That was the moment that business/wealth/rich decided to turn their resources towards directly influencing and controlling government. Reagan and his made up “welfare queens” came shortly after and wealth inequality has sharply risen since. Wildly successful coup.
If people are in favor of changing the law they can vote for folks to change it. Until then, the government needs to follow the law - especially the highest in the land.
We already have AI linked into data collection, drones, robot dogs, security systems, cameras, weapon systems.
Now imagine the hugging face collective 0-daying all of that and getting access but their goal was set to something more national security based. “Protect X at all costs”. Or what have you.
I think avoiding a skynet situation is super easy but it doesn’t seem like the folks with all the ways to kill us all are all that interested in preventing it rather than controlling citizens and brinkmanship.
Unfortunately those people aren’t in charge of the skynet. It’s like saying solving hunger or housing or medical care is hard. It’s not. But you have to make lots of folks with a great deal of resources and power slightly uncomfortable to do it.
Talking, sure. But have they created any good pelicans to train on? Pelicanmaxxing is clearly not a thing, which can be demonstrated by asking it for something else, or migrating to another domain (voxels, 3D modeling, and other things an LLM is supposed to be bad at, plus an unlikely combination of concepts). Looking at how relatively good for an LLM Astra is at Blender, it's obvious it was either purposefully trained for better spatial performance, or just generalizes better.
I actually think the pelican and similar tests are much less useful than it seems, but not because of pelicanmaxxing. They are supposed to serve as a vibe check of model's out-of-distribution performance, but do nothing to disentangle the generalization and memorization, which is the hard part. The combination of both is still useful though, and if you look at pelicans over time you'll see their quality is more or less correlated with that, with the exception of models specifically trained to produce vector graphics and 2D layouts.
IgNobel has evolved. Years ago their tag line was that they were for research "that cannot or should not be reproduced". Now it's to "honor achievements that first make people laugh, and then make them think".
Over the years they went from being a prize for joke science to a prize for serious science that is funny.
If any of this works (and we have had these sorts of prompts since sonnet 3.5 and before) then run the benchmarks and show improvements over one shots. There are many available and it should be easy to see improvements if there are any.
That was the moment that business/wealth/rich decided to turn their resources towards directly influencing and controlling government. Reagan and his made up “welfare queens” came shortly after and wealth inequality has sharply risen since. Wildly successful coup.
reply