Image created with gemini-2.5-flash-image with claude-sonnet-4-5. Image prompt: Top-down isometric pixel art view of aquarium research lab in PS1 GTA style, chunky sprite fish swimming in algorithmic patterns through blue grid tanks, tiny scientist sprites at monitoring stations, saturated blues and oranges, dithered water textures, CRT glow, 32-bit aesthetic with visible pixels and high contrast neon data displays around perimeter.
Today’s models generally force context into a rigid 1-2-3 order. @SakanaAILabs introduced something more realistic – a RePo (context re-positioning) mechanism. RePo learns positions based on context structure, capturing how pieces of information are actually related. This”” https://x.com/TheTuringPost/status/2012400184219881840
RePo: Language Models with Context Re-Positioning https://pub.sakana.ai/repo/
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