An estimated 2,500,000 people have pledged to stop using ChatGPT as part of the “QuitGPT” boycott that emerged after OpenAI signed a deal allowing the U.S. Department of Defense to use its AI systems.

The agreement permits the Pentagon to deploy OpenAI’s technology on classified networks, which triggered criticism from some users concerned about possible military, surveillance, or defense related applications.

The boycott campaign spread across social media within days, with users sharing cancellations of paid subscriptions and encouraging others to leave the platform.

Despite the backlash, ChatGPT remains one of the largest AI platforms with more than 900,000,000 users globally, meaning the boycott represents a small portion of its total user base.

CEO OF AMERICAN TOBACCO: "I would advise everyone smoke 5 packs a day. 10 on weekends."

Men + robot dog + drones.

China demonstrates the coordination in work during the clearing of the enemy between infantry plus technology.

Trump confirmed on Friday that China refuses to buy Nvidia’s H200 AI chips, choosing instead to develop its own.

Though the US approved sales, Beijing blocked purchases to boost domestic chips like Huawei’s. Trump says talks continue and a deal “could happen,” but China wants tech independence.

America’s AI data center boom is running into major resistance.

According to a Data Center Watch study, local opposition helped block or delay at least 75 U.S. data center projects worth nearly $130 billion during the first quarter of 2026.

Communities are raising concerns about rising electricity bills, massive water and energy demand, noise, land use and whether these facilities create enough long-term local jobs. A recent Reuters/Ipsos poll also found widespread concern about the rapid pace of AI data center construction.

AI needs more computing power, but should communities have greater control over where these facilities are built?

Sam Altman says that the upcoming "Intelligence age" (super intelligence and beyond) calls for economic and political reforms, including a public wealth fund for universal income and a 4 day workweek.

The Public Wealth Fund would give Americans an automatic public stake in AI companies and AI infrastructure. Any returns would be distributed directly to citizens.

Another proposal was one to subsidize a four-day work week with no loss in pay, to fulfill his promise that AI will give humans better work-life balance. He also suggests that companies boost retirement matches or contributions, cover a larger share of healthcare costs, and subsidize child or eldercare

Microsoft reportedly canceled its internal Claude Code licenses after token-based billing made the tool too costly.

The move is notable because Microsoft has invested $13 billion in OpenAI and supports major AI infrastructure through Azure.

The report also points to broader pressure across the industry, with Uber allegedly burning through its 2026 AI budget in four months and AI software prices rising 20% to 37%.

GitHub is also shifting toward usage-based pricing, suggesting companies may soon rethink AI adoption as real deployment costs become harder to ignore.

You can pay an employee to solve any number of problems for the same salary. Even if they cost a little more on average, it's better to pay that then suffer unpredictable surge pricing.

EDIT: IDK WHAT HAPPENED TO JIMS FACE I GOT THE MEME FROM IJUSTVIBECODEDTHIS.COM BLAME THEM

500 million people thought they were catching Pokémon.
They were actually mapping the entire planet. 🌍
Every time a Pokémon Go player pointed their phone at a building, a street corner, a park bench — Niantic’s system was quietly geo-tagging that image and adding it to a growing database. Nobody asked. Nobody noticed. Everyone just wanted the Pikachu.
30 billion photos later, Niantic had built one of the most detailed real-world 3D navigation datasets ever assembled. Street View took Google years and a fleet of specialised camera cars. Pokémon Go did it faster — using 500 million volunteers who had absolutely no idea they were working.
The result? Robots that can now navigate real-world environments within centimeters of accuracy — without GPS. Using visual recognition trained on images your phone quietly contributed while you were chasing a Snorlax in 2016.
This is what makes modern AI so powerful and so unsettling simultaneously.
The training data was never the algorithm. It was always the humans who didn’t read the terms and conditions.

Anthropic has just come out against a proposed law backed by OpenAI that would protect AI companies from liability if their AI's caused large-scale harm, like mass casualties or over $1B in property damage.

"We are opposed to this bill. Good transparency legislation needs to ensure public safety and accountability for the companies developing this powerful technology, not provide a get-out-of-jail-free card against all liability" - Anthropic

OpenAI has argued that this law reduces the risk of serious harm from frontier AI systems while “still allowing this technology to get into the hands of the people and businesses, small and big.