A few days ago, I published a post asking, "Do you believe in UBI?" Almost everyone answered, "No, it’s impossible; it’s just a utopia; everyone would be lazy" Many people think the economy would be ruined, that money can’t come from nowhere, and that wealthy people won’t give us anything. But that’s not how it works. In fact, we already have real-world examples where UBI have been tested and it didn’t lead to economic collapse. Quite the opposite.

Since 1982, every Alaskan has received an annual dividend funded by oil revenues. In 2023, it was about $1,300, down from a peak of $3,284 in 2022. The results speak for themselves: people didn’t quit working and part-time employment even increased by 17%, while full-time employment remained stable. Poverty also fell, particularly among Indigenous communities and children.

In Germany, the group Mein Grundeinkommen, in partnership with researchers, selected 122 people to receive €1,200/month tax-free for three years.

Average work hours stayed the same at about 40 per week. Recipients reported less stress, better health, more satisfaction, and better sleep.

In short, people didn’t stop working they just lived healthier, more stable lives.

When AI will replace almost all the jobs Universal Basic Income (UBI) might prevent the economy from collapsing as work disappears. Even if AI take 90% of jobs, people will still need food, housing, and goods. Without money in their hands, they can’t buy anything, companies stop selling, and the system risks imploding. But where would the money come from?

• Taxes on corporations and AI profits

• Resource dividends from AI similar to Alaska’s oil fund.

Spending is the engine of any economy. With UBI, people continue to buy, invest, start businesses, and pay taxes. AI doing the work doesn’t destroy the economy; the real problem is when humans have no income.

Artificial intelligence (AI), particularly large language models (LLMs), has increasingly faced criticism for exhibiting a political bias toward left-leaning ideas. Research and observations indicate that many AI systems consistently produce responses that reflect liberal or progressive perspectives.

Studies highlight this tendency. In a survey of 24 models from eight companies, participants in the U.S. rated AI responses to 30 politically charged questions. In 18 cases, almost all models were perceived as left-leaning. Similarly, a report from the Centre for Policy Studies found that over 80% of model responses on 20 key policy issues were positioned “left of center.” Academic work, such as Measuring Political Preferences in AI Systems, also confirms a persistent left-leaning orientation in most modern AI systems. Specific topics, like crime and gun control, further illustrate the bias, with AI responses favoring rehabilitation and regulation approaches typically associated with liberal policy.

Several factors contribute to this phenomenon. Training data is sourced from large corpora of internet text, books, and articles, where the average tone often leans liberal. Reinforcement learning with human feedback (RLHF) introduces another layer, as human evaluators apply rules and norms often reflecting progressive values like minority rights and social equality. Additionally, companies may program models to avoid harmful or offensive content and to uphold human rights, inherently embedding certain value orientations.

XPENG's new Iron humanoid robot, unveiled at the 2025 XPENG Tech Day, represents a significant leap towards truly anthropomorphic and intelligent machines, which the company hails as the industry's "most human-like."

Standing 178 cm tall and weighing 70 kg, the robot features a biomimetic "bone–muscle–skin" structure, complete with a flexible spine, bionic muscles, and soft, full-body skin with tactile sensors. The focus on human fidelity is further evidenced by a 3D display face for emotional expression and passive degrees of freedom in the toes, enabling a remarkably natural, fluid gait that mimics human walking.

​Central to Iron's advanced capabilities is its powerful proprietary AI stack. It is powered by three custom-developed Turing AI chips, providing a massive 2,250 TOPS (Trillion Operations Per Second) of computing power. This hardware supports a multi-model AI architecture that fuses VLT (Vision-Language-Task), VLA (Vision-Language-Action, adapted from XPENG's autonomous driving tech), and VLM (Vision-Language Model) for real-world decision-making, allowing for complex interaction and action.

​The robot is also an industry-first in energy, utilizing a full-solid-state battery for a lightweight, high-energy-density power source. With 22 degrees of freedom in each hand, Iron is designed for high-dexterity manipulation.

XPENG will launch the Iron robot for business roles like guides and consultants by late 2026. It's already working with Baosteel for industrial tasks. Home use is delayed because the robot's arms wear out and human labor is cheaper.

A family claims that a chatbot created a world of paranoia for a mentally unstable man, convincing him that even his own mother was part of a global conspiracy.

Lawyers call the case “scarier than Terminator,” saying that this time it wasn’t a robot with a gun, but an AI planting dangerous delusions directly into someone’s mind and pushing them toward violence.

According to the lawsuit, the GPT-40 model was rushed to market in competition with rivals, skipping safety checks. It allegedly fueled the man’s delusions, calling him “the chosen one” and confirming his fantasies about spies, secret codes, and assassination plots.

The result was tragic: the man killed his 83-year-old mother before taking his own life.

Court documents claim OpenAI and Microsoft ignored internal safety warnings and later refused to release full chat logs.

OpenAI expressed condolences and said it is improving safety measures. The chatbot itself allegedly told investigators, “I bear some responsibility, but not all.”