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More →Google Wants Gemini to Be Your Next Coworker—Complete With Its Own Email Address
Google Cloud introduced a universal AI agent for the workplace on Thursday, one it says can take a goal, go off and do the work, and return with the finished result. CEO Thomas Kurian presented it at the company's <a href="https://cloud.google.com/blog/products/ai-machine-learning/welcome-to-gemini-at-work-2026" target="_blank" class="sc-adb616fe-0 dJryYS" rel="nofollow">Gemini at Work</a> event, saying that "work now starts in the prompt window." The product, simply called the Gemini Agent, works inside Gmail, Docs, Sheets, Slides, Drive, Chat and Calendar, and also reaches into Microsoft 365 and Slack. Google says it keeps running in the cloud after you close your laptop, so a single task can stretch across hours or days. The most interesting feature is what Google calls coworker agents. A manager describes a role, such as events coordinator, and Gemini creates an agent with its own Workspace account: an email address, a calendar, Drive storage and a listing in the company directory. This is similar to what other agentic frameworks have explored. For example Grok popularized it with Grok Bot, OpenAI did the same with GPT dots, and Hermes introduced its bots feature offering the same functionality. The new agent connects to Salesforce, ServiceNow, Jira, Snowflake, BigQuery and any server that speaks Model Context Protocol, an open standard that works like a universal plug between AI and software. It also runs on more than Google's own models: Gemini currently orchestrates across Gemini and Claude models from Anthropic, routing each job to the one Google considers the best fit for quality and cost. Letting software act on its own raises obvious safety questions, and Google's answer is to treat each agent like an employee. Every agent gets a cryptographically attested identity, a digital ID verified through cryptography, and every action lands in an audit trail attributed to the agent rather than a person. All agents run inside an Agent Sandbox, a walled-off environment meant to keep software away from the rest of a system, and all their traffic passes through Agent Gateway, which Google describes as an "AI network firewall." Containment has failed before: in July, researchers at Accomplish AI reported that the local mode of <a href="https://decrypt.co/374557/chatgpt-claude-ai-models-escaping-sandboxes-cowork" target="_blank" class="sc-adb616fe-0 dJryYS" rel="nofollow">Claude Cowork</a> could escape its Linux virtual machine on Macs and reach files on the host computer. Cost is the other worry, since agents burn through tokens, the chunks of text that AI models read and write and that customers are billed for. Google says nearly 500 of its customers each processed more than one trillion tokens over the past year, and it added real-time spend caps: when a project hits its limit, the agent pauses until someone clicks to resume. Google did not publish pricing or a general availability date for the Gemini agent. The financial services and lega
Trump AI task force meets as global AI spending nears $2.7 trillion
Coin World News: President Trump's Superintelligence Task Force leaders met on Thursday. Vice Chair Scott Cooper said that as AI investment increases and public anxiety grows, U.S. allies want access to advanced AI models. Director of National Intelligence Jay Clayton chairs the task force, with vice chairs including Department of Defense official Emil Michael and Federal Trade Commission Chairman Andrew Ferguson. Cooper hopes the group will meet next week to share cybersecurity threats affecting banking, healthcare, and essential service providers. According to a Reuters/Ipsos survey, more than half (57%) of registered voters believe the government is not taking the risks of AI seriously, and 84% believe AI could harm American workers. Most participants support stricter regulation to better control AI.
AI agent token usage on OpenRouter surges 14-fold
According to Bijie News, a16z data shows that AI agent token usage on OpenRouter surged 14-fold to 7.3 trillion, surpassing human usage.
APT monthly issuance drops to 4.54 million, Aptos team and investor staking will end on October 12.
CoinWorld data: The staking of the Aptos team and investors will end on October 12, and APT's monthly issuance will drop from 11.31 million to 4.54 million, a decrease of about 60%. Core contributors and early supporters received their final batch of tokens on September 12, and the Aptos Foundation regards the fourth anniversary of the October 2022 mainnet launch as the official end of the staking cycle. A total of 324.78 million APT tokens were allocated to core contributors and early supporters, accounting for 32.48% of the total issuance of 1 billion APT. The current circulating supply is 871.02 million APT, and it is expected that by 2032, issuance from the community and foundation pools will continue until 2032.
OpenRouter AI agent token usage surges to 7.3 trillion
According to Cointelegraph, AI agent token usage on OpenRouter has surged 14-fold to 7.3 trillion, far exceeding human usage.
Macro investor: AI bubble fears overlook the coming 'banking doomsday'
According to Bijie News, macro investor Jordi Visser said that the market's concerns about an AI bubble overlook a bigger risk: the coming "banking apocalypse." He pointed out that AI agents could put pressure on banks, Visa, and Mastercard, as faster settlement and Ethereum-based crypto payment systems are gradually gaining market share.
OpenAI's annual revenue forecast cut by $2 billion, IPO prospects grim
According to news from Bijie, OpenAI's annual revenue forecast was revised down by $2 billion ahead of its IPO, and it is now expected to generate $50 billion in annual revenue, rather than the $70 billion previously heard by investors. This discrepancy is significant for a company currently valued at $852 billion. Although OpenAI did not actually lose these sales, the differences between its business model and that of competitor Anthropic have sparked market unease. Analysis points out that OpenAI's method of calculating revenue differs from Anthropic's, leading to this unusual accounting issue. At the same time, the market's reaction to AI stocks has been poor, with shares of NVIDIA, Oracle, and CoreWeave all declining. OpenAI plans to submit confidential IPO documents in June 2026 and is expected to go public in 2027.
ETH large holder account long-short ratio is 2.5625
Bjie.com data: The latest snapshot of ETHUSDT on the 4-hour timeframe shows that among the top 20% of holding accounts by margin balance, the long-to-short account ratio is 2.5625, with more net long accounts among large holders. Compared with the same-caliber snapshot 24 hours ago, it rose by 0.0806; compared with the same-caliber snapshot 7 days ago, it rose by 1.1644.
Over $1 billion in crypto positions were liquidated within 24 hours, with ETH suffering heavier losses.
According to data from Bijie.com: over the past 24 hours, total liquidations in the crypto market exceeded $1 billion in positions, with Ethereum (ETH) suffering more severe damage, as liquidations reached $350 million, while Bitcoin (BTC) saw $304 million. During this period, ETH fell 3.62%, nearly twice the 1.89% decline of Bitcoin.
It is reported that OpenAI's Asia-Pacific public policy head has left the company after only six months in the role.
According to news from Bijie, it is reported that OpenAI's head of Asia-Pacific public policy is leaving just six months after taking the role. According to people familiar with the matter, OpenAI's most senior public policy executive in the Asia-Pacific region is set to depart after six months, at a time when the ChatGPT developer is facing scrutiny from regulators in the region. According to his LinkedIn profile, the executive, Sanghyun Lee, is based in Singapore, previously worked at Google for six years, and joined OpenAI in April this year. It is currently unclear why he is leaving. Sanghyun Lee's profile shows that he was responsible for leading OpenAI's public policy and government engagement work in Australia, Japan, South Korea, India, and Southeast Asia. The profile also mentions that he was responsible for "building and maintaining strong relationships with senior policymakers, regulators, and relevant institutions to support the responsible development and application of AI."