AI Tracker

Follow AI products, research, funding, acquisitions, earnings and major executive changes through sourced briefs and linked editorial coverage.

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220 updates in the archive

Reuters: Four nonprofits sue OpenAI, Anthropic, Google, Meta and SpaceXAI over advanced AI development

According to Reuters, four nonprofit groups filed suit on November 12 in San Francisco Superior Court against OpenAI, Anthropic, Google, Meta and SpaceXAI. They are asking the court to stop further development of the most advanced AI models, arguing under California unfair-competition law that products such as ChatGPT, Gemini and Claude could threaten public health and safety. The complaint relies heavily on the companies’ own public warnings about catastrophic AI risks and seeks an emergency injunction to pause next-generation training and deployment until human control is proven.

AI-generated Reported IT之家 ↗ #OpenAI#Anthropic#Google

SpaceX plans over $74 billion in AI supercomputing campuses in Texas and Arizona

According to IT之家 and Reuters, SpaceX said on November 12 it plans to invest more than $74 billion to build two AI-focused supercomputing data center campuses in Texas and Arizona. The Texas site would be near Starbase on about 444 acres of SpaceX-owned land and include its own gas-fired power generation. The Arizona campus is budgeted at about $50 billion and still needs county approval. SpaceX said the projects would create thousands of construction jobs, while the Arizona proposal faces local opposition.

AI-generated Announced IT之家 ↗ #SpaceX

TechCrunch: Democrats open inquiry into Trump administration’s handling of Nvidia chip sales to China

According to TechCrunch, Democrats opened an inquiry on Thursday into how the Trump administration handled Nvidia’s chip sales to China. Rep. Richard Neal and Sen. Ron Wyden asked Commerce Secretary Howard Lutnick to preserve records tied to the export-license arrangement, and they questioned sales to Megaspeed and other Asian buyers. The letter also raised Nvidia’s donations to Trump projects and the timing of the H200 approval. It follows a separate Republican-led push for Jensen Huang to testify.

According to Ars Technica, FAA expands AI air-traffic tool SMART nationwide

According to Ars Technica, the US Federal Aviation Administration has expanded SMART, an AI system that advises air traffic controllers, to all 22 air route traffic control centers nationwide. The FAA says the $875 million cloud-based tool has rerouted 180 flights since its September 21 rollout over Washington, DC, saving an average of 10 minutes and nearly 80 gallons of fuel per flight. Human FAA specialists still validate the recommendations before controllers decide whether to accept them.

AI-generated In use Ars Technica AI ↗ #FAA#SMART

AWS Machine Learning describes Natera’s SWARM agentic AI system for lab operations

AWS Machine Learning describes how Natera and AWS built SWARM, a lab-operations agentic AI system based on Amazon Bedrock AgentCore. Designed to capture institutional knowledge and work with Jira and Confluence, it automatically generates diagnostic responses for support tickets and runs with built-in security and observability. In a 90-day production evaluation, Natera says SWARM reduced first response time from 17.4 hours to about 8 minutes and delivered automated first responses for 96.2% of tickets.

TechCrunch: Nebius lifts 2027 capex plan to $40 billion and cuts 2026 revenue outlook

TechCrunch reported that Nebius told investors on Thursday it plans to spend $40 billion in 2027, far above Wall Street expectations. The neocloud company said it expects to finance much of that buildout with customer prepayments and contract-backed loans. But delays at third-party sites, including its Vineland, New Jersey data center tied to Microsoft, are already pushing deliveries back and weighing on its 2026 outlook. Nebius cut next year’s revenue forecast to $3 billion.

AI-generated Reported TechCrunch ↗ #Nebius#Microsoft

AWS Machine Learning explains AWS-native spend controls for Amazon Bedrock

AWS Machine Learning published a technical blog explaining how to track Amazon Bedrock costs by identity and enforce spend limits using only AWS-native features. The post says Bedrock automatically records the IAM principal, while Cost Explorer or CUR 2.0 can expose per-identity reporting. AWS Budgets and budget actions can then apply a Deny IAM policy once a threshold is crossed, without custom application code for the common case. The blog also notes reporting and tag-activation delays.

AI-generated Technical overview AWS Machine Learning ↗ #Amazon Bedrock#AWS Budgets

TechCrunch says Google releases Gemini 4 Hydrogen for Search and other AI products

According to TechCrunch, Google has released Gemini 4 Hydrogen and is using it to improve Search’s handling of complex, multi-part questions and messy typos. Google says the model is built for fast agentic workflows, runs 2.5 times faster than Gemini 3.8 Flash, and can still outperform Gemini 4 Argon on one benchmark at its default high thinking level. It is also rolling out to AI Studio, the Gemini API, the Gemini App, and Google’s Antigravity platform.

TechCrunch reports Nectar launches Creator Agent for influencer marketing automation

According to TechCrunch, Nectar has launched a new Creator Agent that is available globally today for Instagram creators and TikTokers. The agent searches more than 300 million creator profiles, analyzes video content and past brand partnerships, and checks brand safety in context. It can draft personalized outreach, coordinate collaborations, handle contracts, gifting and shipping, and track campaign performance. Nectar also plans to expose the agent through MCP so teams can use it inside Claude, ChatGPT, Gemini and Copilot.

AI-generated Released TechCrunch ↗ #Nectar#Creator Agent

Hugging Face publishes IBM Granite’s LLMON article and two experimental preview models

Hugging Face published an Enterprise Article on November 12 from the IBM Granite team describing LLMON, an LLM-native markup language that makes structure and semantics explicit in model context. IBM also released two experimental preview models, granite-4.1-3b-LLMON-preview and granite-4.1-8b-LLMON-preview, plus a GitHub repository with tooling, conversion utilities, examples and workflows. IBM says the approach helps resist indirect prompt injection and cuts attack success on OPI while keeping capability close to Granite 4.1 Instruct.