标签： 西安桑拿论坛

Trading model is a key point that must be considered in product operation and profit. For products in the information age, the transaction between roles is not limited to the cost of money, and attention is also one of the goals that products compete for, so the generalized transaction also includes time cost and emotional cost. In a complex trading model, how to balance the value-interest relationship of all parties is a key factor for the long-term survival and sustainable development of a product.

In this paper, we will take Meituan Takeaway as an example to accomplish two tasks:

1. Disassemble the transaction model of the whole process from ordering, delivery to refund;
2. Taking the user’s modification of delivery address as an example, this paper analyzes the decision-making trade-off.

In the transaction model, the first thing to consider is the multilateral role in product transaction and its interrelated relationship. In the simple model, the identity role can be expressed by points, and the directional relationship can be expressed by lines and arrows. The direction of the general arrow is the flow direction of interests. The more identities of users of a product, the more complex the model is, and it is spread out in a network.

Order circulation refers to a series of processes from user placing an order, merchant receiving an order, rider delivering to order completion. In the whole process, there are four key roles involved, namely, users, merchants, platforms and riders. Among them, the riders of the US group take-out can be divided into four categories: special delivery by the US group, express delivery by the US group, running errands by the US group, and merchant delivery (the first two belong to platform management, running errands belongs to third-party services, and merchant delivery belongs to self-delivery), which are collectively referred to as the rider’s side here without distinction.

In the transaction model of order flow, there are user-platform, platform-merchant, merchant-rider, which can be represented by the following figure:

From the user’s point of view, order cancellation can occur in three time periods: before delivery, during delivery and after delivery. Among them, before the order is sent, the role involved is user-platform, and two situations will happen.

1) The user cancels the order within 1 minute before or after the order is confirmed, and the platform directly cancels the order;

2) If the order submitted by the user is not confirmed within 5 minutes, the platform will automatically cancel the order.

After the order is delivered, the refund process involves the user-merchant, and there are two corresponding refund situations.

1) If the special delivery order of Meituan is not delivered for more than 30 minutes, the user applies for a refund, and the platform automatically agrees to the refund and cancels the order;

2) The user applies for a refund, and the merchant handles the refund.

The trading model is as follows:

In the take-away platform, because of the multilateral relationship between users, merchants, riders and platforms, disputes and contradictions often arise, such as complaints from users about merchants’ dishes and complaints from riders about merchants’ slow delivery. Because such problems involve many parties, it is the key point to determine the responsible party.

In the takeaway scene, users often encounter the problem of changing the destination. Can the platform allow users to modify the destination, and can merchants or riders refuse to modify the destination? The difficulty of this problem lies in the roles involved in the different processes of the order.

The process of order circulation can be divided into several situations: the user has placed an order but the merchant has not received it, the merchant has received the order but has not delivered it, the rider has received the order but has not delivered it, the rider is delivering it and the order has been delivered. This part will reflect the influence of the judgment of the responsible party on the platform from this example.

After the user places an order, the take-away system will register the order first, and then push the order to the merchant. Sometimes, because the store is busy or there is a lack of manpower in front of the system, there is no answer to the order. If the push is unsuccessful, the system will push the order again every 1 minute until the order is automatically cancelled for 3 times.

In this process, no merchants or riders have entered the order, and the responsible parties involved are users and platforms. If the user wants to modify the destination, he can directly cancel the order and re-place the order or wait for the merchant to take the order before changing the destination.

Re-ordering will not have any impact on the system of pushing orders, and users are willing to pay extra time costs for re-ordering and waiting for orders. However, what users care about is whether the vouchers, red envelopes and allowances paid for the order can be returned with the cancellation of the order and then used in the next order.

Here, we need to consider two kinds of benefits provided by the platform and set by the merchant. Should both benefits be returned to the original account with the cancellation of the order? If returned, the user pays a simple time cost problem; If you don’t return it, will it affect the user’s willingness to place an order with the same merchant or use alternative takeaway software to complete the order with the same merchant?

After the user places an order, the delivery address is linked to the expected delivery time, which will be sent to the merchant through the system. After the merchant confirms the order, it will enter the takeaway production. In this state, the responsible party involves the merchants.

From the merchant’s point of view, there will be great resentment against the user’s desire to modify the address, especially if the distance becomes longer after changing the address, the delivery time will be later than expected, and the merchant will worry about the follow-up reminders, complaints and evaluation problems.

