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Apple Siri to use Google Gemini AI for $1B

Apple Siri to use Google Gemini AI for $1B
Apple is reportedly nearing a deal to license Google’s Gemini for Siri, a move that would reshape assistant architectures and near-term AI roadmaps across devices and networks. Multiple reports indicate Apple is close to licensing a custom version of Google’s Gemini model, reportedly at a scale of around 1.2 trillion parameters, for roughly $1 billion per year. The model would power a major Siri upgrade while Apple continues building its own foundation models. The objective is clear: boost Siri’s reasoning and task execution in the near term without ceding control over Apple’s system-level integrations or search defaults.

AI layoffs surge: telecom and enterprise IT impact

AI layoffs surge: telecom and enterprise IT impact
October’s job-cut announcements surged, with AI and cost control reshaping staffing plans across technology and adjacent sectors. Planned layoffs spiked to roughly 153,000 in October, up more than 180% from September and about 175% from a year ago, according to the latest Challenger job-cuts tally. Year-to-date announcements for 2025 have crossed 1.09 million, the highest October-through-period since the pandemic shock of 2020 and above comparable 2009 levels. The cuts reflect a pivot from growth-at-any-cost to profitability, with AI rebalancing roles and budgets across the stack. Across reasons given, cost reduction led by a wide margin, and AI adoption was the second-largest driver, underscoring both macro pressure and structural transformation.

Qualcomm AI200/AI250 AI Chips for Data Center Inference

Qualcomm AI200/AI250 AI Chips for Data Center Inference
Qualcomm is moving from mobile NPUs into rack-scale AI infrastructure, positioning its AI200 (2026) and AI250 (2027) to challenge Nvidia/AMD on the economics of large-scale inference. The company is translating its Hexagon neural processing unit heritage—refined across phones and PCs—into data center accelerators tuned for inferencing, not training. AI200 and AI250 will ship in liquid-cooled, rack-scale configurations designed to operate as a single logical system. Qualcomm is leaning into that constraint with a redesigned memory subsystem and high-capacity cards supporting up to 768 GB of onboard memory—positioning that as a differentiator versus current GPU offerings.

Google Cloud G4 VMs with NVIDIA Blackwell GPUs

Google Cloud G4 VMs with NVIDIA Blackwell GPUs
The G4 family is built on NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs and targets high-throughput inference, visual computing, and simulation. Each VM can be configured with 1, 2, 4, or 8 GPUs, delivering up to 768 GB of GDDR7 memory in total. Fifth-generation Tensor Cores introduce FP4 precision to drive efficient multimodal and LLM inference, while fourth-generation RT Cores double real-time ray-tracing performance over the prior generation for photorealistic rendering. Google cites up to 9x throughput over G2 instances, positioning G4 as a universal GPU platform spanning AI inference, content creation, CAD/CAE acceleration, and robotics simulation.

ChatGPT Atlas: OpenAI’s AI Browser vs Google Chrome

ChatGPT Atlas: OpenAI’s AI Browser vs Google Chrome
OpenAI has launched ChatGPT Atlas, a MacOS AI browser built around its chatbot, positioning agentic browsing and LLM-native search as the next front in the browser wars. Atlas reframes the browser as a conversational interface. It removes the traditional address bar and orients the experience around ChatGPT, with natural language as the primary way to navigate, retrieve, and summarize information. The initial release targets Apple’s MacOS, with OpenAI emphasizing a paid “agent mode” that can autonomously search, read, and act on the user’s behalf using the live browsing context. Agent mode will be available to paying ChatGPT subscribers, extending OpenAI’s monetization beyond API usage and premium chatbot tiers.

Arm and Meta Boost AI Efficiency with Neoverse

Arm and Meta Boost AI Efficiency with Neoverse
Arm and Meta have inked a multi-year partnership to scale AI efficiency from hyperscale data centers to on-device inference, aligning Arm’s performance-per-watt strengths with Meta’s AI software and infrastructure stack. Meta plans to run its ranking and recommendation workloads on Arm Neoverse-based data center platforms as part of an ongoing infrastructure expansion. The companies are co-optimizing AI software components—spanning compilers, libraries, and frameworks like PyTorch, FBGEMM, vLLM, and the ExecuTorch runtime—so models can execute more efficiently on Arm CPUs in the cloud and on Arm-based devices at the edge. The work includes leveraging Arm’s KleidiAI optimizations to improve inference throughput and energy efficiency, with code contributions flowing back to open source.

