Wouldn't want people to start calling her a maverick. That doesn't usually go well for candidates.
shutz
joined 1 year ago
My headcannon for this is that spaceships in that universe are to those people what cars are to us. If you know the basics of driving a car, you can drive most cars, though the bigger ships might get more complicated (I've never seen one of our heroes try to back up a star destroyer into a starbase to help with their buddy's move.)
Yeah, but no one can escape the gravitational field of your mom.
(Sorry, couldn't resist, as I half expected your comment to end with a "your mom" joke)
pushing
LOL, good one!
It's not density, it's mass. A mass of 1kg compressed to the density of the Sun's core would pull the Earth with just as much force as a 1kg ball of styrofoam.
You can do that today. Just ask Chat-GPT to write you a bash script for something non-obvious, and then debug what it gives you.
So, 16 50-cents, with some change left?
Being in prison would be a good one.
I only take medicine when the symptoms literally prevent me from functioning or threaten my life. With fever, I actually wrap myself up to keep warm, which lets my body "rest" instead of working to raise my temperature. This approach appears to have helped me get through many infections quickly, though I admit this is anecdotal.
Can you imagine that courtroom if he wasn't wearing a diaper, though?
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I don't like the idea of restricting the model's corpus further. Rather, I think it would be good if it used a bigger corpus, but added the date of origin for each element as further context.
Separately, I think it could be good to train another LLM to recognize biases in various content, and then use that to add further context for the main LLM when it ingests that content. I'm not sure how to avoid bias in that second LLM, though. Maybe complete lack of bias is an unattainable ideal that you can only approach without ever reaching it.