‘Context’ is needed to plan or predict. If someone, or something knows a lot about a subject, they can infer certain things based on the context given to them. The process of inferring something based on context is called inference.
“We use sandboxed environments to isolate, capture, and propagate context between systems. This contextual data is then fed into various models to enable informed inference and prediction.”
Context shapes how we do things.
Bet some tokens
Learn where to take your ‘context’. Some context can be turned into instructions. The way the game is played is that you bet that you have good enough context, that each time the inference iterates with your context, the model will use it to build toward a result that is more valuable to you than the cost of getting the ‘context’ and the tokens used in the iterations. So you can see how you should bet. If the instructions you get really pay off, I mean can be executed by something that creates value. Put as much ‘context’ and as many ‘tokens’ on the table as you can.
Collect context, Use a model (inference), Get instructions, Get a machine to run instructions.
Ready to use instructions