OpenAI agentic AI shopping challenges Google and Amazon

OpenAI agentic AI shopping challenges Google and Amazon
ChatGPT users in the U.S. can now buy from Etsy sellers without leaving the conversation, with more than a million Shopify merchants “coming soon.” The feature, called Instant Checkout, is available to logged-in Free, Plus, and Pro users. It supports Apple Pay, Google Pay, Stripe, and credit cards. The flow is simple: ask for ideas, get curated products with images, prices, and reviews, tap Buy, confirm shipping and payment, and the merchant fulfills the order using its existing systems. Brands like Glossier, Skims, Spanx, and Vuori are expected to be part of the broader Shopify rollout.

Hitachi Launches NVIDIA AI Factory for Physical AI

Hitachi Launches NVIDIA AI Factory for Physical AI
Hitachi has launched a global AI Factory built on NVIDIA’s reference architecture to speed the development and deployment of “physical AI” spanning mobility, energy, industrial, and technology domains. Hitachi is standardizing a centralized yet globally distributed AI infrastructure on NVIDIA’s full-stack platform, pairing Hitachi iQ systems with NVIDIA HGX B200 platforms powered by Blackwell GPUs, Hitachi iQ M Series with NVIDIA RTX 6000 Server Edition GPUs, and the NVIDIA Spectrum-X Ethernet AI networking platform. The environment is designed to run production AI with NVIDIA AI Enterprise and support simulation and physically accurate digital twins using NVIDIA Omniverse libraries.

HUMAIN Horizon Pro: Agentic AI PC on Snapdragon X Elite

HUMAIN Horizon Pro: Agentic AI PC on Snapdragon X Elite
HUMAIN, a Saudi PIF-backed AI company, introduced Horizon Pro, an “agentic AI” PC built on Qualcomm’s Snapdragon X Elite, positioning it as a new class of Windows laptop where on-device AI drives workflows, decisions, and user interaction. At Qualcomm’s Snapdragon Summit in Maui, HUMAIN CEO Tareq Amin unveiled the Horizon Pro PC and the company’s agentic software layer, Humain One, which runs on top of Windows 11 and is slated for formal launch at the Future Investment Initiative in Riyadh.

Fujitsu Takane Boosts LLM with 1-Bit Quantization & AI Model Compression

Fujitsu Takane Boosts LLM with 1-Bit Quantization & AI Model Compression
Fujitsu’s latest generative AI breakthrough compresses large language models by 94% using 1-bit quantization, tripling inference speed and retaining 89% accuracy. Combined with brain-inspired knowledge distillation, these enhancements power high-speed, low-cost AI for CRM, image recognition, and edge deployments, all while reducing energy demands.

AI Job Loss Fears: Telecom Strategy

AI Job Loss Fears: Telecom Strategy
Fresh polling signals rising public concern that AI could upend employment, destabilize politics, and strain social and energy systems. A recent Reuters/Ipsos survey of 4,446 U.S. adults found that 71% worry AI will permanently displace too many workers. Seventy-seven percent of respondents fear AI will fuel political instability if hostile actors exploit the technology. The poll also shows broad worry about AIs indirect costs: 66% are concerned about AI companions displacing human relationships, and 61% are concerned about the technology’s energy footprint. Bottom line: Public concern is high, and that increases the cost of missteps.

Orange & OpenAI Bring Local Language AI to Africa

Orange & OpenAI Bring Local Language AI to Africa
Orange has expanded its partnership with OpenAI to localize AI models for underrepresented African languages like Wolof and Pulaar. These models will run on Orange’s secure, sovereign infrastructure, ensuring privacy and regulatory compliance. With applications in health, education, and digital equity, Orange’s Responsible AI strategy aims to make generative AI more accessible for Africa’s rural populations and especially for women, who face digital and language-based barriers.
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