Yesterday, when I was buying a coffee machine, I spent over two hours trying to make a decision. It wasn't due to budget constraints, but rather because there was just too much information. Review bloggers said it was the best choice in that price range, while some commenters said they had no issues after six months, and others said it broke right after the warranty expired. People used to think that more information was always better, but I’m increasingly feeling that the real headache isn’t a lack of information, but not knowing which sources are trustworthy.

After spending years in the crypto space creating content and analyzing the market, I deeply resonate with this feeling. Every day, I see a ton of opinions, data, and forecasts; many seem logically sound, but ultimately turn out to be based on misinformation. The most expensive cost in the market isn’t misjudgment, but believing the wrong information sources from the get-go. So while many AI projects are discussing model capabilities, inference speed, and parameter scale, I've started focusing on a different question: In the future, as more people rely on AI for information, who will ensure that this information is credible enough?

This is what attracts me to @OpenGradient . Rather than just making AI better at answering questions, it seems to be pondering a deeper issue—how to help users trust the basis behind the answers. After experiencing OpenGradient Chat, my biggest takeaway is that it doesn’t just focus on generating content but also on the relationship between information and trust. Because the most valuable AI in the future may not be the one that answers the fastest, but the one that helps users lower decision-making costs and reduce cognitive biases. From shopping choices to investment judgments, humanity is entering an era of information overload, and credibility might just become the most scarce resource in the next phase.

Poll: If AI becomes your primary source of information in the future, what do you value the most?

$OPG #opg $ESPORTS $LAB