Voyager - Why Did AI Begin to Grow?
ChatGPT does not learn from experience. Knowledge from today's conversation disappears tomorrow. But in 2023, NVIDIA researchers changed that inside the Minecraft world. An AI began to explore on its own, acquire skills, and grow.
ReAct - Why Did AI Begin to Act?
ChatGPT looked intelligent. But was it doing anything more than generating text? Researchers noticed a crucial gap: AI could answer questions, but it could not act on them. That limitation changed everything.
Reflexion — What Happens When AI Learns to Reflect on Its Mistakes?
Language agents learned how to reason. They learned how to act. But they still struggled to learn from experience. Reflexion attempted to solve that problem through a surprisingly simple mechanism: self-reflection. And it actually worked.
Generative Agents — The Moment AI Started Living a Life of Its Own
What would happen if AI agents could remember yesterday? Not just facts — but experiences, people, conversations, and relationships. In 2023, Stanford researchers found out. The answer changed how we think about AI agents forever.
MemGPT — Why Does AI Forget? The Paper That Tried to Give LLMs a Memory OS
AI is remarkably intelligent. Yet at the same time, it is surprisingly forgetful. MemGPT, published in 2023, attempted to give LLMs a memory hierarchy — the ability to remember, recall, and manage information over time.
Attention Is All You Need — Why AI Suddenly Got So Good
In 2017, a team at Google made a provocative claim: you don't need memory, recursion, or complexity. You just need Attention. That idea became the foundation of every major AI system built since.
The Long Road to LLMs: How a Translation Problem Accidentally Created the Modern AI Revolution
Researchers weren't trying to build ChatGPT. They were trying to fix machine translation. What happened next was an accident — and possibly the most consequential one in computing history.
Inherited Flaws: How LLMs Structurally Reproduce Human Cognitive Limitations
A forthcoming paper mapping 250 human cognitive shortcomings to corresponding LLM mechanisms — and arguing that RLHF optimizes for comfort, not truth.
Why AI Systems Forget — And Why It Matters
Every conversation with an AI starts from zero. This is not a bug — it is a structural feature. And it has profound implications for how we think about AI as a long-term partner.