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

Industrial control isn't about AI hype. It's about systems that work when models are wrong, sensors drift, and Murphy's Law applies.

#IndustrialAI #ReinforcementLearning #ModelPredictiveControl #ControlSystems #IndustrialAutomation #MachineLearning #SmartManufacturing

Hybrid Intelligence: 95-100% performance. Mathematically stable. Actually deployable. Combines data-driven learning with control theory stability guarantees.

#IndustrialAI #ReinforcementLearning #ModelPredictiveControl #ControlSystems #IndustrialAutomation #MachineLearning #SmartManufacturing

Pure DRL: Adapts to uncertainty. But can you trust it with million-dollar equipment? No formal safety guarantees when it matters most.

#IndustrialAI #ReinforcementLearning #ModelPredictiveControl #ControlSystems #IndustrialAutomation #MachineLearning #SmartManufacturing

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