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The end of September 2021 saw the United Kingdom fall into the midst of a fuel crisis. Although the country has a healthy level of petrol reserves, the problem stems from a large-scale shortage of HGV drivers to transport fuel to petrol stations nationally. As some stations announced they would be closing due to the shortage, widespread panic buying caused as much as in UK cities to run out of petrol. As a result of the crisis, it appears that the nationwide petrol shortage may accelerate the adoption of electric vehicles. 90% of fuel pumps As the UK struggled to keep up with demand for petrol, interest in electric vehicles spiked, with Auto Trader Group Plc claiming that it had begun receiving direct inquiries for electric cars on average as the crisis escalated - roughly twice as frequently as the month prior. every 1.8 minutes As Google Trends data shows, searches accelerated rapidly in late September for electric vehicles, but is this trend going to be a sustainable one? And what could it mean for the growth of EV stocks? Let’s take a deeper look at the opportunities that are potentially rising through the UK petrol shortage: Accelerating Adoption The UK petrol shortage has prompted a massive spike in online searches for electric vehicles, with one analysis commissioned by Carguide finding that interest in EVs climbed some 1,600% on September 24th - when the shortage grew to a national scale. “The fuel supply crisis and the scenes of panic at the pumps could prove to be the most influential switching event ever, with more people than ever considering switching to electric,” , director of trade at Carwow. said Sepi Arani “The levels of demand for EVs through carwow this weekend have been completely unprecedented and are genuine proof that more people want to make the switch.” Significantly, the crisis has provided the backdrop to Motor Fuel Group’s flagship electric vehicle charging station in London, which opened on the 28th of September. Motor Fuel Group CEO, William Bannister was keen to highlight growing EV adoption trends - particularly in the UK capital - as the new charging station opened: “London motorists are leading the way when it comes to EV adoption, but the majority of London’s EV drivers cannot charge at home,” . “The public charging network needs to keep up with the rapid change in consumer behaviours, and the MFG EV Power network will do just that. Within the M25, our 2021 EV roll-out programme alone will nearly quadruple the number of open-network 150kW EV Chargers that were installed at the start of the year.” Bannister said The growth in the number of EV charging points coupled with the temporary decline in the availability of petrol in the UK may indicate a sliding doors moment in the adoption of that could see EV-focused stocks benefit from the crisis. electric vehicles EV Barriers Still Exist Despite significant growth in interest regarding EV vehicles, , commercial director at Auto Trader told Business Leader that the UK isn’t ready to take a major step towards abandoning petrol cars for their electric counterparts. Ian Plummer “Electric cars are prohibitively expensive for the majority of people, and despite the significant increase in range performance among new models, capable of reaching around 250 miles on a single charge, concerns of an inadequate charging infrastructure remain,” Plummer noted. “To make them a genuinely viable option for mainstream buyers, we need more commitment to provide greater incentives to deal with the upfront cost, as well as more investment to improve the national infrastructure to support both those rare long journeys, and those without access to home charging.” Although Plummer believes barriers to adoption are too significant to leverage any meaningful momentum towards the widespread , stock market analysts remain buoyant about the short-term growth of EV stocks. adoption of EVs Maxim Manturov, head of investment research at Freedom Finance Europe, highlighted Blink Charging (NASDAQ: BLNK) as a stock for investors to watch in the future. Blink Charging “owns, operates, and provides electric vehicle (EV) charging equipment and networked electric vehicle charging services in the United States through its subsidiaries,” said Manturov. “The company provides residential and commercial electric vehicle charging equipment, allowing drivers to recharge their vehicles in a variety of locations. It also offers the Blink Network, a cloud-based system that manages, maintains, and monitors Blink's various charging stations and associated charging data, as well as internal transactions and payment processing.” As we can see from the data above, BLNK has enjoyed a strong end to 2020 off the back of news that the UK government was committing to of new petrol cars by 2030 - showing that the stock is capable of rising significantly in the wake of concerns surrounding petrol. outlawing the sale (Image: ) Motley Fool We can also see clear evidence of specialist EV-focused compared to the S&P 500 - illustrating that market optimism for renewable energy vehicles is already thriving. ETF outperformance Although it may be a little too early for the UK fuel crisis to prompt a widespread , it does present further evidence of clear consumer intent to buy over the coming years - serving as a timely reminder that EV-focused stocks represent plenty of investment opportunities on Wall Street. shift towards EVs

Fuelling EV Adoption: the UK’s Petrol Crisis Could See a Rise in Electric Vehicle Stock Prices

The Blockchain ecosystem is expanding by leaps and bounds, not to mention the market opportunities that its use cases are generating. The philosophy of empowering people and eliminating intermediaries through the transparency and immutability of the transactions that are recorded on the Blockchain, undoubtedly represent the most significant achievement of this new digital era. And within this space, decentralized finance (DeFi) has become the great use case to follow, which locals and strangers are beginning to dabble in to become part of disruptive technology. While DeFi has been in the spotlight for most of 2020 and so far this year 2021, other sectors involved with this decentralized principle are beginning to emerge, gaining ground and attracting interest from investors of all sizes. Non-fungible tokens, popularly known as NFT for its acronym in English, are a perfect example of this. They were the big surprise in 2020, thanks to their millionaire sales that experienced a growth of 238% last year, according to the carried out by the Nonfungible platform and L’Atelier BNP Paribas. Non-Fungible Tokens Yearly Report 2020 , But what are NFTs? When we talk about a non-fungible or , we are talking about a cryptographic token that represents something unique, original, indivisible, non-exchangeable and non-fungible on the blockchain. Its design has been made to have unique and digitally verifiable properties. NFT Due to its implicit characteristics of the NFTs, its use has been extended to the creation of digital art, crypto collectibles and digital games that monetize the creativity of the users, as it happens in the Metaverses of Enjin, Axie Infinity, The Sandbox or Decentraland, for example. And it is precisely in the field of games that NFTs obtained their first use cases with projects such as and using the Counterparty protocol over the Bitcoin network. However, its popularity did not spread until 2017 with on the Ethereum Blockchain, thanks to the emergence of the ERC-721 standard. Age of Chains Rare Pepes Cryptokitties Currently the market for NFTs has spread to many sectors of people's daily lives, which, thanks to their indivisible, non-interoperable, verifiable and indestructible properties, allows increasingly innovative examples to appear, generating a market of millions of dollars that grows over time. NFT: Million Dollar Sales The NFT market is growing at a dizzying rate, which many already comparable to the DeFi boom or the crypto market in general of 2017, for the next few years to come. According to the report referenced at the beginning of this post, between 2018 and 2020 the sales fose to 825%; going from $40.9 million to just over $338 million by the end of last year. A large part of this market was covered by the crypto art, video games and Metaverse projects of Axie Infinity with more than $40.9 million dollars, Decentraland with $38.5 million and the CryptoPunks with sales in the order of $32.3 million. The above shows us that the NFT market is a sector that, in addition to helping art creators such as musicians, filmmakers, artists and gamers in general to protect their designs from counterfeits and obtain fair profits for their work, is a market that it has a disruptive potential valued in billions of dollars for the next few years. And precisely that trend continues to be marked in this upward cycle of cryptocurrencies. The NFTs industry does not rest and this is shown by the numbers in these scarce 50 days of the year 2021. Recently the NBA Top Shot NFTs under the Dapper Labs, Flow blockchain reached a new milestone, with the sale of a crypto collectible of Lebron James, a star of the professional basketball league in the United States, for the value of 200 thousand dollars, the most expensive sale yet for an NFT in sports. In the last 30 days, NBA Top Shot sales exceed 176 million dollars, as highlighted by CryptoSlam, positioning itself above platforms such as CryptoPunks, Hashmaks, Art Blocks or Axie Infinity. Following the same sporting vibe, Sorare, a blockchain collectibles platform for soccer fans and stars, announced the sale of a digital card of Juventus crack, Portuguese Cristiano Ronaldo for more than $100,000. But the news of record-breaking and successful sales doesn't stop only at the star-studded sports world. In digital art, the news does not stop and the last Thursday, February 18 of the well-known Nyan Cat meme for 300 ETH or around $590,000 in an online auction, shows the power that NFTs have in art. sale In addition, the crypto art will have an additional boost this Wednesday from one of the most recognized auction houses in the world. will become the first house of its kind to sell an NFT artwork this Wednesday: by digital artist Beeple. Christies "Every Day: The First 5000 Days" As mentioned above, the field of gaming is another of the sectors that have promoted the use of NFTs. Used to transfer or exchange game items for money, without the need to trust third parties, it has been one of the properties that have expanded the use of non-fungible tokens in Metaverses based on Blockchain technology, such as Axie Infinity for example. Virtual Land Sales Set Records Sales of virtual land are booming and this is demonstrated by the figures compiled by the sales of almost $2 million reached by The Sandbox in its pre sale of LAND virtual spaces on February 11. As highlighted by the platform on its official account, the Public Land Sale Wave 1 ended with 1,200 Premium LANDS sold for 5.6 million SAND ($1.1M) and 9 Estates auctions for ~ $386K. Twitter It is expected that the second public sale of virtual spaces to be carried out this coming February 25 by The Sandbox, will exceed the record reached for the 1,024 regular LANDS offered, among other spaces. At Metaverse such as The Sandbox, a non-fungible token “NFT“  represents digital parcels in which the owner can create, lease or sell to third parties to monetize their virtual real estate income. Already in 2020, the platform based on Blockchain technology pointed the way to come for this 2021, when in the month of November it managed to sell in less than 20 minutes, $500,000 dollars in its final round 4 its LAND assets, an NFT where users they monetize their experiences within the Metaverse. In addition to The Sandbox, the $ 1.5 million dollars reached on February 8 from an NFT of plots in the Metaverse Axie Infinity, show the bright future that this type of blockchain platforms has. The sale took place during the "week-long anniversary" of the launch of Axie's Ronin Mainnet, the platform's sidechain built to relieve pressure from Ethereum network congestion and gas fees for gamers. What happened in these Metaverse is signaling that a new ‘virtual’ real estate market is being generated more strongly in 2021 around NFTs. To put this data in context, it is enough to look at the price that an NFT can reach in the Metaverse such as Decentraland, Enjin or The Sandbox itself. According to Opensea, a marketplace empowered by users to sell their NFT creations, The Sandbox platform has reached the milestone of selling 'Estate' on this marketplace for the order of $500,000 SAND, approximately one hundred thousand dollars. Without a doubt, the figures that we find in these marketplaces such as Opensea, are sending a clear signal to investors of all sizes that NFTs are the next boom of the Blockchain ecosystem. For now, popular platforms like Decentraland, Enjin, and The Sandbox, to name a few of the biggest Metaverses, continue to dominate the NFT sector, to the point that the world's leading crypto asset price indicator, CoinMarketCap, has generated an exclusive list to monitor this subsector of DeFi.

