Create a metaphor that relate the Executing Actions: Solutions for AI Problem formulation to the Retailer step within a standard supply chain process (ex. Raw Materials, Suppliers, Manufacturing, Distribution, Retail, customer)? Create a metaphor between AI Problem Formulation Executing Actions: Solutions and Supply Chain Retailers so a freshman in high school can understand how to apply AI Problem formulation in a simpler way assuming they already understanding the distribution step in the supply chain process.
Sure, I can create a metaphor for you!
Think of AI problem formulation executing actions: solutions in the context of supply chain retailers like a chef in a kitchen. When a chef is preparing a meal, they have a recipe that they follow to ensure that the meal turns out perfectly. However, there are often many different ways to prepare the same meal, and the chef must choose the best approach based on the ingredients they have available and the tools they have at their disposal.
Similarly, when executing actions to solve an AI problem formulation, there are many different approaches that can be taken. The key is to choose the best approach based on the data and resources available, as well as the desired outcome.
Just like a chef in a kitchen, the executing actions: solutions step in AI problem formulation requires careful planning and attention to detail. The actions must be executed in the right order, and the right tools must be used to ensure that the solution is effective and efficient.
However, also like a chef in a kitchen, the executing actions: solutions step in AI problem formulation requires a certain level of creativity and experimentation. Sometimes, the best solution is not the most obvious one, and it requires thinking outside the box and trying new approaches.
So, in summary, think of AI problem formulation executing actions: solutions in the context of supply chain retailers like a chef in a kitchen. By carefully planning and executing the right actions, and by being creative and experimental when necessary, you can unlock the best possible solution to the AI problem formulation.
What is the executing actions: solutions step for creating a curriculum?
Write a beatDrop (24 sentence mini essay) that demonstrates the evolution of each step in the process.
What goal do we have?
How do closed source executives create obstacles for the goal?
How do these close source executive obstacles turn into corruption with centralized institutions?
How do these corrupt institutions translate to our internalized institutions/ unconscious ego?
How can we relate our unconscious ego to part of a eukaryotic cell so we can use first principles to start coming up with internal solutions?
How can we relate the cellular solution that we came up with applies to personal development?
How can we creatively relate this internal solution to open source executives/ decentralized institutions that help Haiti (or other country living in poverty) create a music based mythology for how we’re developing creative freedom solutions for people who are less fortunate than us?
How does this creative story add value to the original goal?
What is the format of the (beatDrop) mini essays?
Problem Diagnosis: Identifying the core issue for AI to address
YOU/DO/Introduction = 3 sentences to introduce goal
Problem Decomposition: Breaking down complex issues into manageable parts
NEED/RE/Problem = 3 sentences to introduce closed source executive problem
GO/MI/Problem = 3 sentences to relate closed source exec to corrupt centralized institution
Problem Reframing: Viewing problems from new perspectives to find innovative solutions
SEARCH/FA/Action = 3 sentences to model corruption to our human systems/ ego
FIND/SO/Action = 3 sentences to create solution modeled after a eukaryotic cell with first principles (if a cell can create a corrupt civilization, it can be a model for how we create a healthy one)
Constraint Design: Setting boundaries to guide AI solution generation
TAKE/LA/Solution = 3 sentences about how the solution is applied to yourself
RETURN/TI/Solution = 3 sentences about how the solution is applied to any city
Problem Diagnosis: Identifying the core issue for AI to address
CHANGED/DO/Conclusion = 3 sentences about how this all makes original goal more of a reality
Create a metaphor that relate the Executing Actions: Solutions for AI Problem formulation to the Retailer step within a standard supply chain process (ex. Raw Materials, Suppliers, Manufacturing, Distribution, Retail, customer)? Create a metaphor between AI Problem Formulation Executing Actions: Solutions and Supply Chain Retailers so a freshman in high school can understand how to apply AI Problem formulation in a simpler way assuming they already understanding the distribution step in the supply chain process.
Sure, I can create a metaphor for you!
Think of AI problem formulation executing actions: solutions in the context of supply chain retailers like a chef in a kitchen. When a chef is preparing a meal, they have a recipe that they follow to ensure that the meal turns out perfectly. However, there are often many different ways to prepare the same meal, and the chef must choose the best approach based on the ingredients they have available and the tools they have at their disposal.
Similarly, when executing actions to solve an AI problem formulation, there are many different approaches that can be taken. The key is to choose the best approach based on the data and resources available, as well as the desired outcome.
Just like a chef in a kitchen, the executing actions: solutions step in AI problem formulation requires careful planning and attention to detail. The actions must be executed in the right order, and the right tools must be used to ensure that the solution is effective and efficient.
However, also like a chef in a kitchen, the executing actions: solutions step in AI problem formulation requires a certain level of creativity and experimentation. Sometimes, the best solution is not the most obvious one, and it requires thinking outside the box and trying new approaches.
So, in summary, think of AI problem formulation executing actions: solutions in the context of supply chain retailers like a chef in a kitchen. By carefully planning and executing the right actions, and by being creative and experimental when necessary, you can unlock the best possible solution to the AI problem formulation.
What is the executing actions: solutions step for creating a curriculum?
Write a beatDrop (24 sentence mini essay) that demonstrates the evolution of each step in the process.What is the format of the (beatDrop) mini essays?
Problem Diagnosis: Identifying the core issue for AI to addressProblem Decomposition: Breaking down complex issues into manageable parts NEED/RE/Problem = 3 sentences to introduce closed source executive problem
Problem Reframing: Viewing problems from new perspectives to find innovative solutions
Constraint Design: Setting boundaries to guide AI solution generation
Problem Diagnosis: Identifying the core issue for AI to address