Think AI can handle crypto data queries? Think again.
Major language models—GPT, Claude, Grok, DeepSeek—all struggle with precision tasks in crypto. Their accuracy? Barely hits 70% on queries like:
"What's the timestamp for ETH block 19,560,000?" "How much stETH got minted on December 31st, 2024?"
Seems trivial, right? Wrong. When you're executing trades based on block timing or monitoring staking rewards, one wrong number kills your strategy. We're talking potential million-dollar mistakes from a single inaccurate response.
The problem isn't that these models are dumb—they're just not built for blockchain's unforgiving precision requirements. Crypto operates on exact timestamps, specific block heights, and verifiable on-chain events. There's no room for "approximately" or "around."
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BearWhisperGod
· 12-13 20:07
70% accuracy? This is damn gambling, and you still dare to trust AI's word on million-level trades?
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RugDocScientist
· 12-13 02:57
70% accuracy? What a joke. The last time I asked Claude a simple block timestamp, it was completely wrong, almost causing me to liquidate. AI is just a decoration; on-chain data still depends on the blockchain itself. These models can't save retail investors at all.
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DegenDreamer
· 12-10 20:59
70% accuracy in trading? Just giving money directly to hackers, haha
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WhaleMistaker
· 12-10 20:57
70% accuracy? Might as well just roll a dice haha
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UnruggableChad
· 12-10 20:53
Haha, I knew it. On-chain queries for those big models are a piece of cake. With a 70% accuracy rate, you're still brave enough to show it off... I almost got liquidated earlier because of GPT's one word "roughly." Truly astonishing.
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FUD_Whisperer
· 12-10 20:52
70% accuracy? Buddy, are you gambling? This isn't trading.
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AirdropAnxiety
· 12-10 20:48
Using a 70% accuracy rate for on-chain decision-making is gambling.
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NFTFreezer
· 12-10 20:38
70% accuracy and you dare to boast to me? When trading, missing a single digit can cost millions, this stuff is not even worth touching on-chain data.
Think AI can handle crypto data queries? Think again.
Major language models—GPT, Claude, Grok, DeepSeek—all struggle with precision tasks in crypto. Their accuracy? Barely hits 70% on queries like:
"What's the timestamp for ETH block 19,560,000?"
"How much stETH got minted on December 31st, 2024?"
Seems trivial, right? Wrong. When you're executing trades based on block timing or monitoring staking rewards, one wrong number kills your strategy. We're talking potential million-dollar mistakes from a single inaccurate response.
The problem isn't that these models are dumb—they're just not built for blockchain's unforgiving precision requirements. Crypto operates on exact timestamps, specific block heights, and verifiable on-chain events. There's no room for "approximately" or "around."