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15 Jan 2026

Google Gemini secures Apple's Siri deal, positioning Alphabet to dominate the AI industry

Google has landed a multi-billion dollar deal with Apple to power the next-generation Siri using Gemini AI models. With 650 million monthly users and integration across billions of Android and iOS devices, Google's vast ecosystem and full-stack control positions it to become the undisputed AI leader, challenging OpenAI's ChatGPT dominance.

3 Sources

Google Trends Gets Gemini AI to Automatically Compare Search Trends and Trending Topics

Google has revamped its Trends Explore page with Gemini AI capabilities that automatically identify and compare search trends. The update, rolling out on desktop, features an AI-powered side panel that generates up to eight relevant keywords instantly, eliminating manual research for content creators, journalists, and researchers. The redesign also doubles rising queries displayed and expands comparison capacity.

4 Sources

Alibaba's Qwen App now orders food and books travel as AI shifts from understanding to action

Alibaba launched major upgrades to its Qwen App, enabling users to order food delivery, book travel, and complete payments entirely within the AI chat interface. The update marks a strategic pivot into consumer-facing AI and agentic commerce, integrating core ecosystem services like Taobao, Alipay, and Fliggy. Since its November launch, the app has reached 100 million monthly active users.

5 Sources

Google separates Gemini 3 usage limits, giving Pro and Thinking models independent quotas

Google has ended the shared usage pool for Gemini 3's Pro and Thinking models, introducing separate usage limits for each. AI Pro subscribers now receive 100 Pro prompts and 300 Thinking prompts per day, while AI Ultra users get 500 Pro and 1,500 Thinking prompts daily. The change addresses user feedback requesting more transparency and flexibility when choosing between the two AI models.

2 Sources

Z.ai trains GLM-Image entirely on Huawei hardware, challenging Nvidia's AI chip dominance

Chinese AI firm Z.ai has released GLM-Image, an open-source image generation AI model trained completely on Huawei's Ascend chips without any Nvidia GPUs. The 16-billion parameter model demonstrates accurate text rendering and complex prompt understanding, proving that domestic Chinese hardware can now sustain large-scale AI training independently.

2 Sources

Google's Gemini AI can now reason across your Gmail, Photos, and YouTube to deliver personal answers

Google announced Personal Intelligence, a new beta feature that allows Gemini AI to connect across Gmail, Google Photos, YouTube, and Search history. The opt-in feature enables the AI chatbot to reason across personal data for tailored responses, but it's exclusive to paid subscribers initially. While Google stresses privacy safeguards, the capability raises questions about how much access users want to grant their AI assistant.

34 Sources

Anthropic's Claude Code sparks AI race as developers build apps in hours without traditional coding

Anthropic's Claude Code is transforming how software gets made, allowing users with no programming experience to build fully functional apps in hours. The AI coding tool reached a $1 billion run rate within six months and has tech industry professionals questioning the future of traditional software development as advanced AI capabilities automate tasks that once required teams of developers and weeks of work.

4 Sources

14 Jan 2026

OpenAI strikes $10 billion AI chip deal with Cerebras to power faster ChatGPT responses

OpenAI has signed a multi-year agreement with AI chipmaker Cerebras worth over $10 billion to deliver 750 megawatts of computing power through 2028. The deal aims to accelerate ChatGPT's response times and support real-time AI applications, while reducing OpenAI's reliance on Nvidia's GPU-based systems. Cerebras will build and lease dedicated datacenters featuring its wafer-scale accelerators.

10 Sources

Nvidia's China market share crashes from 66% to 8% as export curbs fuel domestic AI chip surge

Nvidia faces a dramatic decline in China as its market share plummets from 66% in 2024 to just 8% this year. The collapse stems from tightening US export restrictions on high-end AI chips and rapid advances by homegrown Chinese AI hardware makers like Huawei and Moore Threads. While the Trump administration has opened limited sales of Nvidia H200 chips with a 25% surcharge, Beijing is drafting its own purchase rules as domestic suppliers now meet 80% of local demand.

19 Sources

Nvidia DLSS 4.5 brings AI upscaling improvements to all RTX GPUs, but older cards may struggle

Nvidia has rolled out DLSS 4.5 Super Resolution through its app, bringing enhanced image quality to over 400 games across all RTX GPUs. The update features a second-generation transformer model that improves lighting and reduces ghosting, but requires 5x more power. RTX 20 and 30 series users may experience up to 20% performance loss compared to DLSS 4.

3 Sources

Phison aiDAPTIV+ delivers 10X faster AI inference on consumer PCs using NAND flash as memory

Phison showcased aiDAPTIV+ at CES 2026, a software and hardware solution that accelerates AI inference by up to 10 times on consumer PCs. The technology uses NAND flash as memory expansion, enabling systems with just 32GB of DRAM to run AI models requiring 96GB through conventional approaches. Partners including Nvidia, AMD, MSI, and Acer demonstrated the technology, which addresses the memory bottleneck limiting AI deployment on ordinary hardware.

3 Sources

Nvidia releases DLSS 4.5 with enhanced AI upscaling as 6x frame generation waits until spring

Nvidia launched DLSS 4.5, introducing a second-generation transformer model for AI upscaling that delivers sharper textures and reduced ghosting in games. While the new Model L and M presets show measurable improvements in performance modes, the highly anticipated 6x Multi Frame Generation capability won't arrive until spring 2026. Testing reveals DLSS 4.5 makes the biggest difference for mid-range GPUs running at 1440p resolution.

4 Sources

Critical AI/ML Vulnerabilities Discovered in Python Libraries From Nvidia, Salesforce, and Apple

Security researchers uncovered vulnerabilities in popular Python libraries used across AI and ML models with millions of downloads. The flaws allow attackers to hide malicious code in model metadata that executes automatically when loaded. Nvidia NeMo, Salesforce Uni2TS, and Apple FlexTok were all affected, with patches now released following responsible disclosure.

2 Sources

Alibaba Links Taobao Shopping to Qwen AI App, Advancing Push Into Consumer AI Services

Alibaba is connecting its flagship Taobao shopping platform, Alipay, and travel services to its Qwen AI app, aiming to create a unified AI personal assistant for over 100 million users. The integration marks the company's most ambitious step yet in consumer-facing AI, as it seeks to demonstrate AI's money-making potential while leveraging its 35.8% share of China's AI cloud market.

4 Sources

Roblox's AI-powered age verification system stumbles with major accuracy and safety failures

Roblox rolled out AI-powered age verification globally to protect young users from predators, but the system is misclassifying ages and can be easily fooled. Users report being placed in wrong age groups, while age-verified accounts are being sold on eBay for as little as $4, raising serious questions about the platform's child safety measures.

5 Sources

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