Mastodawn

Our friend the Chachapoyas Stubfoot Toad is also known as the Peruvian Harlequin Frog! They live in a small area in the Andes mountains of northern Peru! They are extremely rare and have only been spotted a few times since they were first discovered in 1989! (photo by andes2amazonexpeditions)

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kaoudis 1h ago

@hexamander this is the thing that kills me about the “stop hiring humans” AI advertisement spree. It just means those who are senior now have to do the junior (basics) work since we can’t hire juniors anymore but still need the basics done, since that’s like 90% of the work

kaoudis 1h ago

hexamander 2h ago

"stop doing the basics," says every absurd advertisement ever, as if excellence in the basics isn't 90% of excellence.

kaoudis 2h ago

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Camellia Tea Ceremony 10h ago

The great petal shedding begins🌸🤗✨

#Kyoto #京都 #Japan #木屋町 #Kiyamachi #sakura #桜 #cherryblossoms #blossoms #kyotoscenes

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kaoudis 12h ago

@regehr I have started proactively yelling at Siri over my shower curtain to put shampoo on the grocery list the second I notice because otherwise no shampoo

kaoudis 1d ago

Hop on board, tree

kaoudis 1d ago

Catalin Cimpanu 1d ago

The US Army has reduced the frequency of mandatory cybersecurity training from once a year to once every five years

https://defensescoop.com/2026/03/31/army-cybersecurity-training-policy-change/

Commanders now responsible for cybersecurity training after Army cuts online course requirement to once every 5 years

Commanders are now responsible for preparing their soldiers and civilians on cybersecurity, according to a senior service official who said the change was intended to give unit leaders more flexibility.

DefenseScoop

kaoudis 1d ago

72 Microseasons 1d ago

A new microseason in the "Pure and clear" (清明 Seimei) division has begun:

Swallows return (玄鳥至 Tsubame kitaru)

This microseason will last until April 9.

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kaoudis 1d ago

@lindsey @colinstu @jonny I think that’s part of it… but, I haven’t seen model training code I thought was particularly efficient before, and the general vibe made me wonder how much the people working at big AI prioritize efficiency if at all. Maybe they do and I’m not looking at the right things, I’ve mainly seen code published with academic papers in that space vs anything from industry, but my understanding is the gap between those two things for ML is not that wide

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