News
What's happening in robotics and AI — curated by the wujec.ai editors.
Humanoid shipments nearly quadrupled in half a year — and every Western maker combined stayed behind China's fifth-largest
Smart Analytics Global published its half-yearly count of humanoid robot shipments on 10 August 2026, and the headline number travelled fast: 19,100 units delivered worldwide in the first six months of the year, against 5,100 in the same period of 2025 — a rise of 272 percent. The second number to travel was the change at the top. AgiBot shipped 8,400 units, a 562-percent jump, taking 44 percent of the market and pushing Unitree, on 5,900 units and 31 percent, into second place for the first time. The figure nobody quoted is the one at the other end of the table. The five vendors the report names — AgiBot, Unitree, Galbot with roughly 900 units, UBTech with about 700 and Leju with about 600 — account for some 16,500 of the 19,100 machines. Chinese vendors, the report says, contributed more than 97 percent of global shipments. That leaves everyone else on the planet, taken together, with fewer than 600 humanoids in six months: less than Leju alone, the fifth-largest producer in a single country. That comparison is worth making carefully, because the milestones Western manufacturers announce are counted differently. Figure said on 23 July that it had built its 1,000th Figure 03 — a cumulative total since production began, not a half-year figure. AgiBot's widely repeated "15,000 robots", announced in June, is cumulative too. The 8,400 and the 5,900 above are six months of deliveries, and mixing the two kinds of number is what makes the gap look smaller than it is. The forecast attached to the report sets up the test for the rest of the year. Smart Analytics Global expects global shipments to approach 60,000 units in 2026, worth roughly 1.6 billion dollars. If the first half really delivered 19,100, the second half has to deliver about 40,900 — a little over twice as much, in five months rather than six. The revenue line implies something else that rarely appears in coverage of this industry: about 27,000 dollars of market revenue per machine shipped. The humanoid business is growing on cheap units, not on the six-figure prototypes that fill the news. One structural shift in the data deserves more attention than the league table. Industrial and commercial deployments accounted for over 70 percent of first-half shipments, up from roughly 50 percent a year earlier, and China absorbed more than 85 percent of global demand. The machines are increasingly bought to work rather than to be demonstrated — and, for now, almost entirely bought at home by the companies that build them. Editorial note: these are the estimates of a private research firm, not audited figures. Manufacturers do not publish delivery numbers on a comparable basis, and the totals should be read as an order of magnitude rather than a count.
AgiBot A3 Ultra →Qwen's three billion downloads led the headlines — the report behind them says the giants are 1% of the traffic
Hugging Face published its half-yearly stocktake of open-weight models on 14 August 2026, and by the next morning one number from it was everywhere: Alibaba's Qwen family has passed three billion downloads, ahead of Google and Meta combined. The figure is Alibaba's own cumulative count across all platforms. The report's own measurement is narrower and more useful: on Hugging Face alone, Qwen repositories were downloaded 2,045 million times during 2026, against 418 million for Google and 227 million for Meta. Qwen now carries more than half of all open-model downloads on the hub, and its models have been forked into 151,448 derivatives — roughly 180 to 210 new ones every day, against 82,506 for Google and 32,155 for Llama. The finding that went unreported sits a few charts further down, and it undercuts the way this race is usually described. Models below one billion parameters account for 83% of all downloads ever recorded on the hub. Models above 100 billion parameters — the frontier, the ones that get the launch events and the benchmark tables — account for 1%. Restrict the count to 2026 alone and everything above 70 billion parameters is still only 3% of the volume. Distribution is brutally concentrated in another direction too: 85.6% of all models on the hub have fewer than 200 lifetime downloads, while 1.5% of them take 99.2% of the traffic. The same asymmetry shows up in what people actually run at home. In GGUF, the quantised format used for local inference on ordinary hardware, Qwen is pulled 39.6 million times a month, Google's Gemma 20.8 million and Llama 7.5 million — the last despite Llama having more GGUF repositories published than Qwen. The report reads this as a strategy difference rather than a quality verdict: Qwen ships across every size class, from sub-billion models that run on a laptop up to the frontier, while a lab that publishes only large models collects a fraction of the traffic. Moonshot, whose open portfolio is frontier-only, recorded 37 million downloads — 55 times less than Qwen. Two further findings are worth recording for anyone tracking who is publishing what. First, licensing: among Chinese releases above 20 billion parameters, 59% carry Apache 2.0 and 22% MIT, and none carry a non-commercial restriction — which is the backdrop to the licensing split we described in Qwen3.8 yesterday, where the small model got Apache 2.0 and the large one did not. Second, authorship at the top end: the report notes that most US releases above 100 billion parameters are derivatives of Chinese base models, and that the largest volume of new repositories now comes from hardware vendors — AMD and NVIDIA, with more than 200 new repositories each — publishing optimisation and conversion layers rather than original models. The hub itself grew from 2.43 million to 2.96 million models over the period.
Qwen 3 →OpenAI's first gadget takes shape: a palm-sized speaker with moving parts, over $300, in 2027
Bloomberg reported on 6 August 2026 the most concrete description so far of the hardware OpenAI has been building with Jony Ive's LoveFrom studio: a doughnut-shaped smart speaker about the size of a hockey puck, priced between roughly $300 and $400, and due to go on sale in 2027. According to the report, the device is battery-powered and meant to be carried from room to room with one hand, built from a premium metal, and fitted with speaker grilles and microphones for spoken conversation with ChatGPT. Two details set it apart from the smart speakers that came before it. First, a camera system and additional sensors are said to feed the assistant information about the room it is standing in, so that it responds to what is happening around it rather than only to spoken commands. Second, the product reportedly has moving parts whose stated purpose is to give it a personality — a design decision that puts it closer to a small domestic robot than to a static speaker. OpenAI is said to still plan an unveiling later this year, ahead of the 2027 launch. All of this comes from people described as familiar with the project rather than from OpenAI itself: the company has not published specifications, a launch date or a price, and the details may change before the product is shown. wujec.ai does not maintain a profile of the device and will not open one until OpenAI describes it officially.