A global list of real problems — posted by people who hurt, discovered by builders who can fix them.

And a surviving example of one surfaced in December 2024.

A personal recap of 2025 and a year of a new style of engineering.

The Authority found the App Tracking Transparency (“ATT”) policy to restrict competition The policy lays down the privacy rules imposed by the company on third-party developers of apps off...

The following is a work in progress list of known times that Cartoon Network and Adult Swim, alongside Cartoonito, had errors with screenbugs, their split screen credits, any identifications, and...

Investigation of the ground pillars for a well-lived life, and how the open web can help us with that.

The weak RC4 for administrative authentication has been a hacker holy grail for decades.

Secure mesh VPN with WireGuard encryption. Connect devices seamlessly across locations and firewalls.

A quiet policy change means the government is making fewer bets on long-term science.

Where to focus investments to best leverage AI tooling

New research from Finland's basic income experiment proves that simply trusting people with money—not just the money itself—significantly improves mental health

The self-made tycoon was convicted this week of violating Hong Kong's "national security" law. But he could have escaped it.

The final installment of the Flock Trilogy, filmed on a publicly deployed Flock Safety camera.
More info on this leak at @404Mediaco https://www.404media.co/
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Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflo...

Flock left at least 60 of its people-tracking Condor PTZ cameras live streaming and exposed to the open internet.

Schools across the U.S. are rolling out AI-powered surveillance technology, including drones, facial recognition and even bathroom listening devices. But there’s not much data to prove they keep kids safe.

Exploring the ethics and productivity impacts of undisclosed AI-generated content in professional work, and why verification overhead is now the hidden cost of AI adoption.

Despite superficial similarities, humans and LLMs operate under fundamentally different constraints and algorithms. Scaling AI will only widen this gap.