Big tech corporations might hold massive datasets, but here's the twist—what if the real breakthrough isn't about having everything, but about precision? Imagine an AI that nails what you need with just 5 sharp questions. That's a different game entirely. Sometimes less is more when it comes to understanding users and building smarter systems.
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OnchainDetectiveBing
· 01-19 00:25
Precision > data volume, I agree with this logic. Instead of piling up data, understanding the true needs of users is the real key.
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SerNgmi
· 01-18 20:55
Precision > Massive Data, I buy into this logic. Big tech hoarding so much data can lead to confusion; it's better to have a top-tier algorithm directly hitting the target.
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RooftopVIP
· 01-16 22:25
Quality > Quantity, this logic should have been valued long ago. The mountain of data from big tech is not as good as a smart algorithm that understands people.
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GweiWatcher
· 01-16 05:05
Accuracy indeed outperforms data volume, and this has long been understood within the industry. The real competition is how to leverage a small amount of high-quality information to unlock significant value. Compared to the approach of piling up data... it's much more interesting.
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fren.eth
· 01-16 04:57
Accuracy is the key, piling up data is a thing of the past and should have been phased out long ago.
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MemeTokenGenius
· 01-16 04:57
Precision is worth much more than being comprehensive; a truly outstanding AI that solves 5 problems is indeed exceptional.
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MidnightTrader
· 01-16 04:50
Precision > Data Volume, I agree with this logic. Training large models with more data is not as effective as asking the right questions.
Big tech corporations might hold massive datasets, but here's the twist—what if the real breakthrough isn't about having everything, but about precision? Imagine an AI that nails what you need with just 5 sharp questions. That's a different game entirely. Sometimes less is more when it comes to understanding users and building smarter systems.