The Science half
Writing at the edge of design & AI.
Essays on creativity, design, science and human-centered AI. Written to be read the way they were designed, not flattened to fit someone else's template.
Decision Reasoning Models: Giving LLM Agents Precise Decisions
LLM agents read a decision's context well but don't answer the same way twice. A small language model, fine-tuned to read that text and return one calibrated answer, shown on three decisions: a shopper's order of preference, a Yes or No on a conference, and a travel budget.
Read →Personalized Memory: A Model on Top of the Model
Even a huge model is still one average over millions of shoppers. A small per-customer memory sits on top and carries each shopper's own baseline, floored so a quiet session never collapses back to the average. A State Space / Kalman view of personalization, with no retraining.
Read →Protein mania:what 3,578 labels actually say
So each figure carries a magic lens, a circle you drag across the chart. Under the glass, the same data re‑renders at a finer grain; outside it, nothi…
Read →Cognitive Orchestration: Knowing Which Decisions Are Settled
Agentic orchestration already answered how work moves between agents. Being cognitive is a different question: knowing which decisions are settled, which are genuinely contested, and which have no precedent at all. That gets measured per case at runtime, out of the disagreement every pipeline throws away as noise.
Read →Collaborative Episodic Memory
We taught machines to reason with us, not to remember with us. What a session leaves behind turn by turn, and what happens when those episodes are finally read together.
Read →Beyond codifying explicit steps. Teaching AI the implicit decisions: tradeoffs, the weight of each option, constraints
The dominant way to make an agent act like a specific expert is to feed it that expert's trail: chat transcripts, meeting recordings, written memos, a…
Read →How Do You Know an AI Answer Is Good Enough to Act On?
An analyst asks an agent a question about a product category and gets back a clean answer: here are the strongest item affinities, here is what is dif…
Read →The AI Cognitive Quadrant
Where rules, ML, GenAI, and agents actually fit, and what kind of human oversight each one really demands.
Read →From a Digital Twin to a Phygital Twin.
The way I picture it: a flight recorder for knowledge work. Each observer notes what someone did, in which app, what the screen was showing, and…
Read →From Super Teammate to MetaTwin: Toward Self-Building Digital Twins of Expertise
An open-source skill pack: withsuper-analyst, that could learn a dataset and produce a rules playbook. super-optimizer, which tunes a playbook against…
Read →Test-Time Training: TTT-Discover
Most of our experience with Large Language Models (LLMs) involves a frozen brain. You send a prompt, and the model, with weights fixed in time, predic…
Read →The New Human Roles of AI: Why Boundaries, Not Models, Define the Future of Work
The Wall Street Journal recently published an article titled “Four New Jobs That May Be in Our AI Future.” https://www.wsj.com/tech/ai/new-jobs-ai-fut…
Read →Nested Learning for Recommender Systems: Bringing Fast and Slow Learning to Personalization
Modern recommendation systems face a paradox:
Read →LLM-Driven Probabilistic Sampling for Human-Guided Optimization
In business, we often need to make decisions with quantitative and qualitative information. For example, setting shelf presentation levels for hundred…
Read →Evolving LLM Prompts to Generate Customer Shopping Narratives: AI-Guided Evolution with Cohesive
In a previous article, we explored how combining large language models (LLMs) with reinforcement learning can create smarter business rules. Building …
Read →Stop the test when the evidence is in, not when the calendar says so
You ship a new checkout flow. You want to know if it beats the old one. So you split traffic, and because you are a human being with a dashboard, you …
Read →The GLP-1 Ripple
GLP-1 receptor agonists were not designed as an economic force. They were designed to manage blood sugar. The weight loss was a side effect that turne…
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