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The post China warns about AI risks with Anthropic’s Claude Code appeared on BitcoinEthereumNews.com. Security officers keep watch in front of an AI (Artificial Intelligence) sign at the annual Huawei Connect event in Shanghai, China, September 18, 2019. Aly Song | Reuters BEIJING — China on Wednesday warned of “back-door” security risks affecting companies that use U.S.-based company Anthropic’s Claude Code artificial intelligence tool. It comes as the U.S.-China tech race intensifies, with Anthropic last month blaming Chinese company Alibaba for attempting to extract its AI capabilities, which are not officially available in China. Alibaba did not comment on the accusations at the time. Many locals in China have found ways to use U.S. AI tools, however. In March, a Xiaomi AI developer said at a state-organized forum that many were using Claude Code. And Alibaba has ordered its employees to stop using Anthropic tools for work starting July 10, CNBC confirmed on Monday. The Chinese Min
Read full articleThe trend of accepting AI firm stocks as payment highlights growing confidence in AI's transformative market potential and future economic impact. The post San Francisco home sellers seek OpenAI, Anthropic stock as payment appeared first on Crypto Briefing.
Even before OpenAI and Anthropic go public, they are distorting home sales in the San Francisco Bay Area, as people race to buy and sellers ask for stock instead of cash.
China’s National Vulnerability Database said the suspected vulnerability could allow the transfer of data, such as user location details and identity-related information.
The post The Automation Blind Spots: Places We Still Need 100% Human Input appeared on BitcoinEthereumNews.com. Artificial intelligence (AI) has completely changed how I get through my daily to-do list. Tasks that used to eat up my entire morning, things like organizing messy notes, summarizing long documents, or formatting spreadsheets, now happen in seconds. It’s an incredible tool for handling the heavy lifting. But as these tools have become a regular part of my day, I’ve noticed a bigger shift happening across the internet. In a world flooded with instant, automated writing, speed isn’t the superpower it used to be. Good judgment is. I still think AI is amazing for beating writer’s block and getting a rough first draft on the page. But letting a machine make final decisions is a different story entirely, and a risky one. From costly mistakes to a slow erosion of your own voice, leaning on AI without question can amplify errors faster than anything that came before it. So here’s my
China's improved GDP forecast by the IMF signals potential global economic stability, influencing market confidence and international trade dynamics. The post IMF raises China’s 2026 GDP growth forecast amid stronger outlook appeared first on Crypto Briefing.
The convergence of xAI, Meta, and Anthropic in AI domains may intensify competition, reshape market dynamics, and influence valuations. The post xAI, Meta, and Anthropic expand into each other’s AI domains for growth appeared first on Crypto Briefing.
The post Machine learning algorithm sets Bitcoin price for July 31, 2026 appeared on BitcoinEthereumNews.com. A machine learning-powered forecasting system has projected Bitcoin (BTC) to trade at an average price of $60,013 by July 31. The price prediction, generated by the Finbold AI Agent on July 8, implies a 3.37% decline from the cryptocurrency’s current price of $62,108. BTC price prediction for July 31. Source: Finbold The Bitcoin price forecast was generated using a multi-model artificial intelligence framework that combines predictions from Claude Opus 4.6, DeepSeek Chat, Gemini 3 Flash, and GPT-5.2. The system analyzed technical indicators, including the Moving Average Convergence Divergence (MACD), Relative Strength Index (RSI), Stochastic Oscillator, 50-day simple moving average (SMA), and 200-day SMA, to estimate BTC’s end-of-month price. The forecast highlights growing uncertainty around Bitcoin’s near-term direction, with individual models producing significantly differe
Anthropic is bringing its Claude Cowork AI agent to web and mobile platforms, a move aimed at helping enterprise users monitor and manage long-running AI-driven tasks from anywhere as organizations increasingly adopt agents for operational and knowledge work. The rollout, according to the company, is based on an analysis of 1.2 million anonymized and aggregated Claude Cowork sessions conducted between May 11 and May 31 that showed that business process and operations accounted for the largest share of the AI agent’s usage at 33.4%, followed by content creation and copywriting at 16.4%, the company wrote in a blog post. Software development represented only 8.7% of sessions, ahead of DevOps and infrastructure at 7%, along with research and intelligence at 6.4%, and data analysis and business intelligence (5.8%). Cowork’s expansion, which is currently in beta, will allow users to start and manage Claude Cowork sessions directly from the Claude interface on the web and mobile, while enabl
