A Community Manager & Crypto Hunter | Thread Writer | Web3 | Trading | Always Early |
Joined September 2022
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M̷ᴀʀᴄᴏ retweeted
Quip just hit its last major build milestone.
The QVM is live and with it Quip Accounts, QuipSwap, Node Manager and both compute subnets are now up. Compute is already running on public testnet.
One big step stands between Quip and mainnet: an external security audit of the chain's code, with the findings published afterward.
The road ahead is clear:
Chain audit → Mainnet → TGE
Shipping is one thing. Letting outsiders review the code and sharing what they find is what builds real trust. Excited to see the audit report from @quipnetwork.
$QUIP
Getting ready for quantum threats shouldn't mean leaving the chains and assets you already use.
That's the idea behind @quipnetwork and Quip Accounts. Instead of moving everything to a separate quantum-focused blockchain, you get a contract-based lockbox that works on supported existing chains. Access is authorized with hash-based post-quantum signatures.
Then there's QuipSwap. Two parties agree on a trade and lock their assets in settlement contracts on their own chains, linked by a shared secret. When one side claims, the same secret lets the other side claim too. If the swap doesn't finish, both can reclaim their assets after the deadlines.
No conventional bridge, no wrapped assets, no third-party custodian in the middle.
Quip Accounts handle post-quantum authorization. QuipSwap handles settlement through hash locks and timed deadlines. Each piece solves a different security problem.
Risks still exist, so check supported networks, fees, deadlines and recovery conditions first.
Post-quantum security works best when it fits the workflows people already have.
$QUIP
M̷ᴀʀᴄᴏ retweeted
Most platforms look at your wallet and see a list of transactions. They don't see the person behind it.
That's the gap @zerufinance is working on.
With zScore, ZeruAI reads wallet activity and turns it into reputation signals. Protocols can use those signals for credit decisions, access and reward allocation. Zaps carries the same focus on real activity over to communities and contributors.
Here's the shift I find interesting: your onchain history stops being just a record of the past and starts shaping which opportunities open up for you next.
That's why I'm watching ZeruAI closely.
More research coming soon.
A wallet with 10,000 transactions isn't necessarily a wallet you can trust.
That's the gap @zerufinance is working on. Instead of counting activity, they look at how a wallet actually behaves onchain.
Their ZerUAI layer brings together zScore, Wallet Intelligence and Zaps to act as a trust oracle for onchain finance. It helps measure real participation, spot risk and filter out artificial activity.
Good decisions in DeFi need solid data behind them, not guesswork.
The ZerUAI team is also heading to NYC for @TheTieIO The Bridge, where @Ashutosh_Sahoo will join conversations on activity markets, trust oracles and the future of onchain economies.
Going to be there?
M̷ᴀʀᴄᴏ retweeted
A smarter robot still needs a map of the world it works in.
Most of the conversation around robotics focuses on better models. But a model can't navigate a building it has never seen, or a street that changed last week.
That's the gap @vangrid_io is going after. It's turning everyday smartphones into a decentralized network that collects real-world spatial data, so physical spaces can be mapped and turned into something machines can actually use.
As humanoids move from demos into industrial workflows, this layer could matter more and more in the Physical AI stack.
Intelligence is getting better fast. Understanding the physical world reliably is the harder part.
LLMs learned from the internet. Robots don't have that luxury.
To move through a warehouse, a narrow staircase, or a busy street, a robot needs accurate 3D data about the space around it. Old maps and partial information won't cut it.
@vangrid_io is tackling this. People capture real places with their smartphones whenever fresh spatial data is needed. Privacy protection happens on the device and capture fingerprints are anchored on Base to help verify where the data came from.
The web and Android products are already live and anyone can browse the network's activity publicly.
Picture a robot requesting an updated view of a location instead of trusting a stale map. Physical AI needs its own data layer and this is a smart place to start.
Explore it: explorer.vangrid.io
