The XRP community is abuzz with excitement following a proposal urging SBI Holdings to implement a significant XRP buyback initiative. This proposal, introduced by GAM Investments, suggests allocating a portion of SBI’s assets to establish an XRP reserve.
According to a projection by AI chatbot ChatGPT, such a move could push XRP’s price to double digits, reaching as high as $15 in the most optimistic scenario.
GAM Investments’ Proposal
Recently, GAM Investments, a stakeholder in SBI Holdings, highlighted concerns regarding the undervaluation of SBI’s Ripple-related assets. As previously reported by Times Tabloid, GAM pointed out that SBI has not effectively utilized its investment in Ripple or XRP to deliver maximum value to shareholders.
GAM attributed this to SBI’s unclear crypto strategy and inadequate communication with investors. According to GAM, SBI’s 8–9% ownership stake in Ripple and its indirect control over a significant portion of XRP through Ripple, represents a largely untapped opportunity. GAM noted that this stake alone could exceed SBI’s current market capitalization.
To unlock this potential, GAM proposed that SBI establish an XRP reserve. According to GAM, this approach could deliver better value to shareholders than conventional methods such as cash dividends.
ChatGPT’s XRP Price Projections
To gauge the potential impact of such a reserve on XRP’s price, ChatGPT was asked to analyze various scenarios. The chatbot assessed the possible outcomes if SBI allocated 5%, 10%, or 20% of its assets to XRP reserves.
As of March 2024, SBI’s total assets were valued at approximately ¥27.2 trillion, equivalent to $175.1 billion. Based on XRP’s circulating supply of about 57.45 billion tokens and an average price of $2.35 per token, ChatGPT calculated the potential market effects under different allocation percentages.
If SBI allocates 5% of its assets—approximately $8.75 billion—to XRP, it could acquire around 3.72 billion tokens, representing about 6.5% of the circulating supply. ChatGPT projected that such a large-scale purchase could double XRP’s price, driving it to the $4.50–$5.00 range, depending on market liquidity.
A 10% allocation, involving $17.5 billion, would enable SBI to buy approximately 7.45 billion XRP tokens or 13% of the circulating supply. ChatGPT suggested this could push XRP prices to $7.00–$8.00.
In the most aggressive scenario, where 20% of SBI’s assets are allocated to XRP, approximately $35 billion would be injected into the market. This could secure 14.89 billion tokens, equivalent to 26% of the circulating supply.
ChatGPT projected that such a massive reduction in available XRP could drive its price to $10.00–$15.00, depending on market conditions and liquidity constraints.
Prospects for Implementation
While GAM’s proposal is compelling, whether SBI will act on it remains uncertain. The ultimate decision depends on factors such as GAM’s influence over other stakeholders and its ability to convince SBI’s leadership to adopt the strategy.
XRP community member WrathofKahneman highlighted the importance of GAM’s stake in SBI and its potential to sway other investors. However, even if SBI chooses to implement the plan, there is no guarantee that the price projections outlined by ChatGPT will materialize. Variables such as overall market conditions, liquidity, and seller resistance would play critical roles in determining the outcome.
⚠️Disclaimer
This content aims to enrich readers with information. Always conduct independent research and use discretionary funds before investing. All buying, selling, and crypto asset investment activities are the responsibility of the reader.

