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What we publishwhen it stops beingload-bearing.
001 convenings · 100 insightsUpdated when files close
The Observatory is what remains when an engagement closes. Briefings, insights and instruments — released the moment they are no longer holding a live file together. No promotion, no schedule, no editorial calendar.
03 / 06 · Observatory00 scheduled · Next file
01 / What lives here
Four channels.One discipline.
- § 01
Convenings
Briefings, roundtables and closed sessions. Held under Chatham House by default.
- § 02
Insights
Working notes from active files. Released when the underlying matter is closed.
- § 03
Mandates
Public records of engagements where the client has chosen disclosure.
- § 04
Tools
Calculators, frameworks and instruments built for our own files first.
/01 · CONVENINGS
000 · SCHEDULEDBriefings & closed sessions
WindowMode
No convenings match this filter.
/02 · ARCHIVE
100 · ENTRIESInsights
FEATURED07 JUN 2026
We Should Train AI to Betray Its Users
Medium
07 JUN 2026Medium
Building a Multi-Agent System in Python
06 JUN 2026Medium
Picking an Experimentation Platform: A Retrospective
06 JUN 2026Medium
Who Will Win the 2026 Soccer World Cup?
06 JUN 2026Medium
My SciPy ODE Solver Was Killing My Bayesian Inference: A Cosmologist’s Honest Account of Discovering Diffrax
05 JUN 2026Medium
My AI Couldn’t See My Files — I Built a Zero-Dependency MCP Server
05 JUN 2026Medium
The Fundamental Choice in Reinforcement Learning: On‑Policy vs. Off‑Policy
05 JUN 2026Medium
Automate Writing Your LLM Prompts
05 JUN 2026Medium
How to Fine-Tune an SLM for Emotion Recognition
04 JUN 2026Medium
How to Navigate the Shift from Prompt-Based Tools to Workflow-Driven AI
04 JUN 2026Medium
Five Ways to Fine-Tune Chronos-2, the Time Series Foundation Model
04 JUN 2026Medium
Small Data, Big Maps: Training Geospatial ML Models When Samples Are Scarce
04 JUN 2026Medium
FPN Paper Walkthrough: Leveraging the Internal Pyramid
04 JUN 2026Medium
Is an Online Master’s Degree in AI a Good Idea?
03 JUN 2026Medium
I Spent May Evaluating Different Engines for OCR
03 JUN 2026Medium
Why AI Is NOT Stealing Your Job
03 JUN 2026Medium
I Built a C++ Backend So My GPU Would Stop Eating Air
03 JUN 2026Medium
What AI Agents Should Never Do on Their Own
02 JUN 2026Medium
Code Is Cheap. Engineering Judgement Is Now the Scarce Resource
02 JUN 2026Medium
From Local App to Public Website in Minutes
02 JUN 2026Medium
From Regex to Vision Models: Which RAG Technique Fits Which Problem
02 JUN 2026Medium
Exploring Income Patterns with Python Pandas, Matplotlib, and Seaborn
01 JUN 2026Medium
RAG Is Not Machine Learning, and the ML Toolkit Solves the Wrong Problem
01 JUN 2026Medium
How to Combine Claude Code and Codex for Maximum Coding Power
01 JUN 2026Medium
Ensuring Data Integrity with Cryptographic Hashing and the Ethereum Blockchain
01 JUN 2026Medium
It’s the Lessons We Learned Along the Way. Or, Is It?
01 JUN 2026Medium
Escaping the Valley of Choice in BI
31 MAY 2026Medium
Solving a Murder Mystery Using Bayesian Inference
31 MAY 2026Medium
Rerankers Aren’t Magic Either: When the Cross-Encoder Layer Is Worth the Cost
31 MAY 2026Medium
Proxy-Pointer RAG: Eliminating Wasteful Entity & Relations Extraction in Knowledge Graphs
30 MAY 2026Medium
Meta-Cognitive Regulation Might Be the Most Important AI Skill Nobody Is Talking About
30 MAY 2026Medium
Embeddings Aren’t Magic: The Predictable Failure Modes of RAG Retrieval
30 MAY 2026Medium
Qdrant TurboQuant Explained: Is TurboQuant the Silver Bullet?
29 MAY 2026Medium
Baseline Enterprise RAG, From PDF to Highlighted Answer
29 MAY 2026Medium
RAG Is Burning Money — I Built a Cost Control Layer to Fix It
29 MAY 2026Medium
Why Gradient Descent Became Stochastic
29 MAY 2026Medium
Explaining Lineage in DAX
29 MAY 2026Medium
Five Questions About Chronos-2, the Time Series Foundation Model
28 MAY 2026Medium
EmoNet: Speaker-Aware Transformers for Emotion Recognition — and What I’d Build Differently in 2026
28 MAY 2026Medium
The Infrastructure Behind Making Local LLM Agents Actually Useful
28 MAY 2026Medium
Why AI Still Can’t Solve Your Real Mathematical Optimization Problem
28 MAY 2026Medium
DiffuJudge-AV: A Diffusion-Inspired Framework for Calibrated AV Video Evaluation
27 MAY 2026Medium
How to Effectively Run Many Claude Code Sessions in Parallel
27 MAY 2026Medium
Learning From Pairwise Preferences: An Introduction to the Bradley Terry Model
27 MAY 2026Medium
Most AI Agents Fail in Production Because They’re Built Backwards
27 MAY 2026Medium
They Requested It. I Built It. Nobody Ever Used It.
26 MAY 2026Medium
What Is a Data Agent?