Fuelling up the Year of NFTs: The Biggest Sales Yet This 2021

This article was originally published on OnlineSales.ai What is Cash On Delivery? According to Wikipedia Cash on delivery (COD), is the sale of goods by mail order where payment is made on delivery rather than in advance. There are loads of Advantages to Cash on Delivery (COD) for both the consumer as well as the retailer. The customer does not need to own a credit card to purchase. Impulse purchases may increase as payment is not due at the time of ordering. Trust. You can trust the company because you are paying after your receive the product at your doorstep. How Cash on Delivery Fuelled E-Commerce Growth in India Remember the emergence of E-Commerce blossoming in India, and the early nervousness of making payments online? Even though there has been a significant rise in online payments over the last few years since, Cash on Delivery (COD) continues to remain the most preferred mode of payment for consumers in India. According to Nielsen’s Global Connected Commerce Survey ( ) about 83% consumers in India preferred using cash on delivery as a mode of payment for online purchases. Consumers still dither to use credit cards due to online fraud risks. A report highlights that majority mode of payment made by consumers for online sites like Flipkart, was COD, 72% from major cities and 90% from smaller towns. Business Insider 70% buyers Prefer Cash on Delivery Payments While mobile wallets and netbanking transactions are on the rise, when it comes to making online purchases, . Payment options like Net-Banking, Credit & Debit Cards and e-wallets combined contribute to only about 30% of all online purchases, as compared to Cash On Delivery (CoD). most of the buyers still prefer Cash-on-Delivery payment model Regardless of the low use of Internet in poorer countries, the E-Commerce sector has tripled from $4.4 billion (Rs 20,020 crore) in 2010 to $13.6 billion (Rs.83,096 crore) in 2014. The online retail sector in India is expected to be a $1 trillion (Rs 660,000 crore) market by 2020, according to a by the Confederation of Indian Industry (CII) and Deloitte, a consultancy. recent report Moreover, the slowly yet progressively increasing popularity of mobile wallets after demonetisation could be an alternative way to possibly convert cash on delivery into online payments. There’s no point in contradicting the fact that COD is the biggest game changer, which has given an edge to those who offered the service. Flipkart, which was launched in 2007, was the first E-Commerce player after Indiaplaza to launch COD service back in 2010. It was the Cash on Delivery service that made Flipkart exceptionally popular and made online shopping a tempo among the masses. Suddenly every person, from a young college student who didn’t even have a bank account, to a person from a small town who didn’t possess a debit card, were able to buy things with just a click. Factors that contributed to Cash on Delivery growth: Convenience Familiarity with cash payments Less credit/debit card users Lack of secure payment gateways Consumer’s lack of trust in online payments Fear of online scam Whether it was the anxiety of commitment or the joy of ordering anything without the immediate need of money, COD set up prompt acceptance. However, the same service is now gradually grinding marketplaces and suppliers. Here’s why: 1. Restricted Cash Flow COD is convenient for buyers but extremely inconvenient for retailers and vendors. It hinders cash flow as such orders take longer to close. It often takes months for the money to reach the seller, that too if there’s no refund/return request. This makes it difficult for them to gauge or maintain daily operations. 2. Additional Cost The listed down that courier companies charge for delivering COD orders above the regular charges. The cost rises even further in case of returns as marketplaces/logistic companies deduct courier fees. Indian Online Seller article 3. High Returns Cash on delivery and is a deadly combination. People make imprudent and impulsive purchases and return it without any fret. And sellers believe that COD orders lead to high returns and buyers give as opposed to non-COD orders. This creates a hole in a seller’s, the logistic company’s and the marketplace’s pocket. no-questions-asked return policy insane reasons 4. Fraud/Theft and robbed at gunpoint, to theft during transit and fake orders, we have heard it all. Such occurrences mostly have been reported in case of COD orders. And what that has resulted in? Further expense. Delivery boys being beaten up It has enforced third-party and in-house logistics of online marketplaces to reduce these frauds and thefts. For instance, GoJavas had to raise threefold its security budget to safeguard the order shipments. to increase their expenditure on security, and high-tech tracking devices Reversing card holders into exclusive COD users. Main complaint that industry experts have is that retailers are turning card users or potential ones into exclusive COD subscribers. It is coherent that those who don’t have plastic money were/are opting to pay by cash. But arrival of COD service is adverse for those with cards to make online payments. Many sensed that India was gradually moving towards prepaid system and digital payments until Flipkart and other online marketplaces rushed in with Cash on Delivery. Therefore it isn’t shocking that from a well-known service, Cash on Delivery is now regarded as an expected service. It has become a natural choice of payment that sellers and traders just can’t afford to withdraw at the moment. Efforts to bring down cash transaction Government of India along with financial organisations has been trying their best to reduce cash transactions and boost digital payments to improve economy. Right from on electronic payments, executing restrictions to , the government is trying to move away from cash-intensive economy. The master stroke to curb transactions via cash was the recent move of demonetising Rs. 500 and Rs. 1000, due to which offering tax incentives simplifying the digital payment process COD orders noticed a drop of upto 30%. Likewise, E-Commerce players have done and are still doing their bit to reduce COD. Some of steps that retailers and sellers have implemented (or should implement if they haven’t) are: Payment through card upon delivery Improving payment gateways and expanding options Encouraging digital wallets through exclusive offers Offering incentives on online payments Instant refund mechanism facility Tying up with banks for special cash-back and discount offers when paid using card Initiating mobile transactions Charging extra for COD orders Putting a cap on acceptable COD order value, quantity and product type Altering return policy to remove absurd reasons for return Allowing sellers to decide the payment & shipping policy Cash will still rule After demonetisation, the majority of the E-Commerce players in India had paused the Cash on Delivery option. But they were also quick to reintroduce it within 2 weeks from the announcement. Which clearly states, that for a country like India, where people are comfortable and accustomed to cash transactions, getting rid of COD and creating a cashless economy still seems like a far-fetched dream. Related Posts Current Trends You Need to Know about the Indian E-Commerce Industry 5 Amazingly Productive E-Commerce Purchase Funnel Boosters [Infographic] Current Trends in the Indian Apparel Industry Take Google Shopping to the Next Level : Image Optimization in E-Commerce This article was originally published on OnlineSales.ai Authored by: Paras Khushiramani | Sr. Business Analyst