#ChatGPT #XRP

Volatility continues to dominate the #cryptocurrency market in 2024, with recent developments further adding to the turbulence. Both crypto and stock markets reacted sharply to the Federal Reserve’s revised 2025 outlook, which hinted at fewer rate cuts and higher inflation expectations. 
#Bitcoin  (BTC) fell below $100,000, and liquidations surged to approximately $850 million within just 24 hours, reflecting heightened investor concerns.
Amid this growing uncertainty, investors are increasingly turning to #altcoins as a way to diversify their portfolios and tap into potential growth. With 2025 on the horizon, coindatacap analyzed market trends and consulted ChatGPT-4o to spotlight two altcoins with significant growth potential.
#ChatGPT identifies 2 altcoins for 2025 portfolio
When queried, the AI model highlighted XRP and Hedera (HBAR) as standout assets, offering promising opportunities for building a diversified and resilient portfolio in the dynamic cryptocurrency landscape.
Hedera (HBAR)
ChatGPT projected HBAR as a key player in the digital asset space, citing its partnerships and ecosystem expansions. One notable development is its integration with Chainlink’s $LINK decentralized oracles, which brings Chainlink’s data feeds and Proof of Reserve mechanisms to Hedera. 
This collaboration enhances the infrastructure for decentralized finance (DeFi) applications by providing developers with tamper-proof market data. 
ChatGPT observed that this integration reduces risks like data manipulation and strengthens liquidity in DeFi markets.

The AI also pointed to Hedera’s partnership with RedSwan CRE, a commercial real estate tokenization platform, as a critical driver of HBAR’s adoption. By enabling access to tokenized real estate, this collaboration is expected to drive HBAR’s adoption and utility among investors.
The tool also emphasized the growing optimism surrounding cryptocurrency #ETFs . Analysts suggest Hedera could secure ETF approval, particularly with the potential appointment of pro-crypto advocate Paul Atkins as the next SEC Chair. 
Hedera’s classification outside the realm of securities positions it as a strong contender for regulatory approval.
$HBAR
At press time, HBAR is trading at $0.26, reflecting a one-day loss of 7.7% but a notable one-month gain of 110%.At press time, HBAR is trading at $0.26, reflecting a one-day loss of 7.7% but a notable one-month gain of 110%.
XRP
The artificial intelligence model pointed to Ripple Labs’ recent developments as critical for XRP’s potential growth. The approval of RLUSD, Ripple’s stablecoin pegged to the U.S. dollar, expands its ecosystem and utility, making it an attractive choice for both institutional and retail investors.
Regulatory optimism also boosts XRP’s outlook. The potential replacement of SEC Chair Gary Gensler with Paul Atkins, a pro-crypto figure, could lead to the dismissal of the SEC’s lawsuit against Ripple Labs, removing a major regulatory hurdle.

The AI tool highlighted how such a shift could catalyze a renewed wave of institutional adoption and strengthen XRP’s market position.
$XRP
Currently, XRP is trading at $2.21, with a one-day decline of 6.01% but a remarkable one-month gain of 110%.
With strong fundamentals, institutional backing, and thriving ecosystems, both HBAR and XRP stand out as prime candidates for exponential growth. 
These assets are set to become essential additions to a well-diversified cryptocurrency portfolio, offering significant opportunities in the evolving digital asset space.
Disclaimer ||
The Information provided on this website article does not constitute investment advice,financial advice,trading advice,or any other sort of advice and you should not treat any of the website’s content as such.
Always do your own research! DYOR NFA
Coin Data Cap does not recommend that any cryptocurrency should be bought, sold or held by you, Do Conduct your own due diligence and consult your financial adviser before making any investment decisions!

Coinbase has conducted an experiment to assess the accuracy of the artificial intelligence language model, ChatGPT, developed by OpenAI, in detecting security vulnerabilities in smart contracts.

The Blockchain Security team at Coinbase compared ChatGPT’s risk score results for 20 smart contracts to those obtained from a manual security review, with the goal of determining whether ChatGPT could be integrated into the security review process. The test revealed that ChatGPT produced the same results as the manual review 12 times. However, in the remaining eight cases, ChatGPT failed to identify a high-risk asset, and five of these were labeled low-risk.

ChatGPT is a promising tool for improving productivity across a wide range of development and engineering tasks, including optimizing code and identifying vulnerabilities, among other things, based on the prompts it is given. However, while ChatGPT shows potential for quickly assessing smart contract risks, it does not meet the accuracy requirements needed to be integrated into Coinbase’s security review process.

