AI is Thinking Harder, Not Just Bigger
Bigger isn’t always better — at least not when it comes to AI, where the secret to future success might be in how long it “thinks,” not how much it knows.
Artificial intelligence has been growing rapidly, thanks to scaling laws that make larger models—like GPT-4—more powerful. By increasing the size of models and the data they process, companies have created smarter AI. But the race for more power doesn’t end there.
A new approach, pioneered by OpenAI with its o1-preview model, introduces the concept of “thinking time” as another key factor. Instead of simply training on more data, AI can now improve by thinking through problems step by step. This hidden "thinking" process can dramatically boost accuracy, though it requires exponentially more computing power.
With both data scaling and thinking scaling driving AI's development, the next frontier isn’t just about making bigger models, but smarter ones that take their time. Will this shift in strategy unlock AI's full potential, or are we simply piling on more complexity?
Read the full article on One Useful Thing.
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Dr Mark van Rijmenam
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