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Feldstein says that the $700 billion plan to buy impaired assets will not prevent an overshooting downward in house prices, as more people have negative equity in their homes, rising to 40% of all mortgages at some point; and leading to a cycle of foreclosure and further price declines. This will only decrease the value of the mortgage securities that Treasury seeks to take off the hands of banks. And without direct government help in form of lowcost loans, say 2%, the cost of capital for the government, for 20% of the loan upto $80,000; more and more homeowners will have negative equity in their homes. This will lead to more foreclosures as housing loans are not full recourse, so that only the house is lost and the homeowner can move to an apartment and carry on from there. Thw size of this program would be $1 trillion but it gives the government income from the loans made and these would be full recourse loans so the taxpayer is protected. In Feldstein's view the current plan does not address declining house prices which is the root of the problem. ...

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Geoffrey Hinton, a pioneer in the development of AI, resigns from Google and warns about the dangers of AI. He says AI poses profound risks to humanity and society. He says it is hard to see how bad actors would not misuse AI for bad things.

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This report in The Guardian shows that ChatGPT is nothing new. The first version of this kind of generative AI was developed in 1966 at MIT by a computer scientist Weizenbaum, who called it Eliza. The buzz around it like that around ChatGPT was that it was thinking and acting on its own, the way humans like to think it did, but in fact Weizenbaum showed that it was simply code written to take what was given to the computer as input and spitting it out in a different way that made it look that it was acting on its own, when it clearly was nothing but parroting it out like a parrot. The issue of turning our world over to robots based on AI is controversial and even dangerous. A Japanese futuristic movie shows how the man who has written the code for the master computer that runs everything in Japan is disillusioned about it and finds himself in a nightmare world where the machine tries to isolate and eliminate the man who created it. Machines cannot think or have emotions like humans do and it is these emotions, rethinking, that the world depends on for its survival. Can anyone say that a machine would have made the decision that Chinese president Jinping just made in January of making a complete u turn and moving away completely from lockdowns into a complete opening with a plan that appears to have worked and is reviving China's economy following the street protests by informal groups including young women? ...

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Without human consciousness Ai's simply lack the vital elements of what makes us human. So called intelligent behaviours don't amount to much in this the most important aspect of our behaviours that makes us human in the way we have evolved over long periods of time. A recent Japanese movie showed how even the creators of AI that runs things in a futuristic Japan find themselves trapped in an AI run society, and how AI fails Japanese society.

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Rina Bliss, a professor of sociology at Rutgers, says while AI can bring information to kids it cannot make them think. To truly learn children will have to do it themselves and in interaction with teachers, parents and other children. She took the approach of a scientist and let her two children try out AI tools and software and came to this conclusion. One reason she says is that AI is based on computational intelligence and the human mind and brain are not quantifiable. The brain is flowing like a river and always learning from its environments.  There is a social environmental piece says Marin, there is interaction, there is a drive to know and connect, curiosity and passion that are part of learning.  Basically AI is developed through taking vast amounts of information collecting it and ordering it in a certain way. How each originator of the AI orders it affects how it will work. And what is in the basket of information collected will affect how it will work. There is no thinking brain outside of the human originator who put a particular version together. Like every piece of software there are implicit or explicit instructions on how to use the basket of information collected that is put in by an originator who developed the AI software. For these reasons it will only do basic tasks and is not intended for complex tasks that involve thinking processes and social-emotional aspects of human behaviour. The risks of using it begin to grow as soon as it is used for tasks it was never intended to perform such as replacing the human thinking  processes and the socio-emotional aspects of these processes.  If it is used to do things it was never intended for, the larger the activities it performs, the larger the mistakes and risks it it is liable to make or create. If it is assigned the task of transportation for a country, it will at some point be asked to think and at that point it will fail to make the right decisions, making the risks grow exponentially, very, very fast, leading to disaster. ...

