consumer hardware

Car manufacturers with spare factory capacity are turning to defence work as a source of new revenue, with idle plants and underused pickup production lines being considered for military contracts. The move reflects growing defence budgets and weak demand in some consumer vehicle segments, prompting automakers to explore supplying military hardware and components.

A new open-source project called Strata claims it can run Alibaba's Qwen 3.8 Flash Next, a 125-billion-parameter model, on a single consumer RTX 4090 graphics card at roughly 100 tokens per second. If the benchmarks hold up, it would make a frontier-class large language model practical on gaming-grade hardware without a data centre, which is why developers are scrutinising the code and debating how the performance is achieved.

Apple is developing smart glasses that will launch without a display, according to a new report from RBC-Ukraine. The report also outlines a timeline for when the device is expected to reach consumers. The news has drawn attention as Apple continues to expand beyond the iPhone, with observers noting the decision may reflect current technical limits on integrating displays into lightweight eyewear.

Meta has launched a $1,300 pair of VR glasses that shift the company's focus from productivity and gaming tools toward entertainment as the core product experience. The high-end headset positions immersive viewing, media and leisure as the main selling point, sparking discussion about whether premium pricing can win mainstream consumers and what it signals about Meta's broader hardware ambitions.

Hackaday has published a new article looking at running AI directly on gaming PCs, focusing on the hardware side of the topic. The piece examines how consumer graphics cards and local machines can be used for AI workloads, a subject of growing interest among hobbyists and PC enthusiasts discussing local AI setups.

Meta is pushing its Muse technology as a feature it wants built into future consumer gadgets, according to TechCrunch. Beyond the headline, no further details about which devices, partners, or timeline are given, and there is no wider discussion yet. The story suggests Meta aims to embed this technology across a range of upcoming hardware products.

A GitHub project called Strata claims it can run the Qwen 3.8 Flash Next 125-billion-parameter model on a single consumer RTX 4090 GPU at roughly 100 tokens per second. The claim is drawing attention from developers on Hacker News, where it has collected 15 points and a handful of comments, with discussion focused on whether such speed and memory efficiency on consumer hardware is realistic.

A developer reports using an iPhone as a second GPU alongside a MacBook, claiming 29–44% faster prefill times when running the Qwen 27B language model. The setup exploits Apple's unified memory architecture to pool compute across devices. The claim is drawing attention from people interested in running large language models locally on consumer Apple hardware.

Apple has announced the rollout timeline for its latest products and software, including a new pair of iPhones and expanded artificial intelligence features. Coverage is focused on when each announcement will actually reach consumers, laying out the dates for hardware launches and AI availability across devices.

Sony will not take part in CES 2027, with reports saying the company is shifting its priorities toward entertainment content rather than the hardware showcases the trade show is known for. The move marks a notable departure from one of the tech industry's biggest stages and fits Sony's broader emphasis on games, music, film and other media businesses.

OpenDrone is asking who actually owns the drones people fly, highlighting questions around manufacturer restrictions, software locks and control over hardware buyers thought was theirs. The discussion touches on firmware limits, forced updates and repair rights for consumer and commercial drone owners. Drone users are debating what ownership really means when manufacturers retain software control.

Tech commentators are explaining that battery capacity and battery life are not the same thing. A large capacity figure, measured in mAh or Wh, does not guarantee longer runtime, since software efficiency, screen use and hardware demands also determine how long a device lasts. The discussion aims to clear up a common confusion for buyers comparing phones, laptops and other gadgets.

Commentators are highlighting that Chinese phone makers are shipping experimental features — such as robot cameras that swivel to track subjects, and secondary rear displays — that Western buyers have yet to see. The discussion centres on why the most inventive smartphone hardware is debuting in China, with consumers elsewhere asking when or if these designs will reach their markets.

Micro Center is requiring customers to show photo ID and sign a declaration promising the RTX 5090 graphics card will stay in the US, disclosing where it will be installed. The policy, reported by Tom's Hardware, reflects efforts to comply with US export restrictions that limit sales of high-end Nvidia GPUs to certain countries. Commenters are debating whether retailers enforcing such pledges at the register is reasonable or excessive.

