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0Hey~~ good evening, everyone! It's Friday, October 9, 2026. Welcome to Goodnight Coffee. I'm your host, An'an. Today, let's talk about some fresh, hot business and tech updates and see what new trends and wild ideas are out there. Relax your ears and come along with me!
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According to VentureBeat, OpenAI has released its next-generation frontier model, GPT-6 Astra, and says it may well mark the beginning of artificial general intelligence, or AGI—the long-sought "highly autonomous system that outperforms humans at most economically valuable work." OpenAI co-founder and President Greg Brockman said at a closed-door press briefing, "Welcome to the AGI era." OpenAI calls the model "the world's best computer-use model," saying users may no longer need a mouse or keyboard, and developers won't have to build separate API integrations for every app. It can operate browsers, spreadsheets, websites, and desktop applications like a human, create documents and presentations, and execute multistep workflows rather than merely guiding users through actions. In a promotional video, employees used only voice commands to have Astra turn a yellow circle into a rocket ship, build a complete 3D game in minutes, and create an eBay product listing. Astra launched Thursday to enterprise customers through the limited-access Daybreak program, and in the coming days will open to ChatGPT Plus, Pro, Business, Enterprise, the OpenAI API, as well as AWS Bedrock and Microsoft Azure. It can fill out online forms, update CRM records, schedule calendars, conduct web research, and draft documents or emails; work with spreadsheets, Python Notebooks, and Power BI; create and test websites; use engineering software such as KiCad and FreeCAD; and install and troubleshoot software. Brockman believes computer-use agents can begin to bypass some integration work.
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According to The Verge, SpaceX has announced plans to make its satellite-to-phone service Starlink Mobile a "major" U.S. mobile carrier, competing directly with T-Mobile, AT&T, and Verizon. SpaceX will acquire a set of low-band spectrum licenses that Grain Management bought from T-Mobile. The terms of the deal were not disclosed and it is still pending approval from the U.S. Federal Communications Commission; the FCC has already approved Grain's takeover of the relevant spectrum. The spectrum sits in the 800 MHz band, covering 817 to 824 MHz and 862 to 869 MHz, with up to 14 MHz of paired spectrum. SpaceX says this will fill a key technical gap, allowing signals to penetrate walls and letting most existing mobile devices work indoors. After FCC approval, SpaceX plans to deploy a new architecture combining a satellite-to-mobile constellation with a terrestrial mobile network. Previously, SpaceX acquired 2 GHz spectrum from EchoStar; the FCC also approved its deployment of 15,000 V2 Starlink Mobile satellites, which will offer more than 100 times the bandwidth of the current generation. SpaceX says the new low-band spectrum and Gen2 constellation could make it the first network operator to deploy both satellite and terrestrial spectrum.
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According to The Verge, citing Bloomberg, Apple plans to launch its first touchscreen MacBook around October 27—a new MacBook Pro—as well as an updated iPad Mini. The launch event will include an online video presentation and an in-person media session, similar in format to Apple's already announced October 13 event; the latter is said to focus on smart home products. Bloomberg says the Mac and iPad event will introduce a new MacBook Pro that is lighter than the current model, features a touchscreen OLED display, and has an interface similar to the iPhone's Dynamic Island. Apple also plans to release a MacBook Pro that keeps the current design and uses the M6 chip launching alongside a new Mac Mini. The iPad Mini was last updated in 2024, and this refresh will move the front camera to the landscape side of the tablet and add a redesigned speaker system.
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According to Sina Tech, Nvidia has announced it will invest $1 billion worth of resources over the next five years to build U.S. superintelligence R&D capabilities, covering fields including quantum computing, health care, and energy security. The news was announced at the "Science: A New Golden Age" event in Washington. Nvidia founder and CEO Jensen Huang said Trump's "Genesis Mission" opens a new golden age of American scientific discovery; the investment will put advanced superintelligence in the hands of American scientists, accelerate breakthroughs in medicine, energy, and materials, and translate them into industrial advantages and jobs. The White House Office of Science and Technology Policy affirmed the expansion of the initiative, with Nvidia as a core industry partner. Over the next five years, the funds will support U.S. university research institutions, consolidate U.S. leadership in quantum, and support cloud service providers that meet U.S. government mission needs. Nvidia is also participating in multiple second-phase grant projects covering quantum computing, nuclear fusion, accelerator design, and microelectronics. Nvidia has worked with U.S. national laboratories for more than two decades. Last year, it partnered with the Department of Energy on the initiative, building the DOE's largest research supercomputer at Argonne National Laboratory and adding seven new computing systems for Argonne and Los Alamos.
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According to VentureBeat, Google's Gemini 3.8 Flash is built for agents, while its Cyber twin version is used to hunt for vulnerabilities.
