Karp's Anger, Figma's Squeeze, and the Clue Microsoft Office Left Behind
From Karp's charge against model vendors, to Figma's first-draft problem, to the lesson Microsoft Office already left behind.
Notes on memory, alignment, and agents
From Karp's charge against model vendors, to Figma's first-draft problem, to the lesson Microsoft Office already left behind.
Small markdown files do not change model weights, but when and how the harness injects them decides whether they act as constraints or as noise.
Insight is the interest earned on systematic knowledge; framing fixes the ceiling; pitching debugs your understanding; interest funds the whole loop.
Why skills break when they change machines, and how SkVM borrows the compiler/VM playbook to make them portable, verifiable, and self-optimizing.
Markdown over vector databases, model-driven recall over embeddings, and offline consolidation: the design bets inside Claude Code's memory, and why they hold up.
Same model, +13.7 points on Terminal Bench: what prompt and context engineering miss, and why the next layer of agent reliability is built outside the model.
What happens when the memory architecture, not just the memory strategy, becomes searchable, and what the three evolved systems reveal about the trade-off surface.
Facts are universal; meaning is personal. Why memory is the infrastructure that turns capable models into aligned ones.
Rather than predicting the next token, predict your next thought: how Me.bot bets on parameterized personal memory over RAG.