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

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

Everyone is experimenting with ChatGPT, even crypto exchanges.

Coinbase has experimented with artificial intelligence to see how correctly #ChatGPT could do a token security review—a requirement for all tokens listed on the exchange.

After reviewing 20 different smart contracts, the mega-popular #ai tool produced the same conclusions as the manual assessment 12 times.

Unfortunately, five of the eight misses occurred when ChatGPT mislabeled a high-risk asset as low-risk, which is the worst-case failure.

The investigation also indicated that the AI delivered inconsistent results, with the same prompt producing varied outputs, particularly when switching from one ChatGPT iteration to the next.

Still, the Coinbase team is optimistic that with more rapid engineering, they may improve ChatGPT's accuracy to the point where it can be utilized as a secondary quality assurance check. Spokeswoman told Decrypt:

"We are not shocked because such smart contracts may also be automatically reviewed by [other traditional programming] tools," a BlockSec, a blockchain security infrastructure provider.Unfortunately, it cannot work for complex business logic, which are the key attack surfaces and flaws that smart contract audits should concentrate on."

Several security specialists in the crypto-security area agreed with Coinbase's confidence about employing the tool for extra reassurance. Independent security researcher Officer's Notes via Twitter said:

"At this moment, it [AI] cannot replace a person, but it is an invaluable aid, including for fatigued or inattentive auditors, I believe that in the future, Q/A [quality assurance] and fuzzing will be unable to function without AI technologies."

Engineers Are Being Replaced By ChatGPT

Though cautious, the blockchain security industry appears to be open to the possibility of implementing AI capabilities.

Yet, in The future, may AI replace manual security auditors?

Certik's head of solutions architecture Connie Lam told Decrypt via email:

"Perhaps one day we'll get to that point, but we're still a long way off. What's more likely is a complementary approach. There are some things humans do better than machines and vice versa. Tools help us build new things, but they don't replace us. The invention of the calculator didn't make accountants obsolete, it made them better at their job."

For the time being, however, non-AI security solutions are significantly more useful than anything new on the market for locating vulnerabilities. An OpenZeppelin official told Decrypt:

"Existing security audit methods are still superior to OpenAI. They're testing it for listing ERC-20 tokens, which is a well-known pattern, making it more ideal for automation."

But, this could change.

The significant advancements shown between ChatGPT 3.5 and ChatGPT 4 are apparent, implying that future enhancements will continue to impress.

Integrating these tools should be "encouraged" as they do so.

Lam added:

"Using ChatGPT during the development phase should be encouraged; it's a strong tool, and refusing to work with it and learn what it can do would be a setback. ChatGPT is also a highly effective tool for searching for information and creating a knowledge hub, allowing users to easily comprehend complex issues and stay up to date on the most recent security information."

This news is republished from https://coinaquarium.io/

Elon Musk plans to create an alternative to OpenAI's ChatGPT and has contacted AI researchers, including former Alphabet DeepMind employee, Igor Babuschkin. This decision was taken after Open AI became a closed-source, for-profit organization.

However, Musk’s idea is in its early stages, and there is no clear plan to develop any particular products. Babuschkin stated that Musk is not looking to build a chatbot with fewer content safeguards. It would be interesting to see what Elon is planning for the future of AI.

#Crypto2023 #ElonMuskTwitter #ChatGPT #coingabbar

Immerse yourself in the epicenter of 2023—a time where generative AI has taken center stage, transforming how we perceive and interact with technology. The visionary creation of OpenAI, #ChatGPT , is the prime driver of this revolution. But that's not all—enter the expanding realm of ChatGPT Plus plugins, a game-changer that's poised to supercharge your crypto analysis abilities.

A Snapshot of ChatGPT's Exciting Journey

The advent of ChatGPT was marked by OpenAI in November 2022.

The next milestone was reached in February 2023 with the launch of ChatGPT Plus—a subscription plan that gave subscribers accelerated response times and priority access to a host of new features, all for just $20 a month.

