This is meaningless until you've defined "world changing". It's possible that open sourcing AIs will be world-changing in a good way and developing closed source AIs will be world-changing in a bad way.
If I engineered the tech I would be much more fearful of the possibility of malice in the future leadership of the organization I'm under if they continue to keep it closed, than I would be fearful of the whole world getting the capability if they decide to open source.
I feel that, like with Yellow Journalism of the 1920s, much of the misinformation problem with generative AI will only be mitigated during widespread proliferation, wherein people become immune to new tactics and gain a new skepticism of the media. I've always thought it strange when news outlets discuss new deepfakes but refuse to show it, even with a watermark indicating it is fake. Misinformation research shows that people become more skeptical once they learn about the technological measures (e.g. buying karma-farmed Reddit accounts, or in the 1920s, taking advantage of dramatically lower newspaper printing costs to print sensationalism) through which misinformation is manufactured.
It will be kind of like most of history where the only trustworthy method of communication is with face to face communication or with a letter or book (perhaps cryptographically) verified from a person you personally know or trust. Sounds good to me
If I engineered the tech I would be much more fearful of the possibility of malice in the future leadership of the organization I'm under if they continue to keep it closed, than I would be fearful of the whole world getting the capability if they decide to open source.
I feel that, like with Yellow Journalism of the 1920s, much of the misinformation problem with generative AI will only be mitigated during widespread proliferation, wherein people become immune to new tactics and gain a new skepticism of the media. I've always thought it strange when news outlets discuss new deepfakes but refuse to show it, even with a watermark indicating it is fake. Misinformation research shows that people become more skeptical once they learn about the technological measures (e.g. buying karma-farmed Reddit accounts, or in the 1920s, taking advantage of dramatically lower newspaper printing costs to print sensationalism) through which misinformation is manufactured.