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Artwork for The Software Frontier

Where abstraction ends. Essays on GPU execution, kernel internals, and distributed systems at scale.

Platform
Substack
PricingFreemiumPublishesTwice weekly
Issues105Founded2 years agoLast Issue6 days ago
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Artwork for The Software Frontier

Latest Issues

Kimi K3: 2.8 Trillion Parameters, Four Bits at a Time

Intro

Moonshot AI released Kimi K3 precisely on July 16. The headline number is 2.8 trillion parameters, which makes it the largest open-weight model ever announced.

We spent the launch week reading almost everything published about i...

6 days ago
5

Exploring how MLIR works: the compiler rewiring the AI stack

Qualcomm just agreed to pay roughly $3.9 billion for a 150 person compiler company. Tesla says it rebuilt the FSD compiler and runtime on the same infrastructure. NVIDIA’s newest Python kernel DSL compiles through it. That infrastructure is...

12 days ago
8

How LLVM Works: The IR That Took Over Modern Computing

Intro

This is the story of how LLVM’s intermediate representation ate modern computing, told at the level of the instructions themselves, with the source numbers checked.

LLVM won because of two decisions made in one semester in the ye...

16 days ago
15

The Wafer & the Wallet

Intro

For three years, the cost of making a token fell every quarter while the budget to buy tokens grew without a meter. In H1 2026 both curves reversed at once: memory pass-through is raising the cost floor of every token served, whi...

23 days ago
8

The Router and the Wire

The cost did not vanish. It moved.

Every few months the inference market tells itself a story about where the money goes, and every few months the story is wrong in the same direction. For two years the story was memory.

The key-value...

a month ago
8

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Authors

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  • Lorenzo Bradanini

    Self-taught software engineer skilled in data science, software engineering, ML, and cryptography, focused on developing innovative solutions to complex challenges.

  • Lorenzo Tettamanti

    BSc Physics student at the University of Milan. Interested in Machine Learning | Computational Physics | Artificial Intelligence | Physics Simulations

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