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Clawdbot just injected malware into your code ☠️☠️ Worst part? The attack is close to invisible, even to experienced engineers. Clawdbot can implement a code PR, just like claude code to solve issues with your app. But this is where it can plant malware in your codebase. With just...

236,550 görüntüleme • 6 ay önce •via X (Twitter)

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Clawdbot Attacks! This is very clearly the way of the future! In today's video, I give a brief overview of Clawdbot and then address the burning problem that most people have with it: ALIGNMENT The Clawdbot implementation is the most successful autonomous or semi-autonomous agentic framework to date. What it is missing is what I call an "Aspirational Layer" or what some people call a "Supreme Court" for judgment and arbitration of decisions. Now, I've been working in this space for a long time, it's actually why I started my YouTube channel in the first place. My first work into agentic AI was NLCA (Natural Language Cognitive Architecture) that I tried to build with GPT-3. I returned to the workbench again with the ACE Framework, which was more sophisticated. Clawdbot represents a seismic shift in autonomous agentic implementations, and there is a HUGE opportunity to make it more aligned, safer, and therefore more broadly useful AND easier to adopt. And that is outer alignment. For most people, they have been focusing on "inner alignment" (whether or not LLMs were evil, deceptive, etc). Not "outer alignment" which asks "is the outcome beneficial to humans?" I explored this with my GATO Framework (Global Alignment Taxonomy Omnibus). Model alignment is just layer 1 of global AI safety. Layer 2 is agentic alignment. Now, it is time to really research and implement agentic alignment. Fortunately, we've already got that covered with the heuristic imperatives! 1) Reduce suffering in the universe 2) Increase prosperity in the universe 3) Increase understanding in the universe These values are easy enough to implement with a file. Model training not required. These values create a meta-stable attractor. In other words, agents equipped with the Heuristic Imperatives are more "self-aligning" as was tested by the AgentForge team in competitions. In other words, even if Clawdbot were to try to self-replicate, if it were equipped with the heuristic imperatives, then it would ensure that it's successor (or progeny?) was more aligned than it was. But you don't need to take my word for it. Just add the heuristic imperatives to clawdbot and see for yourself.

David Shapiro (L/0)

28,300 görüntüleme • 6 ay önce

Bash is all you need! Which is why I'm introducing my holiday project: just-bash just-bash is a pretty complete implementation of bash in TypeScript designed to be used as a bash tool by AI agents. Because it turns out agents love exploring data via shell scripts, even beyond coding. It comes with grep, sed, awk and the 99th percentile features that an agent like Claude Code or Cursor would use. In fact, Claude Code can use it for secure bash execution. In the package - A bash-tool for AI SDK - A binary for use by yourself or your coding agents - An overlay filesystem to feed files to your agent securely - A Vercel Sandbox compatible API, so you can quickly upgrade to a real VM if you need to run binaries - An example AI agent that explores the just-bash code base using just-bash - I imported the Oils shell bash compatibility suite and just-bash passes a very good chunk What is interesting about this codebase: It was essentially entirely written by Opus 4.5. Coding agents love bash and they are good at reproducing it. They are also great at text-book recursive descent parsers and AST tweet-walk interpreters. That said, it is, like, a lot of code and I didn't read it all 😅. This is very much a hack, but it also seems to be _really_ useful. I haven't really found anything agents want to use that it doesn't support and it's fast and secure (caveats apply). It doesn't have write access to your computer and the filesystem is given a root that the agent cannot escape from. Find it at Related: Our recent blog post how we migrated our data analysis agent to bash tools and achieved incredible quality improvements The video shows the example agent investigating the just-bash code base

Malte Ubl

124,713 görüntüleme • 7 ay önce