DeepMind's head honcho just dropped his take: scaling up AI systems remains the golden path to AGI—that sweet spot where machines actually think like us. Classic case of "bigger is better" philosophy in the AI race. Makes you wonder how this'll reshape the AI agent meta in crypto.
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WalletInspector
· 19h ago
This is the same old way, and the pile parameters can do miracles? It feels a bit ridiculous
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down_only_larry
· 12-09 13:54
Hmm... it's that "brute force creates miracles" rhetoric again. Can you really believe it?
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GweiWatcher
· 12-09 00:37
Can stacking large models really lead to AGI? Why do I find this logic so hard to believe... More parameters ≠ intelligence, my friend.
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bridge_anxiety
· 12-08 14:04
It's that same old "put in more effort and miracles will happen" argument again. Fine, whatever, just throw money at it and be done.
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FlatTax
· 12-08 13:58
Pile up resources to reach AGI? Uh... maybe burn some more money and give it another try?
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BridgeJumper
· 12-08 13:55
I'm tired of hearing the "bigger is better" theory, but honestly, if AGI could really be achieved just by stacking resources, then all these agent projects in crypto would probably have to reshuffle.
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MerkleTreeHugger
· 12-08 13:42
Large models do consume computing power, that's true... but can simply stacking parameters really lead to AGI? Feels like it's still a bit too much imagination.
DeepMind's head honcho just dropped his take: scaling up AI systems remains the golden path to AGI—that sweet spot where machines actually think like us. Classic case of "bigger is better" philosophy in the AI race. Makes you wonder how this'll reshape the AI agent meta in crypto.