Garmin “Autoland” aka “Safe Return,” has been used for the first time, successfully.

Autoland is an emergency system, where a passenger can hit a big red button if the pilot is in incapacitated, which causes the airplane to make emergency radio calls, navigate to a nearby airport with a long runway and medical facilities, and conduct an instrument approach and landing, followed by a full shutdown when the aircraft comes to a stop on the runway. Large screens and voice announcements keep passengers updated along the way.

The nature of the medical emergency on Saturday, involving a King Air with an unconscious pilot, has not been disclosed.

https://avbrief.com/autoland-saves-king-air-everyone-reported-safe/ #avgeek

I want to share the exploits of Great-Aunt Gertie because of the importance her tales have become for many generations of people in our family.

Gertie was married before World War 2 to a man who turned out to be “a bad man”. She joined the women’s coast guard (SPARS) in order to get away from him and rose in rank to become an officer. Shortly after the war, she divorced her husband — virtually unheard of at the time.

In the 1950’s she rode a Harley and ran with a “rough crowd”.
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In your 40s, you learn not to trust joints. You shoulder hurts for days because you "slept funny," your knees hurt forever because bipedalism only evolved recently and is frankly still in beta, etc.

In your 50s, you learn that hands and feet are ENTIRELY MADE OF JOINTS.

Shower thought: way more food is "mostly just grain + cheese + tomato" than you would think

lasagna

spaghetti (marina + parmesan etc)

enchiladas

grilled cheese & tomato soup

nachos if there's salsa

I gotta be missing some

Please remember that some of the oldest "investment opportunities" in the history of finance were essentially investing in pirates who'd go steal things from people at sea.

It's always been a little like this.

Interesting paper by @irisvanrooijcogsci.com (h/t @sunstarsys on X ) about #AI

https://link.springer.com/article/10.1007/s42113-024-00217-5

Proves the Ingenia Theorem, which basically brackets the AI learning problem as NP hard.

NP hard means that one needs exponentially growing resources to learn more and more things.

At some point one runs out of atoms of the universe to do such scaling and this happens at the level of everyday problems we would like to delegate to AI.

Scaling is a chimera. Let's stop wasting resources

I've seen a few people post on Mastodon about how they would love a model railway, but can't, cos of space limitations. What if I was to tell you that you can enjoy model railways, even if you live in a tiny apartment.

This is a thread about standards and community.

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