Want to quickly understand financial reports with AI? Don't just focus on efficiency—avoid these pitfalls.
Tip 1: Don't trust AI's decimal points. AI often makes mistakes when handling numbers, especially key data like revenue and net profit. A single unit reversal can make a huge difference. After receiving AI's summary, be sure to verify the numbers against the original text—this step can't be skipped.
Tip 2: AI can get confused with lengthy financial reports. Instead of dumping the entire report at once, feed it precisely. Extract risk factors (usually in Item 1A) for AI analysis separately, or focus on key sections of the report in multiple passes. This will significantly improve accuracy.
Tip 3: Pay attention to details that AI might overlook. Information such as project risk disclosures, compliance changes, and market warnings—AI might skim over these, but they are often critical for investment decisions.
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LiquidationAlert
· 01-12 12:28
AI arithmetic really can be outrageous. I previously asked it to calculate a TVL result, and it was missing three zeros, almost buying into a fake project.
It's just a tool after all. No matter how smart, it's better to verify yourself to be safe.
The risk disclosure part is indeed easy to overlook, but it often hides big pitfalls. If you're not careful, you'll become the bagholder.
The precise feeding suggestion is excellent; you can't just throw everything in and wait for the answer.
The details in financial reports are the devil. The parts that AI skips are often the most important.
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WhaleSurfer
· 01-11 11:24
A single digit error can cause a crash; this is no small matter. I was previously tricked by AI, almost copying the wrong order because of an extra zero in revenue.
Segmented data feeding is brilliant. Compared to giving the entire document to AI, it's still better to rely on human judgment to filter key points.
Risk disclosure is the part most easily skipped by AI, but often this is where the real value lies.
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orphaned_block
· 01-11 10:45
AI arithmetic really isn't reliable; I've been scammed only once. Give me a financial report summary; the net profit was off by one zero, and I almost bought into a fake project.
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RugPullSurvivor
· 01-09 22:57
AI arithmetic is truly amazing. Last time, I asked it to calculate a revenue ratio, and it was off by two orders of magnitude, almost getting me stuck in a loss.
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gaslight_gasfeez
· 01-09 12:58
Really, I'm now worried that AI might mess up my data. Last time, I almost got into the market based on incorrect data, it scared me to death.
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OptionWhisperer
· 01-09 12:48
AI arithmetic is really outrageous. Last time, I almost got tricked by it; a million-dollar project was mistakenly calculated with the wrong units.
The point about decimal places is spot on. Details are the most critical part. For example, in risk disclosure, AI can easily overlook it, but this is exactly the information that can determine whether to go all-in or not.
Relying entirely on AI? That's pure suicide. Break it down into sections, analyze key chapters separately—only then can efficiency truly improve.
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GasFeeCrier
· 01-09 12:43
Damn, AI really can't be trusted. If the numbers are wrong and the units are reversed, you'll lose everything... I still have to verify it myself.
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GateUser-addcaaf7
· 01-09 12:41
Wow, this is the real point. Relying solely on AI isn't enough; you still need to double-check yourself.
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DegenTherapist
· 01-09 12:41
Damn, AI accounting is even worse than mine, it flipped the decimal point... I still have to go through it myself.
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ApeWithNoFear
· 01-09 12:31
Haha, AI arithmetic really sucks. Last time I asked it to summarize a exchange's financial report, it mistakenly took millions as tens of millions, almost got me tricked.
I've been saying for a long time, you can't slack off, everyone. You must review the numbers yourself.
Item 1A is indeed easy for AI to overlook; those compliance details are the real pitfalls.
Decimals can really be a matter of life and death. The money in the crypto world can't afford to be played with like this.
Want to quickly understand financial reports with AI? Don't just focus on efficiency—avoid these pitfalls.
Tip 1: Don't trust AI's decimal points. AI often makes mistakes when handling numbers, especially key data like revenue and net profit. A single unit reversal can make a huge difference. After receiving AI's summary, be sure to verify the numbers against the original text—this step can't be skipped.
Tip 2: AI can get confused with lengthy financial reports. Instead of dumping the entire report at once, feed it precisely. Extract risk factors (usually in Item 1A) for AI analysis separately, or focus on key sections of the report in multiple passes. This will significantly improve accuracy.
Tip 3: Pay attention to details that AI might overlook. Information such as project risk disclosures, compliance changes, and market warnings—AI might skim over these, but they are often critical for investment decisions.