Meta is releasing the code for its Muse technology for free, aiming to get the AI assistant embedded in a wide range of consumer devices, from televisions to household appliances. The move positions Muse as a building block for third-party gadget makers rather than a feature locked to Meta's own hardware. Tech commentators are weighing what open-sourcing the software means for competition in the AI device market.

Meta is releasing code that lets people build their own AI-powered gadgets, according to Gulf News. The move signals the company's push to put AI hardware development in the hands of everyday builders and developers rather than keeping it in-house. Details on which products or tools are covered were not provided in the report.

Strata, a new tool for running large language models locally, reportedly enables a 125-billion-parameter AI model to operate on consumer gaming PCs. The claims are drawing attention from enthusiasts interested in running powerful AI without cloud services or expensive data-center hardware, though independent benchmarks and hardware requirements have not yet been widely confirmed.

AI agents are consuming roughly five times more tokens than human users, a figure projected to reach 10x as agentic workflows proliferate. Much of that usage comes from agents repeatedly rereading content they have already processed, driving explosive growth in cached prompts and KV cache memory requirements. The surge is raising alarms about RAM demand, which was already under strain, and could intensify memory shortages across the AI infrastructure industry.

Meta has launched Muse, a new tool designed to help users create their own AI-powered gadgets. The announcement puts the company in the growing market for accessible AI hardware development, letting individuals design and build devices using Meta's AI technology. Details on features and availability remain limited, but the move signals Meta's continued push to expand its AI ecosystem beyond apps and social platforms into hardware.

A developer reports enabling multi-token prediction (MTP) on an RTX 3090 graphics card raised local LLM generation throughput, while questioning whether the speedup affects coding quality. The write-up, originally published on a personal blog, has drawn attention from AI and open-source software communities interested in getting more performance from consumer GPUs for running large language models locally.

Meta has open-sourced its Muse gadgets, a move that allows developers and hobbyists to build their own custom AI-powered devices using the company's hardware designs and software. The announcement positions Meta alongside other big tech firms embracing open development in consumer AI hardware. Coverage so far is limited, with details on licensing, specifications, and availability not yet widely reported.

A hardware write-up details how to take control of the on-screen display chip inside inexpensive composite monitors, a part normally locked down by the manufacturer. The piece walks through how the OSD processor can be accessed and reprogrammed, opening the door to custom overlays or repurposing discarded displays. Enthusiasts in the hardware hacking community are sharing the teardown as a fun example of wresting control from consumer electronics.

Meta has made it possible for anyone to build their own AI-powered gadgets running its Muse agent, at no cost. The move means hobbyists and developers can create custom hardware devices powered by Meta's AI assistant software. The announcement is drawing attention in tech circles, with observers seeing it as another step in Meta's push to put its AI technology into a wider range of consumer devices beyond its own product line.

Meta has released the code behind its Muse AI gadgets as open source, letting anyone build their own home AI devices. The move, reported by The Verge, is drawing attention among developers and hobbyists interested in creating custom AI-powered hardware for the home using Meta's software.

Intel's upcoming Nova Lake processors, expected in 2026, will reportedly feature a new 'BFC' cache technology aimed at competing with AMD's 3D V-Cache X3D chips, which currently dominate gaming performance. If accurate, the move would mark Intel's most direct response yet to AMD's cache-based lead in the consumer desktop market, with enthusiasts debating whether Intel can close the gaming performance gap.

Meta has launched an AI-powered device called Muse Charm, according to reports. The coverage also points to five upcoming AI gadgets, with Samsung and Apple said to be developing their own entries in the same category. The news adds to intensifying competition among major tech firms to put AI into consumer hardware.

Gaming PCs are increasingly being positioned as local platforms for running AI workloads, with modern graphics cards marketed on their AI performance. The discussion centres on what AI features and tools gamers can realistically run on their own hardware, and whether gaming machines are becoming general-purpose AI computers.