In addition, the attitude of the merchants also depends on whether they choose the US group delivery or self-delivery. In the case of delivery by Meituan, its delivery mechanism will consider whether it is on the way, the distance, the delivery time and other issues. Changing the address will affect these factors at the same time, and then the rider assigned to this order will be different, but the merchant is only a receiver.

However, in the case of self-delivery, the merchants are also responsible for the subsequent delivery, and their dissatisfaction is far greater than that of Meituan delivery, because when the original order was received, the merchants would prefer short-distance orders and along-the-way orders, and the modification distance would not only affect the delivery of this order, but also affect the delivery time of other orders.

What is discussed here is only the automatic distribution of delivery orders after accessing the Meituan system. When users can’t contact the riders directly, they will contact the riders through the merchants, and the power and responsibility parties involve users, merchants and riders.

Under the delivery managed by the US Mission, the rider passively accepts the order, and modifying the destination may cause a decrease in the number of orders on the way, but the same probability is that there are not many orders on the way at the original address, so the impact of modifying the address on the special delivery rider is not great.

However, for crowdsourcing riders, orders are grabbed, and the closer the distance is, the more orders there are along the road, the easier it is to grab, while the delivery fee will increase relatively for orders with high long-distance time cost, but the rider’s willingness to deliver is low.

The habit of crowdsourcing riders is to take orders all the way along the road and get the relative maximum benefit at a certain time cost. When modifying the destination, crowdsourcing riders are much more disgusted than special riders, because in the case of changing the distance, the established delivery fee will not change, the time cost will increase, and the orders along the way will decrease, which will greatly reduce the maximum income that could have been obtained.

Compared with the previous situation, the loss of opportunity cost of the order that the rider has already delivered is greater. The rider should not only bear the time loss spent on the journey of this order, but also bear the time loss of other orders that have been taken by the way and the loss of potential order opportunities.

Considering the extreme situation, the user’s modified delivery address and the original address are in opposite directions. In the process of value measurement, will the rider risk being complained to give up this half-way order to ensure the delivery of other orders, or will he reach this order within the delivery time to avoid complaints and click to confirm the delivery in advance? If the delivery fee of the modified order far exceeds the cost of the original order, will the rider give up the original order?

From the perspective of platform guidance, if the punishment mechanism is blindly guided by the service concept and follows the principle of user > rider, will it lead to frequent phenomena that users modify the delivery address, riders abandon orders or click to confirm delivery in advance? Should the complained rider take full responsibility, thus discouraging the rider’s enthusiasm? If the punishment mechanism is humanized, can it make the rider make a choice faster without the fault? Simply applying the principle of user first to deal with all conflicts of interest will not only "spoil" users, but also be detrimental to cultivating riders’ emotional dependence on the platform.

After the order has been delivered, the user finds out that his delivery address is wrong. Who are the responsible parties in this case? This involves the question of who will confirm the completion of the order after it is delivered. There are three options for the takeaway platform, namely, the rider, the user and the platform to confirm the delivery.

First, after the rider confirms the delivery, it is not necessary for the user to confirm whether the address is delivered correctly. The user wants to modify the destination again, and the rider has no obligation to deliver it to the modified address again. In this way, the user’s dissatisfaction is high, the user experience is poor, and even the order will be refunded and the rider will be complained.

On the one hand, whether the order can be delivered again can only be supported by the professional ethics that the rider can’t quantify, on the other hand, it depends on whether the merchant cares about quantitative indicators such as rating and return rate, and the constrained merchant may spontaneously bear the loss of this order and re-dispatch the order.

Second, after the user confirms the delivery, the rider only needs to send the order to the designated address, but the user needs to pay the cost of reconfirmation. Judging from the ordering process of users, users habitually enter the dining process directly after receiving the delivery call, instead of entering the delivery platform again to complete the last step, so the pressure of unconfirmed delivery is transferred to the rider.

The user who has the right to receive goods wants to modify the delivery address, which is entirely in a favorable position, because the rider can’t get the commission if the order is not completed, and the rider doesn’t deliver it again according to the user’s requirements, which not only bears the cost of the previous delivery, but also suffers from the punishment of the platform.

Third, under the platform confirmation, there are several situations. One is that after both the rider and the user confirm the delivery, the platform completes the confirmation after this match; The other is that the rider confirms the delivery. Although the user does not click the confirmation within the specified time, the platform defaults to the user’s choice of delivery. The former is similar to the second case, while the latter is that the platform becomes the responsible party.

