Articles by ngrislain
24

Zero-Cost POSIX Compliance: Encoding the Socket State Machine in Lean's Types (ngrislain.github.io)

1

Reading Note: Sequential-Parallel Duality in Prefix Scannable Models (ngrislain.github.io)

1

Show HN: Lean-pq a typesafe PostgreSQL connector for lean (github.com/typednotes)

4

Don't Vibe – Prove (ngrislain.github.io)

1

Lean-PQ – Type-safe PostgreSQL bindings for Lean 4 via libpq FFI (github.com/typednotes)

2

How to Die Optimally – A Theory of Consumption When AI Takes Your Job (ngrislain.github.io)

2

Lean Advent of Code 2025 (github.com/ngrislain)

1

Teaching 3D Geometry with Pyxel (ngrislain.github.io)

1

Mathematical Beauty, Truth and Proof in the Age of AI (quantamagazine.org)

1

Post-Labor Economics Lecture 01 [video] (youtube.com)

1

A Practical Method for Testing Differential Privacy – By Andi Cuko (medium.com/sarus)

31

Show HN: Value likelihoods for OpenAI structured output (arena-ai.github.io)

1

RAG with Differential Privacy (arxiv.org)

2

DP-RAG (medium.com/sarus)

1

Show HN: A simple implementation of Differentially Private RAG (github.com/sarus-tech)

2

Nostr – Wikipédia (wikipedia.org)

1

Enhancing May App Service Quality While Safeguarding Patients' Data (sarus.tech)

1

Qrlew SQL Framework (qrlew.github.io)

1

Lake Nyos Disaster (wikipedia.org)

2

Anonymization: The imperfect science of using data while preserving privacy (science.org)

1

Discovering New Knowledge While Protecting Privacy (sarus.tech)

2

Compiler-Driven Development in Rust [video] (youtube.com)

2

Beyond Few-Shot Learning: LLMs Excel in Synthetic Data Gen with Fine-Tuning (medium.com/sarus)

1

Quickly Generate Time-Series Synthetic Data with OpenAI's Fine-Tuning API (sarus.tech)

1

Private Synthetic Data for Generative AI (microsoft.com)

1

Pythagorean cups force their users to fill them in moderation (wikipedia.org)

9

A Philosophy of Software Design [pdf] (milkov.tech)

8

Show HN: Qrlew, simple SQL to SQL-with-privacy written in Rust (github.com/qrlew)

8

Rewrite your SQL to SQL-with-privacy using Qrlew (qrlew.github.io)

5

Advances in GenAI change the game for differential privacy (sarus.tech)