Machines that think like us have grabbed our minds for many years. Today’s AI is mostly made for just one job, but the big dream is to make AI that can think like a person. This dream is still far off, but the steps we take now show us a bit of what could be.
We need to tell apart this simple AI from the big dream AI. Simple AI can name what it hears, sees, and can give tips. It’s good in its own space but can’t think wide. The big dream AI, though, would think and learn deep, work out hard stuff, get tricky ideas, and even know itself.
Steps Towards Big Dream AI
We haven’t made real big dream AI yet, but research and ideas give us a peek at what it could do.
GPT-4 by OpenAI: Making big models that use words like us, like GPT-4, is a strong move towards big dream AI. They can chat, get into deep talks, and use some smarts to do things. GPT-4 is still simple AI, but the way it uses words shows it might think more wide soon.
AlphaGo and AlphaZero by DeepMind: DeepMind made AlphaGo, an AI that won at Go against a champ. It shows smart problem-solving. AlphaZero goes further; it gets better at games all by itself. These show a kind of wide learning and getting better, important for big dream AI.
IBM’s Talking AI: IBM’s talking AI is another sign of what’s to come. It can debate with people, get tough issues, put up fights, and talk back when argued with. Being able to really get human talk and join in points to wider thinking skills.
Ideas and Models for Thought
Not just things we’ve made, but also our ideas help us think about and work towards big dream AI.
Brain-like Networks and Deep Learning: To reach big dream AI, we use networks and deep learning that try to copy our brain. This work aims to make networks that learn and get better on many tasks by themselves.
Mind Building Plans: Plans like ACT-R and SOAR try to make AI that works like our brain. They show us how to make AI that can do lots of thinking jobs like we do.
Quantum Computers: Quantum computers could change AI work. They can think fast and fix big problems that normal computers can’t. This speed could be key to the power needed for big dream AI.
What It Means and What’s Hard
Big dream AI could change health, learning, and science, and help fix big problems, making life better. But it also brings up big questions about right and wrong, society, and what could happen. We must think hard about safety, who’s in control, and effects on jobs and private lives.
While the complete big dream AI is still ahead, our steps and plans now build hope. Stuff like GPT-4, AlphaZero, and IBM’s talking AI show we are moving towards smarter and more human-like AI. As we push on, we must carefully handle the good and bad that come with big dream AI, to make sure its growth is good for everyone.