How Cash on Delivery Fuelled E-Commerce Growth in India

With just days until the outcome of the U.S. presidential race, Bitcoin enthusiasts across the world are wondering how a win for either Donald Trump or Kamala Harris will impact the cryptocurrency market's long-term fortunes. With Bitcoin surging to a new all-time high against several global currencies in the past few days - and with its U.S dollar valuation only missing an ATH by a mere $175 - the general outlook would appear to be positive. Some have speculated that the future of Bitcoin is assured regardless of which candidate assumes the presidency, and that neither Trump nor Harris will stem the rise of a digital currency that has seen its value increase by 142,538,880.54% in the past 14 years, as per data from CoinMarketCap. Let’s take a look at how Donald Trump and Kamala Harris have been addressing the topic of Bitcoin and cryptocurrency in the lead-up to the election, and examine what a win for either candidate could mean for the future of the crypto market in general. Trump and Harris Come Round to Bitcoin? In recent years both Trump and Harris have expressed caution around the topic of cryptocurrencies. Trump initially claimed Bitcoin could eat into the U.S dollar’s dominance around the globe and drew attention to its use in illicit and illegal activities. Harris, meanwhile, appeared hesitant to grapple with the issue of digital currencies and remained fairly tight-lipped on the subject until recently. In the run-up to the election, however, both candidates have changed their views on the topic, with Trump in particular appearing to become an eager adoptee of the use of Bitcoin and other cryptocurrencies. Donald Trump’s campaign has been fuelled in part by digital currencies after he began accepting donations in the form of Bitcoin, Ether, Dogecoin, and Solana, and other cryptocurrencies. Indeed, Donald Trump’s perception as the most pro-crypto candidate of the two has been helped by comments made in the past week in which Trump floated the possibility of removing the imposition of capital gains tax on Bitcoin usage. Trump told podcaster Joe Rogan: “They have them paying tax on crypto and I don't think that's right. Bitcoin is money and you have to pay capital gains tax if you use it to buy a coffee? I was talking with a friend and he said 'it really shouldn't be taxed' and I agree. Maybe we get rid of taxes on crypto and replace it with tariffs,” said Trump. Trump declared that only cryptocurrencies made in the USA should be subject to the removal of tax and that coins created in other countries - particularly China - should still have tariffs imposed. Kamala Harris has not expressed such clear support for the cryptocurrency market, however she has begun to reach out to major cryptocurrency firms like Coinbase and Ripple, and has called for greater regulatory oversight of the crypto market. While Harris’ comments have been regarded as less positive than Trump’s, they do suggest she may be willing to work alongside the industry to clear up regulatory uncertainties and ensure a safer environment for investors - a stance that still appears somewhat pro-crypto. How a Trump Win Could Affect Bitcoin The general perception is that a win for Trump is a win for Bitcoin. Indeed, some observers claim that Bitcoin’s resurgence over the course of the past few months is an indicator that Trump has already won.MannaBitcoin and HandsFreeBTC founder, Adam Simecka, on X. https://x.com/AdamSimecka/status/1851090258768572873?embedable=true The value of BTC increased by 21% in the past 30 days, and 37% in the past three months, and some expect it to record a new all-time high against the U.S dollar regardless of the outcome of the U.S election. That said, a Trump win would send strong signals to cryptocurrency investors worldwide and would spur both institutional and retail adoption, facilitating growth for Bitcoin and DeFi initiatives through a relaxation of both taxation and regulation. Private wealth management firm, Bernstein, told CNBC that a win for Trump could see the value of Bitcoin top $80,000. Youwei Yang, chief economist at Bit Mining, was even more optimistic, and recently forecasted a potential Bitcoin price of $135,000 if Trump assumes the presidency. According to Yang, a Harris win would still see Bitcoin reach a price of $120,000. Trump has also vowed to make the U.S the world leader in Bitcoin mining and has even floated the idea of the U.S government holding Bitcoin as a reserve currency. How a Harris Win Could Affect Bitcoin Kamala Harris’ recent focus on regulatory oversight suggests that despite her apparent caution, she recognises that crypto is here to stay. Harris told a gathering of fundraisers in September: “We will encourage innovative technologies like AI and digital assets while protecting our consumers and investors,” said Harris, as reported by Bloomberg. While Harris hasn’t voiced any decidedly anti-crypto opinions, the general perception is that a Harris win would mean slower growth for Bitcoin in the short-term as the focus shifts towards stronger regulation. The market’s reaction to a Harris win could be highly reflexive, and could result in a sharp dip in the value of Bitcoin in the short-term. Such a sharp dip could send reverberations throughout the market, potentially creating a large-scale selloff where traders collectively seek to drop a rapidly declining asset, before buying in again when they perceive the dip to be over. Bitcoin’s Future With the election result just days away and Bitcoin’s immediate future potentially in the balance, Donald Trump made reference to Bitcoin’s past. On Oct. 31, Trump wrote on X: https://x.com/realDonaldTrump/status/1852033244729860397?embedable=true “I would like to wish our great Bitcoiners a Happy 16th Anniversary of Satoshi’s White Paper. We will end Kamala’s war on crypto, & Bitcoin will be MADE IN THE USA! VOTE TRUMP!” wrote Trump, referencing the 16th anniversary of the publication of the Bitcoin whitepaper. Rarely in history have the fortunes of an entire asset-class been so dependent on the outcome of a presidential race, and the furore surrounding Bitcoin in the run-up to the election is testament to how deeply ingrained the idea of autonomous digital currency is in the minds of voters. Bitcoiners across the globe will be eagerly awaiting the outcome of the election in the next week. While neither outcome may necessarily spell doom for Bitcoin’s long-term future, the impact of either candidate assuming the presidency is certain to produce fireworks for the cryptocurrency market in the short-term. With just days until the outcome of the U.S. presidential race, Bitcoin enthusiasts across the world are wondering how a win for either Donald Trump or Kamala Harris will impact the cryptocurrency market's long-term fortunes. With Bitcoin surging to a new all-time high against several global currencies in the past few days - and with its U.S dollar valuation only missing an ATH by a mere $175 - the general outlook would appear to be positive. Some have speculated that the future of Bitcoin is assured regardless of which candidate assumes the presidency, and that neither Trump nor Harris will stem the rise of a digital currency that has seen its value increase by 142,538,880.54% in the past 14 years, as per data from CoinMarketCap. as per data as per data Let’s take a look at how Donald Trump and Kamala Harris have been addressing the topic of Bitcoin and cryptocurrency in the lead-up to the election, and examine what a win for either candidate could mean for the future of the crypto market in general. Let’s take a look at how Donald Trump and Kamala Harris have been addressing the topic of Bitcoin and cryptocurrency in the lead-up to the election, and examine what a win for either candidate could mean for the future of the crypto market in general. Trump and Harris Come Round to Bitcoin? In recent years both Trump and Harris have expressed caution around the topic of cryptocurrencies. Trump initially claimed Bitcoin could eat into the U.S dollar’s dominance around the globe and drew attention to its use in illicit and illegal activities. Harris, meanwhile, appeared hesitant to grapple with the issue of digital currencies and remained fairly tight-lipped on the subject until recently. initially claimed initially claimed In the run-up to the election, however, both candidates have changed their views on the topic, with Trump in particular appearing to become an eager adoptee of the use of Bitcoin and other cryptocurrencies. Donald Trump’s campaign has been fuelled in part by digital currencies after he began accepting donations in the form of Bitcoin, Ether, Dogecoin, and Solana , and other cryptocurrencies. accepting donations form of Bitcoin, Ether, Dogecoin, and Solana Indeed, Donald Trump’s perception as the most pro-crypto candidate of the two has been helped by comments made in the past week in which Trump floated the possibility of removing the imposition of capital gains tax on Bitcoin usage. Trump told podcaster Joe Rogan: told “They have them paying tax on crypto and I don't think that's right. Bitcoin is money and you have to pay capital gains tax if you use it to buy a coffee? I was talking with a friend and he said 'it really shouldn't be taxed' and I agree. Maybe we get rid of taxes on crypto and replace it with tariffs,” said Trump. “They have them paying tax on crypto and I don't think that's right. Bitcoin is money and you have to pay capital gains tax if you use it to buy a coffee? I was talking with a friend and he said 'it really shouldn't be taxed' and I agree. Maybe we get rid of taxes on crypto and replace it with tariffs,” said Trump. Trump declared that only cryptocurrencies made in the USA should be subject to the removal of tax and that coins created in other countries - particularly China - should still have tariffs imposed. Kamala Harris has not expressed such clear support for the cryptocurrency market, however she has begun to reach out to major cryptocurrency firms like Coinbase and Ripple, and has called for greater regulatory oversight of the crypto market. reach out to major cryptocurrency firms While Harris’ comments have been regarded as less positive than Trump’s, they do suggest she may be willing to work alongside the industry to clear up regulatory uncertainties and ensure a safer environment for investors - a stance that still appears somewhat pro-crypto. How a Trump Win Could Affect Bitcoin The general perception is that a win for Trump is a win for Bitcoin. Indeed, some observers claim that Bitcoin’s resurgence over the course of the past few months is an indicator that Trump has already won. MannaBitcoin and HandsFreeBTC founder, Adam Simecka, on X. https://x.com/AdamSimecka/status/1851090258768572873?embedable=true https://x.com/AdamSimecka/status/1851090258768572873?embedable=true The value of BTC increased by 21% in the past 30 days, and 37% in the past three months, and some expect it to record a new all-time high against the U.S dollar regardless of the outcome of the U.S election. That said, a Trump win would send strong signals to cryptocurrency investors worldwide and would spur both institutional and retail adoption, facilitating growth for Bitcoin and DeFi initiatives through a relaxation of both taxation and regulation. Private wealth management firm, Bernstein, told CNBC that a win for Trump could see the value of Bitcoin top $80,000. told CNBC told CNBC Youwei Yang, chief economist at Bit Mining, was even more optimistic, and recently forecasted a potential Bitcoin price of $135,000 if Trump assumes the presidency. According to Yang, a Harris win would still see Bitcoin reach a price of $120,000. recently forecasted recently forecasted Trump has also vowed to make the U.S the world leader in Bitcoin mining and has even floated the idea of the U.S government holding Bitcoin as a reserve currency . holding Bitcoin as a reserve currency holding Bitcoin as a reserve currency How a Harris Win Could Affect Bitcoin Kamala Harris’ recent focus on regulatory oversight suggests that despite her apparent caution, she recognises that crypto is here to stay. Harris told a gathering of fundraisers in September: “We will encourage innovative technologies like AI and digital assets while protecting our consumers and investors,” said Harris, as reported by Bloomberg. “We will encourage innovative technologies like AI and digital assets while protecting our consumers and investors,” reported reported While Harris hasn’t voiced any decidedly anti-crypto opinions, the general perception is that a Harris win would mean slower growth for Bitcoin in the short-term as the focus shifts towards stronger regulation. The market’s reaction to a Harris win could be highly reflexive, and could result in a sharp dip in the value of Bitcoin in the short-term. Such a sharp dip could send reverberations throughout the market, potentially creating a large-scale selloff where traders collectively seek to drop a rapidly declining asset, before buying in again when they perceive the dip to be over. Bitcoin’s Future With the election result just days away and Bitcoin’s immediate future potentially in the balance, Donald Trump made reference to Bitcoin’s past. On Oct. 31, Trump wrote on X : Trump wrote on X Trump wrote on X https://x.com/realDonaldTrump/status/1852033244729860397?embedable=true https://x.com/realDonaldTrump/status/1852033244729860397?embedable=true “I would like to wish our great Bitcoiners a Happy 16th Anniversary of Satoshi’s White Paper. We will end Kamala’s war on crypto, & Bitcoin will be MADE IN THE USA! VOTE TRUMP!” wrote Trump, referencing the 16th anniversary of the publication of the Bitcoin whitepaper. Rarely in history have the fortunes of an entire asset-class been so dependent on the outcome of a presidential race, and the furore surrounding Bitcoin in the run-up to the election is testament to how deeply ingrained the idea of autonomous digital currency is in the minds of voters. Bitcoiners across the globe will be eagerly awaiting the outcome of the election in the next week. While neither outcome may necessarily spell doom for Bitcoin’s long-term future, the impact of either candidate assuming the presidency is certain to produce fireworks for the cryptocurrency market in the short-term.

