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Curated tech posts from X on AI, startups, and product development—signal without the doomscroll, updated on weekdays.
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Some data points comparing GPT-6 Luna's performance on ARC-AGI-1 and 2 vs GPT-5.6 Luna: GPT-6 Luna used about 25% fewer reasoning tokens overall across public v1/v2 tasks and reasoning levels. Scores improved at some levels and declined at others. For example, across all v2 public tasks with max reasoning: - GPT-5.6 Luna scored 64.2%, averaging 152k reasoning tokens/task - GPT-6 Luna scored 61.8%, averaging 117k reasoning tokens/task On v1 public tasks at max, the score increased from 91.3%…



