Richarlyson’s offside goal was blown away! Create some assists, and Kong Di will give him 85 minutes to redeem himself!

Kong Di personally exposed Richarlyson’s evaluation of his own season, and it seems that he didn’t treat Richarlyson as an outsider!

After that, Kong Di also gave Richarlyson a chance to play, so that this vicious person who has confessed his bad state can find a chance!

In the third minute, Richarlyson scored a long pass from Skip!

Richarlyson, who had been depressed for a long time, did not celebrate passionately after making a gesture of shutting up. He vaguely felt that there might be offside!

Teammates don’t care about that. They rushed around Richarlyson and started cheering. Let me touch your lovely hedgehog head!

As a result, the right shoulder is offside!

Poor Brazilian!

After that, Richarlyson made a penalty for Kane and assisted Sun Xingyi to score!

Richarlyson’s performance, worthy of the No.9 jersey, has not scored in the Premier League since he moved to Tottenham, which is unfair to Brazilians! If Kane gives him a penalty, the Brazilian will definitely appreciate the captain’s favor!

Unfortunately, Kane himself is struggling to accumulate the number of goals in the scorer’s list! No, Harland has scored 28 goals.

Richarlyson still made captain Kane score!

Adult beauty, this story can give today’s Richarlyson, of course, Kane also accepted Richarlyson’s kindness. His goal count has reached 20!

"A gentleman’s adult beauty is not an adult’s evil. The villain is the opposite. " From The Analects of Confucius.

On one occasion, Zhang, a student of Confucius, asked Confucius how to enter politics. Confucius replied: to do a thing to the end, there must be no boredom; Do what you say. He added: "As a gentleman, he always helps others to do good things, instead of urging others to do bad things successfully. Little people, on the contrary, good things don’t help. Give a hand to the bad things.

Xu Deyan, the son of Prince Chen in the Southern Dynasties, and his wife, Princess Lechang, were afraid that their country would break, so they could not keep each other together. Because they broke a bronze mirror, they held each other’s hands and sold it in the city around the first month of the next year, hoping to meet each other. After Chen’s death, the princess disappeared into Yang Su’s house. De Yan arrived in Beijing on schedule, and saw a pale head selling half a mirror, which was half consistent. Deyan inscribed a poem: "The mirror goes with people, and the mirror returns to people; There is no shadow of the moon, and the moon is bright. " The princess won the poem, but she wept and didn’t eat. Know it, that is, call for moral words, return it to the princess, and return to Jiangnan to die.

Later generations have the story of "second time around", which is so poignant to the depths of human nature that tears wet clothes. If there is an opportunity to be an adult, try to do good deeds!

Perhaps Kane, after reading this, will secretly make up his mind to give Richarlyson a penalty in the next Premier League game.

Kong Di gave Richarlyson an 85-minute chance to play. There should be no problem in the rotation of Kurusevsky and Richarlyson and playing in the Premier League. The cup is over. Grasp the single-line battle in the Premier League. Kong Di’s strength is single-line combat.

Perhaps it is not difficult to imagine that in the future, most of the hard and repetitive work will be done by machines, and human beings will have more freedom to do what they want.

Kai-Fu Lee and Chen Qiufan looked forward to the influence of artificial intelligence on all aspects of life 20 years later in AI Future Progressive.

First, the degree of intelligence of various industries in the future

Medicine: AI has insight into all the subtle problems of your body, arranges a healthy diet for you, and automatically helps you call the police in case of emergency.

Education: Every child has an AI to accompany him to grow up, understand all his study habits, give him advice, win various competitions, record his growth, and help him become a leader in that field.

Autopilot: Infrastructure and driving lanes operate separately. In addition to extreme situations that require the participation of human drivers, self-driving cars are people’s main travel tools. We don’t even have to buy a car, saving more family expenses and contributing to environmental protection.

Entertainment: We can meet idols in virtual games, make friends with idols, and sometimes we can’t even tell the difference between virtual and reality.

Energy: The renewable energy effectively combined with "solar energy+wind energy+battery technology" makes our planet cleaner and more environmentally friendly.

Second, the machine is difficult to replace and surpass human beings.

Even if AI develops for 20 years, it is difficult to surpass human beings in the following three aspects.

First: creativity, common sense and strategic thinking. "AI does not have the ability to create, conceive and plan strategically."

Second: emotion or empathy. AI has no real feelings, does not understand the happiness and pain of human beings, and it is even more difficult to enlighten people’s hearts.

Third: "Flexibility. AI and robotics can’t do some precise and complicated physical work, such as dexterous hand-eye cooperation. " AI can’t detect many potential threats and can’t accomplish many things that require human judgment.

For jobs that require high creativity and social skills, it is difficult for AI to replace humans.

In labor-oriented jobs, it is difficult for AI to replace strong social and flexible jobs such as nursing home, dog trainer, sports rehabilitation teacher and hair stylist, while high mechanical and weak social jobs such as security guards, dishwashers and warehouse pickers are easily replaced.

In intelligent jobs, it is difficult for entrepreneurs, career planners and other strong social and high-decision jobs to be replaced by machines, and optimized jobs such as telemarketing, loan officers and radiologists are easily replaced by machines.

Third, the meaning of life: how can people be human?

Perhaps, in the future, we will no longer pursue money as the most important goal, but take social contribution as a yardstick to measure the value of life.

Every revolution will bring about great changes in life, and so will the information revolution. The development of AI will indeed make many occupations disappear, but at the same time it will also give birth to more occupations.

AI does not exist as an enemy of human beings, but should be a useful tool for human beings to reshape themselves and realize their personal values.

