Alignment & Safety · Methodology
With autonomous AI agents in production, enterprises are turning to open-source adversarial testing tools, continuous red teaming frameworks, and new certifications to uncover failures that static evaluations miss.
While standard evaluations reassure companies, deployed models are revealing a widening safety benchmark gap, with multi-turn adversarial attacks and agentic safety failures piling up faster than policy can respond.
Alignment · Interpretability
Dario Amodei's candid admission of AI's black box problem has sparked a surge in venture funding, interpretability tools, and fellowship programs, signaling that mechanistic interpretability is moving from academic conferences into real-world deployment.
AI Security · Methodology
As exploit windows shrink, agentic AI introduces attack surfaces that static benchmarks miss, and new tools like vibe AI red teaming promise human-steered dynamic testing even as the fundamental question of what any evaluation proves remains unanswered.
Alignment · Security
Automated tools, agentic testing, and the Mythos wake-up call are reshaping AI security assessments, yet the gap between what evaluations detect and what adversaries actually exploit remains far wider than vendor marketing suggests.
Alignment & Safety · Red-Teaming
As exploit windows collapse to single-digit hours and agentic AI multiplies the attack surface, the manual red-teaming playbook is giving way to a rebuilt adversarial testing methodology spanning foundation-model labs, security startups, and regulatory frameworks.
Alignment & Safety · Interpretability
With Goodfire's Silico debugger, AI lie detectors nearing production, and new safety fellowships at Anthropic and OpenAI, the field is building real-world infrastructure while the crucial question of what these evals actually measure persists.
Alignment · Interpretability
After years as a niche research discipline, mechanistic interpretability is now spawning startups, fellowship programs, and off-the-shelf debugging tools, though the hardest problems remain unsolved.
Security · Alignment
As exploit windows shrink to hours, AI red teaming shifts from quarterly checkpoints to continuous automation, yet blind spots in the methodology remain that tools alone cannot fix.
Alignment · Reading Lists
New alignment reading lists and literature surveys are reshaping the field's self-definition, while battles over which papers make the cut expose deeper fractures in AI safety research.
Alignment & Safety · Investigation
An MIT audit of 72 AI agent frameworks reveals a stark absence of safety disclosures and kill switches, while Anthropic’s unreleased Mythos model deepens the chasm between benchmark performance and real-world trust.
AI · Safety
The 84-page card disclosure published with Mythos 5 is the most detailed pre-deployment evaluation on record. The strongest version of the safety claim is also the narrowest.
AI · Analysis
Three of the five most-cited frontier benchmarks have had their public splits leak into training corpora since January. The score on the leaked one is not the score on the held-out one.