Peter Gum retweeted
Daemon Targaryen placing Viserys’s crown back on his head was one of the most powerful moments in House of the Dragon, and it wasn’t even scripted.
What makes this scene so emotional is the history between the two brothers. Daemon had spent years feeling overlooked, had openly desired power, and once believed he deserved to stand beside the Iron Throne. Yet, when his brother struggled to reach it, Daemon didn’t see an opportunity to claim what he once wanted. He saw his dying brother.
That single gesture revealed something words never could: beneath Daemon’s arrogance, ambition, and unpredictable nature was a man who genuinely loved his brother.
For once, there was no rivalry, no political calculation, and no struggle for recognition. Just a younger brother helping his elder brother reclaim his dignity in front of the entire court.
Daemon didn’t need to wear the crown to show his loyalty. In that moment, he showed that Viserys was still his king, but more importantly, his brother.
Sometimes the most powerful moments in Westeros aren’t decided by swords, dragons, or battles. They’re found in the smallest gestures.
Peter Gum retweeted
ROBOTS ARE LEARNING TO QUESTION THEIR OWN MEMORIES.
MIT researchers have developed a system called UQ-DAAAM that allows robots to detect and correct unreliable information stored in their memory.
Here is the problem: a robot might mistake a chimney for a squirrel because it only saw a blurry image. That incorrect description could remain in its memory and affect future decisions.
The new system compares images of the same object from different angles. When something looks uncertain, it gathers additional visual evidence and updates its stored description.
In experiments, it resolved uncertainty for approximately 92% of objects and improved description accuracy by 5%.
This matters because robots cannot safely operate in the real world if they treat every observation as fact.
The next generation of robots needs more than better vision. It needs the ability to recognize when it might be wrong
