnt install on my laptop which has sensitive work access).
223.
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by
ramoz
8mo ago
Meta: https://x.com/summeryue0/status/2025774069124399363 context: meta alignment lead made rookie mistakes (their words) in instructing openclaw and lost their inbox to it. Goog: https://deadline.com&#
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by
ramoz
8mo ago
Information flow control is a solid mindset but operationally complex and doesn’t actually safeguard you from the main problem. Put an openclaw like thing in your environment, and it’ll paperclip your business-critical database without any
225.
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by
ramoz
8mo ago
I’ve said similar in another thread[1]: Sandboxes will be left in 2026. We don't need to reinvent isolated environments; not even the main issue with OpenClaw - literally go deploy it in a VM* on any cloud and you've achieved all
226.
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by
ramoz
8mo ago
In the same spirit, I also ported a planning UI extension for Pi. https://plannotator.ai/blog/plannotator-meets-pi/
227.
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by
ramoz
8mo ago
See my comment in the thread but there is an intuitive extension architecture that makes integrating these type of things feel native. https://github.com/badlogic/pi-mono/tree/main/packages/codin...
228.
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by
ramoz
8mo ago
The way you’re able to extend the harness through extension/hook architecture is really cool. Eg some form of comprehensive planning/spec workflow is best modeled as an extension vs natively built in. And the extension still ends
229.
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by
ramoz
8mo ago
my dog had something to say about this: woof woof, woof woof woof, woof woof, woof, woof woof woof
230.
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Show HN: Security Checklist for OpenClaw Deployments
(get-to-know-openclaw-security-model.vercel.app)
3 points
by
ramoz
8mo ago
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0 comments
231.
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Get to Know OpenClaw Security
(get-to-know-openclaw-security-model.vercel.app)
4 points
by
ramoz
8mo ago
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0 comments
232.
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Steer Agents with Socrates and Meeseeks
(backnotprop.com)
2 points
by
ramoz
8mo ago
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0 comments
233.
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Version History for Claude Code's Plan Mode
(youtube.com)
1 points
by
ramoz
8mo ago
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1 comments
234.
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by
ramoz
8mo ago
This all works through hooks. When Claude revises your plan based on feedback, you shouldn't have to reread the entire thing to figure out what changed. Plannotator's Plan Diff surfaces exactly what's different via a traditio
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Plan Diffs for Coding Agents
(plannotator.ai)
4 points
by
ramoz
8mo ago
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1 comments
236.
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by
ramoz
8mo ago
This all works via hooks for Claude Code, OpenCode, and PI. When the coding agent revises a plan after your feedback (i.e. annotations), you no longer have to reread the whole thing to guess out what changed in the plan. Plannotator's
237.
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by
ramoz
8mo ago
example: https://github.com/backnotprop/plannotator
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by
ramoz
8mo ago
With hooks you can achieve a similar UI that can do what antigravity does just as much & better. Search "claude code plan annotations plugin" and youll come across some.
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by
ramoz
8mo ago
Claw derives from a spinoff of “Claude” from “Clawdbot”
240.
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by
ramoz
8mo ago
The whole process feels Socratic which is why I and a lot of other folks use plan annotation tools already. In my workflow I had a great desire to tell the agent what I didn’t like about the plan vs just fix it myself - because I wanted the
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