March 2023 saw the unveiling of GPT-4, a highly-performant iteration of its language model series, accessible to ChatGPT Plus users.

March also brought the exciting introduction of plugins, purpose-built to extend the capabilities of ChatGPT by facilitating interaction with diverse software and services.

Your Starter Pack: Three Essential ChatGPT #Crypto Plugins

As you set foot in the Plugin store, the myriad options might be overwhelming. Here are three crypto plugins that are set to redefine your analytical approach:

SignalPlus:

This plugin is a treasure trove of live data on crypto, NFTs, DeFi, and Spot/derivatives. It's an invaluable tool for traders keen on in-depth NFT data analysis.

Prompt Examples For SignalPlus:

"Compare the number of unique holders that the Cool Cats and Doodles collections currently have."

"Which collection had more trading volume over the past 24 hours, Mutant Ape Yacht Club or #DeGods ?"

CheckTheChain:

Crafted by Ross Campbell, this plugin is your gateway to comprehensive blockchain data exploration. Looking for the transaction ID of the first transaction sent to a specific ENS owner? Look no further.

Prompt Examples For CheckTheChain:

"How many transactions has the vitalik.eth address made to date?"

"Can you provide me with a summary of the transaction history for the ben.eth address?"

#DeFiLlama :

Conceived by 0xKofi for DeFiLlama, this plugin enables you to dive deep into DeFi protocol stats, from historical TVL changes to recent L2 bridging flows.

Prompt Examples For DeFiLlama:

"Provide an overview on on-chain growth across DeFi over the past 24 hours."

"Which DeFi protocols are generating the most revenue right now?"

But don't stop here. Explore different combinations and unlock the full potential of your ChatGPT Plus subscription.

Conclusion

The ChatGPT plugin ecosystem is just beginning to unfurl its wings, and the opportunities it harbors are boundless. It's time to hone your crypto analytics skills, and with each experiment, you're one step closer to crypto mastery. Welcome to #crypto2023 , where innovation and growth intertwine, and where you, powered by ChatGPT plugins, stand poised to take the crypto world by storm.

Solana Foundation integrates AI with ChatGPT plugin for enhanced understanding of Solana's blockchain data and protocols, available on GitHub.

On May 23, the #Solana Foundation, a decentralized nonprofit organization dedicated to the development and maintenance of the Solana blockchain, made an announcement about the integration of artificial intelligence (AI) into their platform. Solana Labs, the team behind Solana, developed a #ChatGPT plugin, which is now available for download on GitHub. This plugin aims to facilitate a better understanding of Solana's data, protocols, computing infrastructure, and DeFi projects.

The current capabilities of the ChatGPT plugin include features such as purchasing nonfungible tokens (NFTs), transferring tokens, inspecting transactions, interpreting public account data, and discovering #NFT collections based on floor prices on the Solana network. This integration reflects the growing importance of incorporating AI models into consumer-oriented applications.

CEO Anatoly Yakovenko Drives Solana's AI Integration, Grants Increase to $10M

Anatoly Yakovenko, co-founder of Solana, emphasized the need for developers to consider how their applications will interact with AI models, as it represents a new way of instructing computers. To encourage further exploration of the intersection between Solana and AI, the Solana Foundation has increased its funding for grants in this area from $1 million to $10 million. The grants program has already received 50 applications.

In addition, the Solana Foundation has launched a three-month accelerator program for university students, focusing on blockchain and AI. The program received numerous applications, and its AI cohort has already produced an "ask Solana U" chatbot.

Within the Solana ecosystem, Hivemapper introduced AI Trainers, which convert real-world imagery into detailed digital maps covering aspects like speed limits and warning signs. Since its launch, Solana developers claim that 5.7 million AI training reviews have been initiated by protocol contributors, resulting in consensus for 500,000 objects.

Overall, Solana's integration of AI through the ChatGPT plugin and its increased focus on blockchain-AI intersection grants and accelerator programs highlight the platform's commitment to exploring the potential of AI in the context of its blockchain ecosystem.