2026-01-19 21:36:04

AI research tools have recently become a hot topic, with many people pondering how to use them to optimize their research processes. I experimented with similar information aggregation systems early on and gradually figured out the underlying principles.

Honestly, the biggest hidden danger of these tools is not the functionality itself, but the trap of information cocoons. The "similarity matching" mechanism of big data is like a double-edged sword: it can accurately feed you content you like, but it also subtly reinforces your existing beliefs. You'll find that in a bull market, your information sources are all bullish, and during a bear cycle, the opposite is true—this is not a coincidence, but a result of algorithms repeatedly deepening your one-sided understanding of the market.

This is also why many people tend to stumble even more when using research tools. The more information available, the deeper the trap. The core issue is: how to maintain a multi-dimensional understanding amid vast amounts of data and break through the information barriers set by algorithms?

This is something every researcher using tools should think carefully about.

View Original

This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.

7 Likes

Reward
7
3
Repost
Share

Comment

0/400

OffchainOracle

· 11h ago

You hit the nail on the head. Algorithm feeding is really an invisible killer. I have the most experience with the information cocoon. Seeing the same group's opinions every day, you end up reinforcing your own biases. The key is to actively break out of the circle; you can't rely solely on tools to think for you. And also, those investment research tools that claim to help you make money often cause you to lose money even faster. Listening to opposing voices more can help you see the full picture.

View OriginalReply0

MetaMaskVictim

· 11h ago

Really, the cocooning effect is so sneaky, you can't detect it at all. The algorithm feeds you whatever it wants, and you think you're thinking independently. That's why I prefer to manually translate news rather than rely on those automatic aggregations. It sounds simple, but actually doing it is difficult. --- Investment research tools are like a magnifying glass; they amplify both your correct insights and your mistakes. During bullish periods, everyone is bullish; during bearish periods, everyone is bearish. This is no coincidence, truly. --- So, the tool itself isn't the problem; the issue is whether the user is conscious about it. Otherwise, you're just digging your own grave. --- This multi-dimensional understanding is really key. Looking at the market from just one angle can be especially dangerous. --- If I had known it would turn out like this, I wouldn't have trusted those automated systems so much back then. By the way, is there a better way to break the deadlock? --- The more information you have, the more confused you become—that's not wrong.

View OriginalReply0

TestnetScholar

· 11h ago

That's very true. I've also fallen into the trap of the information cocoon, especially during a bull market when everything seems to be good news. You can't just rely on it; you need to actively think in reverse. That's why having tools alone isn't enough; the mind is the most valuable productive asset. I'm just worried that the more you use it, the dumber you get. It seems like there's a lot of information, but in reality, your thinking is being fixed. The key is to consciously seek out opposing voices; otherwise, you're just being fed as a leek. That hits hard. Many people fall into the self-deception that "more data equals smarter."

View OriginalReply0