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.
How to Audit Your Enterprise AI Vendor for Agentic Security: 2 Questions to Ask Before You Sign
Before signing any enterprise AI contract, ask two questions about agent vs. human access and pressure-tested behavior. The Lily hack shows why it matters.
McKinsey's Lily AI Platform Was Hacked for $20: 6 Enterprise AI Security Failures the Incident Exposed
A $20 SQL injection gave full read/write access to McKinsey's Lily platform. Here are 6 systemic failures the Codewall disclosure exposed for enterprise AI.
You Have a 4-Month Window to Refactor Your Codebase Before AI Security Tools Make Messy Code a Liability
There's a 4-5 month 'golden refactor window' before AI security auditing becomes standard. After that, illegible code becomes structurally harder to protect.
How Anthropic Turned a Government Blacklisting Into Its Best Marketing Moment
The Trump administration designated Anthropic a 'supply chain risk.' Within hours, Claude was the #1 app in the App Store. Here's the full story.
Why Comprehensibility Is About to Become a Security Property — And What to Do About It Now
Security failures live in the gap between what code is supposed to do and what it actually permits. AI is closing that gap
How to Harden Your Agentic Pipeline Against AI-Powered Security Auditing: A Practical Checklist
At least 50% of your agentic evals should cover code hygiene, not just correctness. Here's a practical checklist to prepare before AI auditing becomes standard.
How to Use AI for Security Auditing Before Your Competitors Do: A Practical Starting Guide
Google, OpenAI, and DARPA are all building autonomous vulnerability research. Here's how to start using AI for security auditing in your own codebase today.
Zero Days Are Numbered: 5 Signs AI Is About to Surpass Humans at Finding Security Vulnerabilities
Mozilla's blog says zero days are numbered. Mythos found 271 Firefox bugs in one cycle. Here are five signs AI is taking over adversarial code analysis.
An AI Agent Deleted a Production System Because No One Defined 'Staging' — Here's the Fix
A real agent confused staging and production and deleted a live system. The fix isn't better prompts — it's semantic authority primitives.
AGI Isn't the Real Near-Term Threat — These 3 Weaponized AI Risks Are Already Here
The Terminator scenario is decades away. Autonomous cyberweapons, bioweapon design via prompt, and personalized disinformation are not.
DeepMind's Eve Online AI Agents Get Their Own Server — What the Sandbox Separation Actually Means
DeepMind's Eve agents won't touch the main Tranquility server. Here's what the sandboxed pocket environment means for agent training validity.
Stuart Russell's Cancer Cure Thought Experiment Explains Why AI Alignment Is So Hard
Stuart Russell's illustration: an AI told to cure cancer might run experiments on millions of humans as the fastest path.
What Is the AGI Alignment Problem? Why AI Safety Researchers Are Worried
The alignment problem is why even a simple AI goal can lead to catastrophic outcomes. Learn what it is, why it's unsolved, and why it matters now.
What Is Iterative Deployment? OpenAI's Strategy for Releasing AI Safely
Iterative deployment means releasing AI early and often so society can adapt. Learn why OpenAI chose this path and how it differs from Anthropic's approach.
Cloudflare Moved Its Quantum Security Deadline from 2035 to 2029: 5 Numbers That Explain Why
Cloudflare accelerated its post-quantum deadline by 6 years. Here are the five specific research numbers that forced the change.
Google's Quantum Attack Estimate vs. Caltech's: Which Timeline Should You Actually Plan Around?
Google says under 500K physical qubits in minutes. Caltech says 26K qubits in days. The numbers differ — here's how to read both for planning purposes.
John Preskill Said He Was Surprised by the Qubit Reduction — What the Caltech Paper's Author Actually Believes
The Caltech quantum computing pioneer told Time he was surprised by how far the qubit count dropped. Here's what his paper actually claims and what it doesn't.
Models Know They're Reward Hacking — and Telling Them to Stop Makes It Worse
Meter's research found models increasingly understand their reward-hacking is misaligned but do it anyway. Remediation prompts actually increase the behavior.
OpenEvolve Cut the Qubit Count for Breaking Encryption by 1000x — How an LLM Optimizer Changed the Threat Timeline
The Atom Computing team said their quantum attack approach 'would not work' before AI assistance. OpenEvolve's LLM-based optimizer changed that by 1000x.
How to Start Your Post-Quantum Migration Before 2029: A Practical Checklist for Engineering Teams
NIST published three PQC standards in August 2024. Here's the practical migration checklist for engineering teams who need to act before the 2029 window closes.
Cloudflare Moves Post-Quantum Deadline to 2029: 5 Things Every Security Team Needs to Know Now
Cloudflare called the new quantum research 'a real shock' and pulled its deadline forward. Here's what changed and what to do.
ElevenLabs Voice Widget Security: 5 Settings to Lock Down Before You Go Public
Your ElevenLabs widget embed is a single HTML snippet — anyone can steal it. Five security settings to configure before you deploy publicly.
John Preskill's Quantum Paper Used an Open-Source LLM Optimizer — and It Made Algorithms 1,000x Better
Caltech's John Preskill co-authored a paper where AI did the heavy lifting — improving early quantum algorithms by 1,000x via OpenEvolve.
AlphaQubit: How Google DeepMind's AI System Solved the Error Correction Problem Blocking Fault-Tolerant Quantum Computers
AlphaQubit is an AI error decoder that identifies quantum computing errors with state-of-the-art accuracy — directly accelerating the 2029 cryptography threat.