
Aligned Testnet 3 : Our first EigenLayer AVS open to ext…
We are excited to announce the launch of our third testnet, marking a significant advancement in the adoption of zero-knowledge (ZK) proofs on Ethereum. This is our first public testnet open to third party operators for our EigenLayer AVS. We invite you to work with us towards our goal of accelerating the Ethereum roadmap by making the implementation of ZK proofs both easy and economical. By reducing the complexity and cost of verification, Aligned will establish ZK as the default solution fo...

Aligned Manifesto
We live in an era where we can no longer trust what we read, see, or even hear. Rapid advancements in artificial intelligence have accelerated the production of illusory content. Fake news and alternative facts are displayed in all formats, for any purpose, from personal vanity to political propaganda. At the same time, global internet freedom is falling, as critical content is increasingly censored, and replaced with deepfakes and disinformation. This situation, combined with our heavy depen...

What are ZK-SNARKS?
SNARKS have gained considerable attention recently due to their broad utility in areas such as blockchain scalability, identity mechanisms, verifiable machine learning, and fighting against misinformation and fake news. We see new developments daily, but SNARKS have been around for a long time. SNARKs allow one party, the prover, to prove to another, the verifier, that a given computation was computed correctly.Key Properties of SNARKSZK-proofs are not a recent invention. The definitions, fou...
We accelerate the roadmap of Ethereum by making proof verification faster and cheaper. We can verify proofs for 10% of the cost.

Aligned Testnet 3 : Our first EigenLayer AVS open to ext…
We are excited to announce the launch of our third testnet, marking a significant advancement in the adoption of zero-knowledge (ZK) proofs on Ethereum. This is our first public testnet open to third party operators for our EigenLayer AVS. We invite you to work with us towards our goal of accelerating the Ethereum roadmap by making the implementation of ZK proofs both easy and economical. By reducing the complexity and cost of verification, Aligned will establish ZK as the default solution fo...

Aligned Manifesto
We live in an era where we can no longer trust what we read, see, or even hear. Rapid advancements in artificial intelligence have accelerated the production of illusory content. Fake news and alternative facts are displayed in all formats, for any purpose, from personal vanity to political propaganda. At the same time, global internet freedom is falling, as critical content is increasingly censored, and replaced with deepfakes and disinformation. This situation, combined with our heavy depen...

What are ZK-SNARKS?
SNARKS have gained considerable attention recently due to their broad utility in areas such as blockchain scalability, identity mechanisms, verifiable machine learning, and fighting against misinformation and fake news. We see new developments daily, but SNARKS have been around for a long time. SNARKs allow one party, the prover, to prove to another, the verifier, that a given computation was computed correctly.Key Properties of SNARKSZK-proofs are not a recent invention. The definitions, fou...
We accelerate the roadmap of Ethereum by making proof verification faster and cheaper. We can verify proofs for 10% of the cost.

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Recently, Vitalik Buterin wrote on binary fields and their potential to generate zero-knowledge proofs.
Binary fields are finite fields with characteristic equal to two.
We can view them as polynomials whose coefficients can only take the values 0 and 1, so 1 + x^2 + x^6 are elements in some binary field but not 5 + x!
We can also associate them with bitstrings and define operations over them so that they behave like fields.
The simplest binary field is the integers modulo 2. The addition operation is simply binary XOR and multiplication is the binary AND.
We can make bigger binary fields by considering polynomials with coefficients in the binary field modulo an irreducible polynominal (e.g, 1 + x + x^2 or 1 + x + x^3 + x^4 + x^8).
The 1st allows us to make a field over bitstring of size 2 and the 2nd, over bitstring of size 8.
Binius builds field extensions using a towered approach: we start from the simplest binary field and build a degree two extension over it. Then, we build another binary extension over the new field, using the irreducible polynomial 1 + xy + y^2.
We continue creating new fields from the previous one using the irreducible polynomial 1 + y z + z^2.
This comes with some advantages when we consider Binius’s polynomial commitment scheme.
The commitment scheme is based on Brakedown, a hash-based polynomial commitment scheme.
It is very fast, at the expense of larger proof sizes (on the order of the square root of the degree of the polynomial).
By using an efficient packing scheme and leveraging an additive fast Fourier transform algorithm for encoding, Binius can commit to polynomials really fast!
If you want to learn more, check out the LambdaClass introductory posts on Binius: here and here.
Stay tuned: 🐦 Twitter | 🗨️ Telegram | 👾 Discord | 🌐 Website | 🌌 Galxe | 📝 Manifesto
Recently, Vitalik Buterin wrote on binary fields and their potential to generate zero-knowledge proofs.
Binary fields are finite fields with characteristic equal to two.
We can view them as polynomials whose coefficients can only take the values 0 and 1, so 1 + x^2 + x^6 are elements in some binary field but not 5 + x!
We can also associate them with bitstrings and define operations over them so that they behave like fields.
The simplest binary field is the integers modulo 2. The addition operation is simply binary XOR and multiplication is the binary AND.
We can make bigger binary fields by considering polynomials with coefficients in the binary field modulo an irreducible polynominal (e.g, 1 + x + x^2 or 1 + x + x^3 + x^4 + x^8).
The 1st allows us to make a field over bitstring of size 2 and the 2nd, over bitstring of size 8.
Binius builds field extensions using a towered approach: we start from the simplest binary field and build a degree two extension over it. Then, we build another binary extension over the new field, using the irreducible polynomial 1 + xy + y^2.
We continue creating new fields from the previous one using the irreducible polynomial 1 + y z + z^2.
This comes with some advantages when we consider Binius’s polynomial commitment scheme.
The commitment scheme is based on Brakedown, a hash-based polynomial commitment scheme.
It is very fast, at the expense of larger proof sizes (on the order of the square root of the degree of the polynomial).
By using an efficient packing scheme and leveraging an additive fast Fourier transform algorithm for encoding, Binius can commit to polynomials really fast!
If you want to learn more, check out the LambdaClass introductory posts on Binius: here and here.
Stay tuned: 🐦 Twitter | 🗨️ Telegram | 👾 Discord | 🌐 Website | 🌌 Galxe | 📝 Manifesto
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