China's crackdown on private enterprise has wiped out more than $1.2 trillion in market value for many powerful Chinese companies and stoked fears about the future of innovation in the world's second largest economy.

But the end goal of Beijing's aggressive bid for control isn't about creating chaos. The government wants to make clear to its corporate champions that tapping capitalist markets is fine — as long as it is on the ruling Chinese Communist Party's terms.

Chinese authorities slap companies with fines, ban apps from stores and demand that some firms completely overhaul their businesses.

The way Beijing sees it, the efforts to rein in private enterprise are meant to protect the economy and the country's citizens from instability. They're also intended to fix longstanding concerns around overwork, data privacy and inequality in education. "Ultimately, Beijing's crackdown on private business is about control," said Alex Capri, a research fellow at the Hinrich Foundation. "The main priority is about preventing behavior amongst private companies that could engender more independent and potentially non-conformist activities, which undermines Beijing's state-centric model."

The crackdown is "unprecedented in terms of its duration, intensity, scope, and the velocity of new policy announcements," analysts from Goldman Sachs wrote in a research report last week that called the strategy a "rebalancing of socialism and capital markets."

"Chinese authorities are prioritizing social welfare and wealth redistribution over capital markets in areas that are deemed social necessities and public goods," they added.

https://edition.cnn.com/2021/08/04/tech/china-crackdown-tech-education-mic-intl-hnk/index.html

The study, conducted by Prof. Eli Schwartz, founder of the Center for Travel Medicine and Tropical Disease at Sheba Medical Center in Tel Hashomer, looked at some 89 eligible volunteers over the age of 18 who had tested positive for coronavirus, and were living in state-run Covid-19 hotels. After being divided into two groups, 50% received ivermectin, and 50% received a placebo. Each patient was given the drug for three days in a row, an hour before eating.

83% of participants were symptomatic at recruitment. 13.5% of patients had comorbidities of cardiovascular disease, diabetes, chronic respiratory disease, hypertension or cancer. The median age of the patients was 35, ranging from 20 to 71-years-old.

Treatment was discontinued on the third day, and patients were monitored every two days thereafter. By day six, 72% of those treated with ivermectin tested negative for the virus, vs. 50% of those who received the placebo.

Meanwhile, just 13% of ivermectin patients were able to infect others after six days compared to 50% of the placebo group - nearly four times as many.

https://www.medrxiv.org/content/10.1101/2021.05.31.21258081v1

It seems like blocking and banning information is required to keep virus spreading level at required numbers.

As we know from other research - modern vaccines are designed such way that they do almost nothing with delta variant concerning its spreading. They only prevent lot of hard cases requiring hospitalization.

The idea of ​​introducing a tax on meat was put forward by Dmitry Peskov, Special Representative of the President of Russia for Digital and Technological Development. In his opinion, this could help contain climate change. “In a few years, we will at first be loudly indignant, and then we will be forced, for example, to adopt a tax on meat” - Peskov admitted.

A member of the Federation Council Alexei Mayorov liked this idea. “We can support this, but as a given in response to the challenges that we currently face in the field of environmental protection. Livestock has a significant impact on the greenhouse effect” - he said. At the same time, the senator added that such fees in the future may affect other products.

Do you like elites plans who just want to hide under "global warming" scam simple fact that they fucked up energy and resources?

Researchers from Israel have developed a neural network capable of generating ‘master’ faces – facial images that are each capable of impersonating multiple IDs. The work suggests that it’s possible to generate such ‘master keys’ for more than 40% of the population using only 9 faces synthesized by the StyleGAN Generative Adversarial Network (GAN), via three leading face recognition systems.

The paper is a collaboration between the Blavatnik School of Computer Science and the school of Electrical Engineering, both at Tel Aviv.

Testing the system, the researchers found that a single generated face could unlock 20% of all identities in the University of Massachusetts’ Labeled Faces in the Wild (LFW) open source database, a common repository used for development and testing of facial ID systems, and the benchmark database for the Israeli system.

StyleGAN is initially used in this approach under a black box optimization method focusing (unsurprisingly) on high dimensional data, since it’s important to find the broadest and most generalized facial features that will satisfy an authentication system.

This process is then repeated iteratively to encompass identities that were not encoded in the initial pass. In varying test conditions, the researchers found that it was possible to obtain authentication for 40-60% with only nine generated images.

The system uses an evolutionary algorithm coupled with a neural predictor that estimates the likelihood of the current ‘candidate’ to generalize better than the p-percentile of candidates generated in previous passes.

https://arxiv.org/pdf/2108.01077.pdf

https://www.unite.ai/master-faces-that-can-bypass-over-40-of-facial-id-authentication-systems/