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Classic story of a chain that fit the times and was on a tear as hundreds of Applebees opened all across the American landscape and it became a sign that a small town had arrived to have one. And then as quickly as it had grown it began its downhill slide as it lost touch with the times. Eating healthy had become popular, organic or fresh healthy ingredients were now poular, so also tastes had become more varied as the ethnic landscape of America changed and as more people travelled in the states and abroad, and people tried new flavors, so also new restaurants that opened were doing all these things, and cooking shows on TV popularized the new things to more of the Applebee's customer segment which had modest incomes around $50,000. How do you create a menu that is healthy and fits this kind of budget even as you compete with more and more choices for the average American. The you have the decor it s now outdated the kind of decor Applebee started with.

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President Trump's failure to followup on his decision to shut down all flights to China on January 29 with speedy action on preparing for the coronavirus as suggested by some of his advisors is the subject of this article in the NYT.  There were two distractions one was the trade deal with China that was being negotiated, and then the impeachment trial in the U.S. Congress that was set in motion by Democrats. Another problem was the lack of good information about the extent of the virus spread in China and infected case numbers. As it turns out no one really knows the real scale of infections in China. If is was known that there were as many cases in China as there are in the U.S. today this would have resulted in shaking up any complacency in the Trump administration and in the states. Considering the experience of Europe and the U.S. it could be that China had the same number of infected cases as the U.S. does today for a population three times the size. China had a strict quarantine but it also did not realize what it was up against in the first weeks of the crisis in January. It appears now that China, Europe and the U.S. all lost some time from 2-4 weeks before realizing the severe consequences facing each region. This report says one of the vital pieces of information that was learned about infected people in China, was learned as late as the end of February by leaders of a government team looking at the coronavirus threat. It was that seemingly normal healthy people without symptoms but infected by the virus could spread the virus. This meant that this was very, very contagious. The lack of good information played a significant part, adding to the level of complacency in states such as New York and in the Trump administration. Politics such as the impeachment trial and political infighting added an unnecessary distraction. ...

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Xi Jinping's effort to shift the economy of China more towards serving the interests of Chinese who were left behind in the boom years includes a shift away from coal, away from real estate for speculation, and away from reliance on trade with the US and Europe as a driver for growth. This is proving to be difficult as the pandemic has increased demand for Chinese exports making trade a bigger driver for growth than before the pandemic. Introduction of a property tax to cut into real estate speculation has been scaled down to trials in 10 cities.  China did not put stimulus checks in the accounts of its people the way the US did which has led to Chinese domestic consumption not rebounding the way it has done in the US. Figures for consumer spending in China for September show an increase of 4.4% from the year earlier far below the pace of 8% set for 2019. The lack of social security and other safety nets in China makes people to save even more today. Chinese savings rate was 40% in 2019, today it is 45.2% for May 2021, according to one survey. Personal consumption makes up 38% of China's GDP in 2020, it was 39% in 2019. In the US it went up in 2021 June to 69% compared to 67% by the end of 2020. Infrastructure and construction deepened debt problems in China, and expanding exports created trade tensions. Both these problems have deepened with the pandemic. As this report says Chinese exports have gone gangbusters. Problems in production in Vietnam and Malaysia have added to export surge from China. China's trade surplus with the world is now at $535 billion in 2020, and surplus with US increased by 7% to $317 billion in 2020 from 2019.  Chinese government policy is now for "common prosperity" to reduce inequality and spread wealth and income more evenly for all the Chinese people. This is taking time and Chinese government policy is now set for the long run with these short run problems. ...

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The peaceful transition in Zambia as Michael Sata wins the election. Sata's party won the election with 43% of the votes compared to Hastings Banda's party's 36%. The outgoing president Hastings Banda's party had been in power for two decades. This is a remarkable peaceful transition of power after disputed elections in the Ivory Coast, Zimbabwe and Nigeria. Sata's support came from the urban young, jobless people and the labor unions. He was critical of mining investments by western companies and China for paying low wages, and campaigned for higher tax revenues from the mining industry. This is a remarkable transition and a good example for future elections in Africa. Recent elections in the Ivory Coast led to a transition that had to be enforced with French support.

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The judicial system shows its independence from political parties in Ghana as it affirms the election of president John Mahama by 325,863 votes out of 11 million votes cast. Both political parties accept the court's verdict after 6 months of daily televised hearings. This is seen as a victory for the maturing process of democracy in Ghana.