I've been quite busy lately. I took a hot bath last night to relax my whole body.
Hot water is like magic, washing away fatigue.
Thinking of a little story: A frog in boiling water, gradually heating without knowing the danger. One must be alert to changes. This reminds me of the AI's boiling frog phenomenon, from gradual change to drastic change. In Dartmouth in 1956, as the water temperature began to rise, scientists were cooking in an intelligent pot. The rules of the symbols were like a slow fire, gradually adding ingredients to define. But the water temperature was not sufficient, and the flavor could not be brought out. The perceptron heats up, like adding firewood, learning the boiling point from the data. But overheating, the AI winter cools down. Backpropagation control of fire, tracing back from boiling, stabilizing the temperature. Machine learning is boiling, data flows like a water source, the pot is overflowing. Brain predicts water temperature rise, LLM predicts tokens, the pot is on a high fire, but the cooking method remains unchanged.
Curious Mind series, @OpenledgerHQ cooks it fragrant, clarifying the changes. From rule fire to data pot. If you are aware of history, you won't be cooked. After a refreshing bath, how do you relax? Let's exchange ideas. #OpenledgerHQ Snaptopus @KaitoAI @cookiedotfun #Yap KaitoYap #KaitoAI Cookie
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I've been quite busy lately. I took a hot bath last night to relax my whole body.
Hot water is like magic, washing away fatigue.
Thinking of a little story:
A frog in boiling water, gradually heating without knowing the danger. One must be alert to changes. This reminds me of the AI's boiling frog phenomenon, from gradual change to drastic change.
In Dartmouth in 1956, as the water temperature began to rise, scientists were cooking in an intelligent pot. The rules of the symbols were like a slow fire, gradually adding ingredients to define. But the water temperature was not sufficient, and the flavor could not be brought out. The perceptron heats up, like adding firewood, learning the boiling point from the data.
But overheating, the AI winter cools down.
Backpropagation control of fire, tracing back from boiling, stabilizing the temperature.
Machine learning is boiling, data flows like a water source, the pot is overflowing.
Brain predicts water temperature rise, LLM predicts tokens, the pot is on a high fire, but the cooking method remains unchanged.
Curious Mind series, @OpenledgerHQ cooks it fragrant, clarifying the changes. From rule fire to data pot. If you are aware of history, you won't be cooked. After a refreshing bath, how do you relax? Let's exchange ideas.
#OpenledgerHQ Snaptopus
@KaitoAI @cookiedotfun
#Yap KaitoYap #KaitoAI Cookie