Harris vs. Trump: Predicting the Bitcoin Market's Fate Post-Election

Харыс супраць Трампа: прагназаванне лёсу рынку біткойнаў пасля выбараў

Harris vs. Trump: predir el destí del mercat de Bitcoin després de les eleccions

Harris vs. Trump: Předpovídání osudu bitcoinového trhu po volbách

Harris vs. Trump: Predicción del destino del mercado de Bitcoin después de las elecciones

ハリス対トランプ：選挙後のビットコイン市場の運命を予測する

Харис наспроти Трамп: Предвидување на судбината на пазарот на Биткоин по изборите

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Harris lwn Trump: Meramalkan Nasib Pasaran Bitcoin Selepas Pilihan Raya

Harris vs Trump: Bitcoin qhatupa Destinonmanta Willay Akllanakuy qhipaman

ሃሪስ ኣንጻር ትራምፕ፡ ድሕሪ ምርጫ ዕጫ ዕዳጋ ቢትኮይን ምግማት

Harris vs. Trump: Paghula sa kapalaran ng Bitcoin Market Pagkatapos ng Eleksyon

Harris đấu với Trump: Dự đoán số phận của thị trường Bitcoin sau bầu cử

The latest edition of One More Thing in AI Newsletter. Technology is best when it brings people together.” – Matt Mullenweg, founder of Auttomatic and developer of WordPress. Hey AI AI-curious reader, Thank you for subscribing to the One More Thing in AI Newsletter. This is specially curated for Startup founders and Business Leaders like you who want to get smarter about AI in less than 5 minutes. It is a snapshot of what I read and learned about AI in the last two weeks. I hope you enjoy reading this edition. Keep learning and applying AI. Best, Renjit Philip Goldman Sachs Experts Weigh In Goldman Sachs has released a report on the massive spending on artificial intelligence (AI). They explore whether this huge investment will pay off. Tech companies are set to spend over $1 trillion on AI in the next few years. The report includes views from experts who are both hopeful and doubtful about AI's economic potential. Key Insights and Arguments Doubts About AI’s Economic Impact
Daron Acemoglu (MIT) thinks the benefits from AI will be smaller than expected. He predicts only a 0.5% increase in productivity and a 1% increase in GDP over the next ten years. He believes AI won't bring significant changes quickly and doubts it will be cost-effective in automating many tasks soon.
Jim Covello (Goldman Sachs) says AI needs to solve very complex problems to justify its high costs. He is skeptical that AI will ever be cheap enough to replace many tasks affordably.


Hopes for AI’s Potential
Joseph Briggs (Goldman Sachs) is more optimistic. He predicts AI could automate 25% of all work tasks, leading to a 9% increase in US productivity and a 6.1% GDP growth over the next decade. He believes the cost savings and the trend of technology becoming cheaper support a positive long-term impact of AI.
Kash Rangan and Eric Sheridan (Goldman Sachs) are excited about AI’s potential, even though there hasn't been a clear "killer application" yet. They believe current spending on AI infrastructure is reasonable and expect long-term benefits as AI becomes more integrated into different industries.


