Day: 3 October 2024

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Bitwise files for first-ever spot XRP ETF

XRP ETF

Bitwise Asset Management, a prominent player in the cryptocurrency investment space, has recently made headlines with its filing for a spot XRP exchange-traded fund (ETF) with the U.S. Securities and Exchange Commission (SEC).

This move marks a significant milestone as it is the first attempt to create an ETF specifically for XRP, the native token of the XRP Ledger.

The proposed Bitwise XRP ETF aims to provide investors with direct exposure to XRP through traditional brokerage accounts. This will make it easier for both institutional and retail investors to gain access to this digital asset. Bitwise’s decision to pursue an XRP ETF underscores the growing recognition of XRP’s potential and its established presence in the cryptocurrency market.

Bitwise is no stranger to the ETF landscape, having successfully launched Bitcoin and Ethereum ETFs in the past. The company’s experience and reputation in managing crypto assets lend credibility to this new venture. However, the approval process for the XRP ETF is expected to be rigorous, given the SEC’s cautious approach to cryptocurrency-related financial products.

The filing comes at a time when the cryptocurrency market is experiencing increased interest from mainstream investors. XRP, known for its fast transaction speeds and low fees, has been a popular choice for cross-border payments and remittances. If approved, the Bitwise XRP ETF could attract a new wave of investors looking to diversify their portfolios with digital assets.

While the SEC’s decision is still pending, the filing itself is a testament to the evolving landscape of cryptocurrency investments. There is a growing acceptance of digital assets in traditional financial markets. Investors and crypto enthusiasts alike will be watching closely as this development unfolds.

Others will likely follow suit.

XRP 7-day chart from CoinMarketCap

Note the timing of the ETF announcement and the subsequent drop in XRP price.

XRP 7-day chart from CoinMarketCap. Note the timing of the ETF announcement and the subsequent drop in XRP price.

Note: article written by AI

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Meta reportedly to use the voice of Dame Judi Dench for its celebrity AI Chatbot

Chatbot with celebrity voices

Meta, the parent company of Instagram, has announced that voices of Dame Judi Dench and John Cena will be available as options for its AI chatbot.

Moreover, users can access information through AI representations of celebrities such as Awkwafina, Keegan-Michael Key, and Kristen Bell. Meta is hopeful that this new endeavour with celebrity chatbots will surpass the success of its previous attempts. In September 2023, Meta introduced AI chatbots featuring the ‘personalities’ of celebrities including Kendall Jenner and Snoop Dogg, but the project was terminated within a year.

At Meta’s annual Connect conference, CEO Mark Zuckerberg announced the new celebrity chatbot project, remarking, ‘Interacting with AI through voice will be more intuitive than through text.‘ The enhanced ChatGPT-style chatbot will also be capable of recognizing objects in images and providing relevant details. Additionally, a novel image editing tool will allow users to alter photos by simply directing the Meta AI with their requests.

Meta has disclosed that its AI now reaches over 400 million people monthly, with 185 million engaging weekly.

Meta one-year chart as of 2nd October 2024

Meta one-year chart as of 2nd October 2024
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Tesla misses delivery estimates – stock drops

Tesla EV

Tesla posted its third-quarter vehicle production and deliveries report on Wednesday 2nd October 2024 – the stock fell 3.7%.

Total deliveries Q3 2024: 462,890 – Total production Q3 2024: 469,796

Analysts had projected Tesla would deliver 463,310 vehicles by the end of September 2024. However, other sources indicated a larger shortfall; the average analyst predictions were at 469,828 vehicles, while an independent researcher known as ‘Troy Teslike,‘ popular among Tesla enthusiasts, estimated 472,000 deliveries for the quarter.

Comparatively, Tesla reported 435,059 deliveries and 430,488 EVs produced in the same period last year. In the previous quarter, the company achieved 443,956 deliveries and produced 410,831 vehicles.

