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Quinn's CBA Future Uncertain as Donghao Outlines Retention PushA SOHU report on July 30, 2026 highlighted growing uncertainty around Quinn's future in the CBA, with Donghao sharing updates during a live broadcast about efforts to keep the player in the league.The report noted that overseas leagues may offer Quinn more attractive contract terms and protections, while the level of protection available within the CBA remains a subject of debate.Should Quinn ultimately decide to leave the CBA and the Guangdong Tigers, the report suggested fans should understand that athletes typically make decisions they see as most beneficial to themselves.Donghao's live stream served as the main channel for new information, emphasizing a commitment to retain Quinn.#CBA #GuangdongTigers #QuinnFollow for more CBA roster updates.

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A forgotten Soviet programme in the early history of AIOn July 30, 2026, France 24 published a feature titled "AI before AI: The forgotten Soviet programme," looking back at an early effort to develop artificial intelligence within the Soviet research ecosystem. Now circulating on Hacker News, the piece examines how that work unfolded in the decades before the current AI wave and why it has largely been left out of mainstream accounts of the field's origins. The full report is available on France 24's technology section.

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Kevin Kelly at WAIC2026: 'No One Is Late' to the AI WaveReporting from a Sina News article dated July 30, 2026, futurist Kevin Kelly told an audience at the WAIC2026 Youth AI Education Forum that the AI wave has only just begun, and that "no one is late."Kelly's central message: the current moment is an early chapter of the AI curve rather than a closing one, and newcomers have room to engage without the pressure of having missed the window. The remarks were delivered on July 19, 2026, at a forum hosted by Yuanbiancheng under the theme "Youth Growth in the AI Era."During the same event, Yuanbiancheng announced a full brand upgrade and unveiled a "5A System" aimed at building AI literacy among young learners, signaling a shift in the company's focus from coding-based education toward broader AI literacy cultivation.For readers tracking long-horizon technology shifts, the framing matters: an established futurist placing this phase at the start of an AI curve, with the education sector already repositioning around AI literacy rather than code alone.

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According to the report, FLUX-mimic is built on internet-scale video pre-training. Operators can teach a robot a new behavior through roughly 30 minutes of human demonstration, which the company contrasts with traditional robot programming workflows that typically require more than 30 hours of code work for comparable tasks.

Mimic said the model is currently being tested at an Audi facility in Hungary, where it has been applied to fine-grained assembly tasks that conventional programming reportedly struggles to handle. The pilot focuses on cases where task variability or complexity has historically made automation impractical, with the goal of shortening the engineering effort needed to retool robots for new production steps.

The announcement frames the approach as a way to make robot redeployment more practical in mixed-model manufacturing environments, where product changeovers are frequent.

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According to the report, FLUX-mimic is built on internet-scale video pre-training. Operators can teach a robot a new behavior through roughly 30 minutes of human demonstration, which the company contrasts with traditional robot programming workflows that typically require more than 30 hours of code work for comparable tasks.

Mimic said the model is currently being tested at an Audi facility in Hungary, where it has been applied to fine-grained assembly tasks that conventional programming reportedly struggles to handle. The pilot focuses on cases where task variability or complexity has historically made automation impractical, with the goal of shortening the engineering effort needed to retool robots for new production steps.

The announcement frames the approach as a way to make robot redeployment more practical in mixed-model manufacturing environments, where product changeovers are frequent.

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WAIC 2026 ran from July 17 to July 20, 2026 in Shanghai, combining the main conference with a high-level meeting on global AI governance. The launch positions the product as a milestone for domestic atomic quantum computing infrastructure aimed at AI workloads, though the announcement itself does not specify a commercial release date or pricing.

The original Sina News framing describes Q-Cub as a landmark product for China's quantum-AI ecosystem. No independent benchmark results, third-party validations, or partner commitments were detailed in the source report, and those details remain to be confirmed in subsequent disclosures from the company or event organizers.