The Blockchain Security team leverages in-house automation tools developed to aid security engineers in reviewing ERC20/721 smart contracts at scale. To test ChatGPT’s ability to review security risks in smart contracts, the team fed the tool with a prompt that specified the risk review framework to be used to compare the results to those obtained from the manual review. However, the team noted that ChatGPT did not have the context or information required to perform a response that could be compared to the manual review. Therefore, Coinbase had to teach ChatGPT to identify risks according to the security review framework.

Prompt engineering, a developing AI field, played a significant role in ensuring ChatGPT produced the intended results. The team had to articulate how the task should be performed or handled to obtain the intended results. Using the prompt engineered by Coinbase, ChatGPT produced risk scores that were used to compare the tool’s accuracy to that of a manual review.

Despite the efficiency of ChatGPT, the experiment revealed some limitations that impair the tool’s accuracy. ChatGPT is incapable of recognizing when it lacks context to perform a robust security analysis, resulting in coverage gaps where additional dependencies go unreviewed. An initial triage would be required to scope the review for the tool each time to prevent coverage gaps. ChatGPT is also inconsistent, as the same question may receive different answers, and the tool can be influenced by comments in the code.

Finally, OpenAI continues to iterate on ChatGPT, and Coinbase is optimistic that future versions of the tool may be more effective in identifying security vulnerabilities in smart contracts.

#Coinbase #COIN #ChatGPT #AI #azcoinnews

This article was republished from azcoinnews.com

Former Coinbase CTO Balaji Srinivasan has recently made a bold bet on Bitcoin’s price, predicting that the cryptocurrency will reach $1 million within the next 90 days. As Bitcoin continues to attract attention from investors and the mainstream media, many are wondering if such a scenario is even possible.

To shed some light on the issue, we spoke with ChatGPT, an AI language model trained by OpenAI, to explore some of the potential scenarios that could cause Bitcoin’s price to surge to such a high level in such a short period of time.

According to ChatGPT, one of the most significant factors that could drive up the price of Bitcoin is massive institutional investment. If large financial institutions, such as pension funds or hedge funds, start investing significant amounts of money into Bitcoin, it could create a surge in demand and drive up the price. This type of investment would not only bring new capital into the market, but it would also bring credibility and legitimacy to Bitcoin, which could attract even more investors.

Another potential scenario is if Bitcoin becomes a global reserve currency, similar to the US dollar. As countries around the world start to hold Bitcoin in their reserves, it could cause the price to skyrocket. This scenario would require a significant shift in the global economic order, but it is not entirely impossible.

Economic uncertainty is another factor that could lead to a price increase. If there is a global economic crisis or inflationary pressure, investors may turn to Bitcoin as a safe haven asset. As demand for Bitcoin increases, so too will the price.

Additionally, if more businesses and individuals start using Bitcoin for everyday transactions, it could lead to a surge in demand and a rise in price. As more people start using Bitcoin as a store of value and a means of payment, it could also become more widely accepted, which would create a positive feedback loop that drives up the price even further.

Lastly, the halving event, which happens every four years, could also contribute to a surge in Bitcoin’s price. During this event, the reward for mining Bitcoin is cut in half, reducing the supply of new Bitcoin entering the market. This event has historically led to price increases in Bitcoin. If the halving coincides with other bullish factors, it could create a perfect storm that drives the price to new heights.

It is important to note, however, that predicting the future price of Bitcoin is extremely difficult and highly speculative. Investing in Bitcoin carries significant risks, and it is crucial to conduct thorough research and seek professional advice before making any investment decisions.

In conclusion, Balaji Srinivasan’s bet on Bitcoin reaching $1 million within the next 90 days may seem unlikely, but there are potential scenarios that could cause such a surge in price. As always, caution and prudence should be exercised when investing in cryptocurrencies.

#ChatGPT #GPT-4 #Bitcoin #Coinbase #azcoinnews

This article was republished from azcoinnews.com