An homage to Karpathy

Andrej Karpathy gave a generation of builders more than technical explanations. He gave us language. He made neural networks feel legible without making them feel small. He explained the machinery, then kept pointing at the human shift around it: new interfaces, new workflows, new kinds of programming, new responsibilities.

That matters. Naming a thing helps people notice it. Whether it is software 2.0, vibe coding, or the idea that English is becoming a programming surface, Karpathy has repeatedly helped the field feel the future a little earlier.

Supporter one: AutoResearch

The first AI supporter I want is AutoResearch: a research companion that never pretends to be the final authority, but constantly improves the quality of the questions. It gathers source material, contrasts viewpoints, finds gaps, tracks uncertainty, and turns scattered curiosity into a map.

The value is not just speed. It is momentum. A good research agent keeps the thread alive when a human would normally drop it between meetings, tabs, and half-written notes.

Supporter two: Second Brain

The second is Second Brain: an AI layer over memory, decisions, writing, projects, and unfinished ideas. Not a chatbot bolted to a folder. A genuine thinking surface that knows what you have tried, what you believe, what changed your mind, and what still needs work.

This is where Karpathy's influence feels personal. He made it easier to imagine AI not only as automation, but as an amplifier of thought. Not a replacement for taste or effort, but a companion for people who want to think more clearly and build more bravely.

That deserves recognition. The best educators do not just explain the present. They make the next room visible.