Exclusive interview: Inside Meta’s AI glasses master plan https://www.therundown.ai/p/inside-metas-ai-glasses-master-plan
Happy to see a failed live demo 100/100 times rather than a BS scripted demo Making new technology is hard Having to demo it live takes balls Big props to Meta for giving it a shot 👏”” / X https://x.com/mrdbourke/status/1968506328613347797
Meta AI’s live demo failed for the entire minute 😢 https://x.com/nearcyan/status/1968468841786126476
Surface EMG is magical. Meta managed to squeeze this tech into a svelte wristband to pair with their Ray-Ban AR glasses. Here’s how it works. Imagine walking around your home controlling any display / device with Vision Pro like touch gestures. https://x.com/bilawalsidhu/status/1967805086379413821
The Meta Raybans thing is very cool regardless of live demo failures”” / X https://x.com/aidangomez/status/1968609969848164641
The new Meta Rayban glasses w/ an in-lens display are cool, but the EMG wristband is INSANE. Signals through the wrist are so clear that surface EMG can understand finger motion of a millimeter. Literal sci-fi gesture input is here. https://x.com/bilawalsidhu/status/1967690327751528451
“How a rock learns to think.” These STEM reels are amazing! Is this the antidote to short form brainrot? https://x.com/bilawalsidhu/status/1966073881103606133
feeling really bad for the Meta OS team https://x.com/nearcyan/status/1968473003592990847
wow, a live demo of silently writing a message with Meta neural band on the Meta Ray-Ban Display, pretty cool https://x.com/iScienceLuvr/status/1968471538350583993
Congrats to @deepseek_ai ! DeepSeek-R1 was published in Nature yesterday as the cover article, and vLLM is proud to have supported its RL training and inference🥰 https://x.com/vllm_project/status/1968506474709270844
DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning | Nature https://www.nature.com/articles/s41586-025-09422-z
Nature Portfolio also addressed this on Zhihu: Publishing this paper is itself a significant milestone👏 🤔 DeepSeek-R1 learns step-by-step reasoning with minimal human help: • Reinforcement learning: correct answers get rewards, mistakes penalized • Learns to self-verify & https://x.com/ZhihuFrontier/status/1968603082167828494
We did Google I/O back to back years with NotebookLM and both nights before the show I literally didn’t sleep. The first year of I/O (2023) we were going to live demo Notebook (Project Tailwind) and announce it to the world. Google Labs was fairly unknown and this was our one https://x.com/raizamrtn/status/1968508322329575452
Technology is here to serve us, not to have its own will and motivation and independent desires. These are systems that should work for humans. They should save us time; they should make us more creative. That’s why we’re creating them.”” / X https://x.com/mustafasuleyman/status/1967980798952292860
🎙️ In this episode, I talk with @Vikashplus, Adjunct Professor at Carnegie Mellon and founder of @MyolabAI, where he’s building human-embodied AI systems: We talk about growing up in a small Indian town, the influence of his mother on his early learning, and how a robotics club https://x.com/IlirAliu_/status/1966126330032042508
