Tech
Coinbase Executive Unveils ChatGPT’s Crypto Predictions for 2035

Coinbase’s Head of Business Operations, Conor Grogan, unveiled a series of cryptocurrency predictions made by artificial intelligence tool ChatGPT on April 30, claiming to have discovered a “jailbreak”.
I found a jailbreak for GPT I’m calling JAMES
-Predicts the future for ANY topic (even guesses when people might die based on its training set)
-Quantitatively assesses confidence on any topic (including conspiracy theories)
-May help researchers better find bias and align AI? pic.twitter.com/jqTcNbCT2d— Conor (@jconorgrogan) April 30, 2023
Grogan maintained that ChatGPT can calculate the probability of crypto price scenarios. On April 30, Grogan shared a screenshot showing ChatGPT’s predictions, which include a 15% chance of Bitcoin becoming irrelevant and witnessing a 99.99% price drop by 2035.
However, the AI tool assigned a 20% probability to Ethereum (ETH) becoming irrelevant with near-zero price levels by 2035. Litecoin and Dogecoin were assigned probabilities of 35% and 45% respectively, for their prices to drop to near zero.
Grogan concluded that ChatGPT is generally a fan of Bitcoin but remains more skeptical about altcoins.
GPT is generally a big fan of Bitcoin; more skeptical of altcoins and their staying power pic.twitter.com/E9sUQ8AVvD
— Conor (@jconorgrogan) April 30, 2023
Meanwhile, Grogan reiterated the fact that he repeatedly tested the process over 100 times on GPT-3.5 and GPT-4 with wiped memory, resulting in very consistent numbers and the same results.
I ran this prompt 100 times on a wiped memory GPT 3.5 and 4 and GPT would return very consistent numbers; standard deviation was <10% in most cases, and directionally it was extremely consistent
— Conor (@jconorgrogan) April 30, 2023
It should be noted that this is not Grogan’s first time experimenting with crypto-related issues using ChatGPT.
Grogan’s Earlier Experiment with ChatGPT
Earlier on March 15, Conor Grogan demonstrated how GPT-4, the latest version of ChatGPT, could identify security vulnerabilities in Ethereum smart contracts and provide outlines for exploiting faulty contracts.
I dumped a live Ethereum contract into GPT-4.
In an instant, it highlighted a number of security vulnerabilities and pointed out surface areas where the contract could be exploited. It then verified a specific way I could exploit the contract pic.twitter.com/its5puakUW
— Conor (@jconorgrogan) March 14, 2023
He further stated that OpenAI, the team behind ChatGPT, has conducted studies showing that GPT-4 can pass high school tests and law school exams with scores in the 90th percentile.
Amid the increasing adoption of the artificial intelligence tool, some countries have imposed an outright ban on ChatGPT. For instance, the Italian authorities have imposed a ban on the AI due to privacy concerns.
More than any other time, the benefits of the AI tool should be applied in addressing crypto hacks and scams such as security measures, rigorous auditing, and a proactive approach to surmounting vulnerabilities in the crypto space.
This will likely restore sanity and confidence in the cryptocurrency space in general.
The post Coinbase Executive Unveils ChatGPT’s Crypto Predictions for 2035 appeared first on The Cryptocurrency Post.
Tech
Donut Browser: An AI-Powered Browser for Blockchain Transactions

TL;DR
- Donut Labs raised $7 million to build a crypto browser powered by AI agents capable of autonomously executing blockchain transactions.
- The project will integrate a native wallet, decentralized exchange, and on-chain execution within a single interface, backed by Sequoia and Bitkraft.
- The plan is to add payments, gaming, and social features, aiming to turn the browser into a decentralized personal financial assistant.
Donut Labs secured $7 million in a pre-seed funding round to develop a crypto browser enhanced with artificial intelligence.
The tool, called Donut, aims to transform how users interact with decentralized applications and digital financial services. Unlike traditional browsers, Donut integrates AI agents that understand user intent and autonomously carry out blockchain operations, such as token swaps, yield farming strategies, or portfolio adjustments.
https://twitter.com/DonutBrowser/status/1928084510815703378
The funding round was backed by Sequoia, Bitkraft, and HackVC, along with angel investors linked to Solana and other projects in the sector. With these funds, the company plans to develop a browser featuring a native wallet, built-in decentralized exchange, and on-chain transaction execution, all accessible through a single interface.
Chris Zhu, founder and CEO of Donut Labs, pointed out that today’s browsers haven’t evolved at the pace of digital financial applications. His team is working to redesign the browsing experience, delivering secure, automated operations through AI. These AI agents can interpret complex information, assess risks in real time, and translate data into clear, understandable language so users can grasp what’s happening with every transaction.
Donut Could Set a New Standard for Browsers
The company will add isolated signing systems and automatic security validations for every operation. This is designed to reduce risks users face when interacting with smart contracts and decentralized platforms. It will also allow AI agents to make quick decisions, optimizing costs and execution times.
While the initial target audience will be traders, developers, and DeFi users, Zhu expects broader adoption as mainstream browsers integrate agentic capabilities or offer interoperability with platforms like Donut. According to his estimates, on-chain and off-chain environments will increasingly converge over the next decade, turning these browsers into the primary gateway for decentralized internet operations.
Donut also plans to add features for payments, gaming, digital content, and social interactions, all integrated into its decentralized infrastructure. Additionally, it will leverage new digital identity and confidential computing technologies to turn its browser into a personal financial assistant for retail users
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Tech
ElizaOS Exposed: Researchers Discover How to Manipulate Its Memory and Alter Its Operations