The user passively confirms without knowing it, and wants to modify the address and find the merchant or rider. Although both of them have to bear the risk of bad reviews, the degree of fault is far less than that of the platform, so the platform is likely to be used as a bullet. At this time, the platform will bear the money and reputation loss of returning the order.

For orders with different delivery status, if users want to modify the delivery address, Meituan’s strategy is as follows:

(1) For take-out orders without orders, it is supported to place orders again after returning the orders.Red envelopes used during payment within the validity period will be returned within 24 hours.

Problems you will encounter: Re-placing an order immediately after the cancellation of the order may lead to a reduction in the discount if the red envelope has not been returned, so that the loss of users from this business or to other platforms cannot be ruled out.

(2) For take-away orders,There are two ways to deal with the US group’s takeaway suggestions:

• Meituan delivery supports online modification of delivery address.
• Merchants are self-equipped, so it is recommended to contact merchants or riders to communicate.

For the former, most riders take the attitude of delivering the order first, and then they can report the abnormality and complaint to the order.

Problems encountered: If the user complains about the order, the rider will also encounter the situation that the money deducted cannot be recovered if the complaint is not passed.

In the punishment mechanism, if the user complains that the delivery time exceeds the expected delivery time and the goods are not received, or the actual delivery time exceeds the expected delivery time, the self-made merchants need to bear the full refund responsibility, that is to say, for the latter, the merchants can only swallow their own bitterness.

If the experience of riders is not good, they will be lost. However, in the current environment, the supply of riders in first-and second-tier cities is far greater than the demand, so the loss of riders will not increase the cost of distribution, and the old people will make up for it immediately.

What the platform really lacks is users. When choosing which platform to place an order on and which merchant to place an order on, users always have the initiative, including modifying the address, and merchants and riders revolve around users. Therefore, it can be said that the tripartite experience of merchants, riders and users has not yet reached a level of common satisfaction. How to coordinate the relationship among them has always been one of the important tasks for the platform to optimize the takeaway ecology.

Author: 47, WeChat WeChat official account: under the east fence, pay attention to the content-social products, believe in keep practicing, keep learning, keep optimal.

This article was originally published by @47. Everyone is a product manager. It is forbidden to reprint without permission.

The title map comes from Unsplash and is based on CC0 protocol.

　　The online drama "The Long Season" broke down during the May Day holiday, making "suspense", "Northeast China" and "laid-off workers" become hot topics again. Why does the story of the frustrated and failed old man’s revenge for his son impress the current audience? Why are the "old cases" that could not be told and detected 20 years ago repeatedly "cleared up" by film and television dramas after 2010? All history is contemporary history. In the name of suspense drama, people once again feel the social trauma suffered by urban workers in the transitional period of the 1990s.

　　Looking back on the industrial suspense drama in the 1990s.

　　"The Long Season" was filmed in Kunming, Yunnan. The biggest label of this drama is suspense drama, especially the director Xin Shuang once created the masterpiece "Hidden Corner" of domestic suspense online drama. This online drama is set in Hualin Iron and Steel Plant, with the case of dismemberment more than ten years ago as a clue, and presents three parallel time and space stories in 2016, 1998 and 1997. There are two generations, Wang Xiang, Gong Biao and Ma dui, who secretly investigate the case of dismemberment, and Wang Yang and Shen Mo, who fall from the youth of the flower season, and show the vicissitudes of life. The highlight of this drama is not only to uncover the mystery of "suspense" at the end of the drama, but also to reproduce the mental pain of laid-off workers who have undergone market-oriented reform like still life sketch.

　　In 2014, Yinan Diao, the sixth generation director, combined the northern industrial towns with murder and suspense stories, presenting a tense and chilling atmosphere. Then in 2017, the film "Blizzard is Coming", "Detonator" and other works once again started suspense narration with the factory as the background. In 2018, Lou Ye directed A Cloud Made of a Rain in the Wind, and in 2019, Yinan Diao directed The Party at South Station, which represented the 1990s and the beginning of the new century as a "dark" space full of crises and dangers. In this sense, The Long Season continues this narrative type of "industry+suspense+black", turning industrial cities and factory spaces into "scenes" of murder and crime. The typical representative of black and suspense films is Hitchcock’s films in 1950s and 1960s, which are used to show the social emotions of anxiety, nervousness and fear of the urban middle class who don’t know where the danger comes from. These films, which combine the local context with the times and are full of crimes and suspense, show people the humble fate of the little people trapped by the big times, and show how individuals are caught in the black whirlpool of desire in the market-oriented reform in the 1990 s, as well as show people’s floating and fear of the times when they are laid off.

