The state of tech discourse

Non-engineers pitch world-changing AI solutions from their home labs. Emails read like LinkedIn influencer posts. Online articles have converged into mediocrity.

AI work has killed joy

Spending 75% of time dealing with AI daily has robbed most enjoyment from work. It feels like everyone else changed while you stayed the same.

AI companies commit crimes

Major AI firms one-up each other while exploiting intellectual property, concentrating power, and enabling child sexual abuse material generation as a logged-in feature.

Military targeting and ethics

AI models support military target selection, including elementary schools. Companies brush aside ethics concerns while spending enormous amounts on tokens following a casino model.

“ethics aside...”

Vulnerability research FOMO

Anthropic and OpenAI created time-limited projects like Glasswing and Daybreak. Dozens of highly-paid security engineers diverted all priorities, costing millions per organization.

Thousands of vulnerabilities found

Despite discovering thousands of new vulnerabilities, security hasn't improved. Finding bugs was never the bottleneck. Getting packages actually updated is.

The real security work

Actual security needs asset inventories, automated updates, regular reboots, and attack surface enumeration. These basics are what nobody does well.

Resources are zero-sum

Every engineer busy in their AI silo doesn't help projects needing cross-functional collaboration. Those resources could have overhauled patching infrastructure instead.

Fake regulation theater

AI companies call for regulation while claiming their products might kill all humans. If they believed that, they could simply stop building. Greed and competition prevent it.

Environmental destruction now

AI's real harm is happening today. Data centers waste water, pollute air, and burn fossil fuels. Governments lift environmental regulations for these companies.

“the world looks different now”

AI dulls understanding

AI achieves superhuman intelligence by making humans dumber. It replaces understanding with dependency as you actively de-skill yourself.

The debugging problem

AI finds bugs, generates patches, and reviews code. The more AI in the loop, the less anyone understands the codebase. Debugging opaque systems becomes impossible.

“the human in the loop often is nothing more than a rubber stamp”

Getting off the ride

Complex systems fail in complex ways. Debugging is harder than writing code. Large distributed systems with opaque components will be impossible to debug.