26 MAY 2026Medium
The AI Model Confidence Trap
26 MAY 2026Medium
Stop Using LLMs Like Giant Problem Solvers
26 MAY 2026Medium
The Domain Shift: Moving Data Governance from Product Triage to Infrastructure Investment
25 MAY 2026Medium
Can AI write your code?
25 MAY 2026Medium
I Built My First ETL Pipeline as a Complete Beginner. Here’s How.
25 MAY 2026Medium
Introducing the Agent Toolkit for Amazon Web Services
25 MAY 2026Medium
From TF-IDF to Transformers: Implementing Four Generations of Semantic Search
24 MAY 2026Medium
The Ultimate Beginners’ Guide to Building an AI Agent in Python
24 MAY 2026Medium
Beyond the Model: Why Data Scientists Must Embrace APIs and API Documentation
23 MAY 2026Medium
How to Mathematically Choose the Optimal Bins for Your Histogram
23 MAY 2026Medium
Beyond the Scroll: How Social Media Algorithms Shape Your Reality
23 MAY 2026Medium
From Prototype to Profit: Solving the Agentic Token-Burn Problem
22 MAY 2026Medium
Hybrid AI: Combining Deterministic Analytics with LLM Reasoning
22 MAY 2026Medium
Enterprise Document Intelligence: A Series on Building RAG Brick by Brick, from Minimal to Corpus scale
22 MAY 2026Medium
The Hidden Bottleneck in Quantum Machine Learning: Getting Data into a Quantum Computer
22 MAY 2026Medium
Lost in Translation: How AI Exposes the Rift Between Law and Logic
21 MAY 2026Medium
LLM Themes Are Not Observations
21 MAY 2026Medium
3 Claude Skills Every Data Scientist Needs in 2026
21 MAY 2026Medium
Benders’ Decomposition 101: How to Crack Open a Stochastic Program That’s Too Big to Swallow Whole
21 MAY 2026Medium
Prompt Engineering Isn’t Enough — I Built a Control Layer That Works in Production
20 MAY 2026Medium
Optimizing AI Agent Planning with Operations Research and Data Science
20 MAY 2026Medium
Can LLMs Replace Survey Respondents?
20 MAY 2026Medium
How to Safely Run Coding Agents
20 MAY 2026Medium
From Possible to Probable AI Models
19 MAY 2026Medium
Deploying a Multistage Multimodal Recommender System on Amazon Elastic Kubernetes Service
19 MAY 2026Medium
Grounding LLMs with Fresh Web Data to Reduce Hallucinations
19 MAY 2026Medium
Introduction to Lean for Programmers
19 MAY 2026Medium
Proxy-Pointer RAG: Solving Entity and Relationship Sprawl in Large Knowledge Graphs
18 MAY 2026Medium
Six Choices Every AI Engineer Has to Make (and Nobody Teaches)
18 MAY 2026Medium
One Flexible Tool Beats a Hundred Dedicated Ones
18 MAY 2026Medium
Why Your AI Demo Will Die in Production
18 MAY 2026Medium
How to Maximize OpenAI’s Codex
17 MAY 2026Medium
Pandas Isn’t Going Anywhere: Why It’s Still My Go-To for Data Wrangling
17 MAY 2026Medium
LLM Evals Are Based on Vibes — I Built the Missing Layer That Decides What Ships
16 MAY 2026Medium
From Data Analyst to Data Engineer: My 12-Month Self-Study Roadmap
16 MAY 2026Medium
Recursive Language Models: An All-in-One Deep Dive
15 MAY 2026Medium
From Raw Data to Risk Classes
15 MAY 2026Medium
How I Continually Improve My Claude Code
15 MAY 2026Medium
Why My Coding Assistant Started Replying in Korean When I Typed Chinese
15 MAY 2026Medium
Stop Evaluating LLMs with “Vibe Checks”
14 MAY 2026Medium
The Next AI Bottleneck Isn’t the Model: It’s the Inference System
14 MAY 2026Medium
The Counterintuitive Networking Decisions Behind OpenAI’s 131,000-GPU Training Fabric
14 MAY 2026Medium
I Let CodeSpeak Take Over My Repository
14 MAY 2026Medium
How to Write Robust Code with Claude Code
13 MAY 2026Medium
I Built the Same B2B Document Extractor Twice: Rules vs. LLM
13 MAY 2026Medium
Exploring Patterns of Survival from the Titanic Dataset
13 MAY 2026Medium
What’s the Best Way to Brainwash an LLM?
13 MAY 2026Medium
Building an Evaluation Harness for Production AI Agents: A 12-Metric Framework From 100+ Deployments
12 MAY 2026Medium
From Vibe Coding to Spec-Driven Development
12 MAY 2026Medium
Hybrid Search and Re-Ranking in Production RAG
12 MAY 2026Medium
Proxy-Pointer Framework for Structure-Aware Enterprise Document Intelligence
12 MAY 2026Medium
Your First WebAssembly Program and Web App (Written, Tested, and Deployed Entirely in the Web Browser)
11 MAY 2026Medium
Learning Word Vectors for Sentiment Analysis: A Python Reproduction
04 / Media inquiries
For journalists,editors and analysts.
We respond to media on the record only when the underlying file is closed. For background, attributable commentary, or expert introductions, write to the press desk directly.
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05 / Signal
Receive the filethe day it closes.
A signal cut from active files. Insights, mandates and tools — published the day they stop being load-bearing for an engagement. No promotion, no tracking pixels, no schedule.
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