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
The post Ethereum Foundation Turns to AI Agents in Race to Secure Network From Bad Actors appeared on BitcoinEthereumNews.com.
Key highlights: The Ethereum Foundation has tested AI agents in a cybersecurity role The AI agents found real bugs in the shortest time possible, with the Foundation warning that security researchers are still required Ethereum is now bracing for its biggest network improvements since The Merge The Ethereum Foundation has announced a raft of positives after testing the capabilities of AI agents in spotting security vulnerabilities on the Ethereum network. Despite the successes, the Ethereum Foundation disclosed that AI agents are not replacements for security researchers as the network braces for seismic changes. Ethereum Foundation unleashes AI agents to spot vulnerabilities According to a blog post by the research nonprofit, the experiments with coordinated AI agents for identifying network vulnerabilities recorded impressive success levels. Right off the bat
The post Federal Reserve Taps A16z Co-Founder for Monetary Policy Task Force appeared on BitcoinEthereumNews.com.
The US Federal Reserve named Andreessen Horowitz (a16z) co-founder Marc Andreessen to help lead a task force studying how artificial intelligence and other new technologies could affect productivity and jobs. Andreessen will serve on the Fed’s Productivity and Jobs task force alongside Charles I. Jones, a Stanford University economics professor currently on leave at Anthropic, and Asha Sharma, Microsoft’s executive vice president and Xbox CEO. The new task force will assess how general-purpose technologies such as AI will affect employment and productivity to better inform the central bank’s policymaking, the Fed said in a Thursday press release. The group is one of five task forces launched under new Fed Chair Kevin Warsh, each responsible for examining important areas of monetary policy conduct. The other task forces will focus on the Fed’s policy communication, balance s
The post Meta rejects EU finding that Facebook, Instagram use addictive design appeared on BitcoinEthereumNews.com.
Meta has pushed back on what the European Commission recently said about a preliminary finding that showed that Instagram and Facebook broke EU law with features built to keep users scrolling. The finding, which was published on July 10 and looked into what the commission refers to as the “addictive design” of the two apps under the Digital Services Act (DSA), could expose the company to fines worth up to 6% of its global annual turnover and force design changes across both platforms. Features like the infinite scroll, video autoplay, push notifications, and the platforms’ personalized recommender systems are being pointed out as part of the core problem. According to the Commission, these features “shift the brain into autopilot mode,” and it says that Meta failed to properly weigh their effect on users’ physical and mental health. A Meta spokesperson stated that the co
The post Meta insiders sold 150 times and bought zero in the last six months appeared on BitcoinEthereumNews.com.
Meta (Nasdaq:META) executives and directors have unloaded roughly $130 million of company stock over the past six months. Across the same half year, they have bought exactly zero shares. That selling might have been more palatable if they had, as executives and directors, helped the stock price go up over that time period. They did not. META, trading on the Nasdaq, is worth less today than it was six months ago. Worse, their stock sales clustered near the higher range of 2026, months before an AI spending spree knocked the stock down. Since the start of the year, the company has lost $60 billion in market capitalization. Read more: YouTuber finds only 900 daily users in Horizon Worlds — Meta’s $36B metaverse The heaviest seller was Chief Financial Officer Susan Li. Her Form 4 disclosures show about $95 million in sales. Chief Operating Officer Javier Olivan also sold more t
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.
Meta's AI chip development could reshape tech landscapes, impacting decentralized compute markets and accelerating AI integration in daily life.
The post Meta prepares to produce its own AI chip as Zuckerberg bets big on personal super intelligence appeared first on Crypto Briefing.
The post Jensen Huang Sees AI Agents Redefining the Future of Software Work appeared on BitcoinEthereumNews.com.
Huang says AI agents move engineers from routine coding to system design and automation. Agentic systems create new skills as developers build AI tools for workplace tasks. Huang rejects extreme AI fears and urges balanced warnings from technology leaders. Nvidia CEO Jensen Huang said AI is changing software engineering by moving developers away from repetitive coding. He said engineers are now building agents, systems, and tools that could automate complex work across the workplace. In an interview published by Nvidia on Wednesday, Huang said “agentic systems” are creating a new category of technical skills. He said many software engineers are now working on agents instead of routine coding tasks. AI Agents Redefine Software Engineering Roles Huang said agentic systems are creating new technical skills, with many software engineers now focused on building agents. He add
The post Ripple joins the x402 agentic payments push. The machine-to-machine bet appeared on BitcoinEthereumNews.com.
The x402 standard revives a dormant corner of the web’s original design, the 402 Payment Required status code, to let AI agents pay for services autonomously, per call, with no accounts and no cards. Ripple has moved to put the XRP Ledger and RLUSD inside that standard, betting that when machines become the economy’s newest customers, they will settle on its rails. Summary Ripple is integrating the XRP Ledger and RLUSD with the x402 payment standard to support autonomous AI agents making on chain payments. The analysis finds RLUSD is likely to handle most settlement flows while XRP could benefit through transaction fees, liquidity routing and wallet reserve requirements. The long term opportunity depends on whether machine to machine payments gain broad adoption and whether Ripple can capture enterprise settlement activity ahead of competing networks. This is the honest