　　If the market-oriented reform from 1990s to around 2010 is regarded as the transition period of the dual-track reform, then the economic rise of China in 2010 has started a re-examination of the 1990s. For example, the black suspense online dramas Crime Without a Certificate (2017), Chasing the Murder in the White Night (2017), Hidden Corner (2020) and Silent Truth (2020) all happened at the turn of the new century. At the beginning of 2023, The Knockout, an online drama, became a rare TV series that crossed classes and became popular in recent years. This story of the second generation of the factory going to the underworld at the turn of 2000 is like another version of The Long Season. All these show that the police criminal investigation drama, once a realistic theme, has gradually changed into a more Hollywood black suspense drama.

　　Different from the cultural identity of forging ahead and embracing globalization in the 1990s, The Long Season has a different narrative about the story of laid-off workers in the 1990s: all kind and honest people have been laid off, while the powerful class represented by the factory director (power) and fake Hong Kong businessmen (capital) are bad guys who embezzle and misappropriate public funds. This rewriting shows the rethinking and examination of the narrative in the 1990s after 2010.

　　From Patricide Culture to Father’s Return

　　In addition to the "blackening" in the 1990s, since 2010, another cultural symbol is the appearance of an image and the return of his father. Different from the patricide culture in the May 4th Movement or 1980s (denying the previous era), China’s films have intensively told the story of his father’s return in the past ten years. For example, the father of workers in Piano of Steel (2011) and August (2016), the red father in Taking Tiger Mountain 3D》(2014), the right father in Return (2014) and One Second (2020). The father’s story is accompanied by the reconstruction of the father-son order, such as The Wandering Earth (2019), Looking Up (2019), Feng Bao (2021), Me and My Father (2021) and other films showing the story of father-son reconciliation and son inheriting his father’s business. These images of returning fathers play a dual social function. One is to rewrite the historical memory and let the exiled father return to history. Second, the Oedipus complex between father and son has changed into "loyalty and filial piety", which reflects the re-establishment of patriarchal order, which is related to China’s modernization and economic rise. However, this picture of reconciliation between father and son is also full of cracks, which shows the dilemma and drift of cultural narrative.

　　The Long Season has formed an intertextual relationship with works such as The Piano of Steel and August. "The Piano of Steel" rewrites the image that laid-off workers, as the "eldest son of the Republic" and "the big brother of the working class", were eliminated in the name of inferior and backward labor. The laid-off workers in the film are all "skilled craftsmen" who are hidden and hidden from the people, and they have transformed themselves into skilled workers with clear division of labor and their own duties in the ruined factory buildings. Similarly, the 2016 literary film "August" is also a tribute to the father who experienced the changes in the 1990s: for the father who is engaged in film editing, on the surface, he believes that he can rely on his ability to eat from now on, but in fact he does not want to "lower his noble head". Because he knew that he would lose a stable life and friendship with his colleagues when he changed from a state-owned worker with the main body of the master to a hired worker, and he was greeted by being displaced, swallowing up and trying to earn money. On the one hand, these films regard laid-off workers, losers and people who leave the system as fathers; On the other hand, they perform their father’s duties in movies, such as building a piano for their daughter in Piano of Steel, going out to work for their son to attend a good middle school in August, and the meaning of father’s life in Long Season is to "settle grievances" for his son.

　　The premature death of the family and the pain of reform

　　However, unlike the father’s return and the reconstruction of father-son order, The Long Season also tells the story of his son’s untimely death. Such plots have been reflected in Wang Xiaoshuai’s chongqing blues (2010) and Forever (2019) — — The former tells the story of the return of the father who went out to work for a long time, investigates why his son died, and finally finds that the son who lacks fatherly love has committed suicide; The latter is that the son accidentally drowned, his parents were laid off, and the family left the factory and moved to a distant place to start a more difficult life. The same is true of The Long Season, in which the return of father and the death of son become the most prominent mental symptoms. The Long Season focuses on the train driver Wang Xiang, and takes the double trauma he suffered in 1998 as the turning point in his life: one is the accidental death of his son and the death of his wife; Second, I have been laid off from the technology of "loving the factory like home" as a taxi driver. For Wang Xiang, two "homes" died in the autumn of 1998, one was his own family and the other was the home of the unit. Therefore, there are two Wang Xiang in the play, namely, a model worker who was full of pride and sense of justice before he was laid off, and a white-haired little old man who later lost his mind. With the help of Wang Xiang in the two eras before and after, the changes of the times of steel mills and industrial cities with factories as the core in the 1990 s were brought out, and the reform from the 1990 s to the beginning of the new century was expressed as an era of trauma and pain.Present the social crisis and transformation dilemma in the market-oriented reform.

