12-10-Daily AI News Daily

AI News Daily 2025/12/10

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Today’s Summary

Horizon's Riemann architecture reconfigures chip logic; Journey 7 performance surges 10x, directly rivaling Tesla AI5.
SpaceX's valuation rockets to $800 billion, surpassing OpenAI to become the world's most valuable unicorn, with an IPO planned for next year.
OpenAI launches official certification courses, offering free AI skill certification targeting workforce demands.
Alibaba Tongyi's SAPO reinforcement learning method addresses unstable MoE training, leading to a performance surge in Qwen3-VL.
An OpenAI report reveals the top 5% of elites boost efficiency by 16x, while the AI usage gap for ordinary people widens.

Product & Feature Updates

1. Horizon has rolled out its Riemann architecture, totally revamping AI chip (AI News) logic using manifold geometry. Its Journey 7 series chips are set to drop with a whopping 10x performance boost ✨, directly gunning for Tesla AI5. The Tiangong Kaiwu compiler now features reinforcement learning, slashing latency from 300ms to a mere 160ms, meaning a single chip can handle autonomous driving in Shenzhen’s urban jungle. Plus, HSD Together is opening up full-stack algorithm services (AI News Daily) , cutting carmakers’ costs by a hefty 90% 💸 and bringing “pro driver” capabilities to even budget-friendly cars 🚗.

2. SpaceX’s valuation has absolutely skyrocketed to $800 billion 🚀, with Elon Musk reclaiming the crown as the global unicorn king (AI News) ! It doubled in just five months, blowing past OpenAI to become the world’s most valuable private company. We’re talking a potential $300 secondary market trading price 💰, with an IPO for its Starlink and rocket businesses slated for the latter half of next year, ready to pre-IPO (AI News Daily) . This year, they pulled in $15.5 billion in revenue, easily beating OpenAI’s projected $13 billion, thanks to NASA and a fleet of 9,000 satellites fueling its massive empire.
   

3. OpenAI has dropped its official certification courses, and AI skill certification is now open for application (AI News) 🎉! The AI Foundations series covers real-world use cases, giving developers a quick jumpstart. This certification program is laser-focused on workforce needs, so even everyday folks can snag a certificate to prove their AI prowess Source: (AI News Daily) . The courses are totally free, and let’s face it, AI certification could totally become a must-have in the future job market 🏆. OpenAI is quietly making moves in the education space.

4. NVIDIA just got the green light to sell its H200 chips to China ✅, with the US government snagging a sweet 25% sales commission (AI News) ! The Commerce Department gave the nod for exports to specific clients, showing Jensen Huang’s White House lobbying efforts really paid off 🤝. Just five months ago, SpaceX was valued at $400 billion, and now it’s doubled to $800 billion. This NVIDIA H200 unban Source: (AI News Daily) could seriously fire up the compute market 🔥. But hey, Chinese customers will still face strict reviews and conditions, so it’s not a free-for-all. The US government is set to bag a cool quarter from this whole deal.

5. Zhipu has open-sourced its AutoGLM phone-level Agent, which can handle everything from ordering takeout to booking flight tickets, now fully open (AI News) 🍔✈️! Its “Phone Use” capability can reliably execute dozens of operations and supports over 50 apps 📲 like WeChat, Taobao, and Douyin. Open-sourcing this means phone manufacturers can just copy it directly, pushing the AI phone ecosystem from closed-off to open (AI News Daily) . It’s got dual deployment—local and cloud—so your private data stays put, never uploaded. The technical barrier has absolutely plummeted 👇, meaning even regular manufacturers can now churn out AI phones.

6. n8n 2.0 just dropped, making a huge leap ⬆️ from a basic functional tool to an enterprise-grade stable platform (AI News Daily) ! Now, code nodes run in isolation by default, and permissions are seriously locked down for top-notch security 🔒. Plus, publishing and saving are totally separate, just like in a proper code development workflow, so you don’t accidentally mess things up. The SQLite driver’s performance has exploded by 10x ⚡, and get this, an auto-save feature is coming in January. Heads up though, the old version only has a 3-month transition period left Source: (AI News) .

