Amazon has cut about 30,000 jobs and now plans to hire around 11,000 people, mainly engineers, developers, and interns. The move shows that AI is changing job needs, not fully replacing human workers.
A new browser extension watches a live debate and labels each claim a politician makes as true, misleading, or false while they are still speaking.
The tool is called InTruth, built by a Reddit user as part of a university research project on natural language processing and deception.
It works on top of debates, interviews, and press conferences in Chrome. The extension transcribes speech in real time, sends the text to a search tool that pulls sources from the open web, then passes those sources to Claude, which issues a verdict based on the retrieved evidence rather than its training data.
Each verdict is tied to the speaker who made the claim.
It is still early, runs on a key the user supplies, and only evaluates factual claims, not opinions or predictions.
The shift is that real-time fact-checking once needed full newsrooms, but now it's single developer that built a version that runs in a browser tab.
OpenAI has reportedly discussed giving the U.S. government a 5% stake in the company.
The proposal would reportedly encourage other leading American AI firms to offer similar stakes through a public vehicle modeled on Alaska’s Permanent Fund, which pays dividends to residents.
The idea comes as U.S. officials debate how AI should be regulated and whether more Americans should benefit from its growth.
The FT said Sam Altman discussed the proposal with President Trump and other officials.
Meta is reportedly spending at least $50,000 per employee each year on AI tokens.
The firm said Meta used 70 trillion tokens in February, after employees were encouraged to use AI tools.
An internal dashboard ranked the company’s biggest token users, leading employees to run AI agents longer to increase usage.
The dashboard was later shut down.
The figure is based on list prices, not a confirmed Meta disclosure.
A new game called CatchCat turns the real cats on your street into collectible cards. You point your phone at any cat, snap a photo, and on-device AI detects it, reads its breed, and assigns a rarity from common to legendary, all without uploading anything to a server.
It was built by German developer Sebastian Seidel as his second app, and demand has already outpaced the servers. The interesting part is that one developer shipped a full camera game with real-time detection and a shared map, the kind of product that once needed a studio.
🚨 Anthropic has accused Alibaba of running the largest known attempt to copy its Claude models, according to a letter the company sent to US lawmakers.
The letter says operators affiliated with Alibaba and its Qwen AI lab used roughly 25,000 fraudulent accounts to carry out more than 28.8 million interactions with Claude between April 22 and June 5, 2026.
Anthropic calls it the largest known distillation attack against it to date.
Distillation is a method where a weaker model is trained on the outputs of a stronger one. A competitor repeatedly queries a leading model, collects its responses, and uses that data to train a cheaper system.
Anthropic says the campaign targeted Claude's software engineering and agentic reasoning capabilities, two of the most commercially valuable areas in AI.
The accusation follows February 2026 disclosures naming DeepSeek, Moonshot, and MiniMax in similar campaigns, which makes the Alibaba allegation significantly larger in scale.
Alibaba has not responded, so these remain Anthropic's claims, but they reflect a growing reality where frontier models are being used to train the systems trying to catch up to them.
Ford has hired, promoted or brought back around 350 experienced technical specialists over the past three years after its AI and automated quality systems did not meet expectations.
These specialists include former Ford employees and engineers from suppliers. They are helping spot potential failures before parts reach production, mentor younger staff and improve the company’s AI tools.
Amazon said it will invest more than $35 billion across its India businesses by 2030, expanding its focus on AI, ecommerce exports, logistics, and job creation.
The company said it has invested nearly $40 billion in India so far, helping digitise over 12 million small businesses, enable $20 billion in ecommerce exports, and support about 2.8 million jobs in 2024.
The announcement comes as Microsoft and Google also commit billions to AI and cloud infrastructure in India.
What if the cure for overheating AI data centers was just... putting them in Antarctica?
It's an idea that keeps coming up, and on the surface it makes sense. The continent's freezing air could cool servers naturally, cut cooling costs, and save the huge amounts of water many facilities rely on.
The catch is everything else. Antarctica has almost no power grid, very limited fiber internet, brutal weather, punishing logistics, and strict environmental protections, which together make a large commercial data center wildly impractical no matter how good the cooling is.
That's why the companies actually chasing this build in cold places like Iceland, Norway, Sweden, and Finland instead.
There, the natural cooling comes with reliable electricity, fast internet, and real infrastructure, so they get the efficiency without Antarctica's impossible problems.
19-year-old Chinese student Zhang Wei built an AI-powered traffic radar using Claude, spending only around $20 and one month to develop the system.
According to the story, the system connects to a camera and detects vehicle speed in real time. When a car exceeds the limit, the AI records a video clip, reads the license plate, identifies the owner, and automatically sends the fine through email.
What makes this interesting is not just the price tag, but what it represents. AI tools are making it possible for individuals to build products that once required full engineering teams, expensive hardware, and long development cycles.
The California state government has partnered with Anthropic to make Claude available to state agencies at a 50% discount.
The agreement includes free training, technical support and workflow help for state employees.
Claude will be the first AI productivity tool offered through the California Department of Technology’s shared IT services portal.
Gov. Gavin Newsom said the goal is to help public workers work faster, not replace them.
Some of the most valuable data in robotics is being recorded in ordinary kitchens in southern India.
Workers there, many of them housewives, strap smartphones to their foreheads and film themselves doing chores like slicing mangoes and folding clothes.
The footage is shot in first person, capturing exactly what their hands see, which is the viewpoint a humanoid robot needs to learn from.
One worker in Chennai earns about 250 rupees an hour, close to $2.6. Indian data firms like Objectways process the clips and tag every movement, while US companies such as Micro1 gather more than 160,000 hours of footage a month and still call it far short of what they need.
The demand comes from Tesla, Figure AI, and others racing to build humanoids while real-world data stays scarce.
Robots used to be programmed motion by motion. Now they learn by copying recorded human demonstrations, which is why everyday household behavior has quietly become one of the most sought after materials in the robotics industry.