Challenges and Constraints
Chip Shortages: Analysts warn that chip shortages, especially in High-Bandwidth Memory technology, will limit AI growth in the near future.
Power Supply Issues: Analysts highlight that the rise in power demand from AI and data centers could strain the US power grid, potentially limiting AI’s growth. Market Implications
AI Bubble Concerns: Despite doubts about AI’s fundamental value, some experts caution that the AI bubble could last for a while, benefiting infrastructure providers. Utilities might be the next big winners. Long-Term Equity Returns: Only the most favorable AI scenarios, where AI boosts growth and profitability without increasing inflation, will result in above-average long-term returns for the S&P 500. Takeaway The report presents a balanced view, acknowledging both AI investments' potential and challenges. While there is hope for AI’s transformative power and long-term benefits, there are concerns about immediate economic impacts, technological constraints, and market sustainability. This analysis shows the complexity and uncertainty of AI’s future economic contributions. It's worth a read for business leaders! The AI $600B Gold Rush: Where to Next? AI is making waves, and everyone's wondering how it will shape the future. Let’s dive into the latest insights from Sequoia Capital. But the real question is, where's the money going? For every dollar spent on a GPU, another dollar is needed for energy to run it in a data center. If Nvidia makes $50B from GPUs by the end of the year, data center costs will be about $100B. Companies using these GPUs, like Starbucks or Tesla, must make a 50% profit margin (assume that margin, which is a reasonable average). So, for every $50BN worth of chips sold, the companies need to create $200BN worth of revenues to make the purchase viable. The actual gap is $600BN. (Image from Sequoia’s blog) Takeaways from the post: Supply shortage has subsided: Late 2023 was the peak of the GPU supply shortage. Startups were desperate for GPUs, but now, it's much easier to get them with reasonable lead times. GPU stockpiles are growing: In Q4, Nvidia reported that about half of its data center revenue came from large cloud providers, with Microsoft alone likely contributing 22%. Hyperscale CapEx is at historic levels, and Big Tech is heavily investing in GPUs. Stockpiling hardware continues, and a reset will occur when stockpiles are large enough to reduce demand. OpenAI still leads AI revenue: OpenAI’s revenue reached $3.4B, up from $1.6B in late 2023. Most startups are still far behind, with revenues under $100M. AI companies need to deliver significant value to consumers to justify ongoing expenses. Lack of Pricing Power: Unlike physical infrastructure like railroads, which can charge more because there can only be so many tracks, GPU data centers can’t do that. GPU computing is becoming a cheap, hourly service. More companies keep building AI clouds, stopping any single company from controlling prices, so prices drop, like in the airline industry. Investment Losses: Investing in new technologies often leads to big losses. History shows that during technology booms, many people lose money, like with railroads. It’s easier to see which investments will lose money than which will win. Depreciation: Technology like GPUs gets better quickly. Nvidia will keep making better chips, like the B100, which will make current chips lose value fast. People overestimate how long current chips will stay valuable, unlike railroads, which don’t get better as quickly. Last word: Winners vs. Losers: There are always winners, even when there’s too much “building” fuelled by VC money. AI is expected to be the next big thing. Lower GPU costs are suitable for new ideas and startups. While investors might lose money, AI company founders will likely succeed due to lower costs and the lessons learned during this time. Forget about the current costs of AI training and GPUs and start building solutions that add value to end customers. It is still early days of AI. This is an excerpt from my newsletter published on the web at www.onemorethinginai.com The latest edition of One More Thing in AI Newsletter. The latest edition of One More Thing in AI Newsletter. Technology is best when it brings people together.” – Matt Mullenweg, founder of Auttomatic and developer of WordPress. Technology is best when it brings people together.” – Matt Mullenweg, founder of Auttomatic and developer of WordPress. Hey AI AI-curious reader, Thank you for subscribing to the One More Thing in AI Newsletter. This is specially curated for Startup founders and Business Leaders like you who want to get smarter about AI in less than 5 minutes. It is a snapshot of what I read and learned about AI in the last two weeks. I hope you enjoy reading this edition. Keep learning and applying AI. Best, Renjit Philip Goldman Sachs Experts Weigh In Goldman Sachs has released a report on the massive spending on artificial intelligence (AI). They explore whether this huge investment will pay off. Tech companies are set to spend over $1 trillion on AI in the next few years. The report includes views from experts who are both hopeful and doubtful about AI's economic potential. Key Insights and Arguments Key Insights and Arguments Doubts About AI’s Economic Impact
Daron Acemoglu (MIT) thinks the benefits from AI will be smaller than expected. He predicts only a 0.5% increase in productivity and a 1% increase in GDP over the next ten years. He believes AI won't bring significant changes quickly and doubts it will be cost-effective in automating many tasks soon.
Jim Covello (Goldman Sachs) says AI needs to solve very complex problems to justify its high costs. He is skeptical that AI will ever be cheap enough to replace many tasks affordably. Hopes for AI’s Potential
Joseph Briggs (Goldman Sachs) is more optimistic. He predicts AI could automate 25% of all work tasks, leading to a 9% increase in US productivity and a 6.1% GDP growth over the next decade. He believes the cost savings and the trend of technology becoming cheaper support a positive long-term impact of AI.
Kash Rangan and Eric Sheridan (Goldman Sachs) are excited about AI’s potential, even though there hasn't been a clear "killer application" yet. They believe current spending on AI infrastructure is reasonable and expect long-term benefits as AI becomes more integrated into different industries. Challenges and Constraints
Chip Shortages: Analysts warn that chip shortages, especially in High-Bandwidth Memory technology, will limit AI growth in the near future.
Power Supply Issues: Analysts highlight that the rise in power demand from AI and data centers could strain the US power grid, potentially limiting AI’s growth. Doubts About AI’s Economic Impact
Daron Acemoglu (MIT) thinks the benefits from AI will be smaller than expected. He predicts only a 0.5% increase in productivity and a 1% increase in GDP over the next ten years. He believes AI won't bring significant changes quickly and doubts it will be cost-effective in automating many tasks soon. Jim Covello (Goldman Sachs) says AI needs to solve very complex problems to justify its high costs. He is skeptical that AI will ever be cheap enough to replace many tasks affordably. Doubts About AI’s Economic Impact Daron Acemoglu (MIT) thinks the benefits from AI will be smaller than expected. He predicts only a 0.5% increase in productivity and a 1% increase in GDP over the next ten years. He believes AI won't bring significant changes quickly and doubts it will be cost-effective in automating many tasks soon. Doubts About AI’s Economic Impact Jim Covello (Goldman Sachs) says AI needs to solve very complex problems to justify its high costs. He is skeptical that AI will ever be cheap enough to replace many tasks affordably. Hopes for AI’s Potential
Joseph Briggs (Goldman Sachs) is more optimistic. He predicts AI could automate 25% of all work tasks, leading to a 9% increase in US productivity and a 6.1% GDP growth over the next decade. He believes the cost savings and the trend of technology becoming cheaper support a positive long-term impact of AI. Kash Rangan and Eric Sheridan (Goldman Sachs) are excited about AI’s potential, even though there hasn't been a clear "killer application" yet. They believe current spending on AI infrastructure is reasonable and expect long-term benefits as AI becomes more integrated into different industries. Hopes for AI’s Potential Joseph Briggs (Goldman Sachs) is more optimistic. He predicts AI could automate 25% of all work tasks, leading to a 9% increase in US productivity and a 6.1% GDP growth over the next decade. He believes the cost savings and the trend of technology becoming cheaper support a positive long-term impact of AI. Hopes for AI’s Potential Kash Rangan and Eric Sheridan (Goldman Sachs) are excited about AI’s potential, even though there hasn't been a clear "killer application" yet. They believe current spending on AI infrastructure is reasonable and expect long-term benefits as AI becomes more integrated into different industries. Challenges and Constraints
Chip Shortages: Analysts warn that chip shortages, especially in High-Bandwidth Memory technology, will limit AI growth in the near future. Power Supply Issues: Analysts highlight that the rise in power demand from AI and data centers could strain the US power grid, potentially limiting AI’s growth. Challenges and Constraints Chip Shortages: Analysts warn that chip shortages, especially in High-Bandwidth Memory technology, will limit AI growth in the near future. Challenges and Constraints Power Supply Issues: Analysts highlight that the rise in power demand from AI and data centers could strain the US power grid, potentially limiting AI’s growth. Market Implications AI Bubble Concerns: Despite doubts about AI’s fundamental value, some experts caution that the AI bubble could last for a while, benefiting infrastructure providers. Utilities might be the next big winners. Market Implications Long-Term Equity Returns: Only the most favorable AI scenarios, where AI boosts growth and profitability without increasing inflation, will result in above-average long-term returns for the S&P 500. Takeaway The report presents a balanced view, acknowledging both AI investments' potential and challenges. While there is hope for AI’s transformative power and long-term benefits, there are concerns about immediate economic impacts, technological constraints, and market sustainability. This analysis shows the complexity and uncertainty of AI’s future economic contributions. It's worth a read for business leaders! Takeaway The AI $600B Gold Rush: Where to Next? The AI $600B Gold Rush: Where to Next? AI is making waves, and everyone's wondering how it will shape the future. Let’s dive into the latest insights from Sequoia Capital. But the real question is, where's the money going? For every dollar spent on a GPU, another dollar is needed for energy to run it in a data center. If Nvidia makes $50B from GPUs by the end of the year, data center costs will be about $100B. Companies using these GPUs, like Starbucks or Tesla, must make a 50% profit margin (assume that margin, which is a reasonable average). So, for every $50BN worth of chips sold, the companies need to create $200BN worth of revenues to make the purchase viable. The actual gap is $600BN. (Image from Sequoia’s blog) Takeaways from the post: Supply shortage has subsided: Late 2023 was the peak of the GPU supply shortage. Startups were desperate for GPUs, but now, it's much easier to get them with reasonable lead times. GPU stockpiles are growing: In Q4, Nvidia reported that about half of its data center revenue came from large cloud providers, with Microsoft alone likely contributing 22%. Hyperscale CapEx is at historic levels, and Big Tech is heavily investing in GPUs. Stockpiling hardware continues, and a reset will occur when stockpiles are large enough to reduce demand. Supply shortage has subsided: OpenAI still leads AI revenue: OpenAI’s revenue reached $3.4B, up from $1.6B in late 2023. Most startups are still far behind, with revenues under $100M. AI companies need to deliver significant value to consumers to justify ongoing expenses. OpenAI still leads AI revenue: Lack of Pricing Power: Unlike physical infrastructure like railroads, which can charge more because there can only be so many tracks, GPU data centers can’t do that. GPU computing is becoming a cheap, hourly service. More companies keep building AI clouds, stopping any single company from controlling prices, so prices drop, like in the airline industry. Lack of Pricing Power: Investment Losses: Investing in new technologies often leads to big losses. History shows that during technology booms, many people lose money, like with railroads. It’s easier to see which investments will lose money than which will win. Depreciation: Technology like GPUs gets better quickly. Nvidia will keep making better chips, like the B100, which will make current chips lose value fast. People overestimate how long current chips will stay valuable, unlike railroads, which don’t get better as quickly. Investment Losses: Last word: Winners vs. Losers: There are always winners, even when there’s too much “building” fuelled by VC money. AI is expected to be the next big thing. Lower GPU costs are suitable for new ideas and startups. Last word: Winners vs. Losers: While investors might lose money, AI company founders will likely succeed due to lower costs and the lessons learned during this time. Forget about the current costs of AI training and GPUs and start building solutions that add value to end customers. It is still early days of AI. This is an excerpt from my newsletter published on the web at www.onemorethinginai.com

Where's the AI Revenue? Plus, Will the Trillion-Dollar AI Gamble Pay Off?

