computer-science

  • 4th March 2026

Zero-Knowledge: Turning Computation into Polynomials (Part 1/3)

From a program to a few polynomial equations: how SNARKs encode computation through flattening, R1CS, and the QAP transformation

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  • 13th February 2026

Verkle Trees: Polynomial Commitments (Part 2/2)

How a single curve point can commit to 256 children, and why proofs shrink from kilobytes to bytes

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  • 3rd February 2026

Ethereum's Merkle Patricia Trie (Part 1/2)

How Ethereum stores its state, commits it to a single hash, and why that design is hitting its limits

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  • 23rd January 2026

When Parquet Files Beat CSV

The physical reality that makes file layout matter

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  • 11th January 2026

The Limits of Computation (Part 3/3)

What Turing machines can't do, and why it matters

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  • 10th January 2026

What It Means to Be Turing Complete (Part 2/3)

Why brains and AI are 'approximate Turing machines'

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  • 9th January 2026

What is a Turing Machine? (Part 1/3)

The elegant abstraction that defines what it means to compute

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