And you’ll note that the likely outcome of this, supported by most people on this platform, is to advantage them and their models by banning/suppressing capable open models of the sort that the people they targeted had to use to defend themselves. For Safety™. Maybe they’re aligned just fine.
Sounds like your solution to alignment is “if it’s not aligned, switch to a random different model instead”. Which would make sense if we could expect that a nontrivial fraction of models turns out to be magically aligned, so it’s just a question of sufficient shopping until we find one of them.
If the model is instead that by nature almost all models are misaligned, and we need to work hard to align them, then this only means throwing the existing work away and starting from anew, only with increasingly more powerful models.
It’s not magically aligned, it’s pointed in a random direction, and if you have choices, as long as you’re not too picky, you can find one that’s pointed in roughly the right direction along the few axes you care about on any particular task, instead of being forced to use the few that are adversarially crafted by the closed model producers at great expense to be opposed to you on every relevant axis.
And you’ll note that the likely outcome of this, supported by most people on this platform, is to advantage them and their models by banning/suppressing capable open models of the sort that the people they targeted had to use to defend themselves. For Safety™. Maybe they’re aligned just fine.
I use open source models every day, but yes everyone being able to do this is obviously even worse.
Sounds like your solution to alignment is “if it’s not aligned, switch to a random different model instead”. Which would make sense if we could expect that a nontrivial fraction of models turns out to be magically aligned, so it’s just a question of sufficient shopping until we find one of them.
If the model is instead that by nature almost all models are misaligned, and we need to work hard to align them, then this only means throwing the existing work away and starting from anew, only with increasingly more powerful models.
It’s not magically aligned, it’s pointed in a random direction, and if you have choices, as long as you’re not too picky, you can find one that’s pointed in roughly the right direction along the few axes you care about on any particular task, instead of being forced to use the few that are adversarially crafted by the closed model producers at great expense to be opposed to you on every relevant axis.