2026 年 06 月大学英语六级考试真题（第 3 套）

Imagine you and a stranger are sitting on a couch. How close would you sit to them? It turns out that how much of a __26__ zone you prefer may reveal a lot about your personality.

In one study, researchers sought to __27__ how our personality may be linked to our preferred amount of personal space. The researchers found that people who scored higher in the __28__ of agreeableness tended to sit closer to others, as did people who were more open and outgoing.

Other individual differences, such as gender and age, can also affect how much personal space we __29__. Women tend to prefer more physical distance from strangers or acquaintances and older adults also generally tend to prefer to keep more distance between themselves and others.

Beyond reflecting our personality and __30__, the amount of personal space we prefer is also linked to our cultural backgrounds. In a study involving participants from 42 countries, researchers found that around the world people's desired amount of personal space varied __31__. For example, in Romania, the average amount of personal space people said they would prefer from a stranger was more than 4 feet, whereas in Argentina it was roughly half that.

What might __32__ this variation? The researchers looked at a number of __33__ factors, but the only one that was significantly __34__ with preferred interpersonal distance was average temperature. The warmer the place, it seems, the "warmer" the people and the less space they needed between others.

Personal space may also reflect interpersonal attraction. Researchers have found that our chosen physical __35__ also appears to reflect how much we like others. The more people would like to be friends with the other person, the closer they sat to them.

Three artists have brought a lawsuit against Stability AI, DeviantArt, and Midjourney, alleging that the text-to-image AI tools have infringed the rights of thousands of artists.

The lawsuit claims that the Stable Diffusion tool used by Stability AI, DeviantArt, and Midjourney was trained on billions of copyrighted images downloaded from the internet and used by the companies "without compensation or consent from the artists."

The artists are represented by The Joseph Saveri Law Firm and Matthew Butterick.

"If Stable Diffusion and similar products are allowed to continue to operate as they do now, the foreseeable result is they will replace the very artists whose stolen works power these AI products with whom they are competing," the law firm wrote in a press release. "AI image products are not just an infringement of artists' rights; they will eliminate 'artist' as a viable career path. In addition to obtaining compensation for the wrongful conduct, this lawsuit seeks to prevent that outcome and ensure these products follow the same rules as any other new technology that involves the use of massive amounts of intellectual property. If streaming music can be accomplished within the law, so can AI products."

Since text-to-image generators have increased in popularity in the past year, many artists have been vocalizing their opposition to AI art after seeing their own distorted signatures appear in AI art and finding out that their work was used to train the tools without their permission.

Not only are many artists furious at the possible copyright violations of AI art, but they have also been frustrated by how AI tools are able to sidestep the labor and art processes they are required to go through. As a result, many artists have been trying to ban AI art from art-sharing platforms.

As AI innovation continues at a rapid speed, it seems that artists and lawmakers are trying to put a brake on further developments before it's too late.

Many tech enthusiasts are still rallying around the promise of AI tools to create detailed images cheaply and quickly—anonymous tech supporters have already published a response to Butterick and Joseph Saveri's lawsuit on a website, using the "fair use" clause as the basis for why copyrighted images could be used by the tool.

Fair use, a legal doctrine that allows for a limited usage of copyrighted materials without permission by the original creators for purposes such as teaching and news sharing, is what a lot of generative model creators claim that their training data is covered by. However, since fair use applies differently to each case, it's hard to make a blanket statement about all works in a dataset as being applicable.

On a warm October morning, Daniel Agok woke up to another disappointing day at his school in Wanyjok, South Sudan. The classes he had planned teaching computer skills to aspiring young professionals were canceled, due to an unreliable diesel generator and the absence of a municipal power grid in his area. Now, he would be losing frustrated customers as well as income. Agok is just one of the hundreds of millions of people in sub-Saharan Africa, many of whom are business owners, who still do not have dependable electricity. This inequitable access to energy continues to put their livelihood and future at risk.

The current system keeps a lid on the economic talents of people like Agok and his students. We must instead unleash their abilities and let Africa reach its true economic potential. That means wiring Africa with clean, dependable energy.

Historically, national governments on the continent have led electrification efforts, but fewer than half of the people surveyed say that the national grid is providing a reliable supply of electricity.

This has led to expensive and harmful temporary "solutions". In Nigeria alone, experts estimate people spend $13 billion every year on fuel for toxic, polluting generators. That number will only grow as the continent's population hits 2.5 billion people by 2050. Deploying modern grid infrastructure with speed and at scale is essential to replacing these temporary solutions with reliable and affordable alternatives.

The rapidly growing private power sector in Africa holds the key to achieving the speed and scale necessary to close the continent's energy access gap. Private companies today are building world-class infrastructure and driving forward economic growth with sustainable business models. In fact, many governments agree and have begun to embrace the private sector as partners in providing reliable power at scale. In South Africa, President Cyril Ramaphosa has streamlined licensing requirements and enlisted the private sector to play a key role.

South Africa is just one example. Across the continent, the private sector has delivered power faster and more reliably, and governments are increasingly turning to private partners.

With the right funding and structure in place, the private sector will come together to provide this essential service. After all, electrifying sub-Saharan Africa is a $350 billion opportunity.

Today, Daniel Agok is steadily growing his business in South Sudan. His town of Wanyjok was electrified by a private company, providing clean, reliable, and affordable power to his business and his neighbors. Agok now operates his growing computer skills training business smoothly. His classes are no longer affected by the smell and the constant noise of the diesel generator, and he saves money with more affordable power. His students are developing hardware and software skills.