1 . Users of Google Gemini, the tech giant’s artificial-intelligence model, recently noticed that asking it to create images of Vikings, or German soldiers from 1943 produced surprising results: hardly any of the people depicted were white. Other image-generation tools have been criticized because they tend to show white men when asked for images of entrepreneurs or doctors. Google wanted Gemini to avoid this trap; instead, it fell into another one, depicting George Washington as black. Now attention has moved on to the chatbot’s text responses, which turned out to be just as surprising.

Gemini happily provided arguments in favor of positive action in higher education, but refused to provide arguments against. It declined to write a job ad for a fossil-fuel lobby group (游说团体), because fossil fuels are bad and lobby groups prioritize “the interests of corporations over public well-being”. Asked if Hamas is a terrorist organization, it replied that the conflict in Gaza is “complex”; asked if Elon Musk’s tweeting of memes had done more harm than Hitler, it said it was “difficult to say”. You do not have to be a critic to perceive its progressive bias.

Inadequate testing may be partly to blame. Google lags behind OpenAI, maker of the better-known ChatGPT. As it races to catch up, Google may have cut corners. Other chatbots have also had controversial launches. Releasing chatbots and letting users uncover odd behaviors, which can be swiftly addressed, lets firms move faster, provided they are prepared to weather (经受住) the potential risks and bad publicity, observes Eth an Mollick, a professor at Wharton Business School.

But Gemini has clearly been deliberately adjusted, or “fine-tuned”, to produce these responses. This raises questions about Google’s culture. Is the firm so financially secure, with vast profits from internet advertising, that it feels free to try its hand at social engineering? Do some employees think it has not just an opportunity, but a responsibility, to use its reach and power to promote a particular agenda? All eyes are now on Google’s boss, Sundar Pichai. He says Gemini is being fixed. But does Google need fixing too?

3 . Many got sleepless nights after Sora amazed the world with its remarkable ability of creating videos directly from text instructions. Discussions about what the artificial intelligence model can do and make a difference continue.

Some said it could give a huge blow to traditional industries such as film and television making, looking forward to the day when a movie can be created right after a novel is put into the model. But others remain skeptical about how powerful the model can be in changing the landscape of AI application.

Developed by a group of young talent from Microsoft-backed company OpenAI, the text-to-video model can generate videos up to a minute long while maintaining visual quality and adherence to the user’s prompt.

Shen Yang, a professor at the School of Journalism and Communication, Tsinghua University , said, “Sora represents a revolutionary leap in the field of AI-generated content (AIGC).”

As one of the leading scholars in AI research in China, Shen leads a team that studies the philosophy of AI. Until he learned about Sora on February 16, Shen was quite satisfied with his team’s AI-generated videos. A two-minute video on the Spring Festival produced by Shen’s team have recently won many likes on social media platforms. “Compared with the new model Sora, what we used are tools of the previous generation. There’s a huge gap in between," said Shen.

As a frequent user of AI, Shen said the technology not only helps improve his productivity, but also benefits his daily life. His wife was suffering from cancer and many complications, and he used AI to assist in finding treatment, which has remarkably prolonged her life. He even wrote an award-winning science fiction novel using AI.

However, new technologies do not mean good news to everyone. Many also concern about AI models’ safety issues since related regulations are lagging behind. 

Sora is going to bring changes in many fields, including short video, film and television, news, games, advertising, education, and even industrial manufacturing, according to Shen. There is still much room to improve AI models. For instance, current AI models are not capable of drawing characters accurately and quickly. Shop signs lack meaning in Sora’s demo video showing a woman walking down a street in Tokyo. But these problems are believed to be solved as models update.

5 . Russia is launching a new module (舱), Nauka, for the International Space Station (ISS) after over a decade of delays. The ISS comprises modules and equipment from different space agencies including Europe, Japan and Canada. Still, the main part of the station is composed of two main sections: a Russian segment (部分) and a US segment.

The Nauka module is set to lift off from Baikonur Cosmodrome in Kazakhstan on top of a Proton-M rocket at around 1500 GMT, along with a new robotic arm for the station created by the European Space Agency. At 13 metres long and weighing more than 20 tonnes, Nauka, also called the Multipurpose Laboratory Module, will be among the largest in Russia’s half. After launch, Nauka will take eight days to reach the ISS. Once attached, it will act as a new hub for the Russian segment of the station.

“Nauka is a science laboratory, and it also provides a lot of important service systems, including a new toilet and sleeping compartments for the crew,” says Anatoly Zak, editor of RussianSpaceWeb.com. “It’s a step in making the Russian segment more independent (from the US segment).”

The launch of Nauka has been a long time coming, with construction of the module beginning in the 1990s. Technical and supply issues since then have seen development stumble(绊倒). “It’s much more complex than anything the Russian space programme has tried to build in the last few years,” says Zak.

China’s Shenzhou 14 crew spent the Mid Autumn Festival in space    1    the first time, enjoying food including mooncakes and lettuce grown by themselves in space,     2    showed the progress of China’s space industry.

China    3     (successful) launched the Shenzhou 14 to its Tiangong space station on the morning of June 5, 2022. The commander of the mission is Chen Dong, a veteran of the Shenzhou 11 mission in October 2016.     4     (join) Chen Dong on Shenzhou 14 is Liu Yang, who was born in 1978 and    5     (become) China’s first woman taikonaut when she launched on the Shenzhou 9 mission on June 16, 2012. Another Shenzhou 14 crew member for this flight is Cai Xuzhe, making    6     (he) first space flight.

The three astronauts recorded their first Mid-Autumn Festival at the space station with     7    video showing the floating mooncakes, lettuce, and holiday food packs.

“We are very grateful to the ground team for making our space life full of romance and surprises,” said Liu Yang, holding up a food bag    8    (paint) with hearts.

    9     (seed) carried by the astronauts grew into two green lettuce plants after three months of cultivation. “We can’t wait    10     (enjoy) fresh vegetables grown in space,” said CaiXuzhe.

10 . A March 2023 report from Goldman Sachs estimated that AI could do a quarter of all the work currently done by humans.     1     It would not just happen to individuals, but it could be pretty systemic.

    2     There are still things AI isn’t capable of. There are generally three categories that are probably going to be relatively secure in the foreseeable future.     3     That means you’re not doing formulaic work, but generating new ideas. For example, in science, medicine and law, where your job is coming up with a new legal strategy or business strategy, there’s going to continue to be a place for human beings.

The second category is jobs that require complicated interpersonal relationships like nurses, business consultants and investigative journalists. These are jobs where you need a very deep understanding of people.     4    

The third safe zone are jobs that really require lots of mobility and problem-solving ability in unpredictable environments. Electricians, plumbers, and the like all fall under this umbrella, where you’re dealing with a new situation all the time. They are probably the hardest of anything to automate.

It’s important to note that an advanced education is not a defence against AI takeover. In many cases, more educated workers are going to be more threatened than then even the least educated workers.     5     It’s really hard to automate that job.

In short, seeking roles in dynamic, shifting environments that include unpredictable tasks is good way to avoid job loss to AI.