LOS ANGELES, United States, September 10th, 2024/Chainwire/--Ethernity, the leading entertainment-focused Layer2 blockchain solution, proudly announces a $10 million grant program dedicated to revolutionizing the entertainment and creator economy through development of Ethernity’s Layer 2. This substantial investment aims to support developers, founders, and startups building the future of digital entertainment on the Ethernity Layer 2 ecosystem. Fuelling Innovation in Entertainment and the Creator Economy The Ethernity Grant Program is designed to fuel groundbreaking projects that elevate the entertainment landscape, offering financial support, strategic mentorship, and valuable business resources. By focusing on enhancing the creator economy, Ethernity empowers brands and founders to leverage blockchain technology for new levels of engagement, security, and monetization. Program Focus Areas: Games and Entertainment Products: Innovative games and interactive experiences that push the boundaries of digital entertainment. Blockchain Infrastructure: Tools, protocols, and infrastructure enhancements that strengthen the Ethernity ecosystem for entertainment applications. Entertainment Infrastructure: Projects that integrate global entertainment brands with blockchain, enabling new business models and fan experiences. DeFi Tools: Financial applications tailored to the needs of the entertainment industry, providing new ways to monetize and secure digital assets. RWA's and Collectibles: Cutting-edge digital assets and marketplaces that redefine ownership and engagement. Education and Outreach: Initiatives that promote blockchain adoption and educate the creator community. How to Apply The program is open globally to developers, startups, and organizations whose projects align with Ethernity’s mission to disrupt the entertainment industry through innovative products. Applicants are encouraged to submit detailed proposals outlining their project objectives, milestones, and potential impact. What Grant Recipients Will Receive Grant recipients will receive financial backing to accelerate project development, access to mentorship from entertainment and blockchain experts within Ethernity’s network, and support with marketing and PR to enhance visibility. They will also benefit from technical resources, including tools, SDKs, and dedicated technical support, as well as opportunities to connect with venture capitalists for further investment and growth. “Ethernity is committed to fostering a dynamic ecosystem that supports the next generation of entertainment and creator-focused technologies,” said Nick Rose Ntertsas, CEO of Ethernity. “This $10 million grant program is a significant step in empowering innovators and creators to bring their visions to life on the blockchain.” For More Information and Application Details Developers, creators, and organizations are invited to apply for the Ethernity Grant Program and join a pioneering movement to transform entertainment and the creator economy through blockchain technology. For more information and to apply, users can visit https://www.ethernity.io/grants About Ethernity Ethernity is a Layer 2 blockchain solution designed specifically for the entertainment industry and the creator economy. It offers AI-powered security and Digital Rights Management (DRM) to protect intellectual property on-chain. With a robust infrastructure and strong partnerships, Ethernity is poised to become the leading web3 platform for entertainment, providing a secure, scalable, and user-friendly environment for creators and brands. Website: Ethernity.io Twitter: @EthernityChain Telegram: EthernityChain Contact CMO James Aitken Ethernity Chain james@ethernity.io This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here. LOS ANGELES, United States, September 10th, 2024/Chainwire/--Ethernity, the leading entertainment-focused Layer2 blockchain solution, proudly announces a $10 million grant program dedicated to revolutionizing the entertainment and creator economy through development of Ethernity’s Layer 2. This substantial investment aims to support developers, founders, and startups building the future of digital entertainment on the Ethernity Layer 2 ecosystem. Fuelling Innovation in Entertainment and the Creator Economy The Ethernity Grant Program is designed to fuel groundbreaking projects that elevate the entertainment landscape, offering financial support, strategic mentorship, and valuable business resources. By focusing on enhancing the creator economy, Ethernity empowers brands and founders to leverage blockchain technology for new levels of engagement, security, and monetization. Program Focus Areas: Games and Entertainment Products: Innovative games and interactive experiences that push the boundaries of digital entertainment. Blockchain Infrastructure: Tools, protocols, and infrastructure enhancements that strengthen the Ethernity ecosystem for entertainment applications. Entertainment Infrastructure: Projects that integrate global entertainment brands with blockchain, enabling new business models and fan experiences. DeFi Tools: Financial applications tailored to the needs of the entertainment industry, providing new ways to monetize and secure digital assets. RWA's and Collectibles: Cutting-edge digital assets and marketplaces that redefine ownership and engagement. Education and Outreach: Initiatives that promote blockchain adoption and educate the creator community. How to Apply The program is open globally to developers, startups, and organizations whose projects align with Ethernity’s mission to disrupt the entertainment industry through innovative products. Applicants are encouraged to submit detailed proposals outlining their project objectives, milestones, and potential impact. What Grant Recipients Will Receive Grant recipients will receive financial backing to accelerate project development, access to mentorship from entertainment and blockchain experts within Ethernity’s network, and support with marketing and PR to enhance visibility. They will also benefit from technical resources, including tools, SDKs, and dedicated technical support, as well as opportunities to connect with venture capitalists for further investment and growth. “Ethernity is committed to fostering a dynamic ecosystem that supports the next generation of entertainment and creator-focused technologies,” said Nick Rose Ntertsas, CEO of Ethernity. “Ethernity is committed to fostering a dynamic ecosystem that supports the next generation of entertainment and creator-focused technologies,” said Nick Rose Ntertsas, CEO of Ethernity. “This $10 million grant program is a significant step in empowering innovators and creators to bring their visions to life on the blockchain.” “This $10 million grant program is a significant step in empowering innovators and creators to bring their visions to life on the blockchain.” For More Information and Application Details Developers, creators, and organizations are invited to apply for the Ethernity Grant Program and join a pioneering movement to transform entertainment and the creator economy through blockchain technology. For more information and to apply, users can visit https://www.ethernity.io/grants About Ethernity Ethernity is a Layer 2 blockchain solution designed specifically for the entertainment industry and the creator economy. It offers AI-powered security and Digital Rights Management (DRM) to protect intellectual property on-chain. With a robust infrastructure and strong partnerships, Ethernity is poised to become the leading web3 platform for entertainment, providing a secure, scalable, and user-friendly environment for creators and brands. Website: Ethernity.io Twitter: @EthernityChain Telegram: EthernityChain Contact CMO James Aitken Ethernity Chain james@ethernity.io This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here. This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here . here here

Ethernity Chain Unveils $10 Million Grant Program To Empower Founders

تكشف شركة Ethernity Chain عن برنامج منح بقيمة 10 ملايين دولار لتمكين المؤسسين

Ethernity Chain Təsisçiləri Gücləndirmək üçün 10 Milyon dollarlıq Qrant Proqramını Açdı

Ethernity Chain presenta un programa de subvencions de 10 milions de dòlars per apoderar els fundadors

Ethernity Chain presenta un programa de subvenciones de 10 millones de dólares para empoderar a los fundadores

Ethernity Chain presenta un programa de subvencións de 10 millóns de dólares para empoderar aos fundadores

Ethernity Chain-ը ներկայացնում է 10 միլիոն դոլարի դրամաշնորհային ծրագիր՝ հիմնադիրներին հզորացնելու համար

Ethernity Chain、創業者を支援する1,000万ドルの助成金プログラムを発表

Ethernity Chain ເປີດເຜີຍໂຄງການຊ່ວຍເຫຼືອລ້າ 10 ລ້ານໂດລາ ເພື່ອສ້າງຄວາມເຂັ້ມແຂງໃຫ້ຜູ້ກໍ່ຕັ້ງ

Ny Ethernity Chain dia manambara ny fandaharan'asa fanomezana 10 tapitrisa dolara mba hanomezana hery ny mpanorina

Етернити синџир претстави програма за грант од 10 милиони долари за зајакнување на основачите

Ethernity Chain เปิดตัวโครงการให้ทุนมูลค่า 10 ล้านเหรียญสหรัฐเพื่อส่งเสริมผู้ก่อตั้ง

Ethernity Chain asoschilarni kuchaytirish uchun 10 million dollarlik grant dasturini ochdi

