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just using this issue to keep track of my dumb ideas
- imperative implementation in the lambda calculus
- latex macro
- import python's @lru_cache decorator to implement caching for you
- scrape the internet for a result
- Deep learning model that estimates the Nth fib number
- Power point
- "Multi-threaded" with shared cache in Viper
- Use ANTLR. The AST is the representation of naturals. The generated visitor is instrumented to implement Fib
- Web app that visualises fib
- An AWS mapreduce lmao
- Fuzzing on a fib sequence validator to learn fibonacci
- fib as a macro that expands to a very simple ast that is compiled to nested lambdas that is interpreted with an application
- LOGISIM
- OCR pngs containing N -> pngs containing fib N
- SM213!
- A document of requirements for fibonacci like a team lead might give a developer
- closed form in math
- build some graph of numbers, and return an MST where the weight function encodes the properties of fib. ie, the MST is the fib sequence to N
- SQLite database where you upsert to implement cached fib
- same as above but mongo
- meta-fib: invokes a random fib from the fib repo
- low gas solidity (but not actually)
- fibonacci's game of life (like Conway's but with Fib inspired rules)
- distributed rabbits (a distributed system modeling conway's rabbits)
- human in the loop but without validation
- over some n, just return a random big number (because who is checking lol) on the order of
$1.52^n$ - fib chain (block chain duh)
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