jwjohnson314

Out of curiosity, how long ago were those incidents? Seems crazy for such well-known areas with guidebooks and extensive documentation on mountain project.

Really? In 30 years of climbing I’ve never run into territorial locals. Surfing, on the other hand, can be pretty hostile.

And sell some puts against assets at good prices to harvest premium in the meantime

Can you elaborate on this? I am curious what processes are being simulated to feed the network.

The lack of screen time limits on the Apple TV just demonstrates Apple's complete lack of credibility in this area too.

And the parental controls on their other devices are illogical and remarkably buggy. Clearly not a priority.

> The salt in the wounds is that universities are flush with cash, yet its spent on anything and everything except for the welfare of the students.

Maybe the elites. State schools and small colleges are not flush with cash and many have been shuttered or severely downsized recently. Though they could still spend their limited funds better.

This is remarkably dystopian. ‘Bought our tv? We are going to show you ads and you can’t even turn it off’

And no evidence - literally nothing - presented to support the idea of looming AGI except ‘some people in the business/in the government said so, and I believe them.’

I think of hallucinating as a phenomenon where the model makes up something that appears correct but isn’t. Citations to papers that don’t exist, for example. Regurgitating training data (which may or may not be correct) is a different issue.

The interesting thing here to me is that the llm isn’t ‘hallucinating’, it’s simply regurgitating some data it digested during training.

PyTorch is just much more flexible. Implementing a custom loss function, for example, is straightforward in PyTorch and a hassle in Keras (or was last time I used it, which was several years ago).