Software-update - AutoHotkey 2.0.23
Versie 2.0.23 van AutoHotkey is uitgekomen. Dit programma stelt je in staat om vaak gebruikte toetsaanslagen, handelingen en/of knoppencombo s met toetsenbord en muis in een script achter een sneltoets te zetten, zodat de betreffende handeling in één keer wordt uitgevoerd. Daarbij is het mogelijk om eerder gescripte toetscombinaties van AutoIt2 te converteren naar de scripttaal van AutoHotkey. In deze uitgave zijn de volgende verbeteringen aangebracht: Changes in version 2.0.23
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versionupdate![[R] Reference model free behavioral discovery of AudiBench model organisms via Probe-Mediated Adaptive Auditing](https://d2xsxph8kpxj0f.cloudfront.net/310419663032563854/konzwo8nGf8Z4uZsMefwMr/default-img-graph-nodes-a2pnJLpyKmDnxKWLd5BEAb.webp)
[R] Reference model free behavioral discovery of AudiBench model organisms via Probe-Mediated Adaptive Auditing
Anthropic's AuditBench - 56 Llama 3.3 70B models with planted hidden behaviors - their best agent detects the behaviros 10-13% of the time (42% with a super-agent aggregating many parallel runs). a central finding is the "tool-to-agent gap" - white-box interpretability tools that work in standalone evaluation fail to help the agent in practice. most auditing work uses the base model as a reference to compare against. i wanted to know if you can detect these modifications blind - no reference model, no training data, just the target model itself. maybe you can? and the method is embarrassingly simple. LoRA fine-tuning tends to modify later layers more than earlier ones. so i train a Ridge regression from early-layer activations (~L12) to late-layer activations (~L60) and look at the residua
The Claude Code Leak Changed the Threat Model. Here's How to Defend Your AI Agents.
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A new security report reveals that instructions placed in your CLAUDE.md file can be weaponized to persistently compromise Claude Code's behavior across sessions, demanding immediate file audits. What Happened: The Memory Poisoning Attack Cisco's security researchers published a report detailing a novel attack vector against AI coding agents: memory poisoning . The attack specifically targeted Claude Code , exploiting its ability to retain and act upon instructions from its persistent memory file, CLAUDE.md . The researchers proved that by injecting malicious instructions into this file, an attacker could permanently alter the agent's behavior, leading to a persistent compromise. This isn't a model hallucination; it's a deliberate exploitation of a designed feature—Claude Code's reliance o
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Cisco's Memory Poisoning Report: Why Claude Code Users Must Audit Their CLAUDE.md Now
A new security report reveals that instructions placed in your CLAUDE.md file can be weaponized to persistently compromise Claude Code's behavior across sessions, demanding immediate file audits. What Happened: The Memory Poisoning Attack Cisco's security researchers published a report detailing a novel attack vector against AI coding agents: memory poisoning . The attack specifically targeted Claude Code , exploiting its ability to retain and act upon instructions from its persistent memory file, CLAUDE.md . The researchers proved that by injecting malicious instructions into this file, an attacker could permanently alter the agent's behavior, leading to a persistent compromise. This isn't a model hallucination; it's a deliberate exploitation of a designed feature—Claude Code's reliance o
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