Thank you to everyone who joined us for Stable Summit! In Argentina stablecoins are actually used and not just discussed on panels. Hosting this edition in this amazing country felt just right. The sessions reflected that mix of real-world demand and ongoing innovation across

Watch the full episode here: https://t.co/yXmsuyaD5Z Hosted by @razacodes from @Scroll_ZKP on Stable School 🎓

Faster, cheaper payments are just the start. @rasoliman79 from @GMOTrust explains why the real opportunity for stablecoins lies in agentic commerce, enabling AI agents to transact autonomously, embedding stablecoins into the infrastructure of the future. This changes the game:

⚡ Local stablecoins aren’t a vanity project, they’re the missing layer for real onchain economies. @0xnesk, @tonyolendo, @guidomessi, @d_mangabeira, and @tadeongmi unpack why (wages + prices are local), what breaks today (thin liquidity + messy FX), and what fixes it

1/8 🧵Our team wrapped 5 talks on the future of DeFi @stable_summit. We dug into L2 risks, oracles, privacy, and architecture. The conclusions (with recordings) are here. 👇

The endgame: When fintech apps like Revolut / Robinhood offer “one-click onchain yield,” the default options should be: A / A+ rated strategies - the “low-risk DeFi” bucket meant for global distribution. Credora wants to be the layer that makes that possible. Catch the full

What changes for users? On Morpho, you’ll see vaults with: ▪️ projected yield ▪️ a Credora rating beside it (A+ / B / C…) So you can finally choose between: > lower yield, higher confidence > higher yield, higher risk …without needing to understand every DeFi primitive

How do they quantify market risk? ▪️ loan-to-value dynamics ▪️ utilization (10% vs 80% borrowed is a different risk world) ▪️ allocator behavior (do users actively manage collateral?) ▪️ return distribution + volatility modeling ▪️ liquidity depth / slippage curves ▪️Monte Carlo

One deep dive: oracle design (RedStone’s home turf) They distinguish between: ➛ market oracles (price from trading activity) ➛ exchange-rate oracles (mint/burn or deposit/withdraw exchange rate) ➛ hardcoded oracles (e.g., “this is always $1”) Marcin argued hardcoded feeds

The methodology is built around 3 layers: ▪️ Asset → likelihood of default + loss if it happens ▪️ Market → probability of significant loss given market structure ▪️ Vault → aggregated exposure across underlying markets So the product you deposit into inherits risk from what

What goes into the rating? A bundle of risk factors, including: 🔹 network risk 🔹 counterparty risk 🔹 smart contract risk 🔹 operational risk 🔹 oracle risk Marcin’s example: “social proof” can mislabel risk (he cited Stream Finance as a case where the crowd treated yield as

Credora’s risk rating is intentionally simple: Instead of ultra-granular TradFi ladders (BB-, BB+, etc.), they compress it to: D → A+ The goal: make risk legible for a global retail user and not just crypto natives.

Enter @CredoraNetwork (acquired by RedStone). Credora’s pitch: bring credit-rating style risk signals to DeFi strategies, so users don’t have to rely on vibes + social proof. Because “$100M deposited” isn’t a risk framework. It’s a trap.

The core user problem in 2025: Too many choices, too little clarity. ▪️ 200+ stablecoins ▪️ a growing menu of tokenized assets (bills, private credit, stocks, etc.) ▪️ hundreds of vaults/strategies (and more coming as fintech ramps in) For a normal user: “Which one matches my

“Why now?” Two big shifts: ➛ Regulation is maturing (US, Europe, Asia becoming more welcoming to compliant onchain rails) ➛ DeFi has evolved since 2021 (LSTs/LRTs, yield-bearing assets, better monitoring, and hard-earned lessons) And a key reality check: Crypto doesn’t have

The “Google Search” analogy = boring, durable revenue. Search didn’t have to be revolutionary every year. It had to be: ▪️ dependable ▪️ repeatable ▪️ widely usable That engine funded everything else Google built. Low-risk DeFi could do the same for Ethereum.

So what is “low-risk DeFi” here? Not one protocol. Not a strict definition. It’s a set of familiar primitives packaged into products a global user can trust by default: ▪️ payments + savings ▪️ fully-collateralized lending ▪️ synthetic exposure to real assets ▪️ efficient

Ethereum has always had a tension: ▪️ High-revenue, short-lived activity (leverage, hype cycles, memecoins) ▪️ High-social-value, lower-revenue apps (privacy, prediction, long-horizon public goods) Vitalik’s argument (as Marcin frames it): Ethereum needs one dependable “cash

He opened with Vitalik’s Sept 20 post and the “low-risk DeFi = Google Search” line. Marcin’s take: the tagline is catchy, but misleading without the full context. The real point isn’t “Ethereum = Google.” It’s category strategy.

Meet @redstone_defi: an oracle network powering DeFi markets with fast, reliable price delivery. At @stable_summit, co-founder @MarcinRedStone laid out a thesis that’s becoming mainstream: low-risk DeFi will be the category that wins adoption 🧵 https://t.co/BFWS4QktsW

Watch the full episode here: https://t.co/lV3406NJje Hosted by @Dmitriy17042471 from @MixBytes on Stable School 🎓