ViewTube

Training large language models gets the headlines—but inference is where real-world performance, cost, and scalability are won ...

Blockchain security is not enforced by code alone—it is enforced by capital at risk. The Capital Shield explores how economic ...

As blockchains scale, execution becomes the bottleneck—every node redundantly re-running every transaction.

Most blockchains rely on timing assumptions—eventual synchrony, bounded delays, or coordinated rounds—to make progress.

As AI systems influence critical decisions, trust in how computation is performed becomes as important as the results themselves.

As LLM deployments scale from single models to fleet-level platforms, serving architecture becomes a systems problem—not just ...