templar(@tplr_ai):Templar builds the foundational knowledge. Grail sharpens the reasoning through RL post-training. @erfan_mhi's PULSE paper showed how to make distributed RL practical by cutting weight sync bandwidth by 100x. This week @FireworksAI_HQ confirmed the same approach works at 1T scale for @cursor_ai Composer 2. When Templar's next models are ready, Grail's infrastructure is proven at scale. Paper:

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templar@tplr_ai

2026.03.25 23:47

Templar builds the foundational knowledge. Grail sharpens the reasoning through RL post-training. @erfan_mhi's PULSE paper showed how to make distributed RL practical by cutting weight sync bandwidth by 100x. This week @FireworksAI_HQ confirmed the same approach works at 1T scale for @cursor_ai Composer 2. When Templar's next models are ready, Grail's infrastructure is proven at scale. Paper: