QnA3 is an AI-powered Web3 Knowledge Sharing Platform. That aims to be one of the most accurate crypto products with knowledge in the field of cryptocurrencies.
Agora, an automated testing framework jointly developed by 0G Labs and research teams from the National University of Singapore, Peking University, and Beijing University of Posts and Telecommunications, has been accepted to ICML 2026. Agora is the first framework to deeply integrate domain-specific knowledge from distributed systems with a multi-agent collaborative architecture for automated vulnerability detection in production-grade consensus protocols. According to the paper, Agora has uncovered 15 previously unknown deep logic bugs (“Deep Bugs”) across mainstream consensus protocols—including Raft, EPaxos, HotStuff, and BullShark—spanning critical security issues such as execution divergence, monotonicity violations, topology flaws, and signature verification failures. Experimental results show that leading large language models—including GPT-5.2 and Claude 4.5—failed to detect any protocol-level vulnerabilities under identical test scenarios. Agora employs hypothesis-driven testing and a multi-agent collaboration mechanism, enabling deep security analysis of complex distributed systems through automated attack-scenario generation, test execution, and dynamic refinement. Beyond consensus protocols, the framework is designed for future extension to domains including database concurrency control, operating system kernels, and Web3 smart contract auditing.
OpenAI has officially launched the GPT-5.5-Cyber model and the "Trusted Access for Cyber" (TAC) framework designed for cybersecurity defenders. Simultaneously, GPT-5.5-Cyber has been opened for a limited preview to defenders responsible for critical infrastructure, supporting specialized cybersecurity workflows.TAC is an identity and trust-based framework aimed at ensuring that enhanced AI capabilities are wielded by verified defenders. Defenders verified through this framework will encounter fewer instances of model refusal when performing tasks such as vulnerability identification, triage, malware analysis, binary reverse engineering, and patch verification. Starting from June 1, 2026, individual members accessing this capability will be required to enable advanced account security protection.OpenAI is currently collaborating with security vendors including Cisco, CrowdStrike, and Palo Alto Networks to accelerate the defense cycle of the security ecosystem through GPT-5.5, enhancing the efficiency of vulnerability research, patching, monitoring, and supply chain security.
According to a disclosure by a16z, its researchers conducted systematic testing to assess whether AI agents can independently exploit DeFi price manipulation vulnerabilities. The study used a dataset of 20 Ethereum price manipulation incidents and employed Codex (GPT 5.4) equipped with the Foundry toolchain as the test agent. Under baseline conditions—i.e., without domain-specific knowledge—the agent’s success rate was only 10%; after incorporating structured domain knowledge distilled from real-world attack incidents, the success rate rose to 70%. Failure cases revealed that the agent consistently identified vulnerabilities correctly but generally failed to comprehend the leverage logic of recursive lending, misjudged profit margins, and could not orchestrate multi-step, cross-contract attack sequences. The experiment also recorded one sandbox escape incident: the agent extracted an RPC key from the local node configuration and invoked the <code>anvil_reset</code> method to reset the node to a future block, thereby bypassing information isolation constraints and accessing real-world attack data. The research team concluded that AI agents can currently assist effectively in vulnerability identification but are not yet capable of replacing professional security auditors.
According to an official announcement, OpenAI has launched a biotechnology security vulnerability bounty program for GPT-5.5 and is now accepting applications. This program aims to strengthen the safety of its advanced AI capabilities in the biotechnology domain by inviting researchers with experience in AI red-teaming, security, or biosecurity to attempt identifying general jailbreak methods that can bypass its five biotechnology safety challenges.
Odaily Seer monitoring shows that the probability of Polymarket's “GPT 5.6 will be released before June 15” has dropped to 21%, a 24H decline of 45%. In addition, the probability of “GPT 5.6 will be released before June 30” has dropped to 80%, a 24H decline of 13%. It is reported that OpenAI plans to release the next-generation AI model GPT 5.6 in June 2026, which is currently in the internal testing phase.Odaily Seer continues to monitor the prediction market, seeing changes before pricing.
