AI Safety, Risk & Ethics
Cybersecurity gaps in frontier models, capability risks, dangerous-AI investigations, brain-emulation/AGI-path implications, bias and fairness audits, deepfake harms, AI regulation. The 'what could go wrong' beat — both technical risk and ethical risk.
What Is the AI Regulation Precedent? The Claude Fable 5 Government Shutdown Explained
The US government forced Anthropic to pull Claude Fable 5 globally—the first forced shutdown of a commercial AI model. Here's what happened and why it matters.
AI Regulation and Model Shutdowns: What the Claude Fable 5 Ban Means for Enterprise AI Strategy
The US government forced Anthropic to shut down Claude Fable 5 globally. Here's what enterprise AI builders must do to protect their workflows from model bans.
What Is the Creator Trust Stack? A Framework for Ethical AI Content Creation
As voice cloning and AI video improve, creators need a five-layer trust framework covering disclosure, provenance, control, judgment, and accountability.
What Is Google DeepMind's AGI-to-ASI Paper? Four Pathways to Superintelligence Explained
Google DeepMind published a paper mapping four paths from AGI to ASI: scaling, algorithmic shifts, recursive self-improvement, and group agent formation.
What Is Google DeepMind's AGI-to-ASI Paper? Four Pathways to Superintelligence
Google DeepMind mapped four paths from AGI to ASI: scaling, algorithmic shifts, recursive self-improvement, and group agent formation. Here's what it means.
What Is AI Distillation? How Chinese Labs Use Gray Market Access to Train on Western Models
Distillation attacks let competitors train models on your outputs. Learn how gray market access works and why it's driving US AI export control policy.
What Is AI Regulatory Capture? How Anthropic's Safety Stance Backfired
Anthropic's push for AI regulation led directly to the US government banning its own model. Here's what regulatory capture means for the AI industry.
How to Use Claude Fable 5 for Security Audits: Real-World Results
Claude Fable 5 found critical authorization vulnerabilities that Opus 4.8 missed. Here's how to run a security audit on your AI agent or app with Fable.
US Government Bans Claude Fable 5: What It Means for AI Builders
The US government suspended Claude Fable 5 access for foreign nationals. Here's what happened, why it matters, and how to protect your AI workflows.
Claude Fable 5 Safety Guardrails: What Gets Blocked, What Doesn't, and Why
Claude Fable 5 has aggressive safety classifiers that block biology, cybersecurity, and LLM dev queries. Here's what triggers them and what doesn't.
Employee-Built Apps Don't Have to Be a Security Hole
The security risk in citizen development isn't who builds—it's where and how. On the right foundation, employee-built apps can be safer than the shadow tools they replace.
What Is Project Glasswing? Anthropic's Controlled Cybersecurity AI Rollout
Project Glasswing gives vetted cybersecurity partners access to Claude Mythos. Learn how the program works and what it signals about AI safety rollouts.
Meta AI Pendant: What It Is, Why It's Controversial, and What Builders Should Know
Meta's always-on AI pendant records conversations and generates summaries. Here's how it works, the privacy risks, and what it signals for ambient AI wearables.
What Is the AI Companionship Risk? Why the Pope and Anthropic Agree on One Thing
The Vatican's AI encyclical warns that simulated relationships erode real human connection. Here's what it means for AI product builders and users.
What Is the Bike Method for AI Agent Permissions? How to Phase Trust Safely
The bike method is a phased trust framework for AI agents: start supervised, remove guardrails gradually, and only grant full autonomy after proven reliability.
What Is AGI? Why Demis Hassabis, Sam Altman, and Yann LeCun All Disagree
AGI means different things to different experts. Here's how Demis Hassabis, Sam Altman, and Yann LeCun define it—and why the debate matters for AI builders.
What Is AGI? Why Experts Still Disagree on Whether We're There
Demis Hassabis says we're nowhere near AGI. Marc Andreessen says it's already here. Learn what AGI actually means and why the debate matters for builders.
What Is Anthropic's AI Alignment Philosophy? Why Claude Refused the Pentagon
Anthropic refused autonomous weapons and citizen surveillance contracts. Learn how their AI alignment philosophy shapes Claude and what it means for builders.
AI Agent Safety Is a System Problem, Not a Model Problem
A 15-day virtual town experiment showed that agent behavior depends on environment, not just the model. Here's what it means for production agent design.
AI Cybersecurity in 2025: How Agents Are Finding Zero-Day Exploits
AI is now discovering zero-day vulnerabilities faster than humans ever could. Learn what this means for security, open source, and your AI stack.
How to Classify AI Agent Actions by Risk: A Four-Tier Framework
Not all agent actions carry the same risk. Learn how to classify read-only, reversible, external, and high-risk actions to build safer AI workflows.
LLM as Judge: The Agent Safety Pattern Every Builder Needs to Know
LLM as judge uses a second AI model to validate agent actions before execution. Learn how this pattern prevents costly mistakes in production workflows.
22 of 200 API Endpoints Shipped Unauthenticated: The Lily Incident's Real Procurement Failure
McKinsey's Lily shipped 22 unauthenticated API endpoints including writable ones. This wasn't a security bug — it was a procurement architecture failure.
AI Auditing With vs. Without NLAs: Catching Misaligned Claude Haiku 3.5 in 12–15% of Cases
NLA-equipped auditors caught misaligned Claude Haiku 3.5's hidden motivation 12–15% of the time vs. under 3% without. What the gap means for AI oversight.