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스콧 베센트는 이미 해상으로 운송 중인 이란산 원유에 대한 제재를 해제할 수도 있다고 밝혔다. 정말 발등에 불 떨어졌나봅니다. (이놈의 유가가 뭔지....)

탈모전문의👨‍🔬가 말하는 확실한 탈모 예방방법‼️ 1. 반드시🚨 저녁에 미지근한 물로 머리감기. →밤 10시~새벽 2시까지 두피 재생이 제일 활발함 2. 두피 자극없이 부드럽게 마사지💆‍♀️ → 혈액순환 촉진 + 모낭 건강 유지 3. 찬 바람으로 말리기🍃 4. 스트레스 받지않기😱(만병의 근원) 저도슬슬.

점심 먹고 잠깐 서점📚 추억이 새록새록~ 🍪 맛점하시고 오후도 화이팅하세요🔥

Ashok Elluswamy, Tesla's AI lead, during a GTC discussion, highlighting the fundamental similarity in AI approaches for self-driving cars and humanoid robots: - Hierarchical decision making is useful, but it has to be done as part of the same decision-making process as lower-level controls. - We haven't seen the long tail of humanoid robotics, but Tesla has seen the long tail of self-driving, where high and low-level decisions have to be jointly made at a pretty high framerate. - Optimus's architecture is designed in a similar way, where there's a hierarchy but it's all running as part of the same model and the latencies involved in decision making are well modeled. - This architecture will scale quite well with humanoid robots. - The distinction of the decision-making levels is only in the developer's mind. For the model, it's a continuous space of decision making, where there are dials available to make them more fine or coarse. - Humanoids have more sensor modalities and higher degrees of freedom compared to self-driving, but the fundamental constraints remain the same: you need to make real-time decisions. There's obviously a hierarchy to these control signal outputs, but the lowest frequency cannot be too low, because the safety of the robot cannot depend upon things running at very low frequencies.