When Lex Friedman visited our MIT AI Venture Studio class to talk about the future of AI, we got some pretty interesting ideas about the near future.
At the top of Lex’s comments, he talked about disruption – predicting that two new trillion-dollar companies would emerge from the AI era, and suggesting that Google, Meta and Microsoft would probably not be able to pivot quickly enough to maintain their dominance.
As for where we might see this innovation, one of its focal points was language. Lex pointed out that in America we take it for granted that everyone speaks English – but everywhere in the world there is a huge market for real, accurate voice translation. People, he says, speak many languages in “intimate” ways – and that requires precision from technology.
He also spoke about the future of robotics, predicting that we will have hundreds of millions of robots in our homes.
“The purpose of these robots is not to help you do the dishes,” he said. “They will be your friends, just like dogs and cats.”
Both of his predictions make sense in that they address more of the human component of interacting with robots, and not just your average working rabbit imaginings when it comes to a robot’s “work.”
Before that, he also looked at technology’s ability to deliver what he calls “deep personalization.”
“Anything that involves interaction with a product, all of that needs to be captured, all of that needs to be converted into data,” he said. “And that will be the advantage: the algorithms don’t matter… you have to be able to adapt them to each person, and to do it, not over a single day or a single interaction, but over a lifetime , where you share memories, the lows, the highs and the lows, with your great language model.
It’s a compelling description of how we are likely to use LLMs daily, throughout our lives, and not just as toys or occasional utilities.
Now here’s where it got really interesting: when we asked Lex “what are the best questions to ask yourself?” »
After thinking for a bit, he came back with this: “What’s the best way to make an impact?”
He talked about things like running a podcast and creating stuff from code.
He also mentioned the fine line between being satisfied and happy and always seeking change, referencing Marvin Minsky’s assertion that he had always remained dissatisfied with past work.
“Always be grateful,” he said.
In the meantime, we ask the same question in chatGPT: “what are the best questions to ask yourself?”
Here is the first part of what we found:
“When it comes to introspection, there are several thought-provoking questions you can ask yourself. Here are some examples: What is the purpose of my life? What is the most important thing I need to accomplish today? Do I believe I am worthy of love and happiness?
So that’s the existential answer from one of our biggest independent journalists and podcasters, and the same question posed to one of our leading AI models.
Are we going to see more of this type of panel activity in the coming years, where you ask humans and robots the same questions and compare their answers?
The answer is a resounding yes!’
What do you think? Stay tuned to learn more about these exciting courses and everything happening in the world of AI today.