The thinkers, researchers, and creators worth following. Signal over noise.
30+ years in global macro and quantitative finance. Known for data-driven market analysis, behavioral alpha research, and thinking at the intersection of markets and technology. Active on X, YouTube, and Substack.
Practical AI content focused on building real tools and automations. Covers AI workflows, agents, productivity systems, and how to actually use the latest models. Straight-to-the-point tutorials for people who want to ship, not just learn.
The go-to daily briefing on artificial intelligence news — what matters, why it matters, and what's coming next. Nathaniel Whittemore covers AI industry developments, model releases, policy, and business impact in a concise daily format.
MIT researcher and host of the Lex Fridman Podcast — long-form conversations with the world's greatest minds in AI, science, history, and philosophy. Guests include Elon Musk, Sam Altman, Yann LeCun, and dozens of leading researchers and engineers shaping the future.
One of the world's leading industrial AI research labs. Publishes cutting-edge work in deep learning, computer vision, robotics, generative AI, physics simulation, and autonomous systems. Home to research behind DLSS, NeRF, and many foundational neural network advances.
The official NVIDIA blog covering product launches, AI breakthroughs, GPU technology, gaming, data center innovations, and developer news. First stop for anything announced directly from NVIDIA — from new GeForce cards to enterprise AI platforms.
AI-focused YouTube creator covering the latest tools, models, and practical workflows. Breaks down complex AI developments into actionable content for builders, creators, and anyone looking to stay ahead of the curve.
Active AI practitioner sharing insights on the latest models, tools, and developments in the AI space. Known for cutting-through-the-noise takes on what actually matters in AI — from model releases to real-world applications and agent systems.
Sharing practical insights on AI tools, workflows, and the latest developments in the space. Focused on helping builders and creators get the most out of AI — from prompting techniques to agent frameworks and emerging models.
Independent blog on software engineering, systems design, and deep technical ideas. Known for the Personal Agent Ontology (PAO) — a formal 115-class ontology mapping the shared architecture of personal AI agents across OpenClaw, Claude Code, LangGraph, Letta, and MCP.
Chinese AI lab building frontier multimodal and language models. Released MiniMax M2, an open-source LLM purpose-built for agentic workflows at 8% the cost of Claude Sonnet. Strong on long-chain tool-calling, coding, and agent execution — worth tracking for cost-effective AI alternatives.