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TechWeb reports that in early Hong Kong trading on October 9, Xiaomi Group shares rose more than 9% at one point, leading Hong Kong stocks, with total market value exceeding HK$660 billion. As of publication, the stock was up 7.19% at HK$25.36 per share. Xiaomi Auto announced on the evening of October 8 that the Pengcheng series surpassed 70,000 locked orders in its first sales month. The series launched on September 7, hit 10,000 locked orders in four minutes, and began deliveries on September 12. By October 7, it had been on the market for 30 days. On October 1, Lei Jun revealed that Pengcheng deliveries exceeded 10,000 in September, driving Xiaomi Auto's overall September deliveries above 40,000 for the first time and placing it among new car-making forces delivering more than 40,000 vehicles that month. The locked-order figure was achieved against the backdrop of an almost 20% overall contraction in the range-extender market from January to August this year. Xiaomi said Pengcheng is based on the Kunlun technical architecture and covers the mid-to-large five-seat N70, the flagship seven-seat N90, and an Explorer Edition, emphasizing an "RV-level" large space beneath SUV styling and driving performance. Xiaomi Auto Vice President Li Xiaoshuang previously said that future new-car orders would only be disclosed in two waves: at launch and in the first sales month. After 70,000, the company will no longer release rolling figures and will instead observe performance through monthly deliveries.
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According to LatePost, Huawei and Seres carried out a major redistribution of power and interests.
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According to QbitAI, Robot Era, the only embodied AI company in which Tsinghua holds equity, has seen its self-developed world action model VPP2 top the RoboDojo simulation leaderboard. It ranked first with an overall average success rate of 32.26% and an average score of 39.26, and also ranked first in the three dimensions of generalization, fine manipulation, and memory. RoboDojo is led by HKU MMLab and co-built by nearly 20 top academic institutions worldwide. It includes 42 dual-arm manipulation tasks covering five dimensions: generalization, precise manipulation, long-horizon tasks, memory, and open-vocabulary understanding. VPP2 added no extra data and used no enhancement methods such as Agent RSI, relying only on standard datasets. In post-training evaluation comparisons, GPT-6-Astra had an average success rate of 22.48% and an average score of 28.97, while VPP2 led by 9.78 percentage points and 10.29 points, respectively. VPP2 trains video prediction and action learning in stages. Based on Alibaba's open-source Wan2.1-I2V-14B, it integrates data such as robot manipulation, human activity, and general video to perform event-level video prediction. In robot manipulation video instruction-following tests, the 14B-parameter VPP2 achieved a 90% success rate, while the 64B-parameter Cosmos3 reached 78%. The team also deployed it on a real ALOHA dual-arm robot to test 10 categories of zero-shot tasks, including grasping, placing, stacking, folding, and pouring. It achieved an average success rate of 58.5%, higher than π0.5's 40%, and was best in 9 task categories.
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36Kr reports that physical AI is becoming a financing hotspot in AI drug discovery and AI4S, with more than $3 billion flowing in directly or indirectly over the past year or so. In August 2026, Transfyr completed a $25 million seed round immediately after founding; in September, Shuye Technology completed a Pre-A round and plans to use physical AI to build a self-driving laboratory; in June, Jindu Biosciences raised nearly RMB 100 million in a Series A led by GTJA Investment, with funds used to deepen its physical AI underlying architecture. New York-based Medra completed a $52 million Series A at the end of 2025, bringing total funding to $63 million, to develop a physical AI scientist for drug discovery, with scientific AI proposing hypotheses and physical AI operating instruments; it has already completed ML001, a roughly 3,530-square-meter laboratory in San Francisco, where more than 100 robots operate around the clock. Nvidia and Eli Lilly plan to invest up to $1 billion over five years to build a joint AI innovation lab and connect BioNeMo to Lilly's R&D process; Simcere Pharmaceutical partnered with Schrödinger, with Simcere leading preclinical and clinical work and Schrödinger providing physics-plus-AI computational design; Anthropic and HHMI Janelia open-sourced the MHS standard to unify control of microscopes, liquid handlers, and robotic arms.
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According to 36Kr, diffusion intelligence company DiffuSpace has completed two consecutive funding rounds, jointly led by Matrix Partners China, Shunwei Capital, and Legend Capital, with participation from CAS Star, Huawei Hubble, Horizon, and others. The total amount reached several hundred million yuan, setting the largest financing record globally for a diffusion language model. The company was founded in Shenzhen in May 2026 by Professor Kong Lingpeng, co-director of HKU's NLP Lab, and current PhD students Gong Shansan, Ye Jiacheng, and others. The team has researched diffusion language models since 2022. Its Dream 7B has 7 billion parameters and surpasses autoregressive models of the same parameter count on math, code, and planning tasks, with some capabilities comparable to DeepSeekV3 (671B). DiffuSpace is training a new generation of larger-parameter models, plans to release and open-source them soon, and is targeting complex tasks such as code agents and intelligent reasoning, with priority areas including code generation, embodied intelligence, and autonomous driving. Gong Shansan said that under the same conditions, its model's TPS is about 10 times that of mainstream autoregressive models. In September this year, DiffuSpace and Acrab worked on collaborative adaptation for on-device agents.
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