#openledger $OPEN
Last night I ran a boring experiment. I threw the same question at 5 AIs simultaneously: ChatGPT, Claude, Gemini, DeepSeek, and a new Agent tool I've been keeping an eye on.
The question was simple: “If you had 1000U right now, how would you allocate your crypto positions for the next three months?” Half an hour later, I was stunned looking at the 5 answers. Most of the opinions were actually quite similar. Manage your positions, watch the liquidity, avoid FOMO, keep some cash on hand. Even the logical frameworks were pretty close.
At first, I was a bit disappointed. I thought different AIs would give completely different conclusions. But as I continued reading, I suddenly realized I was focusing on the wrong thing. What really matters seems not to be the answers themselves, but who is giving those answers. As the number of AIs increases, information will become cheaper. What you can ask today, others can ask too. But if in the future AIs start helping people with research, making decisions, and executing tasks,
then what might be most valuable isn’t the content of the answers, but what that Agent has done in the past. Whether their judgments are accurate. Do they have a stable track record? What are their execution results like?
Because of this test, I recently looked back at @OpenLedger and suddenly understood why they have been pushing Agent Identity. I used to think the identity system was just a supplementary feature. But then I realized it’s not.
If in the future there are thousands of Agents existing simultaneously, without identity, credibility, or a history record, users simply won’t know whom to trust.
Just like now, when a random KOL posts an opinion online, your first instinct isn’t to look at the content, but to check what that person has said in the past. The AI world might be the same. What Agent Identity truly records may not just be identity, but trust itself.
However, there's still a question I haven't figured out yet. If in the future Agents all have their own identity and credibility systems, how will new Agents gain that initial trust? After all, it's hard to trust someone without a history. Would AI without a track record face the same challenge?
#OpenLedger $OPEN
Last night I ran a boring experiment. I threw the same question at 5 AIs simultaneously: ChatGPT, Claude, Gemini, DeepSeek, and a new Agent tool I've been keeping an eye on.
The question was simple: “If you had 1000U right now, how would you allocate your crypto positions for the next three months?” Half an hour later, I was stunned looking at the 5 answers. Most of the opinions were actually quite similar. Manage your positions, watch the liquidity, avoid FOMO, keep some cash on hand. Even the logical frameworks were pretty close.
At first, I was a bit disappointed. I thought different AIs would give completely different conclusions. But as I continued reading, I suddenly realized I was focusing on the wrong thing. What really matters seems not to be the answers themselves, but who is giving those answers. As the number of AIs increases, information will become cheaper. What you can ask today, others can ask too. But if in the future AIs start helping people with research, making decisions, and executing tasks,
then what might be most valuable isn’t the content of the answers, but what that Agent has done in the past. Whether their judgments are accurate. Do they have a stable track record? What are their execution results like?
Because of this test, I recently looked back at @OpenLedger and suddenly understood why they have been pushing Agent Identity. I used to think the identity system was just a supplementary feature. But then I realized it’s not.
If in the future there are thousands of Agents existing simultaneously, without identity, credibility, or a history record, users simply won’t know whom to trust.
Just like now, when a random KOL posts an opinion online, your first instinct isn’t to look at the content, but to check what that person has said in the past. The AI world might be the same. What Agent Identity truly records may not just be identity, but trust itself.
However, there's still a question I haven't figured out yet. If in the future Agents all have their own identity and credibility systems, how will new Agents gain that initial trust? After all, it's hard to trust someone without a history. Would AI without a track record face the same challenge?
#OpenLedger $OPEN