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    This week in AI updates: Google’s Information Commons MCP Server, shared initiatives in ChatGPT, and extra (September 26, 2025)

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    Home»Software Development»This week in AI updates: Google’s Information Commons MCP Server, shared initiatives in ChatGPT, and extra (September 26, 2025)
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    This week in AI updates: Google’s Information Commons MCP Server, shared initiatives in ChatGPT, and extra (September 26, 2025)

    adminBy adminSeptember 26, 2025Updated:September 26, 2025No Comments5 Mins Read
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    This week in AI updates: Google’s Information Commons MCP Server, shared initiatives in ChatGPT, and extra (September 26, 2025)
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    This week in AI updates: Google’s Information Commons MCP Server, shared initiatives in ChatGPT, and extra (September 26, 2025)


    Google provides Information Commons MCP Server, new variations of Gemini 2.5 Flash and Flash-Lite

    The Information Commons MCP Server permits AI builders to simply entry all of Information Commons’ publicly obtainable datasets. It may be accessed by way of the Gemini CLI or in Google Colab, and Google has a pattern agent in Colab as nicely to make it simpler to get began.

    The latest model of Gemini 2.5 Flash-Lite options higher instruction following, extra concise solutions to scale back token prices, and stronger multimodal and translation capabilities. The up to date Gemini 2.5 Flash gives higher agentic software use and is extra environment friendly, resulting in reductions in value.

    OpenAI provides shared initiatives to ChatGPT Enterprise subscribers 

    Shared initiatives enable a number of individuals so as to add recordsdata and directions to a challenge, in order that ChatGPT can present extra tailor-made responses for everybody concerned.  “Members can chat with the challenge’s context to remain on the identical web page as new info will get added and create work that stays constant in tone and elegance,” OpenAI defined.

    The corporate additionally added new connectors for Gmail, Google Calendar, Microsoft Outlook, Microsoft Groups, SharePoint, GitHub, Dropbox, and Field. This enables ChatGPT to supply extra related solutions based mostly on info in these instruments.

    Lastly, ChatGPT now has ISO 27001, 27017, 27018, and 27701 certifications; an expanded SOC 2 report; role-based entry controls; and enhanced SSO.

    Microsoft unveils reimagined Market for cloud options, AI apps, and extra

    Microsoft has restructured its Market to function a central place for organizations to seek out cloud options, AI apps, and brokers.

    This new reimagining brings collectively Azure Market and Microsoft AppSource to simplify cloud and AI administration, Microsoft defined.

    It consists of tens of 1000’s of cloud and trade options that may assist with every part from information and analytics to productiveness to safety. It additionally options greater than 3,000 AI apps and brokers.

    CData launches Join AI to supply brokers entry to enterprise information sources

    CData has introduced the launch of a brand new managed Mannequin Context Protocol (MCP) platform bringing collectively AI assistants, agent orchestration, workflow automation, and embedded AI functions—mixed with entry to over 300 enterprise information sources.

    Based on the corporate, Join AI preserves information semantics and relationships in enterprise information to offer AI brokers higher context whereas nonetheless offering governance over that information entry.

    CData’s Join AI inherits the prevailing safety and authentication protocols arrange within the supply system. Information entry will get logged below the id of the authenticated person or agent, and extra controls might be layered on high and managed in Join AI.

    Snowflake and different information corporations be part of forces to develop vendor-neutral commonplace for semantic metadata

    Numerous information corporations—together with Snowflake, Salesforce, BlackRock, dbt Labs, and RelationalAI—have introduced the formation of a brand new open supply initiative to create a vendor- impartial commonplace for outlining and sharing semantic metadata.

    The Open Semantic Interchange has three principal objectives: improve interoperability throughout instruments and platforms, speed up adoption of AI and BI functions, and streamlining operations.

    Based on the group, organizations depend on a patchwork of AI, BI, and analytics instruments, and this initiative will develop a shared semantic commonplace that enables these instruments to “communicate the identical language.”

    By standardizing how semantics are outlined and shared, the Open Semantic Interchange hopes to make sure that information is ruled, constant, and context-rich, serving to with adoption of AI.

    AWS launches IDE extension for constructing browser automation brokers

    AWS has introduced the launch of its open supply Nova Act extension, which permits builders to construct browser automation brokers of their IDE, lowering the necessity to swap between dev and check environments.

    With the brand new extension, builders can use pure language to explain their workflow after which the Nova Act extension will generate an agent script. That script can then be modified in a notebook-style builder, the place builders can combine APIs, information sources, and authentication, and might validate it with native testing instruments.

    “This extension transforms my agent growth workflow by positioning Nova Act extension as a full-stack agent builder software—an entire agent IDE for the whole growth lifecycle. I can prototype with pure language, customise with modular scripting, and validate with native testing—all with out leaving my IDE—guaranteeing production-grade scripts,” Donnie Prakoso, principal developer advocate at AWS, wrote in a weblog put up.

    Sentry’s AI code evaluate is now in beta

    The answer makes use of AI to determine and repair points in code. It’ll routinely flag high-impact points in pull requests in order that builders can perceive the place and why a bug would possibly happen. It might additionally detect typos, formatting errors, and logical errors in pull requests. Lastly, it may well generate unit checks for the code in a pull request.

    “The one factor simpler than debugging errors with Sentry is having fewer errors to debug within the first place,” stated Rohan Bhaumik, senior product supervisor at Sentry. “By combining predictive error detection with automated testing, AI code evaluate dramatically reduces wasted time in code opinions, strengthens check protection, and lets groups merge with confidence.”


    Learn final week’s updates right here: OpenAI Codex updates, Claude integration in Xcode 26, and extra (September 19, 2025)



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