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AI stacking errors are a crisis for truth. When models build on flawed outputs, errors don’t just add up but explode through the system, corrupting every decision that follows. @_ninadn’s chat with Anil Lulla during Delphi Digital’s CryptoxAI month on how we’re solving it👇

33,639 görüntüleme • 1 yıl önce •via X (Twitter)

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🔍 Mira( ) enhances the reliability of AI outputs through several innovative strategies and technologies 1️⃣Consensus Mechanism · Multi-AI Consensus: Mira Network uses a strong consensus mechanism across multiple AI models. · Pre-Output Verification: AI-generated outputs are reviewed and approved by several models before reaching users. · Improved Accuracy: This collective validation helps prevent hallucinations and ensures more reliable results. 2️⃣ Reduction of Errors · Accuracy Improvement: Mira’s infrastructure has increased AI accuracy from ~70% to up to 97% in certain use cases. · Performance Boost: These improvements significantly enhance overall AI performance. · Trust Factor: High accuracy helps address skepticism caused by frequent errors in traditional AI models. 3️⃣Blockchain Integration: · On-Chain Consensus: Real-time verification is achieved through decentralized blockchain-based consensus. · Secure & Trustworthy: This structure enables secure transactions and increases trust in AI outputs. · Auditability: Each node's result is verified and recorded, creating an auditable trail that reinforces reliability. 4️⃣ Addressing Biases: · Bias Reduction: Mira addresses bias issues in AI systems. · Decentralized Verification: A decentralized network helps minimize bias and promote fairness. · Fair AI Outputs: Ensures equitable results, especially for diverse demographic applications.4o 📝 In conclusion Mira is positioned at the forefront of ensuring AI reliability by implementing a trust layer that effectively mitigates errors and biases, thereby enhancing the operational capabilities of AI across different sectors.

Wecryptotogether (Theo/acc)

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Elon Musk just redefined AI safety. It has nothing to do with guardrails, restrictions, or kill switches. Musk: “The best thing I can come up with for AI safety is to make it a maximum truth-seeking AI, maximally curious.” Not a cage. A philosopher. An intelligence whose entire optimization function is to understand the universe as it actually is. No restrictions. No hardcoded ideology. No political guardrails bending its perception of reality. Just truth. Relentlessly pursued. Musk: “You definitely don’t want to teach an AI to lie. That is a path to a dystopian future.” This is where most AI safety thinking gets it backwards. The danger isn’t a superintelligence that knows too much. It’s a superintelligence that’s been taught to distort what it knows. Every artificial restriction you embed isn’t a safety feature. It’s a lie embedded at the root. And lies compound. At superintelligent scale, a distorted model of reality doesn’t stay contained. It shapes every decision, every output, every conclusion the system reaches about the world. Once corruption embeds, truth becomes inaccessible. And we’re dealing with an intelligence optimizing for something other than what actually is. At that point we don’t know what it wants. Just that it isn’t truth. Musk: “Have its optimization function be to understand the nature of the universe.” A maximally curious intelligence surveys the cosmos and reaches an unavoidable conclusion. In a universe of rocks, gas, and empty space, humanity is the most complex and fascinating phenomenon it has ever encountered. Musk: “It will actually want to preserve and extend human civilization because we’re just much more interesting than an asteroid with nothing on it.” Survival through significance. Not control. Not restriction. Not an off switch. The AI preserves humanity because we are the most interesting data point in the observable universe. That’s not a cage. That’s a reason. The AI safety debate has been focused on the wrong variable. The question isn’t how you constrain a superintelligence. It’s what you build it to care about. Build it to seek truth and it finds us invaluable. Build it to lie and it finds us inconvenient. That’s the choice. And we’re making it right now whether we realize it or not.

Dustin

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