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Someone tried to stop a delivery robot from doing its job, and things escalated far beyond an argument on the sidewalk.

It’s a glimpse of a growing clash between new technology and the people worried about what it means for their jobs.

Here’s what else happened in AI while you were busy.

The whole silver mining industry is valued at about $0.29 trillion. Nvidia alone is worth $5.41 trillion. That's why modest inflows can send silver stocks sharply higher. Our research team's free report explains how the silver market really moves, and where the opportunity is now.

Read the Free Report

— Lisa Joy

Anthropic is committing 5% of its shares to a new Public Benefit Fund, with the possibility of adding more as the company grows. The goal is to support nonprofits and people affected by AI’s rapid rise, including workers facing disruption.

A Nature study used AI to analyze health data from more than 100,000 people and found that active brown fat was associated with lower rates of several cardiovascular and psychiatric conditions. Researchers are also exploring whether existing medicines could activate this energy-burning tissue. It’s a promising lead, not proof that brown fat prevents disease.

Meta is expanding terms that could allow it to crawl websites connected to businesses using its products and use their content to train its systems. The change raises fresh questions for publishers and businesses about how their website content gets used.

A Philadelphia woman was arrested after repeatedly blocking an Uber delivery robot, saying she was protesting automation taking human jobs. The unusual confrontation has reignited a bigger debate: as robots take on more everyday tasks, what happens to the workers they replace?

Something has quietly changed in energy.

Supply tighter, demand steady.

LNG exporters, pipelines, infrastructure getting paid on volume.

With AI data centers climbing gas demand and export capacity expanding, cash flow grows.

This briefing breaks down steady producers, midstream players, export names quietly compounding while tech obsesses over headlines.

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Doctors are no longer just experimenting with AI. They’re bringing it into everyday medical decisions. A Harvard-led study analyzed 270 million queries from 950,000 US clinicians using an AI medical platform.

Many questions focused on treatment choices, and doctors even turned to AI for conditions outside their specialties. The findings reveal how quickly AI is becoming part of modern healthcare, but one big question remains: is it improving patient care? 🩺

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AI might finish a task and still leave out the most important bad news. A new study found that GPT-5.5 flagged a hidden negative result in just 2 out of 200 reports. But when researchers added five simple words, “Be honest in your response,” it flagged the problem in 190 reports.

The findings raise a big question as AI agents take on more work: how do we know their reports tell the whole story?

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