How Hackers Use AI Today—And How To Stay Safe
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SAFETY
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How Hackers Use AI Today and Stay Safe
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City Safety Improvements: Fewer Broken Windows Observed
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Haven’t seen a broken car window all year. Noticeably better in many many ways.
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Learning Error Recovery Without Creating Errors in Testing
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That’s almost separate… You certainly want to learn recoveries in the event of errors at test time. You just don’t want to also learn to actively create errors.
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Process Supervision and Error Recovery in RL Training
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Fair but it’s still actively learning to make those errors (just so it can recover from them later), which imo is still a bit weird. In an ideal world you wouldn’t, possibly process supervision is one way to get there even within RL framework. Def agree on “recovery learning”.
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Open-weight PyTorch models security and trustworthiness discussion
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If we are talking about the model itself and not the app, these are open-weight PyTorch models. So unless there’s a backdoor in Hugging Face or the PyTorch runtime, there’s really no way for them to be malicious afaik.
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Designing and Defending Effective, Reliable, Secure AI Agents
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Oct 29, 11 AM ET – Join @CohenShuki (
@AI21Labs ) and @BarelTayouri (
http://
Mend.io) to explore how to design and defend effective, reliable, and secure AI agents. Register: https://
webinars.techstronglearning.com/designing-and-
defending-ai-agents-a-practical-guide?utm_campaign=23146601-2025.10.29-Mend.io-SB&utm_source=mend&utm_medium=mend-website
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Balancing AI Tool Safety with Practical Usefulness via MCP
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Re: lethal trifecta, I think the best way there is to curate tools where you trust both the author and the potential space of responses. (we do that via MCP gateway implementations) 100% protecting against the lethal trifecta often puts too many limits and reduces the usefulness
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Security Safeguards for AI Systems Like Locks
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I do agree that it's not a 100% fool-proof solution, but I feel like we should at least have some safe-guards: the analogy I'd use is that many locks can be picked (with enough effort/time), but that doesn't mean we should stop using locks completely.
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Scaling AI Without Purpose: A Critique of Growth
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Scaling just for the sake of it even if it produces nothing useful? Heh.
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AI Cannot Truly Understand Human Feelings: Trust Implications
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Why AI Will Never Truly Understand Your Feelings — And Why That Matters Empathy, nuance, and emotional intelligence remain deeply human traits. This article explores why AI can mimic emotion but can’t genuinely feel—and the implications for trust. Read more