5,368 karma · joined December 14, 2015
...with a very aggressive maintenance cycle (typical part life is 1000-10000 hrs of service). Most airliners of that vintage resemble the "Ship of Theseus" in real life.
https://blog.google/security/how-google-is-making-private-ai...
It's conditioning. In all organizations above a certain size (> 100 people), stepping out of line receives an official reprimand. Someone always complains. Receive enough reprimands and the person is terminated. People learn to stay in line because they've been punished whenever they step out of it.
Do they include footguns from pointer bugs?
The former is mainly about being true to the scientific process of evidence-led discovery, while the latter is... whatever it is (but rational it is not). From a critical thinking perspective, there is no evidence to suggest the current form of AI could achieve superintelligence, and mechanisms that could enable ASI have not been discovered yet. Their perspective, on the other hand, is far more activist.
Doesn't writing the engine imply understanding about the problem domain? Tool use is a widely accepted measure of intelligence.
Does the LLM need to learn to play chess if it can build a chess engine to play for it instead?
I understand the perspective: The journey of a PhD thesis is a learning experience greatly beneficial to the student. Yet that journey is funded by society (esp. for domestic students) and society benefits from the results. The average person benefits when progress is made.
The crux of the argument perhaps. It suggests that too many people are currently studying mathematics without making much progress.
What a load of croc. This entire debate is fueled by a perceived lack of attribution. The AI learnt from researchers and did not give them a sporting chance of being first before scooping them. They were expecting some sort of fair play, instead they got a ruthless machine. Every other tangent to this debate is irrelevant, the culture, the community, the shared symbolic growth. Every mathematician I know is secretly trying to one-up their peers.
Yet that's exactly how the field works. A new grad student is tasked with finding a suitably difficult problem from a list of unsolved problems. The sweet spot is obscure, so that fewer people are working on it, but not too obscure that no one knows about it. It works the same way in theoretical physics and theoretical Comp Sci, and I speak from insider knowledge. The rosy view of mathematicians in the media is largely a product of marketing.
It seems to me the academics are upset that AI scooped them. But scooping is a time-honored tradition between researchers. First to print and all that. In a nutshell, they are upset that they lost out on a publication.
I will also point out for those unaware that any mathematics that is produced is automatically part of the public domain and can be used freely in derivative works. It is not a protected intellectual class like other works of art.