There is productivity. Then there is AI-powered productivity. I like to call these the “10X Makers”.  While that may be an overused phrase, bear with me. A 10X Maker is the perfect marriage between those who naturally innovate and the AI tools on offer that allow them to create groundbreaking solutions at an unprecedented pace. These individuals - strapped to the rocketship of AI - are the ones who will reshape industries and drive global transformation. You probably already have these in your team. They have visionary thinking, adaptability, and a strong bias for action. They are rarely satisfied with small improvements. Instead, they aim for huge leaps forward. With AI tools at their disposal, they can accelerate every phase of the innovation process from ideation to launch. The game changer is this - AI innovation is becoming more accessible. No-code and low-code AI platforms are democratizing the field, allowing team members with great ideas to become AI innovators, regardless of their technical backgrounds. There are plenty of examples. The AI-powered chatbots are providing constant mental health support. There are AI systems that detect strokes faster than human doctors. It goes beyond technological showcases, and instead transforms entire sectors and improves lives. Sustaining innovation in your team To keep this innovation momentum going, you need to reconsider your approach to team development. It's not just about hiring coders; you need to encourage critical thinking, creativity, and a strong understanding of AI ethics within your team. Look towards educational institutions and partner with them to source the best talent. Use online platforms to find the innovators that aren’t on your radar but are already innovating. But that's just the start. Build a supportive ecosystem within your organization. This might include internal incubators for AI projects, allocating resources for AI ventures, and establishing mentorship programs that understand the specific challenges of AI innovation. Your goal should be to create an environment where AI talent can thrive and drive your company forward. And, please don't just throw money at the problem. Too often I see money being pumped into technology rather than talent. It’s not sustainable. Just look at the recent sell-off in the stock market, fuelled by the mounting skepticism over how much “big tech” can benefit from its vast spending on AI. The benefit comes via the talent that can leverage the tech. Not just the tech itself. Create a culture that embraces risk-taking and isn't afraid of failure. For every AI breakthrough, there might be a dozen that fall short. But that's how innovation works. Build resilience into your support systems, ensuring that you can bounce back from setbacks and keep pushing the boundaries. The future of innovation in your organization Make no mistake, the 10X Makers in your team are going to keep pushing the envelope of what's possible with AI. The best of the best won't just optimize existing processes; they'll create entirely new ones. There is, of course, a catch. With great power comes great responsibility. As your innovators push boundaries, ensure they're not leaving ethics behind. Issues like bias, privacy, and transparency need to be baked into your AI innovation process. It's not just about creating incredible tech - it's about ensuring that tech doesn't backfire on your company. It's up to you to create the right environment for them to thrive. If you are a CTO or a dev lead, it's time for some honest reflection. This isn't a call to blindly jump on the AI bandwagon. Instead, it’s a nudge to think about how AI can enhance your team's capabilities and drive innovation. Are you creating an environment where AI can be leveraged responsibly? Are you balancing the excitement of new AI tools with the ethics, privacy, and long-term impact? It should be less about that quick win, and rather about strategic integration and continuous learning. Consider how you can gradually introduce AI tools to augment your developers' skills, not replace them. Think about the training and support your team might need to become comfortable with AI-assisted development. And, most importantly, keep the dialogue open about the challenges and opportunities AI presents. There is productivity. Then there is AI-powered productivity. I like to call these the “10X Makers”.  While that may be an overused phrase, bear with me. A 10X Maker is the perfect marriage between those who naturally innovate and the AI tools on offer that allow them to create groundbreaking solutions at an unprecedented pace. These individuals - strapped to the rocketship of AI - are the ones who will reshape industries and drive global transformation. You probably already have these in your team. They have visionary thinking, adaptability, and a strong bias for action. They are rarely satisfied with small improvements. Instead, they aim for huge leaps forward. With AI tools at their disposal, they can accelerate every phase of the innovation process from ideation to launch. The game changer is this - AI innovation is becoming more accessible. No-code and low-code AI platforms are democratizing the field, allowing team members with great ideas to become AI innovators, regardless of their technical backgrounds. There are plenty of examples. The AI-powered chatbots are providing constant mental health support. There are AI systems that detect strokes faster than human doctors. It goes beyond technological showcases, and instead transforms entire sectors and improves lives. Sustaining innovation in your team Sustaining innovation in your team To keep this innovation momentum going, you need to reconsider your approach to team development. It's not just about hiring coders; you need to encourage critical thinking, creativity, and a strong understanding of AI ethics within your team. ethics Look towards educational institutions and partner with them to source the best talent. Use online platforms to find the innovators that aren’t on your radar but are already innovating. But that's just the start. Build a supportive ecosystem within your organization. This might include internal incubators for AI projects, allocating resources for AI ventures, and establishing mentorship programs that understand the specific challenges of AI innovation. Your goal should be to create an environment where AI talent can thrive and drive your company forward. And, please don't just throw money at the problem. Too often I see money being pumped into technology rather than talent. It’s not sustainable. Just look at the recent sell-off in the stock market, fuelled by the mounting skepticism over how much “big tech” can benefit from its vast spending on AI . The benefit comes via the talent that can leverage the tech. Not just the tech itself. fuelled by the mounting skepticism over how much “big tech” can benefit from its vast spending on AI fuelled by the mounting skepticism over how much “big tech” can benefit from its vast spending on AI Create a culture that embraces risk-taking and isn't afraid of failure. For every AI breakthrough, there might be a dozen that fall short. But that's how innovation works. Build resilience into your support systems, ensuring that you can bounce back from setbacks and keep pushing the boundaries. The future of innovation in your organization The future of innovation in your organization Make no mistake, the 10X Makers in your team are going to keep pushing the envelope of what's possible with AI. The best of the best won't just optimize existing processes; they'll create entirely new ones. There is, of course, a catch. With great power comes great responsibility. As your innovators push boundaries, ensure they're not leaving ethics behind. Issues like bias, privacy, and transparency need to be baked into your AI innovation process. It's not just about creating incredible tech - it's about ensuring that tech doesn't backfire on your company. It's up to you to create the right environment for them to thrive. If you are a CTO or a dev lead, it's time for some honest reflection. This isn't a call to blindly jump on the AI bandwagon. Instead, it’s a nudge to think about how AI can enhance your team's capabilities and drive innovation. Are you creating an environment where AI can be leveraged responsibly? Are you balancing the excitement of new AI tools with the ethics, privacy, and long-term impact? It should be less about that quick win, and rather about strategic integration and continuous learning. Consider how you can gradually introduce AI tools to augment your developers' skills, not replace them. Think about the training and support your team might need to become comfortable with AI-assisted development. And, most importantly, keep the dialogue open about the challenges and opportunities AI presents.

AI Is Creating the Next Generation of Innovators. Here’s How To Find, and Nurture, Your “10X Makers”

