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How not to build a Process Foundation Model
Dei Vilkinsons

How not to build a Process Foundation Model

Why classic AI model architectures fail to handle the unique properties of process graphs

Bilal Mahmoud

Deriving slugs from embeddings: vec2slug

Building a tiny transformer decoder to extract URL slugs from vector embeddings

Deriving slugs from embeddings: vec2slug

Bilal Mahmoud

HashQL: Research Preview

A hypergraph query language that supports multiple, independent time dimensions — enabling reasoning over how data evolves and when it was known

HashQL: Research Preview

Tim Diekmann, Bilal Mahmoud & Dei Vilkinsons

Announcing hgres

The graph data engine powering HASH is now available as a standalone layer

Announcing hgres
Ciaran Morinan & Dei Vilkinsons

Announcing SemType

Describe things that matter in a form people, AI agents, and software can all understand

Announcing SemType
Dei Vilkinsons

Embeddings as Encodings

Correctly conceptualizing and handling vectorization in knowledge graphs

Embeddings as Encodings
Dora Ma

Reviewing “State of the Art” in Agentic AI

Techniques to improve the performance of AI on complex tasks

Reviewing “State of the Art” in Agentic AI
AI PR Reviewer
Ciaran Morinan

AI PR Reviewer

Improving code quality and accelerating feature delivery with a homegrown AI-powered code reviewer

Tim Diekmann

Multi-temporal versioning in Postgres

Implementing an n-temporal datastore from scratch atop PostgreSQL


Jude Allred

WebAssembly’s second-order impact on AI

What's new in Wasm and what it means for running large models client-side, in-browser

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