Category Archives: Cointelegraph

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Over 50% of Bitcoin Full Nodes Still Have Inflation Bug

Over 50% of Bitcoin Full Nodes Still Have Inflation Bug

Bitcoin core developer Luke Dashjr has revealed to CoinTelegraph that more than half of the full nodes securing the Bitcoin network have yet to upgrade to a version of client software that fixed the inflation bug detected in September 2018.

This means that the network is still under a certain level of threat to Bitcoin’s fidelity. The developer and others suggest that the opportunity to fully upgrade clients be taken now and the inflation bug eradicated, while positive momentum for Bitcoin price and interest is still observed.

The actual report on 8 May 2019 showed data that meant over 60% of Bitcoin full nodes were still running old versions of the software. The good news is that, since the publication of that report, about 10% of those old clients had upgraded to the latest version since, with the figure now standing at only 54% of Bitcoin full nodes yet to upgrade.

Theoretically, miners are able to manipulate the bug to inflate Bitcoin total supply above the maximym allowed of 21 million BTC, by using a single transaction to spend multiple unspent transaction outputs (UTXOs).

A fix was released in a new version in September 2018, patching and disclosing a Denial of Service vulnerability. It admitted that:

“On September 20th a post in a public forum reported the full impact and although it was quickly retracted the claim was further circulated.”

Dashjr believes that Bitcoin nodes actually number 100,000, despite most other sources only stating a more conservative sum of 10,000. This, according to the core developer, is because many sources only account for those nodes actively listening on the network. These nodes can be probed by open port connections. Those full nodes that are not listening, however, are not easily discovered as they are hidden behind firewalls or deliberately not configured to listen for new connections.

Dashjr proposes a simple fix to eliminate this risk: “Everyone upgrading to a fixed full node.”

 

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Why Experts Are Calling Russia’s Crypto Bill ‘Disappointing’

Several native experts have recently expressed their disappointment with the development of Russia‘s cryptocurrency regulations, citing areas as ”ineffective” and ”far behind” those of other countries.

Discussing the main bill in question, “On Digital Technologies,” Artem Tolkachev, chairman of the Russian Blockchain community since 2016, said that he was ”disappointed” with the current version, pointing to areas that he perceives would create potential inefficiencies.

His main critique points centered about the crowdfunding section prepared by Russia’s central bank, and also the amendments to the Russian Civil Code. His concerns were that both bills were constructed independently and that would consequently make them rather ineffective.

The government has been attempting to regulate the area of cryptocurrency since January 2018, only to be met by different obstacles. The bills which were expected to be passed at the beginning of July have been delayed until October.

Tolkachev thinks that the issues related to passing the bills arise from the ”complexity of the subject” and a lack of intergovernmental consensus over how, and what exactly should be state regulated. Reports have emerged that the Russian Central Bank has become opposed to the Ministry of Economic Development on the subject, with the latter pushing for a more progressive agenda.

Tolkachev was involved with discussions between the central bank, the Ministry of Finance, the Ministry of Economic Development and the general security service regarding how the area could be regulated, trying seemingly unsuccessfully to sell the idea of a crypto-friendly nation. ”Unfortunately, we have what we have. What can I say? That’s it,” he told Cointelegraph.

The president of the Russian Association of Cryptocurrency and Blockchain, Yuri Igorevich Pripachkin, said that despite being consulted during the government’s process, what the legislation looks to be, is in many areas, adverse for the industry.

Pripachkin says that in its current form, the bills put Russia far behind countries such as Belarus and Switzerland who have made great regulatory steps while still promoting the industry.

 

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AI Platform to Identify Health Issues Without Human Error

The Skychain platform, self-described as a blockchain infrastructure aimed to host, train and use artificial intelligence (AI) in healthcare, has announced its to launch its diagnostic system within weeks.

The company believes that the new alpha version of its infrastructure can identify conditions in patients and prescribe appropriate treatments in milliseconds, substantially reducing the risk of human error during the crucial diagnosis stage, Cointelegraph reports.

The beta version, Skychain estimates, will be released in December with an official launch by summer of 2019, although the company claim that early participants, including hospitals, medical AI developers, and healthcare data providers will have access to a “fully built” ecosystem by June.

Skychain’s aim is to eliminate human medical errors, claiming that this is now the third most common cause of death in the US. The company suggests that are numerous cases of misdiagnosis due to X-ray analysis, citing a study which has recorded that human error causes 250,00 premature deaths each year. According to the company, when doctors analyze X-ray lung images, they fail to diagnose early lung cancer in as much as 69% of cases.

Cointelegraph reveals Skychain assertions that the technology is more effective at diagnosing skin, lung and cardiovascular diseases than some highly experienced doctors. The company claims that its system identifies conditions in an average of 0.1 seconds, compared to the 20-30 seconds that doctors need to make their conclusion.

Skychain spoke of the effect of fatigue on medical practitioners; one of the problems the AI system is designed to combat:

“In real life, medical professionals may get tired or be in low spirits; they may also lack the necessary experience, specialize in a different area, or be biased… Each of these factors can have a negative impact on the accuracy of a diagnosis. Moreover, a machine learning system can easily analyze a poorly structured medical history or wade through large amounts of data.”

Figures published by Healthcare Financial Management Association estimate that in 2016 alone, misdiagnosis cost the US economy a massive USD 20.8 billion. Skychain’s mission is to save 10 million patients from premature death due to medical errors within 10 years.

 

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