They’re going to have to think of a new “learn to code” occupation for all the people who learned to code.
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The team that collaborated for years on deep learning has differing visions of Artificial General Intelligence (AGI), yet they collectively earned the prestigious Turing Award for their contributions. While I primarily recall Geoffrey Hinton, I recognize that he worked alongside two other influential figures who championed deep learning throughout their careers.
One of Hinton’s colleagues, the French researcher Yann LeCun, who is currently with Meta, argues that transformer models will never lead to AGI. In contrast, Hinton, who previously worked at Google and has since moved on, continues to assert that AGI is on the horizon and has been vocal about the potential implications.
Choosing a side in this debate is challenging, but I find myself leaning towards Hinton’s perspective.
@prg9 - I wrote about the death of content creation (at least, like it used to be!) here: AI Killed the Content Creator...Star 🤩 - KIRUPA 🍊
AI is going to make a lot of the content we see obsolete, for the incentives are broken. Anything I create, the primary consumer will be a LLM that will then summarize it back under its own branding.
@kirupa I had AI summarize the article, why bother, it said human perseverance is dead and suggested just giving up. Claims AI has already won and humans will never regain control. So I asked it to create an AI-Kirupa type site to carry the torch forward, its already plagiarized over 5000+ articles from well known sources.
What a time we live, long live the humans [-oids ?].
PS: Nice article. 