In the U.S., competitors such as Rivian are advancing, and traditional automakers like Ford and General Motors are increasing their electric vehicle sales, albeit scaling back earlier electrification targets.

Ford announced a 12% increase in EV sales for the third quarter, totaling 23,509 vehicles on Wednesday 2nd October 2024.

General Motors reported a 60% rise in EV sales for the same quarter compared to the previous year, with 32,100 units sold, which represents 4.9% of its total sales volume.

Tesla’s reputation in the U.S. has faced challenges, partly due to CEO Elon Musk’s controversial actions, including endorsing former President Donald Trump and disseminating what has reportedly been described by the White House as ‘racist hate“, along with alleged misinformation about immigration and election fraud on X, his social media platform.

Despite these issues, Tesla remains the leading seller of battery electric vehicles in the U.S., with Hyundai trailing significantly behind.

Tesla -year chart as of 2nd October 2024

Tesla -year chart as of 2nd October 2024
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What is China’s equivalent to Nvidia?

AI microchips

Chinese firms are reportedly intensifying their efforts to develop a competitive alternative to Nvidia’s AI chips, as part of Beijing’s ongoing initiative to reduce its reliance on U.S. technology.

China faces several challenges that are impeding its technological progress, including U.S. export restrictions that limit domestic semiconductor production. The lack of technical expertise is also reported to be a problem.

Analysts have identified companies including Huawei as the principal competitors to Nvidia in China

China’s counterparts to Nvidia, such as Huawei, Alibaba, and Baidu, are actively developing AI chips to compete in the same market. Huawei’s HiSilicon division is known for its Ascend series of data centre processors.

Huawei’s HiSilicon division is known for its Ascend series of data centre processors, and Alibaba’s T-Head has produced the Hanguang 800 AI inference chip. Other significant players include Biren Technology and Cambricon Technologies.

Alibaba’s T-Head has developed the Hanguang 800 AI inference chip. Other significant players include Biren Technology and Cambricon Technologies.

These Chinese firms are intensifying their efforts to create alternatives to Nvidia’s AI-powering chips. This is a big part of Beijing’s broader initiative to reduce its reliance on U.S. technology.

Nvidia’s surge in growth is attributed to the demand from major cloud computing companies for its server products, which incorporate graphics processing units, or GPUs.

These GPUs are crucial for entities like OpenAI, the creator of ChatGPT, which requires substantial computational power to train extensive AI models on large datasets.

AI models are crucial for chatbots and other AI applications

Since 2022, the U.S. has limited the export of Nvidia’s top-tier chips to China, with further restrictions imposed last year.

The U.S. sanctions and Nvidia’s market dominance pose significant obstacles to China’s ambitions, particularly in the short term, according to analysts. The U.S. has curbed the export of Nvidia’s most sophisticated chips to China since 2022, with increased restrictions implemented last year.

China’s GPU designers rely on external manufacturers for chip production. Traditionally, this role was filled by Taiwan Semiconductor Manufacturing Co. (TSMC). However, due to U.S. restrictions, many Chinese firms are now unable to procure chips from TSMC.

As a result, they have shifted to using SMIC, China’s largest chipmaker, which is technologically several generations behind TSMC. This gap is partly due to Washington’s limitations on SMIC’s access to essential machinery from the Dutch company ASML, necessary for producing the most advanced chips.

Huawei is driving the development of more sophisticated chips for its smartphones and AI, which occupies a significant portion of SMIC’s capacity.

Nvidia has achieved success not only through its advanced semiconductors but also via its CUDA software platform. The system enables developers to build applications for Nvidia’s hardware. This has fostered an ecosystem around Nvidia’s designs, which will be challenging for competitors to emulate.

Huawei leading the pack for China

Huawei is at the forefront as a leading force in China for its Ascend series of data centre processors. The current generation, named Ascend 910B, is soon to be succeeded by the Ascend 910C. This new chip may come to rival Nvidia’s H100.