Interview, Fireside Chat
Five Open Problems for the Blockchain Computer
- Core Thesis: Crypto represents a fundamentally new paradigm of computation where trust is not centralized in a single entity but emerges bottom-up from a decentralized network of participants, shifting the primary value proposition from "performance" to "trust."
- Scalability Metrics: The industry is moving away from "transactions per second" as the primary metric; the correct framing for decentralized computing is "instructions per second" (throughput), "latency to finality," and "cost per instruction."
- Network Latency Constraint: The speed of light imposes a hard lower bound on message propagation in distributed systems; current implementations are far from this limit, leaving significant room for improvement via new networking layers.
- Infrastructure Innovations: New "Blockchain Distribution Networks" (BDNs), such as BlocksRoute, function as a layer-zero CDN optimized for fast message propagation, aiming to reduce the block time and propagation delays that currently bottleneck throughput.
- Consensus Evolution: Proof-of-Work (PoW) relies on expensive extrinsic resources (electricity) to secure the network, whereas Proof-of-Stake (PoS) utilizes intrinsic resources (native tokens) to achieve similar security with drastically lower costs and energy consumption.
- Decentralized Storage: Protocols like Filecoin, Sia, and Storj enable decentralized storage marketplaces by utilizing "Proofs of Retrievability," cryptographic mechanisms that mathematically verify a provider is actually storing files without relying on a central authority.
- Storage Economics: Decentralized storage is not positioned to undercut centralized giants like Amazon on raw price for commoditized data; its value lies in removing single points of control and censorship resistance for applications where trust is the bottleneck.
- Distributed Networking: Early attempts at mesh networking (e.g., Fon) failed due to density and incentive issues; current crypto projects aim to incentivize bandwidth sharing via native tokens to create resilient, censorship-resistant internet infrastructure.
- Application Trajectory: The most viable early applications are in finance (lending, derivatives, decentralized exchanges) and gaming, specifically where assets (characters, gear, collectibles) can be owned by users and made interoperable across different platforms.
- Identity Gap: Web 2.0 relies on social capital (reputation, reviews) for trust, while Web 3.0 currently relies on financial incentives; a key future development is bridging these models to create verifiable identities (e.g., via Keybase) that preserve privacy while enabling reputation systems.
- Governance Challenges: Decentralized protocols face the same unresolved governance dilemmas as nation-states (voter participation, attack vectors, upgrade coordination), with experiments ranging from informal stakeholder consensus to on-chain token voting mechanisms.
- Market Opportunity: The sector is described as being in its "early days" (comparable to the mid-1990s internet), with many core computer science problems regarding distributed systems, networking, and cryptography remaining unsolved for engineers to tackle.
- Future Outlook: While decentralized systems will inherently be more expensive and slower than centralized ones, they are projected to dominate use cases where "trust" is the primary constraint, complementing rather than replacing the centralized web.