Crespyl
Joined 11 years ago
Joined 11 years ago
I find it acts a little like being able to see the cursor on a desktop or laptop; it provides a little bit of immediate feedback that the system recognized your intent, and helps make it clear whether it's the OS or just the app when things are getting laggy.
I know of a couple channels that do that, though it seems like there's a requirement to add a little extra bit on the end for the Nebula side.
I don't think a good learning resource gets worse just because there's a newer alternative.
The fact that so many people are now running around with "agentic" software that fundamentally can't distinguish between their own "thoughts"/rules and untrusted user input doesn't turn a meme into malware.
Token predictors by themselves are fundamentally insecure, and cannot be made secure without a strong semantic world model. It's like `eval`-ing everything, or auto-coercing strings to objects or function calls, vs having a strong static type system.
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Hah. I expect to see a lot of more of this kind of thing in the future, at least until someone works out how to integrate LLMs with a more structured approach to AI. We can't get away with just asking the prediction machine to "do what I mean, please and thank you."I make a lot of use of my local library through the native Overdrive integration.
The ++x is a "pre-increment", meaning the value of the variable is incremented prior to evaluating the expression, while the "post-increment" "x++" is the other way around: the expression evaluates to x, then x is incremented afterwards.
All expressions are left-to-right.
I don't have any reason to believe that similar projects won't work for the new version.
The Zoidberg Shuffle?
Battery life in sleep (and in general) could be better, but on the whole I've been quite happy with it.
Laptops aren't generally being used in the same areas as cars though, so you wouldn't expect to see as many cases involving Windows Hello compatible laptops/cameras.
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