Brett Adcock on X: “Apple researchers debuted EMOTION, an AI framework for generating human-like motion in humanoids The approach uses LLMs’ and VLMs’ contextual understanding to capture social contexts and execute relevant movements in response, like giving a thumbs-up https://t.co/9cevM1VJkM” / X – https://x.com/adcock_brett/status/1888634936363536403
Introducing Apple Invites, a new app that brings people together – Apple https://www.apple.com/newsroom/2025/02/introducing-apple-invites-a-new-app-that-brings-people-together/
Two really nice recent papers from Apple machine learning research: – Scaling laws for MoEs – Scaling laws for knowledge distillation Work by @samira_abnar @danbusbridge et al. https://x.com/awnihannun/status/1890063767343706386
OpenAI employees hyping up their fancy high production value ad only shift the vibes further off for me Whale’s silent huggingface splash > mistral’s magnet gimmick >>>> high quality adds for a leading lab I get it, you’re not aiming at TPOT, you’re an Apple type corp now. cool / X https://x.com/teortaxesTex/status/1888879403867787485
Apple is exploring both humanoid and non-humanoid robots for its future smart home ecosystem, and these products are still in the early proof-of-concept (POC) stage internally. While the industry debates the merits of humanoid vs. non-humanoid designs, supply chain checks / X https://x.com/mingchikuo/status/1889694419907125342
Apple Partners With Alibaba to Develop AI Features for iPhone Users in China — The Information https://www.theinformation.com/articles/apple-partners-with-alibaba-to-develop-ai-features-for-iphone-users-in-china
More deep research updates 📱🖥️ Deep research is now available to all Pro users on mobile and desktop apps (iOS, Android, macOS, and Windows). / X https://x.com/OpenAI/status/1889812348581634146
OLMoE, meet iOS | Ai2 https://allenai.org/blog/olmoe-app
Apple Stock: Will iPhone Creator Make A Humanoid Robot? | Investor’s Business Daily https://www.investors.com/news/technology/apple-stock-humanoid-robot-in-development/
Apple team shows self-driving AI can learn entirely by practicing against itself – no human driving data needed. In testing, their system averages 17.5 years of continuous driving between incidents, far surpassing humans. All through self-play, not imitation. https://x.com/emollick/status/1887672549783286054