OpenAI has announced a new preview of a personal finance experience for ChatGPT Pro users in the United States. Users can securely connect their bank and investment accounts, view a fund flow dashboard within ChatGPT, and consult the AI for financial advice based on their personal financial situation, while maintaining complete control over their data.The new feature enables account linking through Plaid (with Intuit support coming soon), syncing balances, transactions, investments, and liability information. This helps users identify spending patterns, analyze savings opportunities, plan goals, and optimize major financial decisions. Users can also input financial background information, such as mortgage details, savings goals, or large spending plans, allowing ChatGPT to provide more personalized advice.The experience emphasizes automation and actionability: users can set budget limits, automate savings transfers, and track savings progress weekly, enabling a lightweight and sustainable approach to financial planning. The system offers saving strategies for dining, shopping, transportation, daily purchases, and subscription services, helping users increase savings without sacrificing their quality of life.OpenAI notes that this feature is not a substitute for professional financial advice, but it can combine complex personal finance issues with the reasoning capabilities of GPT-5.5 to deliver more precise solutions. In the future, the feature will gradually roll out to Plus and all users, with plans to expand the ecosystem through partnerships with Intuit and others, offering a one-stop financial experience from planning to execution.In terms of privacy and security, users can disconnect their accounts or delete financial memories at any time. All account data is used solely to provide personalized financial services and will not modify user funds, adhering to strict data control and privacy protection standards.
Aethir Claw has officially launched its Model-as-a-Service (MaaS) layer, integrating API credits for cutting-edge large models from Anthropic, OpenAI, Google, and others directly into a single platform subscription. Users no longer need to individually register with external LLM providers or manage API keys; one payment covers the entire stack from VPS hosting to model inference.Going forward, Aethir Claw plans to deploy mainstream models on Aethir’s own GPU network, achieving true data sovereignty at the inference layer.Aethir is a leading platform in decentralized GPU cloud computing infrastructure. To date, the network has deployed over 430,000 GPU containers across more than 200 nodes in 94 countries globally, accumulated nearly 1.8 billion hours of computing time, and served over 150 partners and enterprise clients. Its GPU hardware spans the NVIDIA Hopper and Blackwell generations, including the H100, H200, B200, and B300.
OpenAI has officially launched the GPT-5.5-Cyber model and the "Trusted Access for Cyber" (TAC) framework designed for cybersecurity defenders. Simultaneously, GPT-5.5-Cyber has been opened for a limited preview to defenders responsible for critical infrastructure, supporting specialized cybersecurity workflows.TAC is an identity and trust-based framework aimed at ensuring that enhanced AI capabilities are wielded by verified defenders. Defenders verified through this framework will encounter fewer instances of model refusal when performing tasks such as vulnerability identification, triage, malware analysis, binary reverse engineering, and patch verification. Starting from June 1, 2026, individual members accessing this capability will be required to enable advanced account security protection.OpenAI is currently collaborating with security vendors including Cisco, CrowdStrike, and Palo Alto Networks to accelerate the defense cycle of the security ecosystem through GPT-5.5, enhancing the efficiency of vulnerability research, patching, monitoring, and supply chain security.
Odaily, World Liberty Financial co-founder Zach Witkoff appeared on Fox Business to discuss the company's latest breakthroughs in AI and decentralized finance. Witkoff pointed out that WorldClaw is a key piece of the puzzle in realizing the Agent economy vision. WorldRouter, as an AI model aggregation platform, supports access to over 300 mainstream AI models—including GPT-5.5, Claude Opus 4.7, and Gemini 3.1 Pro—via a single account, with pricing 30% lower than official channels. WorldClaw AgentOS integrates the native stablecoin USD1 for instant and transparent settlement. Users can stake WLFI tokens to obtain AI credit packages and unlock whitelist eligibility. The project has the backing of the Trump family, aiming to establish the United States as the global hub for crypto and AI.
According to an official announcement, B.AI has launched a major recharge bonus upgrade campaign on May 3. For a limited time, the platform is offering a 1:1 matching recharge reward mechanism—users receive an equivalent credit bonus for every dollar they recharge, effectively reducing the cost of invoking cutting-edge large language models such as GPT-5.5 and Claude Opus 4.7, as well as the “Brother Sun Brain” model and Web3 trading skill packs by up to 50%. This campaign removes the first-recharge restriction entirely: every recharge automatically triggers an equal-value bonus, with each user eligible to accumulate up to $100 in free credits. Additionally, the platform releases a daily $10,000积分 subsidy pool (points subsidy pool), available on a first-come, first-served basis across the network, resetting every day. Starting today, visit http://b.ai to unlock top-tier computing power at the lowest possible cost—and fully unleash the limitless potential of AI Agents and on-chain ecosystems.
