In this video we show you how to replace an existing heating element with a new one using Shark Bite fittings. This is a fast easy way to swap a new heating element into your baseboard if the one that you currently have is getting old and has seen better days.
#homerepair #baseboardheat #sharkbite

“Yet each man kills the thing he loves,
By each let this be heard,
Some do it with a bitter look,
Some with a flattering word,
The coward does it with a kiss,
The brave man with a sword!

Some kill their love when they are young,
And some when they are old;
Some strangle with the hands of Gold:
The kindest use a knife, because
The dead so soon grow cold.

Some love too little, some too long,
Some sell and others buy;
Some do the deed with many tears,
And some without a sigh:
For each man kills the thing he loves,
Yet each man does not die.”

― Oscar Wilde, Selected Poems of Oscar Wilde including the Ballad of Reading Gaol

In this video I show you how to clean hot water baseboard heaters from the inside out in preparation for using an ozone generator to tackle odors. These simple cleaning steps can also be an essential annual maintenance of your baseboard heaters and will not only reduce musty household odors, but will also improve your baseboard heater efficiency. I will show you how to remove your radiator covers to clean all the dust and oils that can build up around your baseboard heater fins.

AI is bad at making things that are great. It's also bad at making things that are bad. The second half is the part worth talking about.

The trap isn’t AI. The trap is that 7 is easier to reach than it’s ever been, and 7 feels like enough.

The middle has never been more crowded. The interesting work is on the edges — the 1s and the 9s — and only one of those edges is still accessible to a tool. The other one is accessible to you, if you remember how to get there.

The skill now might just be knowing what a 1 used to feel like. And being a little suspicious of anything that lands at a 5.

https://fortune.com/2025/11/11/why-ai-adoption-is-failing-seven-mistakes/
November 11, 2025

Mistake #1: The business goal isn’t crystal clear
The fix: Be precise. Be clear. Take the time up front to crystallize the problem and expected ROI with all stakeholders right off the bat.

Mistake #2: The project is poorly managed

Mistake #3: You’re overpromising. Believing AI will solve everything is a recipe for disappointment

Mistake #4: Vastly underestimating the resources required

Mistake #5: Ignoring reality

Mistake #6: No offense, but your data quality is bad

Mistake #7: Think the project’s done? Not quite
While AI projects may have a clear start and finish, the work doesn’t end when the model is operationalized. AI systems are dynamic and models can drift, data can evolve and outputs can degrade over time. Treating AI like a “set it and forget it” initiative is a costly mistake. Without continuous monitoring, evaluation, and updates, your AI solution may lose accuracy, relevance, and trustworthiness.

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