Saying that von Neumann was one of the first game theorists undersells it.
He wrote the original book on game theory! The Theory of Games and Economic Behavior with Oskar Morgenstern.
Relatedly, MAD was his conception as well.
813 karma · joined October 18, 2018
He wrote the original book on game theory! The Theory of Games and Economic Behavior with Oskar Morgenstern.
Relatedly, MAD was his conception as well.
I thought eating the skins on kiwis was normal
And probing the universe outside the Milky Way? Forget about it.
Well, if they observed not only a planet orbiting the star but also the planet's atmosphere, it must not be a very "distant" star.
As you pointed out, you don't have a lot of help in raising your kid. You're expected to do it mostly with your partner (or god forbid alone).
They've done some studies of hunter gather tribes to determine who handled babies the most. Turns out the kids' actual parents only handled the kids for about half the time (I think even a little less)! The term for it is "alloparenting".
Evolution did not prime us for this level of child care. Good luck to you!
Each phase writes to `./.agents/plans/{plan-name}/` in the project root. All in Markdown. That way, the flow is agent-agnostic. Each phase artifact is immutable after being written.
More details:
First, I put all the information that I have (documents, client statements, any code, my own summary, etc.) into a document. Which I pass to the discovery planning skill.
The discovery phase more formally defines the project in terms of functional requirements, non-functional requirements, constraints, risks, and assumptions. This might take a few passes to get everything nailed down.
After that, I being a implementation planning phase using the discovery artifact (`discovery.md`). We define the work in terms of phases, where each phases has various tasks associated with it (all checkboxes). Again, usually requires a few passes.
After that, I have a clear idea of the work needed and can send an estimate to the client. Or, if it's a personal project, get started actually building it. I have another phase for actual implementation.
Verification and review are similarly defined. They can be done by any agent.
Creatine recycles adenosine back into ATP, so less adenosine builds up. The amount of creatine you find in foods naturally is way less than the amount people are supplementing with.
So it makes sense physiologically why mega doses of creatine might negatively affect sleep.
Imagine you're a contractor. You have a client who knows nothing about software development that wants you to write some software for them. They give you some code they generated with an LLM to get you started. Would you use the code or start over?
- Water on Mars: confirmed 2004 - Organic molecules on Mars: confirmed 2018 - Complex organic molecules (e.g., DNA precursors) on Mars: 2026
We now know for certain that it is possible for complex organic molecules to be preserved for ~3.5 billion years on the Martian surface.
The big question everyone wants to know is if life ever existed on Mars. Now we know that it's possible for that question to be answer, since we have confirmation of complex organic molecules actually being preserved.
This legitimizes future missions/spending on life searching missions to the Martian surface.
Unless you're actively working through a bunch of problems/examples, reading most books is a form of passive learning. That is, you are simply being told information. The Little Schemer is the only book I know of that is written almost entirely in the form of increasingly intricate questions to the reader (active learning). There are maybe about two dozen or so statements ("Laws" as the author calls them). Everything else is a question in an extended Socratic dialogue aimed at refining the reader's knowledge of Lisp, how computation arises from recursion, computation in general, and lambda calculus culminating in the y-combinator.
The Little Schemer is the most unique, most fun, most educational (in the sense that it _forces_ you to work your way through it) book that I've read. Moreover, it's a great way to grasp computation in a more abstract sense.