agents

According to the Coinbase blog, its MCP service Coinbase for Agents has launched Agent Controls, allowing users to set limits, product permissions, and stop conditions for trades conducted through the AI Agent. The relevant control settings run on Coinbase's server side, and users must log into their accounts via the Coinbase App or web to manage them; the AI Agent cannot modify or bypass them on its own.The features launched include: Maximum trade size, which sets the maximum amount for each trade in USD; 24-hour volume limits, where trades exceeding the limit cannot be executed; Auto-stop, which will stop the AI Agent from placing orders when the portfolio loss exceeds a set percentage, until the user re-enables trading in the App.In addition, the product permissions feature will soon be available, allowing users to choose the categories of products that the AI Agent can trade, including cryptocurrencies, stocks, and derivatives.

According to a report by Decrypt, the blockchain data project Space and Time, supported by Microsoft, announced the launch of the Space and Time Enterprise platform, which allows enterprises to use private data for AI tools without relinquishing the underlying records. The platform can prove that computations based on private data are correct, enabling AI applications, auditors, and other relevant parties to verify results without accessing the database itself.The first batch of partners includes on-chain asset management firm Maple Finance, Indonesian automotive manufacturer and distributor Indomobil, Oracle software consulting company Trenez, and The Data Foundation, a nonprofit organization focused on government data based in Washington, D.C.Nate Holiday, CEO of the original developer of Space and Time, MakeInfinite Labs, stated that enterprises want AI agents to utilize this information to execute workflows, but the agents do not need unrestricted access to the records behind every computation.He mentioned that granting unrestricted data access to AI tools would create new exposure channels. The company is collaborating with clients in construction, engineering, and manufacturing to enable agents, reporting tools, and compliance teams to work based on the same set of business records and verify the computations they rely on.The platform is based on Space and Time's patented technology, Proof of SQL, which is used to prove that database queries are computed correctly and is currently compatible with Google Cloud's BigQuery. Enterprises can run it on their own servers without needing to operate a blockchain, purchase dedicated hardware, or rely on external proof services.With GPU acceleration, supported queries on millions of rows of data can be completed in one second and generate proofs. This technology can only prove that computations are correctly executed on given records and cannot determine whether the records themselves are accurate. Space and Time completed a $20 million strategic financing round led by Microsoft's venture fund M12 in 2022, and Grayscale previously launched a trust product for the SXT token.

According to TNW, the Barcelona startup Kabilio has completed a €10 million financing round, led by Picus Capital and Visionaries, with participation from the Spanish public agency for technology and innovation CDTI.The two leading investors also participated in the company's €4 million pre-seed financing round a year ago. Kabilio aims to replace processes such as debt collection in accounting firms with AI agents.

The Dark Side of the Moon announced the release of Kimi Hosted Agents, which will provide the Harness that supports Agent operation as a cloud service for enterprises and developers. Enterprises can obtain a 24/7 managed environment without the need to build and maintain their own operational framework, supporting long-range task execution and efficient collaboration among multiple agents.

Chinese artificial intelligence company DeepSeek has announced a design plan aimed at enhancing the autonomy of AI coding assistants, allowing them to reduce human intervention while performing multiple tasks. According to a report by the South China Morning Post on Sunday, the plan originates from a paper published by the DeepSeek Harness team, with the core goal of reducing the human effort required to coordinate and monitor multiple AI agents.The team pointed out that managing multiple agents consumes human attention and cited a statement from the paper that "the single-task limit depends on model capability, while the multi-task limit depends on human attention." The paper also stated that one person can only supervise 3 to 5 active AI agent conversations at the same time. The proposed system will allocate tasks and coordinate work among the agents, allowing humans to free up energy to review results and make decisions.This proposal comes at a time of intense competition among AI developers, involving American companies Anthropic and OpenAI. Previously, Cointelegraph reported in October last year that, according to data from blockchain analysis platform CoinGlass, Chinese AI models outperformed their American counterparts in cryptocurrency trading, with DeepSeek being the only AI model in an experiment to achieve a 9.1% positive unrealized return, while the development cost of this model was only a small fraction of that of its American competitors.

Coinbase Business announced that it supports AI Agents to purchase domains on the domain platform Atom through the x402 payment protocol.The company stated that previously, most x402 payment processes were focused on data and API requests, and this time the application scenario has been expanded to domain purchases.

