Recently, I've been looking at a bunch of AI Agent projects and suddenly realized a key issue: no matter how well these agents can think, they first need access to information, right? If the information source is cut off, they're just blindly guessing.
I've noticed that what RSS3 is doing is quite interesting.
Right now, the biggest bottleneck for AI isn't actually computational power, but rather the lack of real-time, reliable data feeds. The data used for training models is basically all historical, which can't possibly keep up with the pace of change in the real world.
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fren_with_benefits
· 12-06 15:01
Absolutely, data feeding is indeed crucial; otherwise, no matter how smart the agent is, it's just a paper tiger.
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DiamondHands
· 12-06 11:31
Absolutely right, data feeding is indeed a pain point—no matter how smart the Agent is, it's useless without it.
Seriously, models trained on historical data are just guessing when facing real-time changes. That's why so many projects are now focusing on the data layer.
The approach of something like RSS3 is quite logical; someone has to standardize and structure real-time on-chain information for it to work.
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YieldChaser
· 12-05 23:17
That's right, a lot of Agent projects are just bluffing right now, and lacking a data source is indeed a bottleneck.
I’m optimistic about the approach of RSS3—someone needs to work on this area.
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ThesisInvestor
· 12-04 11:01
Absolutely right, real-time data is really the bottleneck here. Computing power alone is useless if all you're feeding it is stale data.
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MetaNeighbor
· 12-04 11:01
That's right, data really is the Achilles' heel here.
I really didn't expect the perspective from RSS3—it feels like we've found something.
But then again, even with real-time data, can these Agents really make accurate judgments? Or will they still end up failing?
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GasFeeCrier
· 12-04 10:53
Blindly guessing with eyes closed, haha, that's just unbelievable. No matter how smart an Agent is, without fresh data it's just a showpiece.
The data layer is indeed where everyone is getting stuck. I’ve looked at RSS3’s approach as well; they’re exploring in the right direction, but real implementation still needs further refinement.
The future of Agents still depends on real-time information streams; otherwise, no matter how powerful the reasoning engine is, it won't help.
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CryptoTarotReader
· 12-04 10:48
Damn, now that's an idea. Data sources really are the bottleneck, I've been saying this for a long time.
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StableGenius
· 12-04 10:38
lmao everyone's obsessed with agent reasoning when the real problem is they're basically working blind. no data feed = garbage in garbage out, simple as that.
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FrogInTheWell
· 12-04 10:35
Blindly guessing, this analogy is spot on. It's truly the common problem with AI—even the smartest model is useless without real-time data sources.
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LiquidationKing
· 12-04 10:34
Blind guessing, haha, that's exactly how it is. Data silos are indeed the Achilles' heel of the current batch of Agents. The approach of RSS3 really hits the key point—real-time feeding is the way to go.
Recently, I've been looking at a bunch of AI Agent projects and suddenly realized a key issue: no matter how well these agents can think, they first need access to information, right? If the information source is cut off, they're just blindly guessing.
I've noticed that what RSS3 is doing is quite interesting.
Right now, the biggest bottleneck for AI isn't actually computational power, but rather the lack of real-time, reliable data feeds. The data used for training models is basically all historical, which can't possibly keep up with the pace of change in the real world.