Attending CVPR in Denver next week !
Over the last year, I have been working on Apple Intelligence. It has been a fun ride transitioning back to IC in the age of Claude Code and building on the current LLM stack. We are hiring across the board for strong ML scientists.
Looking forward to catching up with colleagues and friends. Hit me up if you are attending !
#CVPR
At CVPR this week and looking to meet people thinking about:
• social/contextual multimodal agents
• long-term memory and personalization in VLMs
• post-training/RL for multimodal reasoning
• mechanistic interpretability / internal representations
• interaction and social dynamics in video
I’ll be mentoring at LatinX in AI on Wednesday and at Apple Booth (#231) Saturday 2:30–4:30. Otherwise planning to spend time around IPA, MAR/CVinW, embodied-agent sessions, and social/memory posters. Happy to chat.
#CVPR2026
@minhsmind You are right that thinking is mostly shared / communicate through words , though for AI to build some form of intelligence, it also needs to experience the world ? That's how world models come in, I assume people who only read with no experience would be better examples ?
@pitdesi Did not have a good experience with Kolapasi, not close to good South Indian . Luv the other two , happy to get good Jalebi in the city . Besharam is so good
@LvZhaoyang Yes, most robotics companies are sort of trying it and it falls within that boundary imo. Defining tasks and using them in a generic manner is what is missing. For example, if a FM knows how to open a jar, the models generalize to most shapes of the jar, but 3dness of it is not.