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Okta targets AI agent token costs with MCP scoping

Okta says identity-scoped Model Context Protocol (MCP) tool lists can reduce AI agent token costs. Each model call made by an AI agent can include schemas, names, descriptions and parameters for every tool exposed by a MCP server. Okta calls the resulting prompt overhead the “tool tax”: tokens consumed as a model considers tools, including […]

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Meta Muse Glimmer brings local AI agents to consumer GPUs

Meta is releasing Muse Glimmer under an Apache 2.0 licence for local AI agents that can run on a consumer GPU. The company’s  Superintelligence Labs has released the 30-billion-parameter model’s weights on Hugging Face. Meta says developers can use it for local coding, function calling, local agents, and LLM-as-a-judge evaluation. The release targets an operational

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Alibaba tests new business model for Qwen open-source AI

Alibaba plans to introduce revenue-sharing terms for some commercial users of its next Qwen open-weight AI model, Reuters reported, citing two people familiar with the company’s plans. The arrangement would require larger companies that generate revenue from offering the model as a service to reach a commercial agreement with Alibaba. The exact revenue-sharing rate has

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OpenAI aligns safety practices with EU AI Act’s GPAI Code

OpenAI has outlined how it aligns safety, security, and transparency work with the EU AI Act’s GPAI Code as enforcement approaches. The company has contributed to and endorsed the EU’s General-Purpose AI (GPAI) Code of Practice and the Code of Practice on Transparency of AI-Generated Content. Both emerged from multi-stakeholder processes. The GPAI Code sets

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Zuckerberg details Meta’s personal AI superintelligence strategy

Mark Zuckerberg has published a WSJ op-ed that argues superintelligence must reach individuals, not just a handful of institutions. The Meta chief published the piece as a statement of company philosophy rather than a product announcement. It contains no release dates, no benchmark figures, no named models. What it does contain is an argument that

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How AI is shortening drug discovery timelines in China

Insilico Medicine has reduced the time needed to produce some drug development candidates to about one year by combining artificial intelligence with laboratory research in China, according to CEO Alex Zhavoronkov. The Hong Kong-listed company’s fastest programme reached candidate nomination in nine months, while its typical timeline is about 13 months, Zhavoronkov said. He said

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OpenAI Presence sells enterprise AI agents with engineers attached

The newest way to buy enterprise AI agents from OpenAI does not involve buying anything online. OpenAI Presence, announced on July 22, is a managed product delivered through a limited general availability programme, and the company states plainly that it is not yet available as a self-serve product. Deployments are led by OpenAI’s own Forward Deployed Engineers

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AMD to invest up to $5 billion in Anthropic under AI infrastructure deal

AMD has agreed to invest up to $5 billion in Anthropic under an infrastructure agreement covering tens of billions of dollars’ worth of AI systems. Anthropic will deploy up to two gigawatts of capacity using AMD’s Instinct MI450-series accelerators, with deployment of the first gigawatt beginning in the first half of 2027. AMD’s investment will

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SenseTime’s Galaxy Project targets domestic AI chip scale-up

SenseTime has launched the Galaxy Project, teaming with nearly 20 partners to scale domestic AI chip infrastructure in China. In a keynote titled ‘Intelligent Transformation and Symbiosis,’ Yang Fan – the company’s co-founder and president of its Large Device Business Group – laid out what SenseTime describes as a closed loop connecting chip-level technology, ecosystem

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Google’s Gemini 3.6 Flash targets enterprise agent token costs

Google has released Gemini 3.6 Flash and 3.5 Flash-Lite as new workhorses designed to cut latency and token costs for enterprise AI agents. The economics of running autonomous software agents inside a production environment come down to a fixed equation few vendors advertise directly. A model needs to reason through a multi-step task competently, but

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