Article from The Atlantic, archive link: https://archive.ph/Vqjpr
Some important quotes:
The tensions boiled over at the top. As Altman and OpenAI President Greg Brockman encouraged more commercialization, the company’s chief scientist, Ilya Sutskever, grew more concerned about whether OpenAI was upholding the governing nonprofit’s mission to create beneficial AGI.
The release of GPT-4 also frustrated the alignment team, which was focused on further-upstream AI-safety challenges, such as developing various techniques to get the model to follow user instructions and prevent it from spewing toxic speech or “hallucinating”—confidently presenting misinformation as fact. Many members of the team, including a growing contingent fearful of the existential risk of more-advanced AI models, felt uncomfortable with how quickly GPT-4 had been launched and integrated widely into other products. They believed that the AI safety work they had done was insufficient.
Employees from an already small trust-and-safety staff were reassigned from other abuse areas to focus on this issue. Under the increasing strain, some employees struggled with mental-health issues. Communication was poor. Co-workers would find out that colleagues had been fired only after noticing them disappear on Slack.
Summary: Tech bros want money, tech bros want speed, tech bros want products.
Scientists want safety, researchers want to research…
I’m much more worried about the social implications. Namely, the displacement of workers and introduction of new efficiencies to workflows, continuing to benefit only those who are rich and in power, and driving more of us towards poverty.
It’s not an immediate existential threat, but it’s absolutely a serious issue that we aren’t paying enough attention to.
Displacement of workers isn’t necessarily a bad thing as long as it’s spread out over a long enough time for people to adjust.
I suspect(/hope) we’re not going to see people losing jobs, but rather jobs in certain industries will just be created at a slower rate. Workflows take a long time to change in larger companies. I suspect a lot of value will be realized by smaller/just-starting companies who could more easily afford, say a $500/mo AI “task helper” service vs. hiring a $60k/yr position.
How did the industrial and information revolutions work out for us? Sure we live lives of convenience, but our entire existences have been manipulated into making the rich richer.
Looking at long and short term trends in the wealth gap, I have absolutely no faith that this will go well.
I agree the wealthy only became more wealthy during these revolutions, but the average standard of living for the lower classes also increased as well for both movements.
For example, with the Industrial Revolution, newly created industrial jobs led to generally increased pay over rural jobs, improved transportation access, and started a focus on education.
That isn’t to say workers weren’t abused in this system, though.
I don’t think the wealth inequality problem is something that will get better or worse with an “AI Revolution”. There are plenty of jobs available to keep wages where they are. This could only be solved with tremendous government action or an incredible accident.
You do realize that a lot of people are already being displaced by AI right? These are not “unskilled” jobs either. For e.g. the illustrators who used to get jobs probably spent thousands of hours to get to that level
AI is already taking video game illustrators’ jobs in China
https://restofworld.org/2023/ai-image-china-video-game-layoffs/
CNET used AI to write articles. It was a journalistic disaster. - The Washington Post
https://www.washingtonpost.com/media/2023/01/17/cnet-ai-articles-journalism-corrections/