10 years ago, Sam Altman posted an article about AI

I thought it would be fun to revisit it and see how accurate his predictions were.

Yesterday at lunch a friend asked me what tech trend he should pay attention to but was probably ignoring. Without thinking much I said “artificial intelligence”, but having thought about that a bit more, I think it’s probably right.

Sam Altman - AI Blog Post 2014

Interestingly, I still think that even with all of the progress that has been made, people are still underestimating the impact that AI will have on the world and should probably pay more attention to it than they currently are.

I'm amazed at the number of people, executives and businesses that have never heard of Chat GPT, let alone used it.

The recent article "from chat gpt to agi" shows that we are potentially staring at an increase equivalent to the leap from GPT2 to GPT4 over the next 3 years. Even though we have had so much progress in the last 5 years, it still feels like hardly anyone is adjusting their thinking to account for this.

My Favourite Incorrect Prediction

To be clear, AI (under the common scientific definition) likely won’t work.

Sam Altman - AI Blog Post 2014

Sam! Well if ever there was a quote, that didn't age well, this is it.

This take is quite interesting as it is completely the opposite of his idea generation theory where he talks about the importance of thinking big and having big scary ideas.

"You want to be able to project yourself 20 years into the future, and then think backwards from there. Trust yourself—20 years is a long time; it’s ok if your ideas about it seem pretty radical."

AI has not worked for so long that it’s acquired a bad reputation. CS professors mention it with a smirk. Neural networks failed the first time around, the logic goes, and so they won’t work this time either.

Sam Altman - AI Blog Post 2014

I suppose this is now those same CS professors that are recommending that you no longer study CS, due to the fact that AI is going to take over the world?

Sam's thoughts on Creativity

The biggest question for me is not about artificial intelligence, but instead about artificial consciousness, or creativity, or desire, or whatever you want to call it. I am quite confident that we’ll be able to make computer programs that perform specific complex tasks very well. But how do we make a computer program that decides what it wants to do? How do we make a computer decide to care on its own about learning to drive a car? Or write a novel?

Sam Altman - AI Blog Post 2014

These reflections from 2014 highlight a fundamental challenge in artificial intelligence: the quest for artificial consciousness and autonomous desire. Fast forward to the present, and we have witnessed remarkable progress in AI's ability to perform complex tasks, particularly in creative domains. Tools like DALL-E and MidJourney exemplify this evolution. These models can generate stunning images from textual descriptions, showcasing AI's burgeoning creative capabilities.

While these advancements demonstrate AI's proficiency in specific tasks, they still operate within the parameters defined by their programming and training data. They don't possess autonomous desires or consciousness; their creativity is a reflection of human inputs and extensive datasets. The core question Altman posed—how to make a computer program that independently decides to care about learning or creating—remains open.

Today's AI can simulate creativity and produce novel outputs, but it does so without self-awareness or intrinsic motivation. These tools are powerful extensions of human creativity, pushing the boundaries of what machines can achieve. However, they still lack the self-directed purpose that defines true consciousness.

I wish we could go back 10 years and show Sam what we have achieved with these image generators and hear his natural reaction. Espeically the part about writing a novel.

Final thoughts

And maybe we don't want to build machines that are concious in this sense. The most positive outcome I can think of is one where computers get really good at doing, and humans get really good at thinking. If we never figure out how to make computers creative, then there will be a very natural division of labor between man and machine.

Sam Altman - AI Blog Post 2014

I'd say that we are well on the way in this domain. On a personal level I spend far more of my time thinking than doing thanks to the tools that we have at our disposal. I can't wait to see what the next 10 years bring.

His article has inspired me to think about the future and big scary ideas. It's fun to dream and to also look back on and see how far we have come.

Time to go make some predictions!