7. Google is slashing its Gemini free API ✂️, making a full-throttle push to clear the runway for Banana Pro’s compute power (AI News Daily) . AI Studio has stopped offering free 2.5 Pro interfaces, Flash usage limits have been drastically cut 📉, and concurrency is getting super tight. Banana Pro is just that hot right now; Google’s basically funneling all its TPUs to enterprise clients, leaving individual developers totally bummed out 😩 Source: (AI News) .
   

Frontier Research

1. Alibaba Tongyi has open-sourced its SAPO reinforcement learning method, which is specifically designed to tackle unstable training (AI News) in MoE models 🧠. This method swaps out harsh clipping for soft adaptive policy optimization, so gradients won’t just vanish or explode anymore 💪. It uses dual adaptation at both sequence and token levels, plus an asymmetric temperature design that keeps MoE training super steady 🎯. Qwen3-VL saw a massive jump in Pass@1 during real-world tests 📈, and it’s crushing mathematical encoding and multimodal tasks across the board. Good news: the paper and blog are already public (AI News Daily) !

2. Anthropic has pinpointed LLM personality vectors 🎯, meaning we can now edit and control (AI News Daily) those pesky hallucinations and sycophantic tendencies 💯! It turns out, layer output patterns are basically personality traits, which you can pull out by just subtracting the opposite from the average sample output. They’re using fine-tuning datasets to screen for and predict personality drift, making training way safer and more predictable 🛡️. Plus, advanced behavioral structures are now editable, so engineers can tweak a model’s personality beforehand 👩‍💻, finally cracking open the LLM’s internal logic Source: (AI News) and banishing the “black box” mystery.
   

3. Microsoft Research is dropping some major predictions 🔮 for 2026 AI trends, hinting that adaptive robots and Agent- native economies (AI News) are just around the corner 🤖! Researchers shared their insights on the next wave of innovation, covering everything from hardware to the broader ecosystem. The report spells out all the key areas, basically laying down the blueprint for tomorrow’s competitive landscape 🗺️ Source: (AI News Daily) .
   

4. A new YOLO framework is here, specifically designed for small object detection, and it’s making drone aerial photography accuracy absolutely soar (AI News Daily) 🚁! They’ve optimized cropping dimensions based on SW-YOLO, meticulously fine-tuned sliding window overlap parameters, and integrated CBAM with a fresh new Head into the architecture. The mAP on the VisDrone dataset exploded from 35.5 to a whopping 61.2 💥, totally crushing CZDet’s 58.36. The paper is already out in the wild Source: (AI News) .

5. The LookWhere self-supervised method is a game-changer 🌟, making visual recognition both cheap and super accurate Source: (AI News) 💰🎯! It cleverly combines a low-resolution selector with a high-resolution extractor 🧠, saving tons of compute ♻️ by not processing the entire image. Through joint pre-training, it learns where to look and what to look for, achieving self-distillation without needing any task supervision. For high-resolution traffic sign recognition, FLOPs are slashed by a whopping 34x ⚡, and processing time is cut by 6x! It’s also making waves with ImageNet and ADE20K. Good news for developers, the paper is open source (AI News Daily) .

6. TEXTER, a brand-new zero-shot text explanation framework ✨, is here to translate decision features (AI News Daily) directly into natural language! It works by spotting contributing neurons and emphasizing encoded features, then mapping them into CLIP space to fetch explanatory text. Thanks to sparse autoencoders, Transformer architecture interpretability is absolutely soaring 🚀, churning out explanations that are both more faithful and crystal clear 💬 Source: (AI News) .

Industry Outlook & Social Impact

1. OpenAI’s latest report just dropped, revealing some wild stuff 🤯: the top 5% of elites are boosting their efficiency by a mind-blowing 16 times 📈, but ordinary people are seriously being left behind (AI News) 😟! Digging into 800 million user data points, the report shows businesses are adopting AI faster and deeper, with employees saving almost an hour every day. Get this: top performers are using data analysis 16 times more than the average Joe, and the usage gap is just shockingly huge 😲. Non-tech roles are seeing a 36% jump in programming interactions, making AI readiness a crucial dividing line 🚧 for the future Source: (AI News Daily) .