To Interact Better, Interact More for Fun

We live in a world where powerful technological forces such as AI and blockchain are not only shaping our digital destiny but also redefining the boundaries of innovation. A prime example on our radar is DePIN (short for Decentralized Physical Infrastructure Network), an amalgam of web3 ecosystems offering cost-effective solutions to the everyday challenges faced by humans. DePIN empowers a more democratic future for computing power through a vast global network where everyone can participate in a resource-sharing economy. As a peer-to-peer infrastructure, it unlocks efficient distribution of computing resources and allows users to earn rewards for their contributions. This innovation seeks to bridge the gap between the digital and physical worlds through blockchain technology. There have been different groundbreaking DePIN projects such as StorX Network, Drife, Helium Network, Healthblocks, Smartpoints, Airweave, etc. Drife, for example, is not only poised to take Uber and Lyft out of business but it is also set to disrupt the transportation sector. The emergence of DePIN has paved the way for innovators to create cost-effective solutions to the inefficiencies and limitations of the existing critical infrastructure such as transportation, water supply, energy, communication systems, financial services, healthcare, and defense. Most especially, it is set to eliminate centralization and encourage decentralized ownership of these critical services. As an independent researcher, I find DePIN projects fascinating enough to be studied individually. In this article, we explore Aten Krotos (aka Suraj Venkat) and Arthava’s works on  Zero-knowledge Artificial General Intelligence(ZkAGI), an open-source AI project built on DePIN. Leveraging Zero-Knowledge and DePIN, the duo proposed ZkAGI to tackle the privacy concerns in AI. What Are Zero-Knowledge Proofs(ZKPs)? Zero-Knowledge Proofs (ZkPs)are a cryptographic technique that allows one party (the prover) to convince another party (the verifier) that they possess a specific piece of information, without revealing the information itself. In a zero-knowledge system, a prover convinces a verifier they hold a secret without revealing it, using a special proof and verification key. This relatively new field  has become a cornerstone of privacy in the cryptocurrency world, reinventing how sensitive data or information is shared without it being revealed. Since the keypoint about ZK is to share data while preserving privacy, the team made a strong case for extending Zero-knowledge  use case to Artificial Intelligence(AI) within the DePIN ecosystem. As an open-source DePIN project, ZkAGI seeks to tackle the challenge of privacy in AI by combining two cutting-edge technologies: Zero Knowledge (ZK) and Decentralized Physical Infrastructure Network (DePIN). This innovative approach highlights the need for secure and private AI computation on a cost-effective platform. Using a diary analogy, Aten, the CEO and Founder, describes it as “a secret diary where you store important information but the diary not just records thoughts but understands what has to be done and gets it done”! Defining Zero knowledge Artificial General Intelligence(ZkAGI) ZkAGI (Zero-Knowledge Artificial General Intelligence) is an open-source framework that facilitates secure and private AI computation on a decentralized network (DePIN). By integrating federated learning and zero-knowledge proofs, ZkAGI incentivizes all participants – GPU providers, trainers, developers, and data owners – to contribute to a privacy-focused AI ecosystem. Aten (Suraj) the founder and CEO of ZkAGI writes that: “ZkAGI addresses the privacy issue in AI by merging Zero Knowledge (ZK) technology with decentralized GPU infrastructure (DePIN), offering secure and private AI computation on a cost-effective platform.” “Leveraging Zynapse, our ZkML Coprocessor, the API empowers seamless AI operations without exposing sensitive data, making it the prime choice for developers and enterprises seeking privacy-centric AI solutions with high processing speeds and significant cost savings.” Zynapse API As an open-source DePIN project, ZkAGI offers valuable insights into Zynapse, its proposed solution to privacy concerns in AI. According to Aten, Zynapse is a ZkML(Zero Knowledge Machine Learning) Coprocessor, which empowers seamless AI operations without compromising sensitive data. The associate API for Zynapse makes ZkAGI the ideal choice for developers and enterprises seeking privacy-centric solutions, high processing speeds, and cost-effective solutions. The choice for DePIN is justified by the fact that it offers efficient and scalable AI computation and significantly lowers the cost compared to what traditional AI platforms offer. By leveraging Zynapse, the goal is to help “ developers and enterprises unlock the full potential of AI while ensuring the privacy of their data”. Components of Zero-Knowledge Artificial General Intelligence It is crucial to briefly discuss the layers upon which Zero-Knowledge Artificial General Intelligence(ZkAGI) as a DePIN project is built. These layers are the basic building blocks for ZkAGI and they include: DePIN, Zk,Decentralized Data Ownership, Federated Learning and Incentivization. DePIN Aten defines DePIN “as a network of physical infrastructure resources (such as computing power, storage, and networking) that are distributed across various locations rather than being centralized in one data center”,highlighting the fact the this decentralized model offers benefits such as improved fault tolerance, scalability, and reduced latency. Incentivization/Resource-Sharing Experts have identified the key advantage of DePIN projects as their ability to provide token incentives, which helps to boost the supply-and-demand side of it . It is essentially the lifeblood that is sustained by participants who contribute their computing power and users who are in need of it. In the words of Aten: “ZkAGI aims to motivate various stakeholders within the ecosystem. GPU providers are incentivized to contribute their computational resources to the network, model trainers are encouraged to develop and refine AI models, and AI developers are motivated to create innovative applications. These incentives can take various forms, such as financial rewards, access to network resources, or reputation within the community”. Decentralized Data Ownership As the AI landscape continues to expand at a breakneck speed, one major concern that has recently surfaced in AI and data-driven applications is the ownership and privacy of data. According to Aten, solving this challenge through ZkAGI requires “implementing mechanisms to enable data owners retain control over their data while still allowing it to be used for training AI models. This solution may incorporate techniques such as federated learning “where models are trained collaboratively across multiple devices or servers without sharing raw data, and zero-knowledge proofs, which allow parties to prove the validity of a statement without revealing the underlying data” Federated Learning This underscores the role and importance of a machine learning model in the development of ZkAGI as a privacy-centric AI built on a Decentralized Physical Infrastructure Network. Aten describes Federated learning as “a machine learning approach where the training process is decentralized, and individual devices or servers collaboratively train a global model without sharing their raw data”. ZK Proofs As discussed earlier, Zero-knowledge proofs are cryptographic techniques that allow the sharing of sensitive data or information between one party(the prover)and another(the verifier)without revealing its content. In the context of ZkAGI, zero-knowledge proofs can be used to verify the integrity of computations or to attest to the accuracy of AI models without disclosing sensitive data. Conclusion DePIN as a web3 innovation is revolutionizing how we access and share computing power. This shift fuelled by its potential to provide cost-effective solutions has seen the rise of groundbreaking companies such as Drife, a decentralized ride-sharing platform, and StorX Network, a decentralized cloud computing platform. This decentralized approach also empowers a more democratic future for AI. However, the demands for more powerful infrastructure, incentives for stakeholders, and heightened concerns for privacy are growing. The pressing concern over privacy protection in AI gave birth to ZkAGI, an innovative open-source framework poised to reshape AI data privacy within DePIN ecosystem. We live in a world where powerful technological forces such as AI and blockchain are not only shaping our digital destiny but also redefining the boundaries of innovation. A prime example on our radar is DePIN (short for Decentralized Physical Infrastructure Network), an amalgam of web3 ecosystems offering cost-effective solutions to the everyday challenges faced by humans. DePIN DePIN empowers a more democratic future for computing power through a vast global network where everyone can participate in a resource-sharing economy. As a peer-to-peer infrastructure, it unlocks efficient distribution of computing resources and allows users to earn rewards for their contributions. This innovation seeks to bridge the gap between the digital and physical worlds through blockchain technology. There have been different groundbreaking DePIN projects such as StorX Network, Drife, Helium Network, Healthblocks, Smartpoints, Airweave, etc. Drife, for example, is not only poised to take Uber and Lyft out of business but it is also set to disrupt the transportation sector. The emergence of DePIN has paved the way for innovators to create cost-effective solutions to the inefficiencies and limitations of the existing critical infrastructure such as transportation, water supply, energy, communication systems, financial services, healthcare, and defense. Most especially, it is set to eliminate centralization and encourage decentralized ownership of these critical services. As an independent researcher, I find DePIN projects fascinating enough to be studied individually. In this article, we explore Aten Krotos (aka Suraj Venkat) and Arthava’s works on  Zero-knowledge Artificial General Intelligence(ZkAGI), an open-source AI project built on DePIN. Leveraging Zero-Knowledge and DePIN, the duo proposed ZkAGI to tackle the privacy concerns in AI. What Are Zero-Knowledge Proofs(ZKPs)? Zero-Knowledge Proofs (ZkPs)are a cryptographic technique that allows one party (the prover) to convince another party (the verifier) that they possess a specific piece of information, without revealing the information itself. In a zero-knowledge system, a prover convinces a verifier they hold a secret without revealing it, using a special proof and verification key. Zero-Knowledge Proofs This relatively new field  has become a cornerstone of privacy in the cryptocurrency world, reinventing how sensitive data or information is shared without it being revealed. Since the keypoint about ZK is to share data while preserving privacy, the team made a strong case for extending Zero-knowledge  use case to Artificial Intelligence(AI) within the DePIN ecosystem. As an open-source DePIN project, ZkAGI seeks to tackle the challenge of privacy in AI by combining two cutting-edge technologies: Zero Knowledge (ZK) and Decentralized Physical Infrastructure Network (DePIN). This innovative approach highlights the need for secure and private AI computation on a cost-effective platform. Using a diary analogy, Aten, the CEO and Founder, describes it as “a secret diary where you store important information but the diary not just records thoughts but understands what has to be done and gets it done”! Defining Zero knowledge Artificial General Intelligence(ZkAGI) ZkAGI (Zero-Knowledge Artificial General Intelligence) is an open-source framework that facilitates secure and private AI computation on a decentralized network (DePIN). By integrating federated learning and zero-knowledge proofs, ZkAGI incentivizes all participants – GPU providers, trainers, developers, and data owners – to contribute to a privacy-focused AI ecosystem. Aten (Suraj) the founder and CEO of ZkAGI writes that: “ZkAGI addresses the privacy issue in AI by merging Zero Knowledge (ZK) technology with decentralized GPU infrastructure (DePIN), offering secure and private AI computation on a cost-effective platform.” “Leveraging Zynapse, our ZkML Coprocessor, the API empowers seamless AI operations without exposing sensitive data, making it the prime choice for developers and enterprises seeking privacy-centric AI solutions with high processing speeds and significant cost savings.” Zynapse API As an open-source DePIN project, ZkAGI offers valuable insights into Zynapse, its proposed solution to privacy concerns in AI. According to Aten, Zynapse is a ZkML(Zero Knowledge Machine Learning) Coprocessor, which empowers seamless AI operations without compromising sensitive data. The associate API for Zynapse makes ZkAGI the ideal choice for developers and enterprises seeking privacy-centric solutions, high processing speeds, and cost-effective solutions. The choice for DePIN is justified by the fact that it offers efficient and scalable AI computation and significantly lowers the cost compared to what traditional AI platforms offer. By leveraging Zynapse, the goal is to help “ developers and enterprises unlock the full potential of AI while ensuring the privacy of their data”. Components of Zero-Knowledge Artificial General Intelligence It is crucial to briefly discuss the layers upon which Zero-Knowledge Artificial General Intelligence(ZkAGI) as a DePIN project is built. These layers are the basic building blocks for ZkAGI and they include: DePIN, Zk,Decentralized Data Ownership, Federated Learning and Incentivization. DePIN Aten defines DePIN “as a network of physical infrastructure resources (such as computing power, storage, and networking) that are distributed across various locations rather than being centralized in one data center”,highlighting the fact the this decentralized model offers benefits such as improved fault tolerance, scalability, and reduced latency. Incentivization/Resource-Sharing Experts have identified the key advantage of DePIN projects as their ability to provide token incentives, which helps to boost the supply-and-demand side of it . It is essentially the lifeblood that is sustained by participants who contribute their computing power and users who are in need of it. In the words of Aten: “ZkAGI aims to motivate various stakeholders within the ecosystem. GPU providers are incentivized to contribute their computational resources to the network, model trainers are encouraged to develop and refine AI models, and AI developers are motivated to create innovative applications. These incentives can take various forms, such as financial rewards, access to network resources, or reputation within the community”. Decentralized Data Ownership As the AI landscape continues to expand at a breakneck speed, one major concern that has recently surfaced in AI and data-driven applications is the ownership and privacy of data. According to Aten, solving this challenge through ZkAGI requires “implementing mechanisms to enable data owners retain control over their data while still allowing it to be used for training AI models. This solution may incorporate techniques such as federated learning “where models are trained collaboratively across multiple devices or servers without sharing raw data, and zero-knowledge proofs, which allow parties to prove the validity of a statement without revealing the underlying data” Federated Learning This underscores the role and importance of a machine learning model in the development of ZkAGI as a privacy-centric AI built on a Decentralized Physical Infrastructure Network. Aten describes Federated learning as “a machine learning approach where the training process is decentralized, and individual devices or servers collaboratively train a global model without sharing their raw data”. ZK Proofs As discussed earlier, Zero-knowledge proofs are cryptographic techniques that allow the sharing of sensitive data or information between one party(the prover)and another(the verifier)without revealing its content. In the context of ZkAGI, zero-knowledge proofs can be used to verify the integrity of computations or to attest to the accuracy of AI models without disclosing sensitive data. Conclusion DePIN as a web3 innovation is revolutionizing how we access and share computing power. This shift fuelled by its potential to provide cost-effective solutions has seen the rise of groundbreaking companies such as Drife, a decentralized ride-sharing platform, and StorX Network, a decentralized cloud computing platform. This decentralized approach also empowers a more democratic future for AI. However, the demands for more powerful infrastructure, incentives for stakeholders, and heightened concerns for privacy are growing. The pressing concern over privacy protection in AI gave birth to ZkAGI, an innovative open-source framework poised to reshape AI data privacy within DePIN ecosystem.

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