AI

Bitcoin The legend of Bitcoin has shown its magic for a long time. Recently, I have started to explore this field, and this is a record of my learning. The Blockchain⛓️ The blockchain is the foundational technology of Bitcoin. Think of it as a public, digital ledger or receipt book that is shared across thousands of computers worldwide. It’s a Chain of Blocks: Each “block” contains a list of recent transactions. When a new block is created, it is cryptographically linked to the previous one, forming an unbroken chain leading all the way back to the very first block. It’s Immutable: Because each block is linked to the one before it, changing a transaction in an old block would require re-doing all the work for every single block that came after it. This makes the ledger permanent and tamper-proof. This structure is what proves each coin’s history and prevents fraud like double-spending. The Genesis Block📜 The very first block, known as the Genesis Block, was mined on 2009.01.04, by Bitcoin’s mysterious creator, Satoshi Nakamoto. This single block was the start of the entire Bitcoin network. Once it was created, the race to mine the second block began, and the chain has been growing continuously ever since. ...

2024 Nobel Physics prize was earned by Professor John Hopfield and Professor Geoffrey Hinton, to thanks their distribution on machine learning. However, I felt very suprised that why it gives to machine learning? Anyway, I hadn’t deeply find the answer in that time. Recently, Professor Geoffrey Hinton gived us a short lecture about Boltzmann machine virtually. And before the lecture, I learned Hopfield Network(the predecessor of Boltzimann machine) at my accommodation. So today I will record this moment. ...

Model Context Protocol overview MCP (Model Context Protocol) can be understood as a “universal language” for communication between AI and external tools. It’s like a translator, allowing different AI applications (such as chatbots, code assistants) and different tools (like databases, GitHub, calendars) to easily communicate without needing to develop a new interface every time. Why is MCP needed? In the past, if you wanted an AI assistant to access different tools, like a calendar, email, or task manager, you would need to develop a separate interface for each tool (function calling), which resulted in a huge amount of work (N AI applications × M tools = N×M interfaces). MCP simplifies everything: all AI applications only need to support MCP, and all tools only need to support MCP. This way, they can communicate with each other, reducing development costs (N+M interfaces). ...