2. DeepSeek founder Liang Wenfen has been named one of Nature’s top ten Scientific Figures (AI News Daily) for 2025 🏅! This financial whiz kid 🧠 founded DeepSeek and has dropped multiple major models 🆕 this year. Nature’s commentary raved about his breakthroughs in AI, calling him a prime example 🌟 of someone successfully crossing over from investment to tech Source: (AI News) .

3. Over at Meituan, some frontend devs are switching to backend to go full-stack 🔄, signaling the inevitable changes (AI News Daily) 💡 happening in organizational structures during the AI era. If product lines want to move fast, they’re leaning heavily towards full-stack, because having a single person who can handle a whole feature end-to-end brings much higher value. Job roles are blurring, and folks who can “close the loop” on their own are becoming super valuable 💎, while those who can’t are facing tougher times 😥. Expect to see a lot more of these kinds of shifts next year Source: (AI News) .
   

Top Open Source Projects

1. The claude-mem plugin automatically logs your Claude coding sessions Source: (AI News Daily) and it’s already got 1.2k stars ⭐! It snags every single operation and then uses the agent-sdk to condense it all into relevant context 🤖. What’s awesome is that future sessions will automatically pull in this historical info, making your coding experience super smooth and efficient ✨. And hey, it’s totally open source on GitHub if you want to View More (AI News) .

2. NVIDIA has open-sourced cutile-python, a cool new tool ✨ for writing parallel kernels (AI News) for GPUs, already racking up 1.1k stars ⭐! The cuTile programming model is custom-built for NVIDIA GPUs 💻, making it a breeze for developers to jump in and supercharge parallel computing tasks ⚡. It’s perfect for deep learning and scientific computing applications Source: (AI News Daily) .

Social Media Shares

1. Gemini 3 has just opened up “Nano Banana Pro,” and its image generation (AI News Daily) capabilities are absolutely blowing minds 🤯! It’s churning out super realistic isometric diagrams 🎨, and the community’s favorite examples are flooding everyone’s feeds 🤩. Users are reporting that its performance totally crushes DALL·E 💪, and Google’s official AI developer account is even showing off celebratory images Source: (AI News) .

2. NVIDIA has dropped a new GPU-accelerated learning path 📚 for data analysis, jointly launched (AI News) with Google Cloud! This means cuDF can supercharge your pandas code 🚀, giving you a direct speed boost ⚡ without even touching your existing code. Plus, these courses are totally free 🎉, which is awesome news for all you data scientists out there 📊 View Details (AI News Daily) !

3. In real-world tests, Zhipu GLM4.6V delivered some killer text-image mixed output (AI News Daily) for long documents featuring image references 🖼️💬! Its performance metrics are right there with Qwen3-VL-235B 🎯, and the z.ai platform can even pull screenshots from various spots. The output content is perfectly tailored ✨ for platforms like Xiaohongshu and WeChat Official Accounts. Plus, Carl from AI Warts has already dropped his review video Source: (AI News) . <video src="https://source.hubtoday.app/images/2025/12/news_01kc1xsg8fex6a0xjjve7220qa.mp4"></video><br/>

4. Info card prompt optimization is a thing now, turning single cards into multiple ones ➡️🖼️🖼️, which totally fits the bill ✅ for social platform (AI News) vibes. Gemini 3 has re-optimized, now generating adaptive, magazine-style HTML5 posters 📰. Expect some cool visual rhythm 🎨 with light and dark shifts. And just so you know, the WeChat Official Account “AI Enlightenment Partner” is always dropping fresh updates Source: (AI News Daily) .
   

5. The nano banana prompt is churning out ultra-realistic ID photos 📸, automatically matching country-specific rules (AI News Daily) ! It intelligently reads your country and document type 🌍, then applies official biometric standards ✅ to pump out 6 print-quality photos. No beauty filters, no touch-ups 🚫✨ — it perfectly replicates your uploaded facial features. And guess what? The prompt itself is already public Source: (AI News) .
   

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