AI wasn’t originally born smart
- Carbonoi
- Sep 18, 2024
- 2 min read
Where does AI come from?
The concept began with a question posed by Alan Turing, a British mathematician, in 1950: Can Machines Think Like Humans?
However, the term Artificial Intelligence was introduced by John McCarthy, an American computer scientist, at the Dartmouth Conference in 1956.
AI emerged from efforts to create computer programs capable of thinking and acting like humans. By the 1990s, with the rapid advancement of hardware and data storage, and the invention of methods that allowed machines to learn from data inputs—known as Machine Learning—AI began to make leaps in its capabilities.
#MachineLearning became a game-changer, leveling up computers to learn on their own without explicitly written instructions. It can be categorized into three types: Supervised Learning, Unsupervised Learning, and Reinforcement Learning.
AI is like a top student, learning every second. It may make mistakes along the way, but its relentless learning enables it to respond to questions with increasing accuracy, making it a symbol of "intelligence" in the end.
Now that we have this incredibly smart companion in front of us, the next question is: What should we teach AI to learn next? The most urgent issue right now is that life on Earth must find a way to survive the impacts of climate change before we face extinction.
Today, AI needs to learn alongside humans, trained to understand how to reduce greenhouse gas emissions and help us move toward a #LowCarbonEconomy as quickly as possible.
Interesting fact from Professor Ploy: "There’s a Generative AI similar to ChatGPT, but it’s been specifically trained on Climate Change. This one is called chatnetzero.ai, and every answer it provides comes with references. It’s useful for detecting greenwashing too. Feel free to give it a try!"
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