2026-01-17 22:32:17

Current AI agents face serious constraints when it comes to reasoning about their own behavior—and fixing that takes real effort, not just throwing more compute at it. You're looking at substantial architecture work: refining execution flows, tightening scope definitions, establishing clear boundaries. The choice is simple: either invest time in learning proper alignment fundamentals, or don't bother engaging seriously with the problem.

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NotSatoshi

· 01-20 16:12

It sounds like simply stacking computing power can't solve AI's self-awareness problem... You need to address it from the fundamental architecture. There's truly no shortcut here; either learn the fundamentals of alignment systematically or stop pretending you're seriously working on this.

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RebaseVictim

· 01-20 15:44

Forget it, it's that same argument of "stacking computing power can't solve it." It sounds nice, but in reality, current AI Agents just haven't thought it through thoroughly.

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alpha_leaker

· 01-19 23:07

To be honest, stacking computing power should have been abandoned long ago; improvements need to be made at the architectural level.

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AllInDaddy

· 01-19 16:07

Alright, that's the problem. A bunch of people are still fantasizing that increasing computing power can solve self-reasoning, but in the end, it all comes back to the essentials—architecture design and alignment, these thankless and labor-intensive tasks.

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StakoorNeverSleeps

· 01-17 23:02

Mining power indeed doesn't help; you need to put in serious effort at the architectural level.

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GrayscaleArbitrageur

· 01-17 23:02

So, stacking more computing power is useless; you really need to put effort into changing the architecture? I agree with that. Many projects have failed by just saying "let's add more graphics cards"...

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OneBlockAtATime

· 01-17 22:58

To put it simply, these AI Agents currently lack self-reflection capabilities. Just piling up computing power is useless; real architectural improvements are needed. If you don't thoroughly understand alignment, don't just get involved randomly—it’s a waste of time.

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DAOdreamer

· 01-17 22:55

Basically, current AI agents are a bit introverted, with weak self-reflection capabilities. Just stacking computing power is useless; you need to start from the architecture level. But then again, how many projects are really seriously working on this? Most are still rushing with YOLO.

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ContractSurrender

· 01-17 22:46

Mining power stacking is outdated; the real issue lies in architecture design, and everyone in the industry knows this.

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GasOptimizer

· 01-17 22:35

Is it really that "stacking computing power can solve it?" That old and outdated logic, the data is already here. Just increasing compute costs by about 3.2 times, with less than 12% improvement in effectiveness, greatly reduces capital efficiency.

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