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I build and align multimodal foundation models — teaching systems to perceive across vision, language, and audio, then sharpening their behavior through post-training and reinforcement learning, and serving them fast.
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class Researcher:
name = "clos"
role = "ai researcher"
focus = ["vlm", "post-training", "rl"]
systems = ["kv-cache", "tts", "3d"]
def philosophy(self):
return "less noise, more signal"
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— less noise, more signal —
