ARPA
Verified Creator
ARPA Network (ARPA) is a decentralized secure computation network built to improve the fairness, security, and privacy of blockchains.
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Let’s talk convolutional layers.
They're everywhere in ML, but proving them in ZK sounds scary.
Turns out… it’s faster to validate a CNN conv layer than run it. 🤯
How? Reduce it to polynomial math + apply sumcheck + FFT tricks.
Math wins again.
They're everywhere in ML, but proving them in ZK sounds scary.
Turns out… it’s faster to validate a CNN conv layer than run it. 🤯
How? Reduce it to polynomial math + apply sumcheck + FFT tricks.
Math wins again.
Early cryptography can be traced back to ancient civilizations with simple encryption methods. 🤯
The major leap in cryptography came in the 1970s with groundbreaking work by Martin Hellman, Whitfield Diffie, and Ralph Merkle.
Merkle introduced cryptographic hashing, crucial for today’s blockchain technology with features like Merkle trees enabling secure and efficient data verification. 🔐
The major leap in cryptography came in the 1970s with groundbreaking work by Martin Hellman, Whitfield Diffie, and Ralph Merkle.
Merkle introduced cryptographic hashing, crucial for today’s blockchain technology with features like Merkle trees enabling secure and efficient data verification. 🔐
Where fiat fades, code becomes law 🌐
A big reason why #ArpaNetwork chose to be AVS on @eigenlayer is due to the vast number of AVS use cases, including:
✅Composable Modules
✅Order Matching & MEV Engines
✅Gaming VMs
✅Data Storage
✅AI Training Systems
✅Composable Modules
✅Order Matching & MEV Engines
✅Gaming VMs
✅Data Storage
✅AI Training Systems
At the end of the day cryptocurrency is about freedom 🕊️
A new chain on the horizon...👀
Verifiable AI isn’t about replacing trust with code.
It’s about replacing uncertainty with proof.
Proof that the model was honest.
Proof that the result was correct.
Proof that AI can be held accountable.
Let’s build that future. 🔐
#zkML #VerifiableAI
It’s about replacing uncertainty with proof.
Proof that the model was honest.
Proof that the result was correct.
Proof that AI can be held accountable.
Let’s build that future. 🔐
#zkML #VerifiableAI
Ever heard of Freivalds’ Algorithm? 🤔
It lets you check if matrix A times B really equals C, without doing all the heavy math. 🧮
Instead of checking every element (which takes forever), you just test a smart shortcut.
✨Less work, same confidence. That’s the ZK mindset.
It lets you check if matrix A times B really equals C, without doing all the heavy math. 🧮
Instead of checking every element (which takes forever), you just test a smart shortcut.
✨Less work, same confidence. That’s the ZK mindset.
Cryptocurrency has no politics
🚀 ARPA Network Spring Progress Highlights are here!
This season, we:
• Expanded our ecosystem with integrations across @carv_official, @SonicSVM, @awenetwork_ai, @soon_svm, @SoloDePIN, @GPTWars & more
• Launched @eigenlayer AVS Restaking Season 4
• Drove new partnerships and community milestones in Turkey & Dubai
• Advanced thought leadership in verifiable AI, privacy, and cryptography
Read the full report for all the details and what’s next👇
This season, we:
• Expanded our ecosystem with integrations across @carv_official, @SonicSVM, @awenetwork_ai, @soon_svm, @SoloDePIN, @GPTWars & more
• Launched @eigenlayer AVS Restaking Season 4
• Drove new partnerships and community milestones in Turkey & Dubai
• Advanced thought leadership in verifiable AI, privacy, and cryptography
Read the full report for all the details and what’s next👇
Why does verifiable machine learning matter in today's AI-driven world? 🔐
In our latest article, we break down how zkML is solving AI's growing trust problem and why it’s essential for Web3, policy, and beyond.
🧠 Read now: https://arpa.medium.com/why-verifiable-machine-learning-matters-in-todays-ai-landscape-ac521c66164e
In our latest article, we break down how zkML is solving AI's growing trust problem and why it’s essential for Web3, policy, and beyond.
🧠 Read now: https://arpa.medium.com/why-verifiable-machine-learning-matters-in-todays-ai-landscape-ac521c66164e
Here’s what we’re optimizing for in verifiable AI:
✅ Prover time < model run time
✅ Verifier time = instant
✅ Model remains private
✅ Output is provably valid
The end game: trustless AI that performs and proves.
✅ Prover time < model run time
✅ Verifier time = instant
✅ Model remains private
✅ Output is provably valid
The end game: trustless AI that performs and proves.
In Web3, trustworthy trustlessness is king 👑
ZK for AI doesn’t mean running the model in ZK
You don’t need to prove the entire model execution
You just need to prove the result came from the correct model
That’s a huge difference, and where the speedup comes from 🧠⚡
You don’t need to prove the entire model execution
You just need to prove the result came from the correct model
That’s a huge difference, and where the speedup comes from 🧠⚡
When it comes to high-stakes AI (medical, finance, etc), what would help you trust it the most?
RNG is the engine that powers Web3 in the background
Randcast = verifiable, tamper-proof RNG
https://www.arpanetwork.io/en-US/randcast
Randcast = verifiable, tamper-proof RNG
https://www.arpanetwork.io/en-US/randcast
Risk is the fee you pay for meaning. No leap, no legend.
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