First step was but d... • 2d
In 2024, companies wasted over $50 BILLION on AI implementations that failed in production. Here's why 85% of Fortune 500 companies have blocked ChatGPT from their systems—and what you can do about it. 🚨 THE PROBLEM: AI hallucination is costing enterprises millions. When ChatGPT confidently fabricates facts, invents sources, and makes up entire realities, the consequences are catastrophic: Healthcare: Wrong drug interactions (340% increased bleeding risk) Finance: $1.5M SEC fines for incorrect compliance advice Legal: Lawyers sanctioned for submitting fake court cases Customer Service: Lawsuits when chatbots make false promises ⚠️ REAL COSTS BREAKDOWN: $15B: Wasted API calls on hallucinated outputs $20B: Human review overhead to catch AI errors $8B: Legal settlements and regulatory fines $7B: Lost productivity from rework 📊 CALCULATE YOUR COST: At 500K requests/month, your company could be wasting $200K-400K annually on AI that lies to you. 🔬 THE SOLUTION: Introducing μ-Convergence: A physics-based approach that mathematically verifies AI outputs BEFORE they reach users. No more hallucinations. No more guesswork. Just reliable, verifiable AI reasoning. 📥 FREE RESOURCES: Technical White Paper: [https://lnkd.in/ga34EibM...] "Why LLMs Are Black Boxes (And Why That's Killing Enterprise Adoption)" Watch how regulatory requirements are forcing companies to abandon AI: 🎯 WHO SHOULD WATCH: CTOs & VPs of Engineering AI Decision Makers Enterprise Architects Compliance Officers Anyone deploying AI in production 💼 ABOUT US: We build deterministic AI systems for enterprises that can't afford hallucinations. Our HSRAI (Hybrid Semantic Reasoning AI) platform uses physics-based verification to eliminate false outputs. Products: ISRE: Intentional Semantic Reasoning Engine URCM: Unified μ-Resonance Cognitive Mesh PromptShield: 80% token cost reduction PTIL: Cross-lingual semantic compression 🔔 SUBSCRIBE for weekly videos on: AI reliability & explainability LLM cost optimization Regulatory compliance Enterprise AI architecture 📧 CONTACT: LinkedIn: [https://lnkd.in/gav6YdKX] GitHub: [https://lnkd.in/gEJZFntN] hashtag#AIHallucination hashtag#EnterpriseAI hashtag#ChatGPT hashtag#LLM hashtag#AIReliability hashtag#MachineLearning hashtag#AICompliance hashtag#AIStrategy hashtag#CTO hashtag#TechLeadersh

Founder | Agentic AI... • 4d
Real Agentic AI is a multi-layered system, where each layer solves a specific challenge from reasoning to compliance: 1. LLM (Core Reasoning) – Handles language understanding and generation. Alone, not enterprise-ready. 2. RAG (Retrieval Layer) – G
See MoreFounder of Renron en... • 6m
Just dropped: LOFO – A custom display font designed especially for logos and brand identities. Every letter in LOFO is built with bold geometry, sharp alignment, and minimal curves, making it perfect for: Tech startups Design agencies AI brands Produ
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building hatchup.ai • 5m
Oracle rolls out OpenAI’s GPT-5 across Fusion Cloud, NetSuite & Oracle Health! Now in API (3 sizes) + ChatGPT Enterprise—GPT-5 powers code generation, multi-step reasoning, debugging & more. Leverages Oracle AI Vector, Select AI & SQLcl MCP for secur
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Founder Snippetz Lab... • 6m
I’m building an AI-first architectural engine that converts natural language prompts into parametric, code-compliant floor plans. It's powered by a fine-tuned Mistral LLM orchestrating a multi-model architecture — spatial parsing, geometric reasonin
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