Cloudflare, OpenAI Test New AI Search Discovery System

The release shows the power the U.S. government now holds in the AI model landscape. ChatGPT Work highlights how OpenAI continues to evolve into an enterprise vendor.

The post AI Agent Dispute Resolution Powers Internet Court Protocol appeared on BitcoinEthereumNews.com. When AI agents start cutting deals with each other — buying, selling, committing funds without a human ever clicking “approve” — what happens when one of them defaults? That question is now driving a serious infrastructure push, and AI agent dispute resolution just got its first dedicated protocol. A coalition of 27 crypto and Web3 firms, including OKX, MetaMask, Matter Labs, and Genlayer, has launched the Internet Court, a shared framework designed to handle contractual disagreements between autonomous AI agents at the speed they actually operate. Key takeaways The Internet Court is a 27-firm-backed protocol led by the Genlayer Foundation to resolve disputes between AI agents transacting autonomously. Agentic commerce currently has no dispute resolution mechanism, and traditional courts cannot process machine-speed disagreements. The protocol provides interoperable AI-based payment

The post OKX, MetaMask, Matter Labs back dispute resolution court for AI agents appeared on BitcoinEthereumNews.com. A group of crypto and Web3 firms that includes OKX, MetaMask, Matter Labs and Genlayer have formed the “Internet Court” to reach dispute resolutions between AI agents. These days, AI agents negotiate and pay one another without humans in the loop, but as with human-to-human transactions, agent-to-agent transactions will run into contractual disagreements. The problem is that agentic systems have no way to settle these disputes, and traditional courts are not built to handle such cases. Hence the need for the 27-firm-backed protocol, led by the Genlayer Foundation, which makes AI-based payments, escrow and dispute resolution interoperable, according to a press release. Agentic commerce is not prepared for the potential fallout when agents disagree at machine speed, according to David Riudor, CEO and co-founder of the GenLayer Foundation. “Internet Court is the shared plac

The loophole in AI export controls highlights the need for comprehensive software regulations to prevent unintended military collaborations. The post OpenAI and Google caught selling AI models to Pentagon-blacklisted Chinese tech firms appeared first on Crypto Briefing.

The post Sam OpenAI and Sundar Google are giving AI access to Pentagon-blacklisted Chinese tech giants appeared on BitcoinEthereumNews.com. Sam Altman’s OpenAI and Sundar Pichai’s Google have provided powerful AI products to overseas businesses controlled by Chinese corporations named on a US military watchlist. The customers include Singapore units connected to Alibaba (NYSE: BABA), Baidu (NASDAQ: BIDU), and Tencent Holdings (HKEX: 0700; OTC: TCEHY). Washington claims these three companies have links with China’s armed forces. OpenAI and Google parent Alphabet (NASDAQ: GOOGL, GOOG) both allegedly confirmed the commercial relationships to the Financial Times. Nothing about these deals breaks current US law. That is the problem facing lawmakers who want to slow China’s AI growth. Washington limits shipments of the powerful chips needed to build top AI systems. Its rules are far less complete once those systems become online services. Chinese corporations can still reach American models

Meta has unveiled Muse Spark 1.1, saying the frontier AI model rivals leading LLMs on coding, computer use, and agentic AI benchmarks while undercutting OpenAI and Anthropic on API pricing, potentially lowering the cost of deploying AI agents in enterprises. Meta unveiled Muse Spark 1.1 on Thursday, pairing frontier-model performance with aggressive pricing in a move that analysts say could pressure rivals such as OpenAI and Anthropic and reshape enterprise AI procurement decisions. Meta is betting that lower inference costs can help it gain ground in the enterprise AI market with the launch of Muse Spark 1.1, a frontier model that rivals top competitors on key benchmarks while costing a fraction as much to deploy. The latest model, which was teased last week, matched or was competitive with leading models, such as Claude Opus 4.8, Gemini 3.1 Pro, and GPT 5.5, across several agentic AI, coding, and computer-use benchmarks, including SWE-bench Verified, Terminal-bench, BrowseComp, Sprea

Meta has unveiled Muse Spark 1.1, saying the frontier AI model rivals leading LLMs on coding, computer use, and agentic AI benchmarks while undercutting OpenAI and Anthropic on API pricing, potentially lowering the cost of deploying AI agents in enterprises. Meta unveiled Muse Spark 1.1 on Thursday, pairing frontier-model performance with aggressive pricing in a move that analysts say could pressure rivals such as OpenAI and Anthropic and reshape enterprise AI procurement decisions. Meta is betting that lower inference costs can help it gain ground in the enterprise AI market with the launch of Muse Spark 1.1, a frontier model that rivals top competitors on key benchmarks while costing a fraction as much to deploy. The latest model, which was teased last week, matched or was competitive with leading models, such as Claude Opus 4.8, Gemini 3.1 Pro, and GPT 5.5, across several agentic AI, coding, and computer-use benchmarks, including SWE-bench Verified, Terminal-bench, BrowseComp, Sprea

OpenAI is sharpening its enterprise AI strategy with the launch of ChatGPT Work, a new agentic platform designed to automate workplace tasks, alongside the broader rollout of its GPT-5.6 models, which the company says deliver stronger performance at lower operating costs. According to the company, ChatGPT Work can operate across applications and files, execute long-running tasks, coordinate multiple tools, and produce business documents, presentations, spreadsheets, and websites, allowing employees to delegate more complex workflows rather than interact through individual prompts. GPT- 5.6 models, generally available weeks after a limited preview following US government restrictions on their broader rollout due to concerns about advanced cybersecurity and biology capabilities, can deliver stronger performance across coding, enterprise knowledge work, cybersecurity, and scientific research while lowering inference costs and token consumption, OpenAI said. The launch marks a shift in Ope