In the face of a powerful AI, if we are lazy, only interested in pleasure, and leave all our lives to the control of machines, then the development of human civilization will also stagnate.

Grateful to AI for liberating us from repetitive labor, remember the author’s message to us in "AI Future Progressive": "If we cherish the unique qualities that human beings are born with, such as free will, love and being loved-these are exactly what AI can’t have. If we choose to believe that the harmonious symbiosis between human beings and AI will produce an effect of 1+1 far greater than 2, and make efforts for it, then the best combination of human beings and AI will bravely step forward together in the future.

I hope that with the help of AI, we can be more diligent and diligent, explore the eternal truth of life and get real happiness.

What happens when ChatGPT has vision?

Editor’s note: ChatGPT has grabbed most of the limelight in the AI field during this time. But recently, an AI model PaLM-E launched by Google, which has visual ability and can guide robots without special training, has also shown impressive capabilities. The emergence ability of this largest visual language model so far makes people think about general artificial intelligence. The article comes from compilation.

On Monday, a team of artificial intelligence researchers from Google and Technical University of Berlin launched a multimodal visual language model (VLM), which is called Palm-E. The model has 562 billion parameters and integrates vision and language for controlling robots. Researchers claim that this is the largest VLM ever, and it can perform various tasks without retraining.

According to Google, PalM-E can generate an action plan for a mobile robot platform (developed by googlebot) with a mechanical arm, and then execute it by itself, just by giving it a high-level command, such as "Give me the rice cake in the drawer".

PaLM-E realizes this by analyzing the data from the robot camera, and the whole process does not need to preprocess the scene representation. In this way, there is no need for human beings to preprocess and annotate the data, and the control of the robot can be more autonomous.

In the demo video provided by Google, PaLM -E carries out the instruction of "get me a bag of rice chips from the drawer", which includes several planning steps and visual feedback from the robot camera.

This model is also flexible and can respond to the environment. For example, the PaLM-E model can guide the robot to the kitchen to take out the rice cake bag. Because PaLM-E is integrated into the control system, it can be tolerant of possible interruptions during the task. In a video example, the researchers put the rice cake bag picked up by the robot back several times, but the robot will find the rice cake bag again and pick it up again.

In another example, the same PaLM-E model is shown to control the robot autonomously through tasks with complex sequences. Previously, such tasks often required manual guidance. Google’s research paper explains how PaLM-E transforms instructions into actions:

We demonstrated the performance of PaLM-E in challenging and diverse mobile control tasks. In the setting, we mainly follow the setting of Ahn and others. (2022), that is, robots need to plan a series of navigation and manipulation actions according to human instructions. For example, give the instruction "I spilled my drink, can you bring me something to clean up?" After that, the robot needs to plan an action sequence including "1. Find the sponge, 2. Pick it up, 3. Give it to the user, 4. Put it down". Inspired by these tasks, we developed three use cases to test PaLM-E’s embodied reasoning ability: fitness prediction, fault detection and long-horizon planning. Low-level policies come from RT-1 (Brohan et al., 2022), which is a transformer model. It can use RGB images and natural language commands, and then output end-effector control commands.

PaLM-E belongs to the "next-token predictor", so it is called "PaLM-E" because it is based on Google’s so-called "PaLM" large language model (similar to the technology behind ChatGPT). By adding sensory information and robot control, Google "visualized" PaLM.

Because it is based on the language model, PaLM-E can continuously observe, for example, images or sensor data, and encode them into a series of vectors with the same scale as language tags. In this way, the model can "understand" sensory information in the same way as language.

Google also provided a demonstration video, which showed that a robot "gave me a green star" under the guidance of Palm-E. The researchers said that this green star "is an object that this robot has not directly touched before."

In addition to the RT-1 robot transformer, PaLM -E also draws lessons from Google’s previous work on ViT-22B. ViT-22B is a visual transformer model released in February this year. ViT-22B has been trained in various visual tasks, such as image classification, object detection, semantic segmentation and adding subtitles to images.

Google Robotics is not the only research group dedicated to robot control using neural networks. This research reminds people of the paper recently published by Microsoft (ChatGPT for Robotics), which also discusses the control of robots by combining visual data with large language models in a similar way.

Robots aside, Google researchers have observed some interesting effects, which are obviously because PaLM-E uses a large language model as its core. First of all, it has the performance of "positive migration", which means that it can transfer the knowledge and skills learned from one task to another. Compared with the robot model with single task, the performance of the former is significantly higher than that of the latter.

In addition, they also observed a trend of model scale: "The larger the language model is, the more it can maintain its language ability when training with visual language and robot tasks-in terms of quantity, the PaLM-E model with 5620 parameters almost maintains all its language ability. “

PaLM-E is the largest VLM reported so far. Although we have only received the training of single image prompt, we have observed the emergence of emerging abilities such as multimodal thinking chain reasoning and multi-image reasoning. Although this is not the focus of our work, PaLM-E has set a new SOTA (Best Performance) on the OK-VQA benchmark.

——Danny Driess

Researchers claim that PaLM-E has demonstrated its emergent abilities, such as multi-mode thinking chain reasoning (which allows models to analyze a series of inputs including language and visual information) and multi-image reasoning (which uses multiple images as inputs to make reasoning or prediction), even though it has only been trained with single image cues. In this sense, as the deep learning model becomes more and more complex, PaLM-E seems to continue to surprise people.

Google researchers also plan to explore more applications of PaLM-E in real-world scenes, such as home automation or industrial robots. They hope that PaLM-E can stimulate more research on multimodal reasoning and embodied AI.

The word "multimodal" is very hot now, and we will hear more and more in the future, because major companies want to make general artificial intelligence that looks like human beings to perform general tasks.

Translator: boxi.