Anyone know what the current state of super optimization compilers is?
376 karma · joined June 30, 2014
mail: davidrusu.me@gmail.com
Anyone know what the current state of super optimization compilers is?
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Technologies: Python, Java, Ruby, Docker, JS, React, Marionette, Backbone, Haskell,
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Email: davidrusu.me@gmail.com
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Website: https://davidrusu.github.ioAuth was a pain as you had to write triggers for each table action to check that a user can access a record, but this new row level security will make things easy.
Flux/React are actually quite simple and I can put the core architecture together in under 50 loc of Elm.
I had do decide on a hashing scheme recently and ended up going with Bcrypt just because of how new Scrypt is.
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Construct a set of discs in R^2 s.t. no infinite straight line can be drawn without intersecting at least one disc, and the sum of the areas of all the discs is finite.
We know that implicit state and mutation are terrible in the programming world why not extend that philosophy to your entire OS?
You might be missing some packages so make sure to check this:
http://nixos.org/nixos/packages.html
before installing.
It's still early for NixOS, the OS is solid but it's likely you'll need to package up a program or two (but it's not difficult)
I built this addon for people who want to improve their typing while reading the websites they usually do.
It lets you select some text (like the inspect element selector) and do a typing test starting at that point on the page.
It'll be like we are kids again, watching the AI's going about their grown up business.
Can't wait! :)
If The Predictor suspects you will choose just box A, it'll put 1 million in box B and 1 thousand in box A, if it suspects you will take both A and B, it will put nothing anything in box B and 1 thousand in box A.
So now you standing in front of the two transparent boxes. You see that there is $1 million in box B, yet you still take just box A?
The player is the AI, and the predictor is the AI programmer.
The AI programmer can look into the innards of the AI ie. the source code and can thus predict with high accuracy what the AI will do.
What is a winning strategy for the AI?
Or taken another way, you can have AI's that have access to each other's source code and are competing for some scarce resource, how do you design an AI that 'wins' when it's behaviour is known it's opponent?
There are other threads that discuss the merits of Haskell
Under this interpretation, being conservative is the cause of both circumcision and low hiv rates, and circumcision is negatively correlated with hiv rates.