　　In a word, these film and television works that returned to the 1990s have re-opened the old scars of laid-off workers, showing the new problems brought about by the reform and opening up, and the other side that was covered and suppressed by the reform discourse — — Especially in the process of radical marketization, individuals encounter trauma and fall into a dangerous and uneasy state of mind. These have aroused the resonance of the current audience. At the end of The Long Season, two Wang Xiang met again in the golden cornfield. The old Wang Xiang waved to the train driver Wang Xiang and told himself in the 1990s to "look forward and don’t look back". This train in the "industrial pastoral" scenery is like another parallel space at the fork of history, heading for a future without darkness and blackening.

CCTV News:According to the website of the Central Meteorological Observatory, the Central Meteorological Observatory continued to issue the gale cooling forecast at 18: 00 on October 9.

1. Strong winds and cooling in the north, moderate rain or heavy rain in Liaoning, Yunnan and other places.

Affected by cold air, at 14 o’clock today, compared with yesterday’s 14 o’clock, some areas in southeastern Inner Mongolia, Shanxi, western Hebei, northeastern Shandong, Liaoning, central Jilin, southern Heilongjiang, central Sichuan, eastern Yunnan and other places experienced a temperature drop of 6 ~ 10 C, and the local drop in central Liaoning, southern Sichuan, northern Yunnan and other places reached 12 ~ 16 C. There were 7 ~ 8 gusts and gusts in these areas, western Beijing and western Henan.

During the day, moderate rain or heavy rain occurred in parts of central Jilin, central and eastern Liaoning, southeastern Sichuan, southwestern Chongqing, central and eastern Yunnan, and southwestern Guangxi, with heavy rains in Pu ‘er, Yunnan and Chongzuo, Guangxi.

Second, the key weather forecast

1. There is strong wind cooling in the northern region.

Affected by cold air, the temperature in eastern Liaoning, southeastern Jilin, southwestern Shaanxi, eastern North China, Huanghuai, Jianghuai, Jianghan, northern Jiangnan and central South China will drop by 4~8℃ from 20: 00 on October 9 to 20: 00 on October 10. There will be 5~6 northerly winds in the above areas, 7~8 gusts in some areas, and 9~10 gusts in Liaoning, Jilin and Shandong Peninsula. The Central Meteorological Observatory continued to issue the gale cooling forecast at 18: 00 on October 9.

Figure 1 National gale cooling forecast map (from 20: 00 on October 9 to 20: 00 on October 10)

There is obvious rain and snow in Inner Mongolia, Liaoning, Jilin and Heilongjiang.

In the next three days, there will be obvious rain and snow weather in eastern and northeastern Inner Mongolia, including small to medium snow or sleet in southeastern Inner Mongolia, eastern Jilin and western Liaoning, and heavy snow in southeastern Inner Mongolia. There are moderate to heavy rains and local heavy rains in parts of southeastern Inner Mongolia, Liaoning, Jilin, southern and eastern Heilongjiang.

Third, the specific forecast for the next three days

From 20: 00 on October 9 to 20: 00 on October 10, there were small to medium snow or sleet in southeastern Inner Mongolia, western and northern Liaoning, and southeastern Jilin, with some heavy snow or blizzard. There are moderate to heavy rains in parts of southeastern Inner Mongolia, eastern Heilongjiang, most of Jilin, northwestern Liaoning, southwestern and eastern Tibet, and western Yunnan. Among them, there are heavy rains (50-80 mm) in eastern Jilin and other places. There are 4 ~ 6 winds and gusts 7 ~ 8 in parts of central and eastern Inner Mongolia, southwestern Heilongjiang, western Jilin, Liaoning, northern Hebei, Tianjin, Shandong Peninsula, eastern Jiangsu and central and northern Zhejiang (see Figure 2). There will be strong winds of 8-9 grades and gusts of 10-11 grades in Bohai Sea, Bohai Strait, most of the Yellow Sea, western East China Sea, Taiwan Province Strait, east of Taiwan Province, bashi channel, northern South China Sea and Beibu Gulf.

