Menu

michel

About michel

Posts by Michel Kohanim:

standards

Do We Really Need Standards for Demand Flexibility?

No, we don’t!

Why? Because when devices describe themselves, their capabilities, and properties, you can fine-tune an LLM to understand what you mean without you having to spell it out. 

Examples:

“What’s the cabin temp?”
→ Cabin Temperature for Batmobile is 72°F
(It knows you mean your Tesla’s cabin. Because you have one!)

Make it multi-device:

“How much charge do I have, how many miles can I drive, and what’s the price?”
→ State of Charge: 44.72%
→ Range: 111.2 miles
→ Utility Price (oadr3): $0.0864

Not just energy:

“Is it paired? And what’s playing?”
→ PulseSound: Paired (Bluetooth speaker)
→ YouTube Player: Classical

Stack properties and commands:

“Turn on both Hues, then set left Hue to red in 3 seconds and right Hue to blue in 4.”

Even automation & optimization:

“If price < $0.75 and range > 150 miles, set charge limit to 90% and start charging. But only on weekdays.”

Add a plugin platform for any device or service, and standards become irrelevant. Plugins describe themselves in English, and it just works because the platform understands what you mean!

That’s NuCore.ai: an MIT-licensed (FREE) fine-tuned LLM and natural-language platform for Smart Buildings. Run it locally at the edge (with llama.cpp) or in the cloud.

The age of standards is ending.

The age of understanding has begun. Come play with it today!

Smart,Home,With,Blue/light,Green,Glassmorphism,Our,Vision,Who,We

Is It Paired?

The short answer is Yes! Because it knows you’re talking about your Bluetooth speaker.

So why exactly do we still need mappings, ontologies, and standards just to adjust thermostat set points, charge a car, optimize DERs (Distributed Energy Resources), or even pair Bluetooth speakers or play music?

The short answer is: we don’t.

With NuCore.ai, a fine-tuned LLM and platform for Smart Buildings, MIT licensed and able to run locally at the edge or in the cloud, none of that is needed.

Things describe themselves in plain English at runtime. You speak to it as you would a person, and the model understands what you mean.

  • “What’s the cabin temp?”
    → Cabin Temperature for Batmobile is 72°F (it knows you’re asking about your Tesla’s cabin temp, because you have one!)

  • “How much charge do I have and how many miles can I drive and what’s the price?”
    → State of Charge for Batmobile is 44.72%
    → Estimated Range for Batmobile is 111.2 miles
    → Price for Utility Signals (oadr3) is: 0.0864$

  • “Turn on both Hues and then set left Hue to red in 3 seconds; set right Hue to blue in 4 seconds.”

  • “If price < $0.75 and miles I can drive is more than 150, set charge limit to 90% and start charging. But only on weekdays.”

The age of standards is ending.

The age of understanding has begun, and you are invited to play with everything right now!