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The development of Transhumanism / Extropianism in the final two decades of the 20th century also set in motion the creation of digital cash, including the breakthrough killer app: Bitcoin.

The Austrian economist Friedrich Hayek wanted to denationalize money. David Chaum, an innovator in the field of cryptography and electronic cash, wanted to shield it from surveillance. Their goals were not the same, but they each inspired the same man.

Max O’Connor grew up in the British city of Bristol in the 1960s and ’70s. Telling his life story to Wired in 1994, he explained how he had always dreamed of a future where humanity expanded its potential in science-fictional ways, a world where people would possess X-ray vision, carry disintegrator guns, or walk straight through walls.

Continue reading “How 1990s libertarians laid the groundwork for cryptocurrency” »

The advent of AI has ushered in transformative advancements across countless industries. Yet for all its benefits, this technology also has a downside. One of the major challenges AI brings is the amount of energy required to power the GPUs that train large-scale AI models. Computing hardware needs significant maintenance and upkeep, as well as uninterruptible power supplies and cooling fans.

One study found that training some popular AI models can produce about 626,000 pounds of carbon dioxide, the rough equivalent of 300 cross-country flights in the U.S. A single data center can require enough electricity to power 50,000 homes. If this energy comes from fossil fuels, that can mean a huge carbon footprint. Already the carbon footprint of the cloud as a whole has surpassed that of the airline industry.

As the founder of an AI-driven company in the blockchain and cryptocurrency industry, I am acutely aware of the environmental impact of our business. Here are a few ways we are trying to reduce that effect.

Bitcoin has crushed its highest price ever, blasting past $72,000 for the first time in its history today.

The news comes after UK regulators announced they wouldn’t stand in the way of the creation of crypto-backed, exchange-traded notes (cETNs), CNBC reports. ETNs are a type of unsecured debt securities that trade on major exchanges, kind of like a stock.

The value of the mainstream cryptocurrency has risen considerably since the beginning of the year, spurred on by its growing acceptance by regulators around the globe and the fading shadow of the FTX collapse.

and this means humans will use brain computer interface to transact, but where will the AGI’s economy take shape, and how will you take part?

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Continue reading “Artificial intelligence will use cryptocurrency to transform human society” »

Bitcoin’s rally is turning out to be bad news for Coinbase, the crypto trading app that has just confirmed some of its customers are seeing a zero balance across their Coinbase accounts. “Your assets are safe,” the firm assured the app’s users via a Status page on its website, adding that its team is investigating the issue and will provide an update shortly. [Update: The company has since said the issues are improving but the app is seeing “heightened traffic.”]

The app’s crash today has to do with the recent demand for Bitcoin, the popular cryptocurrency that recently surged to $60,000 — close to its all-time high last seen in 2021. The price of Bitcoin climbed in the wake of U.S. bitcoin spot ETFs, driving a 42% price rally this month. According to Reuters, this was the largest monthly gain the digital asset had seen since December 2020. As of the time of writing, Bitcoin was up above $61,448, or a 7.66% increase today.

The sharp rise has fueled renewed interest in apps like Coinbase, which allows users to buy, sell, and hold crypto products in a digital wallet. This rapid increase in demand, including from more casual crypto investors, have seemingly contributed to the app’s current issues, as Coinbase says the app is experiencing issues from high traffic.

1 year ago.

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Cryptocurrency is usually “mined” through the blockchain by asking a computer to perform a complicated mathematical problem in exchange for tokens of cryptocurrency. But in research appearing in the journal Chem a team of chemists has repurposed this process, asking computers to instead generate the largest network ever created of chemical reactions which may have given rise to prebiotic molecules on early Earth.

This work indicates that at least some primitive forms of metabolism might have emerged without the involvement of enzymes, and it shows the potential to use blockchain to solve problems outside the financial sector that would otherwise require the use of expensive, hard to access supercomputers.

“At this point we can say we exhaustively looked for every possible combination of chemical reactivity that scientists believe to had been operative on primitive Earth,” says senior author Bartosz A. Grzybowski of the Korea Institute for Basic Science and the Polish Academy of Sciences.

A new attack targets Docker servers and uses a combo of cryptocurrency mining and website traffic generation for profit. It could leave a backdoor for attackers to exploit later. Patch your systems and monitor for suspicious activity:

Artificial intelligence has progressed from sci-fi fantasy to mainstream reality. AI now powers online tools from search engines to voice assistants and it is used in everything from medical imaging analysis to autonomous vehicles. But the advance of AI will soon collide with another pressing issue: energy consumption.

Much like cryptocurrencies today, AI risks becoming a target for criticism and regulation based on its high electricity appetite. Partisans are forming into camps, with AI optimists extolling continued progress through more compute power, while pessimists are beginning to portray AI power usage as wasteful and even dangerous. Attacks echo those leveled at crypto mining in recent years. Undoubtedly, there will be further efforts to choke off AI innovation by cutting its energy supply.

The pessimists raise some valid points. Developing ever-more capable AI does require vast computing resources. For example, the amount of compute used to train OpenAI’s ChatGPT-3 reportedly equaled 800 petaflops of processing power—on par with the 20 most powerful supercomputers in the world combined. Similarly, ChatGPT receives somewhere on the order of hundreds of millions of queries each day. Estimates suggest that the electricity required to respond to all these queries might be around 1 GWh daily, enough to power the daily energy consumption of about 33,000 U.S. households. Demand is expected to further increase in the future.