avatar
Edgy - The DeFi Edge 🗡️
302,185 Twitter followers
Follow
Systems Thinker - Sharing Crypto strategies, insights, & analysis to help you level up. Partner @Mantle_Official. DMs open for deals.
Posts
avatar
Edgy - The DeFi Edge 🗡️
04-01
It only takes 1% synthetic data to break an AI model. The problem? Most teams don't know how much of their training data was generated by another AI. The model race gets all the attention, but the data underneath it is quietly rotting. AI models are increasingly training on outputs from other AI models. At first it works, but then the details start disappearing. Judgments get weaker. That's the synthetic data loop, and it's already contaminating pipelines that don't even realize it's there. @PerleLabs is building around the opposite problem. Instead of chasing model benchmarks, they're focused on the data layer: human-verified, onchain-auditable data infrastructure built for enterprise and sovereign use cases where the source actually matters. The same "trust the source" logic carried over to their token distribution. Instead of letting bots farm the airdrop, they added palm-based biometric verification via @VeryAI to tie each claim to a real person. The real AI bottleneck won't be who builds the next model - it'll be whether the data feeding those models can be trusted at all. Pleased to partner with @PerleLabs. twitter.com/thedefiedge/status...
PALM
19.51%
avatar
Edgy - The DeFi Edge 🗡️
03-28
Nobody’s really talking about the data layer in AI. What happens when AI starts training on AI-generated data? You get faster outputs. But you also get weaker models, worse feedback loops and a bigger trust problem. Researchers already call this “Model Collapse”, performance degrades when models are trained on synthetic data repeatedly. That’s the lane Perle is going after. $PRL is live and the idea is simple: as AI scales, clean and verifiable data becomes more valuable, especially as synthetic content floods the system. Perle is building around that layer. A human-verified, onchain-auditable data for enterprise and sovereign use cases where bad inputs actually have consequences. The team comes out of Scale AI, has raised $17.5M and is going after a part of the stack that still feels underpriced compared to model hype. They’ve also tied USD1 into contributor payouts, so rewards move in a stable onchain unit instead of something more fragmented. If AI keeps scaling, the bottleneck probably isn’t models. It’s the data. Glad to partner with @PerleLabs to highlight the side of AI most people still overlook.
Perle Labs
@PerleLabs
03-25
The stamp of verification is here. $PRL is now live. Start your claim ⬇️ @PerleFDN
PRL
4.5%
avatar
Edgy - The DeFi Edge 🗡️
03-20
Another L2 token launch. Except this one raised $0, has $3.4M+ in revenue from on-chain activity, and is applying ve(3,3) at the chain level instead of a single DEX. Let’s take a look. Most chains keep revenue at the protocol layer. Katana routes it back into liquidity, yield, and active participants. If you've followed ve(3,3) on Velodrome or Aerodrome, same idea but applied across an entire chain. Stake $KAT and you receive either: • vKAT (manual): vote on where incentives flow and earn from the activity those pools generate • avKAT (automated): same loop, hands off The idea is direct incentives to drive activity to earn from what you helped create. Founding Staker mechanic: stake within 72 hours of TGE and you're eligible for a share of exit fees from the first 60 days. If early stakers leave, those fees go to you. If most hold, the pool stays small. It's a bet on early churn, not guaranteed yield. New chain, unproven model, rough market. But launching with actual revenue instead of a roadmap is a different starting point compared to others. Pleased to partner with @katana to highlight the $KAT TGE.
Katana
@katana
03-18
KAT is live. The Armory is open⚔️ Katana introduces something new: A chain that routes revenue back into the ecosystem to reward active users. At the center is KAT. Stake, vote, earn here: https://app.katana.network/stake
KAT
1%
avatar
Edgy - The DeFi Edge 🗡️
03-19
Thread
3 interesting stablecoin yields worth looking at right now. (One of them literally pays you to borrow): #1: @0xfluid - Lite USD Vault @0xfluid launched Lite USD across Ethereum, Arbitrum, and Plasma. The vault generates yield through leveraged looping on Aave. Supports sUSDe, syrupUSDC/USDT, and USDai. What's interesting isn't the number... it's the mechanic. Yield is fixed via governance. They're running a promo at ~40% right now, but the real target after promo ends is 6%. The governance-set fixed rate is the design worth paying attention to, not the temporary promo APR. #2: @yearnfi - yvUSD @yearnfi launched yvUSD, a stablecoin vault built on their battle-tested v3 architecture. Deposits route through various yield strategies, mostly Morpho and Pendle markets right now. The Yearn team calls it "anti-black box." Full transparency on where your money sits. You can verify everything the vault is doing at any time. Lock deposits for 2 weeks and you get boosted yield, currently paying ~7.5%. #3: @protocol_fx - fxMINT (the one that pays you to borrow) @protocol_fx launched fxMINT, a borrowing feature that gives you interest-free loans of fxUSD against ETH or BTC collateral. They're currently incentivizing ETH-collateral borrows with a reward APR of ~6.5%. You're not just borrowing for free. You're getting paid to do it. Here's how to stack it: • Borrow fxUSD against ETH at a reasonable LTV (50-70%) • Bridge fxUSD to Base via the native f(x) bridge • Deposit fxUSD into Morpho's fxUSD Agentic Stablecoin vault, currently yielding ~7% Net yield on that stack: ~11.5% at 70% LTV. Stablecoin yield used to mean parking USDC on Compound and calling it a day. Now you've got governance-set fixed rates, transparent multi-strategy vaults, and protocols paying you to take out loans. The infrastructure is maturing. The yields aren't just higher, they're structurally more interesting. Alright, I'm sure I'm missing a few good ones. Feel free to share below!
PAYS
0%
loading indicator
Loading..