Great communication starts with staying present in the conversation.👋 In this 2-minute video, explore how focused listening and curiosity can strengthen customer conversations. #ActiveListening# #CustomerCommunication# #CommunicationSkills#

UPDATE! Human Synapse Decoder has a massive AI model update! In the video below, this is me learning something in realtime! I go from active listening to inner contemplation as the AI feeds out a single word at a time for me to read and hear. This is the Symbiotic Feedback loop of the Human Synapse Decoder were the AI adjusts outputs based on MY cognition. I use off the shelf brainwave detection circuits in a pipeline of 5 AI models decoding the 36 signals from my crude cap. Reading brainwave is not new. What is new, for the first time built a closed loop system where the AI can understand if the outputs are being useful and adjust in real-time dynamically. The float from Attention to Meditation is vital to understanding. You hear a point, you consider a point. Someday your Local AI will do this and you may just let your AI use other AI. More soon…

Cox Media Group and two marketing companies were fined by the U.S. Federal Trade Commission for claiming they could use phones and smart devices to listen to conversations for targeted advertising. The companies promoted a service called “Active Listening,” which they said could detect what people were talking about and deliver personalized ads. Their marketing materials suggested everyday conversations could be turned into advertising data. According to the FTC, investigators found no evidence that the companies were actually spying on people through phone microphones at a large scale. Regulators said the businesses mainly relied on ordinary consumer data and made misleading claims about advanced listening technology. As part of the settlement, Cox Media Group agreed to pay around $880,000, while MindSift and 1010 Digital Works also paid fines. The companies can no longer make unsupported claims about collecting voice data or having user consent.

🎙️ Giving Rovo a distinct visual dialect We’ve been working what it means to balance the scaling power a cohesive design language, along with the need for AI to have its own distinct "dialect" to help users build comprehension of the system state. I wanted to spotlight the work of Deborah Lindberg, who’s been exploring that space of intersection between the Atlassian Design System and Rovo. Two aspects that I particularly appreciate - first, is the how the team is executing motion to signal the "active listening" state - and secondly, how we're using variables to prototype different paths.

Congratulations to @nuance_ai on the $50M Series A led by @lightspeedvp, with @Accel, @spc, @nvidia, and @definevc joining the round. What makes Nuance Labs compelling is that the team is working on a problem most AI products still avoid: human conversation is about much more than words. Tone, timing, gaze, hesitation, facial expression, and the simple act of showing that you are listening all carry meaning. The founding team has unusually deep experience for this challenge. Fangchang Ma, Edward Zhang, and Karren Yang are former Apple researchers with PhDs spanning robotics, machine learning, computer graphics, and audiovisual synthesis. They have spent years working on how machines perceive, reconstruct, and respond to people. Their approach is also refreshingly ambitious. Instead of stitching together transcription, an LLM, voice generation, and facial animation, Nuance Labs is building one full duplex audiovisual model that can see, hear, reason, speak, and express itself in real time. That distinction matters. Most AI avatars still pause awkwardly, interrupt at the wrong moment, or stare blankly while someone is speaking. Nuance is treating responsiveness and active listening as part of the model itself, not as polish added later. There is a huge opportunity here across coaching, education, sales, customer service, training, and any setting where trust and communication affect the outcome. As AI becomes more capable, raw intelligence will not be enough. The products people actually want to spend time with will also need presence, timing, and emotional awareness. Nuance Labs has the technical depth, product conviction, and patience to take on this hard problem properly. Excited to see the public research preview later this year. This is one of the teams pushing human AI interaction in a genuinely important direction.