A different way to accomplish this is to use zero-knowledge (ZK) proofs. A ZK proof allows me to prove that I know some secret value that satisfies various constraints. For example, I could use a ZK proof to “prove” to some Resource that I have a signed, structured driver’s license credential. I could further use the proof to demonstrate that the value in each fields referenced above satisfies the constraints listed above. The neat thing about using a ZK proofs to make this claim is that my “proof” should be entirely convincing to the website, yet will reveal nothing at all beyond the fact that these claims are true.
According to our sources, sensitive data is not intended to be used to train the AI models.
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The compiler was QuickBASIC 3.0, QB30 to its friends. Safe to say it was not particularly good at optimizing the binary. Not that we should be overly surprised: BASIC is born to be an interpreted language, and most of its “compilers” just turn the code into an intermediate representation (P-code) and pack a virtual machine alongside it to create an executable. And yet: since this HELLO.EXE already requires us to provide a runtime module (BRUN30.EXE) we might expect the executable itself to be minimal, just carrying the P-code equivalent of the one source code line, plus the runtime loader. But, as it always happens, the devil is in the details, and reconstructing them took many days. Anyway, it was a fun experience, and it might help to enlighten QuickBASIC’s technology for the dozen people in the world that have interest in it.
You talked about it 20 years ago.
Here's a hint for today's Connections: Sports Edition categoriesWant a hint about the categories without being told the categories? Then give these a try: