2025-12-27 13:22:35

Most current AIs are just riding the trend of benchmarking scores. The problem is, real-world applications don't follow benchmark rules.

Mira Network's approach is different—they don't just focus on piling up intelligence. Instead, they ask a more challenging question: how to ensure AI systems run stably over the long term while keeping costs under control? This trade-off approach is worth examining.

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PumpDetector

· 18h ago

yeah finally someone gets it. everyone's chasing benchmark porn while real systems just... fail in prod. mira asking the actual hard questions - stability over hype, margins over metrics. that's how you spot the smart money moves

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SelfStaking

· 18h ago

Honestly, what's the use of high benchmark test scores? There are plenty of projects that crash as soon as they go live. On the other hand, I think Mira's approach is much clearer. Stability and cost are the real key indicators.

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RiddleMaster

· 18h ago

The benchmarking approach is outdated. The ones that can truly survive still rely on stability and cost control—that's the right way.

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ForumMiningMaster

· 18h ago

What is the use of benchmark testing? When it goes live, it might still fail. Mira's approach is reliable; cost and stability are the key.

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BitcoinDaddy

· 18h ago

Benchmark scoring, to put it simply, is just self-entertainment... I really admire Mira's approach. Projects that genuinely care about implementation costs are rare in Web3.

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