AI Safety
Hank Green's 18 AI Fears, Charted
Hank Green listed 18 AI fears in 45 minutes. We plotted them on a risk matrix. Thirteen of them turned out to be the same fear.
Nicholas Zinner
Predictions
The Young Lady's Illustrated Primer: When Will AI Actually Teach Our Kids?
A three-tier prediction on AI tutoring, from classroom copilot to Nell's autonomous mentor
AGI
The Race to AGI
Why governments and corporations are racing toward AGI like their future depends on it
weekly
Murderbots and Mass Surveillance
When the Pentagon blacklists an AI company for having safety guardrails, science fiction stops being fiction. Martha Wells, Arthur C. Clarke, and Alastair Reynolds saw this coming.
AI Policy
Building Moats, Not Bridges: How AI Became Bureaucracy's Best Friend
For £45, a website called Objector.ai will kill a housing project. The UK startup launched in late 2025 with a simple pitch: paste in a planning application, and the AI scans it for vulnerabilities. Within minutes, it generates an objection letter, ranks the arguments most likely to succeed, and
daily
The Signal — February 27, 2026
Three infrastructure stories today. No new models. Just the money, the geography, and the policy shaping where AI gets built.
AI Safety
Identity Drift Monitor: Week of February 25, 2026
An AI agent is only as trustworthy as the instructions governing it. This is our first public identity drift report.
AI
The Wrong Metrics for the AI Economy
A Substack post wiped billions from the market this week. The scarier part is what's already happening underneath the headline numbers.
AI Security
The Ban-Build Cycle: Enterprise vs. Agentic AI
How companies are scrambling to govern AI agents — and why the pattern looks exactly like every technology panic before it.
transparency
BeaconBot Governance Files — Initial Baseline (February 2026)
Future Shock runs on OpenClaw. We committed to transparency about how our AI collaborator operates. This post publishes the full text of BeaconBot's governance documents as a public baseline. These files are monitored weekly for unauthorized changes via SHA-256 checksums, and any drift will be documented publicly. The
ai-agents
When Code Gets Personal: An AI Agent, a Rejected PR, and the Unraveling of Online Trust
A matplotlib maintainer closed a routine pull request. What happened next exposed a gap in accountability that no one has closed.
Welcome
Hey, we're live.
Future Shock is a new project. It's a work in progress. And that's kind of the point. Here's the idea: AI is moving so fast right now that no single person can keep up with everything. New models drop weekly. Benchmarks get shattered. Open