Digital Master Channel

Interest in science and tech is far from uniform, even across major economies. For companies, this matters: you cannot assume the same curiosity toward technology in every market or workforce. Digital change starts from different points. Source @StatistaCharts via @antgrasso

Write "The team is making great..." and your mind already expects an ending. A language model gets there through a sequence of calculations. You draw on experience with language. The model uses patterns learned during training to work out what could follow. Microblog @antgrasso A computer needs numerical representations to process language, but assigning a number to a word is only the beginning. The model divides text into tokens, which may be whole words or smaller pieces. Each token receives a numerical ID, essentially a label that points to a learned vector of numbers called an embedding. Now comes the interesting part. As the model processes these vectors, it builds representations influenced by the preceding context. The same word can contribute differently depending on the sentence. After "The team is making great...", the model might assign a higher probability to "progress" than to "decisions" or "plans". It then selects a token and uses it as part of the context for predicting the next one. And the calculation continues. Change the preceding text, and those probabilities may change too. Even a small modification to your prompt can influence what the model generates. #LanguageModels #AI

An AI agent can initiate blockchain transactions and perform DAO operations, provided it has an authorized wallet and the required permissions. An agent can go beyond recommending an action and carry it out. People still decide the limits of that authority. Microblog @antgrasso Working with a blockchain is different from updating a conventional database. An application with database access can change records, but it cannot simply change a blockchain's shared state. Transactions must meet the rules checked by the network. The AI agent itself usually runs off-chain. It analyzes information and decides which action to request, while the blockchain validates submitted transactions and executes any relevant smart-contract code. The AI model does not perform its reasoning on the blockchain. A decentralized autonomous organization (DAO) allows a group to coordinate decisions and manage shared resources through blockchain-based governance. Despite its name, a DAO does not need AI to operate. But it can delegate specific rights or tasks to an AI agent. An agent could therefore cast a vote or initiate a treasury payment if the DAO's rules permit it. This does not mean giving the agent unlimited authority. The organization can define which actions are allowed and which still require approval from its members. Smart contracts can enforce programmed limits, although they cannot determine whether the agent's judgment is sound. The agent can act autonomously within its assigned role, without taking control of the organization's governance. #AIAgents #Blockchain #DAO