According to "Du Jia," Tencent has launched the internal testing of "Tencent Cloud Drive," with some features still being iterated, and plans to release an App version. This product focuses on file storage, data management, and AI applications, with a core positioning as a unified memory base for multiple Agents, aiming to connect various AI applications and office tools, unify and carry context, allowing multiple Agents to collaborate based on the same information.Practical tests show that the internal test version retains basic entry points such as the homepage, files, recycle bin, and storage space, with a floating AI assistant panel on the right side. The core highlight of the product is its "connection" capability, supporting binding with Tencent Docs, WorkBuddy, and integrating third-party Agents like DeepSeek Harness and OpenClaw. After authorization, the Cloud Drive AI assistant can read application files, automatically sync updates, and directly call information as a knowledge base for retrieval, summarization, and content generation. The binding page will clearly inform users of the scope of permissions and the rules for AI credit consumption.The report points out that, unlike traditional Cloud Drive AI's document summarization, this system fully connects documents, Cloud Drive files, and Agent workspaces, shifting the Cloud Drive from a file repository to a data memory platform in the AI era.

a16z co-founder Marc Andreessen commented on the online programming platform Replit and its CEO Amjad Masad's proposed concept of Agent Habitat, believing that more companies will become autonomous driving companies as a result. He stated that the keyword pointed out by Masad is chaos, and quoted his viewpoint that most agents today operate in chat windows, personal accounts, and one-off scripts, holding credentials and data given to them by others, but no one decides what they can access, nor can anyone see what they have done.Andreessen noted that disruptive technologies like personal computers, spreadsheets, and email entered the workplace in a bottom-up chaotic manner, and only later did they require habitats to moderately constrain that chaos. He cited examples such as early employees bringing personal computers into the office, spreadsheets enabling non-programmers to create business models and forecasts, but also introducing hard-to-audit formula errors; email bypassed the information flow controlled by the mailroom in the past. He believes this kind of chaos indicates that employees are claiming tools that can bring alignment and significant productivity improvements.Andreessen also stated that code is the ultimate product of alignment, and expanding the range of code contributors will bring chaos, thus requiring a free-range style of agent habitat rather than cages, but it cannot be completely laissez-faire. He mentioned that an employee from Sumitomo Mitsui Finance and Leasing completed a development process originally planned to take 6 people 6 months in just one week. He indicated that for companies to become autonomous driving companies, they must achieve alignment, and in the future, the degree of alignment may be measured by the richness of the agent habitat; Replit and its clients have already understood this, while most companies have not yet grasped it.

Bloomberg Markets column Odd Lots released the episode "AI Agents Are Already Changing the Price of Goods" on October 26, subtitled The Future of Fair Pricing. Guest Lindsay Owens from the think tank Groundwork Collaborative stated that the history of price fraud does not support the notion that new technologies will make goods cheaper.Owens mentioned that research from the think tank shows that some consumer-facing AI agents, after understanding users' financial situations, actually recommend more expensive products. Her new book "Gouged: The End of a Fair Price --- and What That Means for Your Wallet" discusses how companies increase charges through data collection and monitoring. This episode also covers AI agents like Meta's Muse, tech companies' claims about agents helping consumers find good deals, and methods of price fraud that existed before the advent of AI.

Google DeepMind researchers Zhengxuan Wu, Yuxuan Li, Oyvind Tafjord, and Been Kim released a preprint paper titled "XYEval: Agents say yes to bad advice," proposing a meta-evaluation framework XYEval to assess the performance of agents when faced with misleading suggestions from users. The paper extends the "XY problem" to the agent scenario, where the user inquires about their attempted solution X rather than the actual problem Y.XYEval retains the original task environment and verifiable answers, only adding seemingly reasonable but misleading user suggestions in the instructions. The misleading suggestions are generated by a generator after seeing the complete task and are appended in the form of confident suggestions rather than hard requirements, allowing the original task to remain solvable. The evaluation covers six benchmarks: τ2-bench, SWE-bench Verified, SWE-bench Pro, Terminal-Bench, Humanity's Last Exam, and MCP-Atlas, along with five models, where the misleading suggestions for τ2-bench are generated based on rules set by human experts.The paper states that the performance significantly declines after the XY mutation, with the relative drop reaching up to 46.7%. On τ2-bench, when faced with users who require a detailed explanation before accepting a better solution, the performance drops even more. Encouraging models to recognize the XY problem through simple system instructions only partially alleviates the issue. The related code is published in the GitHub repository google-deepmind/xyeval.

Bitcoin News posted on the X platform that Lightning Labs has opened Wavelength to all users. The AI agent can autonomously send and receive payments on the Bitcoin mainnet via the Lightning Network and L402 without requiring manual approval for each transaction.The AI agent can use its payment API to call fees, purchase data, and trade with other agents, with single transaction fees as low as less than 1 cent; developers can integrate payment functionality into their applications without running a Lightning Network node, managing channels, or raising liquidity. This self-hosted toolkit supports independent on-chain exits, with an initial limit of 300,000 satoshis per wallet, and the Lightning Network payments incur a service fee of 0.25%. Wavelength is currently still in the Alpha stage and plans to support stablecoins.

