AI news brief: Alphabet (Google’s parent company) says demand from enterprise customers and everyday consumers for its AI solutions and services keeps growing strongly, and demand has clearly outstripped the company’s current supply capacity. To close this gap, Alphabet plans to raise up to $80 billion specifically for AI infrastructure expansion. The company’s official statement directly acknowledges…
AI news brief: OpenAI’s flagship models and Codex are now generally available on AWS, letting enterprise users tap into OpenAI’s services directly through their existing AWS environment, compliance controls, and procurement process without building a separate integration pipeline. This integration lets companies spin up OpenAI models on the AWS infrastructure they already know, cutting the time from evaluation to production significantly. Read the original…
AI News Brief: NVIDIA released Cosmos 3, an open omni-modal World Foundation Model built for ‘Physical AI.’ Its standout feature is merging image generation, physical reasoning, and action output into a single architecture, replacing what used to require separately deployed models like Cosmos Predict, Transfer, Reason, and Policy.
AI news brief: SoftBank has announced plans to invest up to €75 billion in France to build and operate large-scale data centers. The official statement says the goal is to develop and operate up to 5 gigawatts (GW) of additional data center capacity within France, underscoring SoftBank’s heavy focus on European AI infrastructure. The 5 GW figure is the core technical number in this announcement and a key benchmark for assessing the scale of the investment and its real-world compute impact.
AI News Brief: As competition in the browser market heats up, a wave of new alternatives is challenging the dominance of Chrome and Safari. TechCrunch rounded up the most talked-about alternative browsers of 2026, spanning privacy protection, performance optimization, and AI integration. Some browsers lead with anti-tracking, built-in ad blocking, or zero-data-collection policies to win over privacy-conscious users, while others focus on speed and cross-platform experience.
AI News Brief: Google has launched an AI assistant called Gemini Spark, positioned as a round-the-clock automation assistant to help users handle daily repetitive tasks. Based on available information, its features cover use cases like email inbox summarization and local event planning suggestions, aiming to cut down the time and energy users spend on trivial information processing. In hands-on testing, Gemini Sp…
AI News Brief: According to tech media reports, Meta is developing an AI wearable device, reportedly in the form of a smart pendant that hangs around the neck. This move shows Meta continuing to extend its AI capabilities into hardware devices, following up on its Ray-Ban smart glasses with another strategic bet on AI hardware. However, public information remains extremely limited, with product specs, positioning, and launch timing all still undisclosed.
AI news brief: Box founder Aaron Levie recently called out a phenomenon he calls ‘AI psychosis’ - the executives who confidently decide ‘AI can replace this role’ are often the people who understand that job the least. He points out this decision-making blind spot is spreading across tech, as leaders get so swept up in AI’s potential that they push through layoffs without really understanding the workflows, responsibilities, and human judgment the job actually requires.
AI News Brief: As artificial intelligence technology rapidly goes mainstream, the industry has spawned a flood of specialized jargon and slang that leaves many newcomers confused. TechCrunch has put together a glossary of common AI terms, covering definitions for the most important terms right now — from technical concepts like hallucination, model, and training data to AI slang that’s increasingly popping up in everyday conversation. The glossary aims to help readers quickly grasp context and meaning when reading AI news or talking with people in the industry.
AI news brief: Researchers warn that while AI tools let developers ship code faster, overall code quality isn’t necessarily improving — and may even be declining. What’s worrying about this trend is that as developers get used to relying on AI autocomplete and generation, their own coding logic and debugging judgment may gradually atrophy, and once enough low-quality code piles up, it can trigger unpredictable chain reactions down the line in maintenance, scaling, and security.