As agent swarms brute-force commercial software into clean-room Rust clones in days, we explore the ethical collapse of the Digital Robin Hood narrative, Claude Opus 5.5, Locke’s labor theory, and Kantian imperatives.

When cybersecurity headlines buzzed about AI chaining decades-old PHP behaviors, Mauricio and I experienced the exact same phenomenon auditing my research codebase: a subtle shallow-reference bug. Here is why AI makes the ultimate unblinking auditor, and why finding logic debt doesn’t mean your science is broken.

Why the execution harness, not foundation model weights, is the true product in AI. Exploring Google Cloud AI Research’s Harness² (arXiv:2610.14224), and two-level recursive adaptation

Why autonomous coding agents burn hundreds of thousands of tokens on terminal noise, how we shrunk prompt overhead using evolutionary harness compaction, and how we built a confidence guard for the edge model that wrote this post.

Lee Boonstra just released a beautiful 68-page Prompt Engineering whitepaper that I will summarize here. You’ve surely heard the buzz about LLMs and Agentic AI over the last couple of years. Think of them as that brilliant, slightly chaotic intern you once had. Super smart, tons…

Hey there, fellow data strugglers! It’s no secret that the field of artificial intelligence (AI) has been making massive strides over the last few years. Let’s take a quick trip down memory lane and see how things have progressed since 2017. First up, we’ve seen…