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Brit who lost 7500 bitcoins will attract robotic dogs Boston Brit who lost 7500 bitcoins will attract robotic dogs Boston

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Brit who lost 7,500 bitcoins will attract robotic dogs Boston Dynamics to search

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British engineer James Howells, who in 2013 accidentally threw away a hard drive with 7,500 bitcoins (we wrote about it in an article about crypto wallets), plans to use two robot dogs from Boston Dynamics to search for a drive in a landfill. One robot is now worth almost $75,000.

Brit who lost 7,500 bitcoins will attract robotic dogs Boston Dynamics to search

According to James, robops are planned to be used to scan the ground and provide security. They will also be equipped with CCTV cameras to protect the landfill area at night.

At the current exchange rate, the value of the lost bitcoins of the British is more than 160 million US dollars.

Brit who lost 7,500 bitcoins will attract robotic dogs Boston Dynamics to search

The owner of the disk told Business Insider that he developed the search plan with the help of expert consultants and received funding from two venture capital investors. However, the City of Newport has yet to approve a search operation at the landfill.

An administration official said Howells did not provide sufficient arguments to convince the city.

“His proposals pose a significant environmental risk that we cannot accept,” a City Hall spokesman said.

Moreover, in January 2021, the Briton offered the authorities of Newport about $72 million to excavate the landfill on their own, but was refused.

Be that as it may, James Howells is a true illustration of the “never give up” rule.

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The CIA is concerned about China’s ability to gain access to the most powerful supercomputer for AI training, based on chips the size of an iPad.

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The CIA is concerned about Chinas ability to gain access

Due to more and more US sanctions, China cannot receive the latest AI accelerators and much more, which is also related to artificial intelligence. However, now the US government has concerns that China will still gain access to such technologies, and not just like that, right away to the most productive supercomputer for AI training.

The CIA is concerned about China's ability to gain access to the most powerful supercomputer for AI training, based on chips the size of an iPad.

Photo: Cerebras

We are talking about the Condor Galaxy system, which in itself is unique and extremely unusual, but we have already written about this. This system is being built by G42 from the UAE. The company is reportedly controlled by Sheikh Tahnoun bin Zayed and has ties to Chinese firms that the US considers a security threat. Including with Huawei. According to the New York Times, the CIA fears that G42’s cooperation with Chinese companies could lead to G42 becoming a conduit for the transfer of classified American technology and genetic data. In addition, China will have access to an incredibly powerful supercomputer.

The bottom line is that Condor Galaxy will consist of several identical installations (CG1, CG-2, and so on), located in different countries. There will be nine of them in total, and only a few will be located in the United States. The CIA expresses concern about four, but does not specify where the four systems will be located.

Let us remind you that Condor Galaxy is a unique solution. Each of the CG clusters consists of 64 modules, with each module actually containing only one chip. We are talking about the Cerebras Wafer Scale Engine 2 (WSE-2) chip, which is the size of an iPad and contains 850,000 cores. As a result, only one CG system has a performance of 4 ExaFLOPS (FP16), and the total performance of the entire supercomputer will be an incredible 36 ExaFLOPS. This is very, very much, however, just today Nvidia and Amazon announced the construction of a Ceiba supercomputer with a performance of 65 ExaFLOPS in the same mode.

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The culprits behind the rise in price of the GeForce RTX 4090 outside of China have been found. Various sellers are stockpiling cards to sell to China

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The culprits behind the rise in price of the GeForce

As you know, from the moment it became known that supplies of GeForce RTX 4090 video cards to China would be prohibited, adapters have risen sharply in price in China itself, but prices have also increased in the USA and Europe. Now those responsible have been found. At least partly.

The culprits behind the rise in price of the GeForce RTX 4090 outside of China have been found.  Various sellers are stockpiling cards to sell to China

There are reportedly unscrupulous sellers who do not sell their RTX 4090 in their countries, but stockpile them for resale to China. Of course, because of the double or more markups, you can make very good money on this. Of course, such actions lead to a shortage of adapters in a particular market, increased demand and, as a result, higher prices. At least this is what sellers in Vietnam do, but probably not only there.

The culprits behind the rise in price of the GeForce RTX 4090 outside of China have been found.  Various sellers are stockpiling cards to sell to China

Prices in the USA and Europe have recently risen to 2000 dollars/euro for the most affordable options, and are not going to go down yet.

Let us remind you that Chinese craftsmen began to convert the GeForce RTX 4090 into accelerators for AI, and now they have even created the RTX 3080 20GB and Radeon RX 580 16GB.

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Software

Windows artificial intelligence will become much smarter. Copilot system will switch to GPT-4 Turbo

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Windows artificial intelligence will become much smarter Copilot system will

Microsoft’s Copilot assistant, integrated into Windows 11, will soon move to the GPT-4 Turbo language model.

Windows artificial intelligence will become much smarter.  Copilot system will switch to GPT-4 Turbo

General Director of Advertising and Web Services at Microsoft, Mikhail Parakhin, said that the company still needs to correct some shortcomings. However, no time frame for the transition has been announced yet.

As a reminder, GPT-4 Turbo features a large number of improvements relative to GPT-4, including a context window for 128,000 tokens. True, with Copilot it may well be limited.

In addition, this language model is trained on data up to April 2023, which gives it an advantage over older versions.

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