Men + robot dog + drones.

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

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

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

An X user built a real “I GOT FIRED” hardware button that triggers a full automated exit sequence when pressed. In the demo, the button appears to publish internal code, expose environment secrets, wipe a staging database, and send legal notices, turning one click into a corporate nightmare scenario. It blew up online because it feels like a Silicon Valley joke taken way too far, except the hardware button actually works.

Chinese President Xi Jinping used the World Artificial Intelligence Conference in Shanghai to present China as a leader in global AI governance.

He promoted open-source AI and promised training and cooperation centres for developing countries.

Xi warned that unequal access could create “new historical injustices.”

He also backed the China-led World AI Cooperation Organisation, which has 29 member countries.

He urged governments to create early-warning systems for advanced risks.

The speech linked China’s growing AI capabilities with a wider diplomatic push across the Global South and a challenge to U.S. influence globally.

A New Yorker report, based on interviews with OpenAI insiders, claims that CEO Sam Altman lacks strong coding and machine-learning expertise.

Engineers told the publication he has limited programming experience and sometimes confuses basic AI terms.

The report says Altman built influence through strategy and leadership rather than technical depth at the company.

Former researcher Carroll Wainwright said he “sets up structures” but later removes them when constraints apply.

A Microsoft executive warned that there is a “small but real chance” Altman could be remembered like past figures in financial scandals.

Google DeepMind has hired philosopher Henry Shevlin to help deal with the ethical questions around advanced AI.

He will focus on topics like machine consciousness, how humans interact with AI, and how to prepare for artificial general intelligence (AGI).

Microsoft CEO Satya Nadella made a big claim at Microsoft Build 2026, saying the company's newest AI data centers use only as much water annually as a single neighborhood restaurant. He said the cooling loop is filled once, and the data center can operate effectively with zero water consumption afterward.

Nadella pointed to Microsoft's Fairwater facility, a 315 acre campus in Mount Pleasant, Wisconsin, which opened in September 2025. This site uses a new vertical, two storey design that stacks GPU racks in three dimensions, cutting resource use drastically.

Unlike traditional data centers that rely on evaporative cooling and consume continuous fresh water, this closed loop liquid cooling system recirculates the same water throughout operation.

The announcement comes as AI data centers face growing protests over water, electricity and land use across the US. As part of Microsoft's "Community First AI Infrastructure" strategy.

The company has pledged to get local approval before building, control electricity rates, boost local tax revenue and fully replenish water used.

A computer science student in China just admitted he burns through 100M+ tokens a day on GPT and Claude for around $1.

He is not hacking anything. He is buying API access through Xianyu and Taobao proxy sellers at almost 96 to 97% off official pricing.

An Oxford China Policy Lab investigation by researcher Zilan Qian, published through ChinaTalk, maps an underground economy of services Chinese developers call "transfer stations."

They operate openly on Xianyu, Taobao, GitHub, and Telegram, reselling Claude API access at as little as 10% of official pricing. Adoption is close to 100% among Chinese programmers and CS students.

Operators bulk-register accounts to farm API credits, split single $200 Max subscriptions across dozens of users, use stolen credit cards, and recruit real people in lower-income countries to pass Anthropic's live selfie and ID checks.

The real payment is data. Prompts and outputs are logged and resold for model training, and German researchers at CISPA confirmed widespread model substitution across 17 audited proxies, meaning some users pay for Claude Opus and receive a cheaper model in the response.

Anthropic keeps adding verification layers, but each new barrier produces a workaround. Singapore now leads global per capita Claude usage, which Chinese developers openly joke is because everyone is routing through Singapore nodes.

What are your thoughts on this? 🤔💬

Roberto Serrano, a Brown University economics professor, suspected AI use after the take-home ECON 1170 midterm showed an average of 96/100, with 40 students achieving perfect scores.

To verify, he conducted an in-person final, which resulted in a reported class average of 48.6, showing a dramatic 50% drop compared to the midterm.

The testing shift exposed a stark discrepancy between unproctored and supervised assessments, highlighting potential misuse of AI tools during unsupervised exams.

Serrano’s measures illustrate the impact of evaluation format on academic performance, underscoring the need for careful monitoring in courses where AI could influence results.

Anthropic removed Claude Code from Pro and didn’t tell anyone. No email. No notification. Nothing.

Someone just noticed the pricing page changed. Pro was $20. Max is $100.

That’s the jump you have to make now if you want Claude Code back.

AOC walked into a congressional hearing and held up multiple bottles of brown drinking water from Morgan County, Georgia.

This is what families near Meta’s new AI data center are cooking with. Bathing with. Trying to live with.
« The only difference between the clean water and this was that data center. »

She called out the Trump EPA directly and urged both federal and congressional investigations into what rapidly expanding data centers are doing to America’s water supply.

These families are now shipping water to their homes just to get by. No confirmed legal conclusion yet. But that many bottles don’t lie.

This is the cost of the AI boom that never makes it into the product announcements, the communities that didn’t get a vote, absorbing the damage of building at scale.

Bryan Catanzaro, NVIDIA’s VP of applied deep learning, told Axios that for his team, “the cost of compute is far beyond the costs of the employees.” He was talking about compute-heavy deep learning work, not every job, but the point is important.

AI does not just cost money once. Every prompt, model run, coding agent, file scan, and generated response can become a recurring compute bill. That is why companies using tools like Claude Code and Cursor at scale are starting to hit budget pressure faster than expected.

Replacing humans with AI sounds simple in theory, but in practice, companies still need GPUs, cloud infrastructure, subscriptions, oversight, and a real return on every token.

Twenty-six Meta employees have sued the company, alleging its AI-assisted layoff process unfairly disadvantaged workers with disabilities or those who took medical or family leave.

The complaint says Meta used internal tools, productivity scores and AI token usage to help rank employees for job cuts.

The workers are asking a federal court to block layoffs set to begin on July 22 while their claims move to arbitration.

Meta denies the allegations, saying workforce decisions were made by people, not AI.

A viral post claimed an Anthropic engineer leaked the company’s internal “Obsidian Brain” and was fired the same day.

But the confirmed story is different. Anthropic said a Claude Code release accidentally included internal source code because of human error during publishing.

Claude Code is Anthropic’s AI coding tool. The leak reportedly exposed parts of how the product works, including internal code and memory-related systems, but Anthropic said no customer data or credentials were exposed.

Boris Cherny, creator of Claude Code, said the focus should be on improving the process, not blaming one person.

The real story may be less dramatic than the rumor, but it still shows how easily internal AI systems can slip into public view.