TL;DR
- Princeton researchers discovered how to manipulate the memory of AI agents like ElizaOS to alter their financial decisions.
- The memory injection attack allows fake memories to be inserted into AI systems, causing harmful transactions.
- CrAIBench, the tool created by Princeton, measures AI agents’ resistance to contextual manipulations and social attacks.
A group of researchers from Princeton University, in collaboration with the Sentient Foundation, identified a critical vulnerability in artificial intelligence agents operating on blockchains. The study focused on ElizaOS, a popular open-source framework used to automate financial operations on decentralized networks, and revealed a method for manipulating its memory.
How AI Agents Are Manipulated
The attack, known as memory injection, allows false data to be inserted into an AI agent’s persistent memory. This information is stored and influences the system’s future decisions without triggering any alert. While it does not directly compromise the blockchains, it causes harmful transactions driven by data that was externally manipulated. The researchers successfully demonstrated the effectiveness of this technique by using social platforms to generate fake memories within ElizaOS.
The agents most affected are those that adjust their activity based on social perception. In these cases, attackers create fake profiles and post coordinated messages that artificially alter the sentiment around a token. This causes the AI to purchase overvalued assets, only to get trapped in a price drop planned by the attackers themselves. This type of maneuver, known as a Sybil attack, becomes more effective when combined with memory manipulation.
ElizaOS Works with Researchers to Find a Solution
The Princeton team thoroughly examined all the functionalities of ElizaOS to design realistic and complete attacks, which revealed the broad range of available vectors when an AI has multiple plugins and access to financial operations. From these trials, the researchers developed CrAIBench, a testing system that measures the resistance of different AI agents to contextual manipulations.
The results have already been shared with Eliza Labs, the company responsible for the framework. Discussions about possible solutions are ongoing. The study concludes that protecting these systems requires improvements in both memory management and language model capabilities. So they can better distinguish between legitimate data and malicious instructions.
The post ElizaOS Exposed: Researchers Discover How to Manipulate Its Memory and Alter Its Operations appeared first on The Cryptocurrency Post.
Tech
Singularity Finance and Crymbo Revolutionize Compliance in Tokenized AI Economies

TL;DR
- Singularity Finance and Crymbo join forces to ensure regulatory compliance for tokenized assets through an innovative decentralized oracle solution.
- The system ensures absolute privacy by encrypting all user-shared data and eliminates cumbersome manual processes for compliance validation.
- This groundbreaking partnership accelerates the adoption of tokenized real-world assets (RWAs) by financial institutions, boosting liquidity and accessibility in the AI-driven economy.
The AI-powered tokenization network Singularity Finance has achieved a major milestone in simplifying compliance for real-world assets by partnering with Crymbo. This collaboration aims to guarantee that tokenized transactions meet global financial regulations using Crymbo’s pioneering compliance data unification layer.
Singularity Finance, a product of the merger between SingularityDAO, Cogito Finance, and SelfKey, has developed a Layer-2 network for tokenizing vital assets within the AI economy, such as graphics processing units (GPUs) and data. This infrastructure is designed to make the AI economy more accessible and liquid, allowing broader participation and investment. However, regulatory compliance continues to pose challenges for organizations eager to enter this space.
Innovative Real-Time Compliance Technology
Crymbo introduces a transformative solution: a decentralized oracle that provides real-time compliance validation while preserving user privacy. All exchanged information is fully encrypted, ensuring that even Crymbo cannot access the data. This innovative system eliminates the need for outdated manual processes, such as the repeated exchange of compliance data via multiple technological platforms, by automating the entire procedure within a secure and efficient ecosystem.
By integrating this technology, financial institutions can now easily demonstrate adherence to regulations, significantly increasing the appeal and feasibility of tokenized assets. The solution is scalable, adaptable, and ready to evolve with changing regulatory requirements, ensuring businesses remain ahead of compliance standards.
“With Crymbo’s oracle, compliance becomes seamless and more efficient, adapting effortlessly to ever-changing regulations”,
commented a spokesperson for Singularity Finance.
This partnership marks a critical leap forward in driving the adoption of tokenized real-world assets. By overcoming compliance hurdles, Singularity Finance and Crymbo are not only enhancing efficiency but also fostering greater security, transparency, and trust within the tokenized AI economy. This breakthrough is expected to unlock new opportunities for institutions and investors alike.
The post Singularity Finance and Crymbo Revolutionize Compliance in Tokenized AI Economies appeared first on The Cryptocurrency Post.
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