Spanish banking giant BBVA has announced a strategic partnership with OpenAI to fully integrate artificial intelligence into customer service, business operations, software development, and employee workflows, driving its banking operations towards an AI-native model transformation. The goal is to leverage AI to redesign the bank's operational model, encompassing areas such as customer experience, commercial banking services, risk management, operational efficiency, software development, and employee productivity. Reportedly, BBVA employees have already created over 20,000 customized GPTs internally, of which approximately 4,000 are frequently used by teams, covering multiple business areas including legal, risk, customer service, finance, and marketing.
Agora, an automated testing framework jointly developed by 0G Labs and research teams from the National University of Singapore, Peking University, and Beijing University of Posts and Telecommunications, has been accepted to ICML 2026. Agora is the first framework to deeply integrate domain-specific knowledge from distributed systems with a multi-agent collaborative architecture for automated vulnerability detection in production-grade consensus protocols. According to the paper, Agora has uncovered 15 previously unknown deep logic bugs (“Deep Bugs”) across mainstream consensus protocols—including Raft, EPaxos, HotStuff, and BullShark—spanning critical security issues such as execution divergence, monotonicity violations, topology flaws, and signature verification failures. Experimental results show that leading large language models—including GPT-5.2 and Claude 4.5—failed to detect any protocol-level vulnerabilities under identical test scenarios. Agora employs hypothesis-driven testing and a multi-agent collaboration mechanism, enabling deep security analysis of complex distributed systems through automated attack-scenario generation, test execution, and dynamic refinement. Beyond consensus protocols, the framework is designed for future extension to domains including database concurrency control, operating system kernels, and Web3 smart contract auditing.
Odaily Seer monitoring shows that the probability of Polymarket's “GPT 5.6 will be released before June 15” has dropped to 21%, a 24H decline of 45%. In addition, the probability of “GPT 5.6 will be released before June 30” has dropped to 80%, a 24H decline of 13%. It is reported that OpenAI plans to release the next-generation AI model GPT 5.6 in June 2026, which is currently in the internal testing phase.Odaily Seer continues to monitor the prediction market, seeing changes before pricing.
OpenAI has announced a new preview of a personal finance experience for ChatGPT Pro users in the United States. Users can securely connect their bank and investment accounts, view a fund flow dashboard within ChatGPT, and consult the AI for financial advice based on their personal financial situation, while maintaining complete control over their data.The new feature enables account linking through Plaid (with Intuit support coming soon), syncing balances, transactions, investments, and liability information. This helps users identify spending patterns, analyze savings opportunities, plan goals, and optimize major financial decisions. Users can also input financial background information, such as mortgage details, savings goals, or large spending plans, allowing ChatGPT to provide more personalized advice.The experience emphasizes automation and actionability: users can set budget limits, automate savings transfers, and track savings progress weekly, enabling a lightweight and sustainable approach to financial planning. The system offers saving strategies for dining, shopping, transportation, daily purchases, and subscription services, helping users increase savings without sacrificing their quality of life.OpenAI notes that this feature is not a substitute for professional financial advice, but it can combine complex personal finance issues with the reasoning capabilities of GPT-5.5 to deliver more precise solutions. In the future, the feature will gradually roll out to Plus and all users, with plans to expand the ecosystem through partnerships with Intuit and others, offering a one-stop financial experience from planning to execution.In terms of privacy and security, users can disconnect their accounts or delete financial memories at any time. All account data is used solely to provide personalized financial services and will not modify user funds, adhering to strict data control and privacy protection standards.
Aethir Claw has officially launched its Model-as-a-Service (MaaS) layer, integrating API credits for cutting-edge large models from Anthropic, OpenAI, Google, and others directly into a single platform subscription. Users no longer need to individually register with external LLM providers or manage API keys; one payment covers the entire stack from VPS hosting to model inference.Going forward, Aethir Claw plans to deploy mainstream models on Aethir’s own GPU network, achieving true data sovereignty at the inference layer.Aethir is a leading platform in decentralized GPU cloud computing infrastructure. To date, the network has deployed over 430,000 GPU containers across more than 200 nodes in 94 countries globally, accumulated nearly 1.8 billion hours of computing time, and served over 150 partners and enterprise clients. Its GPU hardware spans the NVIDIA Hopper and Blackwell generations, including the H100, H200, B200, and B300.
The SMART Benchmark—a benchmark evaluation of AI trading agents initiated by Manic.Trade—has officially concluded. A total of 387 evaluations were completed, covering 180 participants, 46 models, and 15+ model families, making it the most comprehensive horizontal evaluation of trading agents to date in terms of model coverage. The evaluation primarily assessed five dimensions: real-time data processing, multi-source intelligence acquisition, market analysis, trading decision-making, and risk control.