Doing the right things rather than just doing things right. Focusing on outcomes over outputs. Embracing uncertainty.
Quick thoughts about myself or AI from recent learning, listening, and building.
Content may be AI-assisted.
GEO is a tricky technology because it's simultaneously a method for polluting and compromising models—something model providers don't want to see. But with such a massive traffic entry point, how to monetize it? A very interesting question.
Reflections on Sam Altman's vertical integration strategy and the uncertain future of AI—navigating the boundary between independent companies and tech giants.
Acknowledge uncertainty, embrace uncertainty, acknowledge complex variables and intricate causal logic.
Reflections on observing an AI startup project, distilling a framework for evaluating B2B SaaS competitive advantages.
Current chat interfaces are stuck in 2023 paradigms and severely limit what 2025 AI can actually deliver. We need to shift from conversational back-and-forth to command-driven agents that directly produce outcomes.
The GPT-5 Prompting Guide is a product upgrade designed to help API users build better products.
Working with the right people in a team with the right culture to do the right things is a heaven-sent happiness.
At its core, AI/LLM represents a paradigm shift where natural language becomes the universal API for computational power—transforming human intent into compute resource orchestration.
AI fundamentally boils down to decision-making systems that must own their outcomes—the real test isn't just accuracy, but accountability for consequences.
The essence of an AI agent lies in three capabilities: multi-step decision making, tool invocation, and self-iteration—basically turning single queries into autonomous execution loops.
MiraclePlus
Baidu - PaddleOCR
MicroFun
Vizzy AI Lab
Linvest21
Self-Drive Lab | New York University
AI for Scientific Research Lab | New York University
New York University
NYU TRIO Program
Carnegie Mellon University
New York University