WEEK 4 RECAP Week 4: Inside Quantumnet. We’ve now seen that post-quantum @tezos is much bigger than a new wallet key. Quantumnet experiments with: tz5 + ML-DSA-44 for user accounts. XMSS for experimental consensus keys. STARK aggregation for post-quantum attestations. ZODA for data availability. And alternative approaches to randomness. The important word is: experiment. Quantumnet isn’t the final answer. It’s a way to discover what the answer needs to look like. Next week: What would it actually take to build a quantum-resistant Tezos?

What is a prediction market? Prediction markets aren’t just about guessing the future. They’re about turning opinions into positions with measurable outcomes. Here’s how they work: 1- Identify an event. 2 - Choose a possible outcome. 3 - Commit capital to your prediction. 4 - Wait for the event to resolve. 5 - Receive a payout if your prediction wins. The interesting part is how market participants collectively express their expectations. Platforms like @sight_hood bring this experience onchain. Understanding the mechanics matters more than simply picking a side. Question: Would you rather predict short-term crypto prices or longer-term real-world events?

What if quantum readiness requires changing the architecture, not just the algorithm? Randomness is another interesting part of @tezos’ Quantumnet experiment. Blockchain consensus needs mechanisms to determine participation and selection fairly. Historically, Tezos has used verifiable randomness involving a Verifiable Delay Function (VDF). Quantumnet explores a different approach: Smooth Weighted Round Robin (SWRR). Why does this matter? 🔸Identify the dependency: Understand which cryptographic mechanisms could become vulnerable. 🔸Question the design: Does the existing architecture still make sense? 🔸Explore alternatives: Consider different mechanisms rather than simply replacing one algorithm with another. 🔸Test the new approach: Evaluate its security, fairness and performance. The bigger lesson? Post-quantum readiness isn’t always about upgrading cryptography. Sometimes, it’s about redesigning the system around its vulnerable dependencies. That’s the kind of architectural thinking that makes Tezos’ Quantumnet experiment worth following. One person worth checking and following about this is @chrispinnock Should blockchains prioritise replacing vulnerable algorithms or rethinking the architecture that depends on them?

Systematic trading isn’t about predicting the next candle. It’s about defining rules, testing them honestly, and only then deploying capital. The hard part is rarely the idea. It’s the validation: • In-sample vs out-of-sample splits • Transaction costs, slippage and funding rates that actually match live conditions • Survivorship and look-ahead bias removed • Performance across different market regimes, not just the one that looks good in a backtest AI can generate hypotheses faster than ever, but it doesn’t magically fix a poorly constructed test. The edge still comes from process. Programmes that reward reproducible work, disclosed assumptions and even negative results over pretty equity curves are useful. The rest is just content. If you’re applying or already building in this space, what’s the single most common backtesting failure mode you still see?

A stronger signature doesn’t automatically mean simpler security. XMSS introduces a trade-off worth understanding. It is a stateful hash-based signature scheme. But what does that actually mean? Three things matter: 1️⃣ Track usage: The system records which one-time signing positions have already been used. 2️⃣ Never reuse incorrectly: Reusing a signing position can compromise security. 3️⃣ Rotate keys: XMSS keys have a limited signing capacity. Key management and rotation are essential. Quantumnet uses XMSS for experimental consensus participation, making this an important part of Tezos’ post-quantum research. The bigger lesson? Post-quantum security isn’t just about stronger cryptography. It’s also about adapting the way we manage keys. Here’s a question: Would you prioritise quantum-resistant cryptography first, or the operational systems needed to manage it safely? Check @tezos as the blockchain is already getting ready.

What if making a blockchain quantum-resistant means making every signature much bigger? That’s one of the challenges behind @tezos’ experimental tz5 account type on Quantumnet. Here’s the breakdown: 🔹The change: tz5 uses ML-DSA-44, a post-quantum digital signature scheme. 🔹The security: ML-DSA is based on different mathematical assumptions from the elliptic-curve cryptography used by many classical signatures. 🔹The trade-off: Post-quantum signatures are generally larger, increasing the data that transactions must carry. 🔹The test: Can Tezos strengthen its cryptographic defences without making transactions too costly or cumbersome? 👉 That’s why Quantumnet matters. It gives developers an experimental environment to test these trade-offs before considering changes to the mainnet. The real challenge isn’t just quantum resistance. It’s making it practical. Would you prioritise smaller signatures or stronger post-quantum security when designing a blockchain for the future?

AI doesn’t need to predict the market. It can help you spot what you might miss. Funding rates can differ across perpetual trading venues. Monitoring those gaps manually takes time. @get_truenorth’s Arbitrage Scanner helps identify funding differences and supports points-related workflows. The practical approach: Detect: Find a potential funding gap. Compare: Check rates, fees and trading conditions. Evaluate: Assess whether the opportunity makes sense. Verify: Review the risks before taking action. A detected gap isn’t guaranteed profit. It’s a signal worth investigating. Try it here: https://t.co/dJDbawb51F What would you check first when evaluating a funding-rate gap: fees, liquidity or holding costs? Visual is not representative of the website.

More trading venues don’t automatically mean better decisions. They can also mean more dashboards, fragmented liquidity and more information to track. The challenge is managing that complexity without multiplying your workload. A practical framework: Compare liquidity and available markets. Monitor positions and exposure across venues. Evaluate fees, funding and execution risks. Standardise your process for entries, exits and invalidation. @get_truenorth is expanding beyond its initial Hyperliquid focus, with integrations including Ondo Perps and Lighter. The bigger opportunity is an agentic trading layer that helps bring market intelligence and execution workflows together. If you trade across multiple venues, what takes the most time: finding opportunities, monitoring positions or managing execution?

What happens when today’s secure cryptography becomes tomorrow’s weakness? The answer isn’t just choosing a stronger algorithm. It’s building systems that can adapt. This is called cryptographic agility. It means designing protocols so cryptographic algorithms can be replaced without rebuilding the entire system. Why does this matter? → Algorithms evolve: new vulnerabilities can emerge. → Standards change: better alternatives may become available. → Migration takes time: systems need a practical upgrade path. → Quantum threats add urgency: post-quantum cryptography will also continue to evolve. The goal isn’t to predict which algorithm will last forever. It’s to avoid depending on one forever. That’s an important lesson for blockchain design, and one reason @tezos’ ongoing protocol evolution is worth following. Can a blockchain truly be future-ready if its cryptography cannot be upgraded easily?

Quantum migration isn’t just a cryptography problem. It’s a coordination problem. Imagine a blockchain with millions of accounts. Some are active. Others are abandoned. Some users have lost their keys. Exchanges, institutions and smart contracts add further complexity. How do you migrate everyone to quantum-resistant cryptography? You need more than new algorithms: • Technology: Build and test new cryptographic systems. • Incentives: Encourage users to migrate. • Communication: Make the process clear and accessible. • Governance: Agree on timelines and network-wide changes. @tezos makes this challenge especially relevant as its ecosystem explores post-quantum readiness. Because upgrading cryptography is one challenge. Coordinating an entire ecosystem to adopt it is another. How should a blockchain handle accounts that never migrate: protect them indefinitely, restrict them eventually, or find another solution?