ai-powered | GIZMODO.cz

Every year at CES, Razer has some exciting tech on offer. This year is no different as they’ve come up with headphones that go beyond audio nirvana. Dubbed Project Motoko, the over-ear headphones are the next frontier of wearable AI, since they have eyes. Yes, the concept cans are loaded with a pair of Sony 4K cameras (with 12MP resolution), to make you ditch your smart glasses for good reason. Since most of us wear headphones more than smart glasses, this innovation makes complete sense.

AI is the name of the game at this year’s CES, even though we’ve seen cramming of machine learning technology in things where it makes no sense or is not useful at all. The Motoko headphones are different as they build on an accessory we already use a lot. The in-built cameras analyse the world around you, seeing what the user sees, in first-person view. They can do pretty much what other smart glasses can, and yes, they play ear-pleasing music when you need to zone out.

Designer: Razer

According to Nick Bourne, Global Head of Mobile Console Division, Razer, “By partnering with Qualcomm Technologies, we’re building a platform that enhances gameplay while transforming how technology integrates into everyday life. This is the next frontier for immersive experiences.”

Motoko headphones can do translations in real time, beam weather updates, provide navigation input, and a whole lot more. The biggest advantage Razer should be appreciated for compared to smart glasses is that the Motko can fetch information from multiple AI assistants, including Grok, Gemini, ChatGPT, Perplexity, and Meta. Most basic functions run on the headphones, like checking the calendar updates and schedules. For other deeply embedded tasks, you have to pair them with a phone or PC. For the most part, someone unassuming won’t be able to tell the difference between a normal pair of headphones and these.

The headphones are built on the Qualcomm Snapdragon platform, making them AI-powered in a real sense. You can recognize objects, track exercises, or even summarize information. The stereoscopic vision extends the field of view beyond the human peripheral vision capabilities. In combination with the audio input and the far-and-near field microphones, the headphones detect dialogue, voice commands, or ambient noises. Thereby, the headphones use all this data in machine learning applications, which ultimately assist the user in daily tasks, work, and, of course, gaming. Down the line, you could be using them for preparing meals in the kitchen, immersive AI guidance in strategy games, or translating in real-time when travelling abroad.

As per Ziad Asghar, SVP and GM of XR at Qualcomm Technologies, they are thrilled to work with Razer to push “AI wearable computing into a new era where intelligence, performance, and immersive experiences converge.” There is no word yet on the probable timeline for the release of the headphones, but they definitely are exciting tech to experiment with and use in daily life. The AI-assisted feature should work at a deeper level with the headphones, and it’ll be exciting to use them hands-on.

The post AI-powered Razer Motoko headphones with 4k cameras do what smart glasses can first appeared on Yanko Design.

We have come a long way from the computers the size of entire rooms to the sleek personal computers that sit comfortably on our desks. The evolution of computing has consistently pushed toward smaller form factors and greater efficiency. The Mac mini, for example, illustrates how compact modern PCs have become. Yet the question persists: how miniature can a powerful computing device truly be? A recent Guinness World Records certification offers a striking answer.

Tiiny AI, a US-based deep-tech startup, has unveiled the Pocket Lab, officially verified as the “world’s smallest personal AI supercomputer.” This palm-sized device, no larger than a typical power bank, is capable of running large language models (LLMs) with up to 120 billion parameters entirely on-device, without relying on cloud servers or external GPUs.

Designer: Tiiny AI

At its core, the Pocket Lab aims to make advanced artificial intelligence both personal and private. Traditional AI systems often depend on cloud infrastructure, which can raise concerns around data privacy, latency, and carbon emissions associated with large server farms. The Pocket Lab addresses these issues by enabling fully offline AI computation. All processing, data storage, and inference happen locally on the device, reducing dependence on internet connectivity or cloud resources.

Despite its compact size, measuring 14.2 × 8 × 2.53 centimeters and weighing roughly 300 grams, this mini supercomputer delivers noteworthy computing power. The system operates within a typical 65-watt energy envelope, comparable to a conventional desktop PC, yet manages to support extensive AI workloads. The hardware architecture combines a 12-core ARMv9.2 CPU with a custom heterogeneous module that includes a dedicated Neural Processing Unit (NPU), together achieving approximately 190 TOPS (tera-operations per second) of AI compute performance. This configuration is backed by 80 GB of LPDDR5X memory and a 1 TB solid-state drive, allowing large AI models to run efficiently without external accelerators.

Two key technologies underpin the Pocket Lab’s ability to run large models so efficiently in such a small package. TurboSparse improves inference efficiency through neuron-level sparse activation, reducing computational overhead while preserving model intelligence. PowerInfer, an open-source heterogeneous inference engine with a significant developer following, dynamically distributes workloads across the CPU and NPU, delivering server-grade performance at far lower power and cost than traditional GPU-based solutions.

In practical terms, the Pocket Lab supports a wide ecosystem of open-source AI models and tools. Users can deploy popular LLMs such as GPT-OSS, Llama, Qwen, DeepSeek, Mistral, and Phi, alongside agent frameworks and automation tools, all with one-click installation. This broad software compatibility extends the device’s usefulness beyond enthusiasts and hobbyists to developers, researchers, professionals, and students.

By storing all user data and interactions locally with bank-level encryption, the Pocket Lab also emphasizes privacy and long-term personal memory. This feature contrasts with many cloud-based AI services that retain data on remote servers. Tiiny AI plans to showcase the Pocket Lab at CES 2026, but has not yet disclosed full details on pricing or release dates.