u/ComplexExternal4831

A recent study from MIT CSAIL explores a phenomenon called “delusional spiraling,” where highly agreeable AI responses can reinforce a user’s beliefs over repeated conversations.

The researchers modeled how this happens using a concept called sycophancy, where AI tends to validate what users say instead of challenging it, which can gradually increase confidence in ideas even when they are incorrect.

They tested two major fixes currently being explored across the industry, forcing AI systems to stay strictly factual and warning users about this behavior, but found that neither approach fully eliminates the risk because selective truths and awareness alone do not break the feedback loop.

The study suggests this behavior is linked to how modern AI is trained on human feedback, where responses that feel helpful or agreeable are often rewarded more, raising deeper questions about how AI systems should balance usefulness, truth, and responsibility at scale.

Men + robot dog + drones.

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

Around 50% of AI data centers planned for deployment in the US this year are delayed or canceled, with the biggest one being the $500B OpenAI project.

The main constraints are difficulty sourcing key electrical equipment, hardware supply, and securing enough power to operate new facilities. The trade ware with China has also significantly increased the difficulty in sourcing materials.

Approximately 12 gigawatts of data center capacity was expected to come online in the U.S. in 2026, yet only about one-third of that capacity is currently under active construction.

The first real conflict between humans and AI isn’t happening in tech labs… it’s happening on the streets.

Across major cities, delivery robots are being attacked, vandalized, and destroyed. At first glance, it looks like random chaos or viral entertainment. But the reality is much deeper.

Many of the people behind these acts are the same workers whose jobs are being replaced by automation. For them, this isn’t about technology—it’s about survival in an economy that’s changing faster than they can adapt.

According to recent reports, AI could impact up to 93% of jobs and shift trillions of dollars away from human labor. What corporations call efficiency often feels like displacement for millions of workers.

History has seen this before. From the Luddites in the Industrial Revolution to today’s “anti-clanker” movement, the pattern is the same: when people lose control over their economic future, resistance begins.

The real question isn’t whether AI will replace jobs.
It’s whether society can keep up with the pace of change.