ComputerWorld AI·
Microsoft has introduced usage-based billing for Copilot Cowork, which is now generally available. Microsoft unveiled Copilot Cowork in March, pitching it as an AI agent that’s capable of independently performing long-running, multi-step tasks — even when a user’s computer is off. It’s built on the same technology that underpins Anthropic’s Claude Cowork. Unlike Claude Cowork, which can interact directly with files and applications on a user’s computer, Copilot Cowork runs in Microsoft’s cloud environment and acts on documents held in a customer’s Microsoft 365 tenant. Copilot Cowork now comes with usage-based billing. Microsoft On Tuesday, Microsoft unveiled pricing details for Copilot Cowork, which involves usage-based billing in addition to a Microsoft 365 Copilot license ($30 per user each month for large enterprises before discounts, and $20 for Microsoft 365 Copilot for Business). The usage-based pricing is calculated from four components, according to Microsoft: “model
Read full articleThe G7 summit highlights the growing geopolitical tensions over AI access, prompting nations to consider developing independent AI capabilities. The post OpenAI, Anthropic CEOs break bread with G7 leaders as US AI export controls rattle allies appeared first on Crypto Briefing.
Toward Generalist Autonomous Research via Hypothesis-Tree Refinement
Workers at the artificial intelligence company have been puzzled and increasingly concerned by the administration’s move to limit their latest A.I. models.
Executives from Anthropic, OpenAI and Mistral will be among those attending a lunch meeting with leaders from many of the world’s richest nations.
The EU's negotiations with Anthropic highlight the growing importance of AI diplomacy in balancing security needs and international collaboration. The post EU Commission meets with Anthropic in San Francisco as AI access negotiations heat up appeared first on Crypto Briefing.
Z.ai has released GLM-5.2, an MIT-licensed open-source AI model designed for long-running software engineering tasks, as the Chinese company seeks to challenge proprietary coding models on cost and performance. The company said GLM-5.2 ranked just behind Anthropic’s Claude Opus 4.8 on FrontierSWE, a long-horizon coding benchmark, trailing it by 1%. Z.ai said the model also edged out OpenAI’s GPT-5.5 by 1%. Z.ai said GLM-5.2 supports a one-million-token context window with up to 131,072 output tokens, positioning it for agentic coding workflows that require reasoning across large codebases. The company is also making an efficiency argument. It said GLM-5.2 uses a technique called IndexShare, which reduces per-token compute by 2.9 times at a one-million-token context length. It also said changes to the model’s multi-token prediction layer increased the acceptance length for speculative decoding by up to 20%. The changes are aimed at a practical problem for developers: long-context coding
Z.ai has released GLM-5.2, an MIT-licensed open-source AI model designed for long-running software engineering tasks, as the Chinese company seeks to challenge proprietary coding models on cost and performance. The company said GLM-5.2 ranked just behind Anthropic’s Claude Opus 4.8 on FrontierSWE, a long-horizon coding benchmark, trailing it by 1%. Z.ai said the model also edged out OpenAI’s GPT-5.5 by 1%. Z.ai said GLM-5.2 supports a one million-token context window with up to 131,072 output tokens, positioning it for agentic coding workflows that require reasoning across large codebases. The company is also making an efficiency argument. It said GLM-5.2 uses a technique called IndexShare, which reduces per-token compute by 2.9 times at a one million-token context length. It also said changes to the model’s multi-token prediction layer increased the acceptance length for speculative decoding by up to 20%. The changes are aimed at a practical problem for developers: long-context coding
Bitcoin price prediction outlook shaped by SpaceX IPO liquidity shift while best crypto presales and AI agent crypto trends gain attention.
