Crypto-native prediction markets spent years positioning themselves as a smarter, more useful alternative to gambling — a way to trade on information rather than spin a roulette wheel. But once sports became their dominant use case, the same products that… Read More »How Sports Turned Crypto Prediction Markets Mainstream — And Why Regulators Might Shut Them Down
After years of pilots, white papers, and conference panels, tokenization has abruptly moved from the margins of U.S. finance into the core of market-structure discussions. A cluster of concrete moves by major banks, exchanges, and policymakers in March 2026 signals… Read More »Why Wall Street Is Finally Moving on Tokenization — But Only on Its Own Terms
Introduction: Why Your Python Multiprocessing Pool Is Slower Than You Expect When I first started trying to optimize Python multiprocessing pool performance, I expected linear speedups: double the cores, nearly double the speed. In practice, the opposite sometimes happened—my multiprocessing… Read More »How to Optimize Python Multiprocessing Pool Performance and Cut IPC Overhead
Running large language models (LLMs) at 100K–200K+ context is still brutally expensive. Even architectures that use sparse attention hit new bottlenecks once sequence lengths grow into the hundreds of thousands of tokens. A new technique from researchers at Tsinghua University… Read More »IndexCache: How Reusing Sparse Attention Indices Speeds Up Long-Context LLM Inference
Bitcoin’s latest pullback is being driven by two forces colliding at the same moment: a sharp macro risk-off move and one of the largest crypto options expiries on record. What Just Happened to Bitcoin and Ethereum? Bitcoin has been hit… Read More »Bitcoin Slides as Macro Turmoil and $14 Billion Options Expiry Hit at Once