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WAIC 2026 ran from July 17 to July 20, 2026 in Shanghai, combining the main conference with a high-level meeting on global AI governance. The launch positions the product as a milestone for domestic atomic quantum computing infrastructure aimed at AI workloads, though the announcement itself does not specify a commercial release date or pricing.

The original Sina News framing describes Q-Cub as a landmark product for China's quantum-AI ecosystem. No independent benchmark results, third-party validations, or partner commitments were detailed in the source report, and those details remain to be confirmed in subsequent disclosures from the company or event organizers.

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The project, which dates back to the 1950s, has been carried forward by three successive generations of scientists. Rather than treating the highland lake as a one-off study location, each cohort has built on the infrastructure, datasets, and methods left behind by its predecessors, effectively turning the lake itself into a long-running, open-ended experiment.

The roughly tenfold expansion in physical coverage highlights a quieter point often missing from short research cycles: some of the most consequential ecological outputs only accumulate once a single scientist's career is treated as a single data point, and the next generation inherits the baseline.

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The move signals a notable step in embodied AI commercialization, as a major automaker extends robotics into customer-facing environments beyond its factory floors.

#BYD #HumanoidRobot #Robotics

Follow for more updates on embodied AI and real-world robotics deployment.

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As of the latest reports, Li Auto was up more than 8%, leading the gains. GAC Group, Leapmotor, and Chery each climbed over 7%, while Geely Auto and Voyah rose more than 5%.

The robotics angle is doing the heavy lifting. Mainstream domestic automakers have been stepping up their footprints in the humanoid robotics space, and the sector is widely described as entering a critical mass-production phase. Investors appear to be repricing auto OEMs not just as vehicle makers, but as potential platforms for embodied AI hardware.

For context, the broader robotics industry has been drawing sustained attention this month, with multiple reports flagging accelerating commercialization timelines. The convergence of EV manufacturing supply chains and humanoid robotics components is increasingly cited as a near-term competitive advantage for Chinese auto groups.

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• Apple is reportedly preparing to debut its first smart glasses at next year's WWDC, with privacy protection positioned as a core selling point.

• OpenAI has signed a public letter in support of open-source AI model development.

• Luo Yonghao again criticized smart TV interaction, arguing that neither older users nor younger viewers should be blocked by overly complex remote controls.

• Zeekr rolled out a 'Cross-Border Guardian' self-service unlock feature, with an OTA update expected to add a default-off toggle.

The first two items in particular frame two open questions for the next product cycle: how on-device privacy and model openness will be handled as AI hardware proliferates.

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Key findings from the white paper:

• The localization rate of harmonic reducers in China has exceeded 75%, signaling a major shift in the domestic supply chain for core robot components.

• Costs in the smart robot sector are falling by more than 16% year over year on average, driven by advances in domestic manufacturing and scale.

• Welding robots carry an average annual usage cost of roughly 50,000–80,000 yuan, compared with 120,000–150,000 yuan for a human welder — a cost gap that continues to widen in favor of automation.

PwC partner Huang Qijia described smart robots as the core vehicle for the deep integration of AI and physical industries, framing the white paper as a snapshot of how quickly the economics of industrial automation are being rewritten.

The report lands amid a broader wave of commercial activity in the humanoid and industrial robot space, with component costs, supply chain maturity, and total cost of ownership emerging as the variables most likely to determine adoption pace across factories.

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The 'made dead simple' framing reads as an invitation to surface open-source stacks that lower the barrier at each layer — simulation environments, hardware abstraction, control software, and middleware. For developers and hobbyists who have been priced out by proprietary stacks and steep hardware costs, the thread functions as a community-led inventory of what is now usable off the shelf.

The discussion is early in engagement, but the title alone tracks a recurring open-source narrative: commoditize the tooling layer so building a robot starts to look more like a weekend software project than a multi-year R&D effort.

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