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QUIC and HTTP/3: The Protocol That Won Is Being Routed Around

Filed Under: Share

QUIC and HTTP/3 — a road that cannot admit anything new, and the one wrapper that still gets through

In November 2009, engineers at Google wrote down every promising way to make the web faster and crossed out the most obvious one. Replacing TCP was on the list. So was a research p

The Mark I Perceptron: The Machine That Learned to See

Filed Under: Search

The Mark I Perceptron — a photocell camera eye gazing at a shape, wired to a rack of learning dials, the first machine that learned to recognize images

Before software could learn, a machine did — a room-filling contraption with a camera eye and a wall of dials that turned themselves. The Mark I Perceptron, built at Cornell around

GraphRAG vs Vector RAG: Knowledge Graphs for AI, Explained

Filed Under: Learn Tagged With: GraphRAG, vector RAG, knowledge graphs, RAG, AI agent memory, embeddings, retrieval augmented generation, Neo4j, hybrid search, AI engineering

GraphRAG vs vector RAG — a fuzzy vector similarity cloud and a typed knowledge graph merging into one hybrid memory

If you already understand embeddings and vector search, you understand exactly half of how an AI agent remembers. The other half is structural — and it’s the half most builders nev

Cardano Tokenomics: How ADA’s Supply Actually Works

Filed Under: Measure

A large, bounded reservoir of countless glowing coins releases a fine, orderly, tapering stream into circulation — an abstract visual metaphor for Cardano's fixed 45-billion ADA supply and its gradual, reserve-based emission.

Every cryptocurrency has a set of rules baked into its software about how many coins will ever exist and how new ones arrive. That’s “tokenomics,” and for a beginner it’s the most

Transformer Encoder vs Decoder: How to Read the Diagram

Filed Under: Create

Transformer encoder vs decoder — an encoder stack with bidirectional connections beside a decoder stack with past-only (masked) connections, bridged by cross-attention

Open the diagram from the famous “Attention Is All You Need” paper and you’ll see two tall stacks of blocks sitting side by side. One is the encoder, the other the decoder, and alm

Nobody Checks the Verified Badge: The Real State of Git Commit Signing

Filed Under: Secure

Git commit signing — a verified badge that looks solid from one angle but is a thin façade from another

Git commit signing exists precisely to answer “who actually vouches for this commit?” — and almost nobody uses it, and almost nothing forces the question. A 2025 longitudinal study

Who Created DigiByte? The No-Company Story

Filed Under: Share

Many small equal points of light encircle and collectively uphold a single glowing blockchain core around an empty central pedestal — an abstract visual metaphor for DigiByte as a founder-started but community-run project with no company in charge.

Most cryptocurrencies you read about have a company behind them. Ethereum has the Ethereum Foundation; Ripple’s XRP has Ripple Labs; Solana has the Solana Foundation and Solana Lab

An Agent Security Reading List Built From Five Fields, Not One Incident

Filed Under: Books

A Reading Ladder Built on Older Ground — a painterly conceptual illustration of this idea from “An Agent Security Reading List Built From Five Fields, Not One Incident”

There is no book about the ExploitGym incident, and there will not be one for years. Any honest agent security reading list has to open by saying so: publishers write against settl

Chromium vs Chrome: The Exact Differences, Explained

Filed Under: Learn

An identical crystalline structure shown twice — bare and translucent on one side, wrapped in an added layer of warm gold facets and glowing light on the other — an abstract metaphor for the open-source Chromium foundation versus the polished Chrome product built on top of it.

If you’ve ever downloaded “Chromium” by accident instead of Google Chrome and wondered whether you grabbed a knockoff, you’re not alone. The short version of Chromium vs Chrome is

FID Explained: The Number Behind Every AI Image Generator

Filed Under: Measure

What is a FID score — measuring the statistical distance between a cloud of real images and a cloud of AI-generated images

Every time a new AI image generator is announced as “state of the art,” there’s a number doing the heavy lifting behind that claim — and nine times out of ten, that number is a FID

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Recent Articles

  • QUIC and HTTP/3: The Protocol That Won Is Being Routed Around October 11, 2026
  • The Mark I Perceptron: The Machine That Learned to See October 11, 2026
  • GraphRAG vs Vector RAG: Knowledge Graphs for AI, Explained October 11, 2026
  • Cardano Tokenomics: How ADA’s Supply Actually Works October 10, 2026
  • Transformer Encoder vs Decoder: How to Read the Diagram October 10, 2026
  • Nobody Checks the Verified Badge: The Real State of Git Commit Signing October 10, 2026

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