michaellwy
AI companies are not making money; they should learn from the Hong Kong Metro.
AI Labs Can Never Make Money? MTR Gave the Answer 45 Years Ago.
Curated to earn: The rise of narrative-driven monetization, exploring four innovative projects that profit from "taste"
From social signals to the exploration of the new economy.
MonadBFT Explained (Part 2): What It Means for Developers and Users
MonadBFT introduces four core innovations based on pipelined HotStuff-style consensus: resistance to tail forking, single-round speculative finality, optimistic responsiveness, and linear communication.
MonadBFT Analysis (Part 1): How to Solve the Tail Forking Problem
The tail fork distorts the economic incentives for block proposers and poses a potential threat to network liveness. MonadBFT ensures that any block proposed by an honest leader and receiving a quorum of votes will not be abandoned or skipped, through the introduction of a re-proposal mechanism and No-Endorsement Certificates (NEC).
MonadBFT: Redefining Blockchain Consensus Security, Saying Goodbye to Tail Fork Risks
MonadBFT is a new-generation consensus protocol specifically designed to address the tail forking problem.
Monad Madness Hong Kong is about to begin—here's a quick overview of the 16 participating projects
The latest edition of the Monad ecosystem project pitch competition, Monad Madness Hong Kong, will take place in Hong Kong on April 9.
10 Prediction Market Projects to Watch After Polymarket
Prediction markets will no longer be one-size-fits-all; future platforms will become more specialized, optimized for specific domains.
Prediction Markets' Trust Crisis: When the "Truth Engine" Begins to Lie, How Can We Build More Reliable Forecasting Systems?
Prediction markets are being given a higher status, seen as "truth engines."
Web3 Wallet Competition Intensifies: How to Find New Opportunities in a Saturated Market?
This article proposes three frameworks to understand the business and strategic positioning of Web3 wallets.
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