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Dear Readers,
Sometimes it seems as if the line between science fiction and everyday life is gradually blurring. Today, machines not only talk to us, they are also beginning to understand us almost without words. Technologies such as AlterEgo and new humanoid robots give us a glimpse of how quickly interfaces between humans and AI are being reimagined—quieter, more intuitive, almost self-evident. The question is no longer whether this future will come, but how we will shape it.
In this issue, we dive into robot hands that are learning to be more sensitive than ever before, a Chinese company that wants to bring flying cars and Level 4 autonomy to Europe, and experiments that make machines move more humanly. We also take a fresh look at silent communication with AI – a field that could radically change communication. All of this shows that we are in the midst of a transformation, and the most exciting chapters are just beginning.
In Today’s Issue:
🤐 You can now talk to your AI without saying a single word out loud
🚗 A Chinese EV maker is bringing flying cars and humanoid robots to Europe
🦾 This new exoskeleton lets you control a robot hand as if it were your own.
🤖 Boston Dynamics' Atlas robot can now learn complex, human-like movements with a single AI brain
✨ And more AI goodness…
All the best,
The Next Wave of AI
New advances in robotics and intuitive human-AI interfaces, from sensitive robot hands to silent communication, signal a future where technology is becoming more seamlessly integrated into our physical world.
DEEPRobotics Scales Up
DEEPRobotics has announced that it has successfully achieved mass production and delivery of its full series of quadruped robots, making them now available as a proven and reliable solution for industrial AI.
The Unsung Heroes of OpenAI
OpenAI CEO Sam Altman has publicly credited researchers Jakub Pachocki and Szymon Sidor as two of the indispensable figures behind the company's biggest breakthroughs, including their foundational work on GPT-4 and AI reasoning.
Sam Altman and Vinod Khosla discuss where AI will take us. A very worthwhile interview!
The Takeaway
👉 Silent input is technically feasible and highly accurate
👉 Offers tremendous opportunities for people with speech impairments
👉 Discreet interaction changes how we interact with AI in everyday life
👉 Sets a milestone for new human-machine interfaces
AlterEgo shows how close we already are to almost silent communication with AI. The device does not read minds, but recognizes tiny muscle movements in the jaw that occur when you “speak” words internally. These signals are translated into text or commands, and the AI provides answers via bone conduction—audible only to the wearer. This creates an interface that is more discreet than speech and more immediate than typing.
For the AI community, this offers enormous potential. People with speech impairments could gain a new form of participation, while for everyone else, a whole new avenue of access opens up: private, fast, and unobtrusive communication with machines. The MIT prototype of AlterEgo has already achieved a recognition accuracy of around 92% and shows that this vision is technically feasible. So this is not science fiction, but a technology that is about to fundamentally change the way we interact with AI.
Why it matters: Because AlterEgo rethinks language and brings machines closer to our way of thinking. Because it shows that communication with AI can become more direct, inclusive, and natural.
Sources:
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XPENG is catching up!
XPENG is showcasing five new vehicle models and technologies at the IAA in Munich – including humanoid robots and flying cars. They are opening a new R&D center in Europe and aiming for series production of Level 4 autonomous vehicles by 2026. This step elevates them from an electric car manufacturer to a comprehensive AI mobility ecosystem – global and with Europe in its sights. Looking to the future: mobility and robotics are merging, networked, cross-border, and more intelligent.
DEXOP - A passive hand exoskeleton
MIT and UC Berkeley present DEXOP – a passive hand exoskeleton that mechanically transfers every human finger movement directly to a robotic hand while providing visual, tactile, and proprioceptive feedback. This enables intuitive and significantly faster data collection for delicate, contact-intensive manipulation tasks in natural environments. Learning robots benefit from higher accuracy per unit of data collected – a powerful game changer for robot manipulation beyond traditional teleoperation.
This Robot Only Needs a Single AI Model to Master Human-like Movements
Boston Dynamics' Atlas learns to walk and grasp objects using a single AI model instead of fragmented specialized models. This allows Atlas to combine complex movements and react spontaneously to changing situations, such as picking up lost objects independently. A push toward generalist robotics that acts in a more flexible, adaptive, and human-like manner. Future potential: robots that solve everyday situations with AI – not a different team for each task.
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