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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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.

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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.
  

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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.

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