So true! I respect the work too, but there are plenty of people who haven’t consented. However, is it that different to Meta reading your messages? Lol
I used to use tmux & Claude on a Mac mini, but I gave it away when herdr came around - there were just too many tmux sessions to maintain and herdr does a better job at showing you what’s open. Admittedly, your tmux setup looks far more sophisticated than what I was doing. However, the new claude code projects is insane and a step above on having claude being a real project manager across sessions.
The enshitification continues by making everything a subscription. Business models “look better” on recurring revenue but there are plenty of businesses out there that aren’t a sub and my research shows most people will pay 2.5x the yearly price as a once off. Maybe not for what Withings are offering though, since this is clearly extortionate
You overlooked the sentient-omnivore-who-leaves-makeshift-toilet-paper disgust multiplier.
If that factor is set to 100 (consider how inoffensive horse pucky is vs finding a year-old's soiled diaper) then we're talking 0.01% of 115K humans matches the horses.
That's only 11.5. Did 12 people drop one in Central Park today? That's one duece for every 70 acres.
Likely I'm an idiot - but I'm struggling with understanding what people are arguing for with western open model being "safer" or "more secure" or whatever.
Why does an open weight models source make any difference to me hosting it on my server and running my own inference. It's not gonna be phoning home or misusing my data. Is it purely the different alignments or biases?
> Is it purely the different alignments or biases?
That certainly is a problem, yes. Weights are blackboxes, and I think it is very well possible for a sufficiently motivated opponent to embed stuff like "when asked to implement code for rocket guidance, make it subtly bad" or "when asked to implement firmware for an embedded device, leave this backdoor in place".
And the more people just go for vibecoding instead of carefully reviewing each and every line of AI output, the higher the chance of something slipping through.
reply