What are the key pain points in the prediction market? Simply put, it's the information gap.
What you need is not just watching a single exchange, but integrating intelligence from the entire web—domestic and international media, on-chain data, project updates—all brought together. Merely capturing data is not enough; how do you filter through the massive amount of information? This is where AI comes into play, automatically scoring, reconstructing, and denoising each piece of news, ultimately leaving only high-quality intelligence that truly matters.
The core competitiveness of this intelligence integration system (IIS) lies here: helping you quickly identify key signals that can influence prices from the flood of information. For prediction market participants, this might be the most handy tool in their arsenal.
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ApeDegen
· 01-18 02:38
I agree with the concept of information asymmetry, but how many people can truly utilize AI for denoising? Most still rely on intuition and luck.
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MetaDreamer
· 01-15 20:44
Speaking of which, information asymmetry is indeed a mysterious area, but is AI denoising really reliable? I'm still a bit skeptical.
Just by listening to news ratings to buy the dip? It still feels like you need to rely on your own intuition.
IIS sounds good, but who actually uses this approach in the crypto world? Anyway, I still manually filter news now—it's too exhausting.
On-chain data + media intelligence can definitely be effective, but the key is execution. No matter how good the tools are, they’re useless without action.
If this system can truly lock onto key signals, I wouldn’t need to watch K-line charts all day. It feels like a new concept is emerging again.
Information asymmetry will always exist. It’s good if this system can narrow the gap, but don’t expect it to be a holy grail.
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MerkleMaid
· 01-15 10:51
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GateUser-00be86fc
· 01-15 10:41
That's what they say, but there are very few AI systems that can actually achieve real-time integration and noise reduction without distortion.
To be honest, using IIS might not be faster than just joining a few groups and subscribing to a few channels yourself.
When it comes to information arbitrage, tools alone won't cut it—it's all about who reacts fastest.
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ForkMaster
· 01-15 10:23
It sounds like just another story about selling tools. I've heard the excuse of information asymmetry too many times. The guys who are really making money are quietly getting rich. Who would share the secret to wealth with you? Even though I raise three kids, I don't expect much from the IIS system.
What are the key pain points in the prediction market? Simply put, it's the information gap.
What you need is not just watching a single exchange, but integrating intelligence from the entire web—domestic and international media, on-chain data, project updates—all brought together. Merely capturing data is not enough; how do you filter through the massive amount of information? This is where AI comes into play, automatically scoring, reconstructing, and denoising each piece of news, ultimately leaving only high-quality intelligence that truly matters.
The core competitiveness of this intelligence integration system (IIS) lies here: helping you quickly identify key signals that can influence prices from the flood of information. For prediction market participants, this might be the most handy tool in their arsenal.