The missing layer in wind AI: safety. We combine deep RL with control theory—bounded actions, fallback PID, physics-aware constraints. Because wind farms are too critical for 'move fast and break things.' 🌬️⚡ www.eshmunai.com #Wind #Renewables #AI #WindEnergy

Have you encountered definitions of AGI that avoid these philosophical problems? What criteria would you use to determine if a system possessed “general intelligence”? open.substack.com/pub/ahmedkha... #AI #Philosophy #Technology

At 200 mph tip speeds, wind turbine AI can't afford to be 99% right. That's failure every 3.6 days. Safe AI in renewables means knowing when to say "I don't know" and hand control to humans. www.eshmunai.com #WindEnergy #AISafety #CleanTech

Every 1% efficiency gain in wind = $200K/year/100MW. 9-month payback. 88% of AI energy research never leaves the lab. New essay on why Deep RL is finally bridging the deployment gap—impact on $50-100B AI energy market. Full analysis ⬇️ buff.ly/bDPhBjT #AI #ClimateTech #DeepReinforcementLearning

Delve into the forefront of process control by examining Model Predictive Control (MPC), Deep Reinforcement Learning (DRL), and mixed techniques. These innovative strategies are revolutionising Industrial AI. #AIInnovation #ProcessControl

Why most industrial AI fails: A tale of three approaches. MPC: Optimal in theory. Brittle in practice. 52% performance loss under real-world conditions #IndustrialAI #ReinforcementLearning #ModelPredictiveControl #ControlSystems #IndustrialAutomation #MachineLearning #SmartManufacturing

Wind farms using AI to coordinate turbines like a flock of birds—upstream turbines steering wakes away from neighbours. Results: 8-33% more power, decisions in <30 secs, adaptive to changing winds. Still challenges with rapid shifts, but DRL is reshaping renewable energy. 🌬️ #WindEnergy #DRL #AI

Your C-XOs think agentic AI is just ChatGPT They're wrong. Real production AI needs: Orchestrated reasoning chains MCPs + tools Proprietary ML Hallucination controls Enterprise arch It's accessible, but it's engineering. #AgenticAI #EnterpriseAI #AITransformation #DigitalTransformation #MLOps

LLMs dominate public attention 📈, but the fundamentals making them possible (reinforcement learning, deep RL) remain niche. Are we over-indexing on LLM hype and missing the next breakthrough in the “quiet” methods? #AI #LLM #ReinforcementLearning #DeepLearning #AITrends #TechLeadership #FutureOfAI

Double down! #ClimateAction #AIforGood #AutonomousSystems

While governments dismantle climate policies, we're dismantling the cost barriers to clean energy. Our AI makes wind farms many % more efficient—that's millions in ROI without a single new turbine. When others retreat from doing what's right, we double down. #ClimateAction #WindEnergy #AIforGood

🧠 New AI architecture mimics brain's hierarchical processing: HRM achieves 40% on AGI benchmarks with just 27M params & 1K examples. Solves extreme Sudoku at 74.5% (GPT-4: 0%). Dual-module design enables deep reasoning whilst training 100x more efficiently. 📄 arxiv.org/html/2506.21734v3 #ai

Grid operators: What if you could see Monday's 6 PM peak... on Friday morning? Our AI predicts energy demand 72 hours out with 94% accuracy. Result: 40% less curtailment. Zero surprises. Millions saved. The grid doesn't need more generation. It needs better foresight. 🔮⚡ #SmartGrid #EnergyAI

Every wind turbine is operating at peak efficiency. Our AI disagrees. We autonomously control turbines globally, making micro-adjustments every second. Average gain: +10.7% output. That's 3,124 MW of extra clean energy from the same steel in the ground. 💨⚡ #WindEnergy #AI #CleanTech