2nd place with a $75,000 prize is Forg3t Protocol.
@Forg3tProtocol is an AI unlearning protocol where companies run machine unlearning jobs, generate auditable evidence reports, and publish the proof permanently on Avalanche.
The onchain AI model training and unlearning sector is one of the fastest emerging markets in the entire industry.
Check it out here: https://t.co/wQy182tBGw
@puckrin Agent appetite for transactions ≠ onchain TPS demand.
Markets net. Agents batch. Settlement compresses.
We learned this in TradFi decades ago.
1B TPS is a scaling fantasy unless you’re confusing execution with settlement.
@Logos_network@Logos_devs Modular infra + structural privacy + own-your-stack ethos.
If this executes well, it’s bigger than “another L1”.
A pleasure to talk to you folks 🖖
@VitalikButerin The teams that design for recursive aggregation now won’t have to migrate later.
Quantum safety is an architecture test, not a crypto patch.
Lets see how all of this unfold, is there a timeline out there ?
@pashov@zayn4pf EVM is ahead, and that means it absorbs both innovation and mistakes.
But when you’re working with evolving tooling and such uneven skill distribution, it’s tricky to attribute outcomes purely to the VM design rather than to builder maturity.
Let alone vibe coding anything.