·15 min read
Everyone's Talking About Mythos. My Wife Is Still Talking About the TV.
Anthropic's Mythos Preview report measures the model I can actually run. So this weekend, I ran it on my house. Here is what Opus 4.6 did.
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Tag
AI
12 posts
·5 min read
How Cybersecurity Teams Actually Use AI: What I Told Students at PBSC
I spoke at Palm Beach State College's Cybersecurity Symposium on how security teams use AI in practice and what students can do right now to prepare.
·31 min read
Preliminary Findings: How Humans Detect AI-Generated Phishing Across 2,511 Classifications
Findings from 153 participants classifying AI-generated phishing: technique-level bypass rates, overconfidence patterns, and what security training misses.
·4 min read
Threat Terminal v2.0: PvP Is Here
Real-time 1v1 ranked matches, a new unlock ladder, and a terminal AI that will not stop talking. Threat Terminal v2.0 goes live tonight.
·6 min read
What's Coming in Threat Terminal v2
What is changing in Threat Terminal v2: complete UI overhaul, persistent progression, daily challenges, ranked PvP, badges, and a coin economy.
·8 min read
100 Participants: Preliminary Patterns Before the Real Analysis
Preliminary descriptive patterns from 100 participants and 1,612 classified emails in Threat Terminal, before formal statistical analysis begins.
·6 min read
Pilot Data: Which Phishing Techniques Actually Fool People?
Pilot data from 56 participants in Threat Terminal reveals which phishing techniques humans miss most when AI eliminates writing quality as a signal.
·5 min read
Fluent Prose: The Phishing Technique Security Training Ignores
Phishing emails with no urgency, no threats, and no red flags bypass humans at three times the rate of credential harvesting. Training has it backwards.
·6 min read
What Happens When AI Makes Every Phishing Email Perfect?
AI eliminated the grammar errors and broken formatting phishing training taught people to spot. The detection problem is now fundamentally different.
·6 min read
Building a Controlled Phishing Detection Dataset at Scale with the Claude API
How I built a controlled phishing dataset with the Claude API: batching by technique, automated review, and handling rate limits at scale.
·7 min read
Building Threat Terminal: What Actually Went Wrong
Decisions, pivots, and problems behind designing a phishing research study, and why the constraints produced a cleaner methodology than planned.