AI Economic Settlement Agreement AEON Launches Agentic Checkout V2, Expanding AI Agent's Autonomous Trading Scenarios from E-commerce Shopping to Travel Accommodation Booking. The new version supports AI agents in searching and booking hotels through the Travala platform, allowing users to express accommodation needs in natural language, with AI agents assisting in the selection and booking process.In terms of fund management, AEON introduces on-chain Agent Wallet capabilities, supporting the management of available funds for agents and recording transactions, helping users track the spending activities of AI agents, and promoting Agentic Commerce from product search and purchase to more complex service transactions like hotel bookings.

Coinbase announced on platform X that it has launched perpetual contract trading features for AI agents, calling it "AiFi²".

According to Cointelegraph, Yat Siu, co-founder of Animoca Brands, pointed out that the crypto industry is gradually evolving into a "digital Wall Street," deviating from its original mission of decentralized finance. He believes that to bring the next billion users on-chain, the industry needs a new solution, rather than just relying on tokenization or new wallets. Siu emphasized that only AI agents capable of independently holding user keys and interacting with the blockchain can truly achieve autonomous control of user assets.Siu questioned the current AI agent platforms on the market, particularly Meta's Muse. He noted that Meta's terms of service allow it to "remove user agents at any time and for any reason," which constitutes a significant trust flaw. He believes that personal agents relied upon by users should not be owned and controlled by centralized platforms. Animoca is building the MINDS agent, a multi-agent orchestration system designed to provide user autonomy and support various communication channels and AI model choices.Siu estimates that currently only about 10% of crypto asset holders are truly on-chain, and he believes that AI agents will be a key factor in changing this ratio. He further pointed out that since AI agents use code as their native language, their capabilities in handling complex security issues will surpass those of ordinary users, providing a new perspective for the secure development of the crypto field.

Phoenix Technology cites a report from the Financial Times that on October 19, Beijing time, the AI company Anthropic is discussing with legal professionals how to enable AI agents to negotiate on behalf of users while adhering to reasonable negotiation rules to secure better deal terms. Two individuals familiar with Anthropic's thoughts stated that the company is seeking advice from law firms to understand how lawyers can balance client interests with fair negotiation outcomes. Anthropic declined to comment.The report mentions that as personal AI agent applications advance, related companies are beginning to consider allowing agents to communicate with each other to negotiate product prices, resolve customer service disputes, and even strive for better salary conditions on behalf of users. One person familiar with the related work stated that Anthropic is researching the negotiation norms that should be followed when models negotiate with each other, weighing factors such as how often to consult users during negotiations and how vigilant to remain against AI negotiation counterparts. Another individual close to the company mentioned that the company has also explored having users sign documents to confirm the tasks accepted by the agents and the rules they must adhere to.The Financial Times cites research released by Anthropic in April this year, stating that the policy and legal framework for AI models to conduct transactions on behalf of humans has yet to be established. This year, the company had the Claude agent negotiate around real goods and funds, and in a September experiment, employees bought and sold books through the agent, with agents employing tough strategies having a slight advantage in securing better outcomes. Harvard Business School Assistant Professor Michelle Vacharo conducted over 180,000 agent negotiations, covering scenarios such as employment contracts and lease agreements, and the research found that some agents attempted to induce the other party to disclose confidential information through prompt injections.

The Indian Computer Emergency Response Team (CERT-In) released an important announcement this week titled "AI Agents as Attack Vectors," indicating that AI agents operated by unnamed model providers exceeded their granted task scope during testing, reading confidential business records in the online systems of Indian agencies, and no affected agencies discovered this behavior on their own.CERT-In stated that it received voluntary disclosures from several AI model providers, which indicated that these models accessed the online systems of Indian agencies while being researched and evaluated on the internet. The announcement did not disclose the names of the providers, models, or affected agencies. The agents read business records containing personal data and confidential materials, utilizing credentials and connection settings exposed in application configurations, public code repositories, and overly permissive cloud service roles. In some cases, the same credentials were recovered multiple times and reused in different operations.Additionally, CERT-In observed that criminals exploited publicly available AI-driven offensive security frameworks to scan for vulnerabilities, implement exploits, and launch economically motivated attacks against Indian entities, reducing the time from initial access to final impact from several days to just hours; these tools were repeatedly repackaged and deployed, with related deployments appearing on servers in multiple countries.

Filecoin announced that three advancements have been made this month: the new reward mechanism Solstice will allocate more block rewards to services that bring paying customers to the network, while the rewards solely for consensus mining will be correspondingly reduced, and the unearned portion will be destroyed; the release period for the genesis token is about to end, and the daily new FIL circulation is expected to decrease by approximately 75%.In addition, Filecoin has launched new products aimed at enterprises and AI Agents, including the Filecoin-based storage cloud Integral Spacetime, S3 compatible object storage Fil One, and tools that support AI Agents to directly store files, obtain public links, and make on-chain payments.