Andrej Karpathy is experimenting with a different way to give large language models durable memory: not with vector databases and classic RAG stacks, but with a living Markdown wiki that the model itself maintains. For AI engineers and architects wrestling… Read More »Inside Karpathy’s LLM Knowledge Base: A Markdown-First Alternative to RAG for Autonomous Archives
Bitcoin’s latest rally has been running with a powerful tailwind behind it: a record build-up of margin debt in U.S. securities accounts, emerging recession signals, and a growing U.S. Treasury buyback program that is reshaping some of the macro plumbing… Read More »Bitcoin’s $1.2 Trillion Margin Tailwind: How Leverage, Recession Fears, and Treasury Buybacks Shape the Next Move
Perpetual futures sit at the center of crypto’s derivatives engine, and in early 2026 regulators on both sides of the Atlantic moved decisively to define how, where, and at what leverage those products can be traded. The result is a… Read More »Crypto Leverage Diverges: U.S. Traders Chase 10x While Europe Reclassifies Perpetuals
As AI teams move from experimental chatbots to production-grade, tool-using agents that run for weeks or months, retrieval-augmented generation (RAG) is starting to show its limits. Latency, retrieval complexity, and unstable prompts are colliding with real-world requirements like predictable costs… Read More »How Mastra’s Observational Memory Beats RAG for Long‑Running AI Agents
Bitcoin’s rapid slide from above $70,000 toward the $60,000 area in early February delivered the kind of volatility that forces traders to ask a familiar question: was this a classic capitulation low or simply a leverage reset in an overextended… Read More »Bitcoin’s Sharp Pullback: Capitulation Signal or Just a Leverage Flush?