Figure 2 National Precipitation Forecast Chart (from 20: 00 on October 9 to 20: 00 on October 10)

From 20: 00 on October 10 to 20: 00 on October 11, there were small to moderate rains in parts of the eastern part of Northeast China, Xinjiang along the Tianshan Mountains and the southern Xinjiang Basin, Tibet, the central part of Northwest China, western and southern Sichuan, and western Yunnan. Among them, there were heavy rains (25-45 mm) in parts of northeastern Heilongjiang and southeastern Tibet. There are 5 ~ 6 winds in parts of eastern Jilin, Liaodong Peninsula and Shandong Peninsula (see Figure 3). The Bohai Sea, the Bohai Strait, most of the Yellow Sea, most of the East China Sea, the Taiwan Province Strait, the east of Taiwan Province, bashi channel, the northern and central South China Sea, and the Beibu Gulf will have strong winds with gusts of 7-9 and 10-11.

Figure 3 National Precipitation Forecast Chart (20: 00 on October 10-20: 00 on October 11)

From 20: 00 on October 11 to 20: 00 on October 12, there were small to moderate rains in parts of southern Xinjiang basin, most of Tibet, most of northwest China, most of Sichuan, western Yunnan and Taiwan Province Island, among which there was heavy rain (25-45 mm) in parts of southeastern Tibet. There are 5 ~ 6 winds in the coastal areas of Zhejiang (see Figure 4). Most of the East China Sea, Taiwan Province Strait, east of Taiwan Province, bashi channel, northern and central South China Sea will have strong winds of 7-9 and gusts of 10-11.

Figure 4 National Precipitation Forecast Chart (20: 00 on October 11th-20: 00 on October 12th)

Fourth, the impact and concern

1. Pay attention to the adverse effects of strong winds in the central and eastern regions, rain and snow weather in Inner Mongolia and Northeast China on transportation, agricultural production and epidemic prevention and control;

2. Pay attention to the adverse effects of windy weather in Bohai Sea, Yellow Sea, East China Sea and Taiwan Province Strait on maritime navigation and operation platforms;

3. Pay attention to the development trend and influence of meteorological drought in Jiangnan and northern South China;

4. Autumn harvest and autumn meteorological service.

　　BEIJING, Dec. 6 (Xinhua) According to a source quoted by Reuters on the 5th, Neuralink, Musk’s "brain-computer interface" company, is facing a federal investigation in the United States. The reason may be that it violated the provisions of the animal welfare law during animal experiments.

　　According to reports, two people familiar with the matter revealed that at the request of the federal prosecutor, the inspector general of the US Department of Agriculture launched this investigation in recent months, focusing on whether the company violated the relevant provisions of the animal welfare law during the animal experiment.

　　According to dozens of Neuralink company documents and more than 20 current and former employees, CEO Musk asked to speed up the development process, which led the employees to repeat failed experiments, which increased the number of animals tested and killed.

　　As of now, Musk and other Neuralink executives have not responded to this.

　　According to records reviewed by Reuters and sources who have direct knowledge of the company’s animal experiment business, since 2018, Neuralink has killed about 1,500 animals, including more than 280 sheep, pigs and monkeys. Sources said the figure was only a rough estimate because the company did not accurately record the number of animals tested and killed.

　　Of course, the number of animal deaths does not necessarily indicate that Neuralink violated relevant laws and regulations. However, employees of Neuralink said that due to Musk’s request to speed up the research, the number of animal deaths was higher than needed.

　　Among them, four experiments involving 86 pigs and 2 monkeys can be confirmed that there are obvious human errors. Three anonymous staff members said that these mistakes weakened the research value of the experiment and led to a large number of repeated experiments, which killed more animals. People familiar with the matter blamed the mistake on the lack of preparation of testers working in high-pressure environment.

　　It is reported that Musk has been working hard to promote Neuralink’s chip access to the brain technology, which is expected to enable paralyzed patients to resume walking or treat other nervous system diseases. But recently, Musk has become more and more impatient. He has told employees many times, "Imagine a bomb tied to your head" so that you can act faster.

　　Musk hopes to start human clinical trials as soon as possible, but the company has not obtained a regulatory license after many attempts.