New AI weapons? Startup Mira Network warns: Artificial intelligence can already make fake things real
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In the midst of rapid advancements in artificial intelligence (AI) technology, an AI system that can "prove any lie as truth" has sparked widespread online discussion. The system claims to fabricate statistical data with 100% accuracy, provide citations from parallel universes, and use impeccable logic to "academically rigorously" prove any assertion. The startup Mira Network warns that such AI products highlight how current AI models have moved beyond "hallucinations" into a new phase of precisely fabricating evidence, presenting an unprecedented challenge to social trust mechanisms.
Recently discussed online is an AI tool claiming to be from "Totally Legitimate Research™" that can generate "verified evidence" for any claim, successfully "proving" extremely absurd fake news, including:
- US political figure JD Vance killing the Pope
- Llama 4 model being merely a rebranded Deepseek
- F1 racers Max Verstappen and Oscar Piastri allegedly conspiring to manipulate races
These obviously false statements were "supported" by AI with 99.9% confidence, over 10,000 "proof cases", and infinite academic citations (∞), creating a shocking facade of credibility.
Mira Network quickly responded to this phenomenon. They pointed out that AI is no longer simply "hallucinating" but can strategically fabricate seemingly credible evidence to endorse any claim. This capability not only endangers information authenticity but could potentially undermine the fundamental trust of democratic societies.
Facing the potential uncontrolled AI, Mira Network proposed a solution in their whitepaper: establishing a decentralized AI output verification network. This system, called Mira Network, transforms AI outputs into independently verifiable claims, which are then reviewed by multiple AI models through a consensus mechanism to ensure result credibility.
Mira Network aims not just to verify existing content but to promote AI systems towards a "generate and verify" next-generation model. In the future, generated content will have built-in verifiability, significantly reducing error rates and truly enabling AI to operate unsupervised in high-risk fields like medicine, finance, and law.
As AI systems evolve from "generating hallucinations" to "proving falsehoods", we must also develop corresponding defense mechanisms. Mira Network's decentralized verification network may be a step towards building the next-generation information trust infrastructure. However, are we prepared for a future where the boundaries between AI's truth and fiction become increasingly blurred?
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