Old_light
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What Kenta didn't go to China with his mom after Leviathan handed him an emotional L? What if, instead, Alexandria decided that she couldn't let one of the highest-cap parahumans slip through the Protectorate's fingers?
Minor-ish AU, just an idea that'd been kicking around in my head for a while.
Bookmarked by Old_light
25 Jun 2026
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Taylor wakes up one morning and contemplates life and her priorities in it.
Bookmarked by Old_light
24 Jun 2026
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“You don’t have to leave,” Makoto responds.
“I know,” Akihiko says, and he smiles before he straightens up. He sets a hand on Makoto’s head, ruffling the messy hair a little. “But you won’t hurt my feelings if you ask for the apartment to yourself for tonight. I know you don’t get that very often.”
Makoto’s face does something odd, fast enough that Akihiko isn’t able to parse what exactly is running through his head. He turns away and fidgets with a piece of his hair, so Akihiko moves to take his hand back from his partner’s head, only to stop when Makoto angles as if to lean after the touch. Slowly, Akihiko cards his gloved fingers back through Makoto’s bangs, drawing them away from his eyes and getting a better look at his expression. He does look exhausted, but it’s more than the standard tiredness that Akihiko had once gotten used to seeing on his face… Makoto’s lower lip is reddened from chewing on and he hasn’t met Akihiko’s eyes once since he opened the door.
His shoulders sag. “I don’t want to be alone,” Makoto mumbles.
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Akihiko comes over to tend to Makoto during a rough mental health stint.
Bookmarked by Old_light
09 Jun 2026
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Kotone knows she promised Shinjiro she wouldn't cry. She knows it's important to keep her promises. She just wished he didn't make it so hard.
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09 Jun 2026
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Andrew Richter was one of the world's greatest tinkers, but he was also an isolated, lonely man. When it came time to give Dragon a social interface, he found himself hopelessly out of his depth. In the end, he just cobbled together a program that would allow Dragon to respond to prompts with the most relevant words and phrases according to her training data. Some kind of "large language model."
This had unintended consequences.
Bookmarked by Old_light
08 Jun 2026