We need governance built for the agentic era. As agents increasingly act on enterprise data, governance can no longer stop at access. It has to control what AI can do, give agents the context they need to understand the business, and offer the choice to work across clouds,
DATA
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Critique of AI benchmark using AI evaluation on public questions
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This was not a good benchmark before it was updated and it is not a good benchmark now. Having AIs evaluate the work of other AIs on publicly available questions from a different closed benchmark doesn’t tell you very much. And it is unclear how they establish the human ELO.
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Analysis of ChatGPT conversations from opted-in users with anonymization and aggregate results
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For this research, we analyzed only ChatGPT conversations from users who allow their data to be used to improve models. Before analysis, we removed account-linked identifiers and identifiable information, and we report only aggregate findings.
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OpenAI analyzes opt-in ChatGPT conversations after anonymization
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For this research, we analyzed only ChatGPT conversations from users who allow their data to be used to improve models. Before analysis, we removed account-linked identifiers and identifiable information, and we report only aggregate findings.
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Simulating deployment to predict model behavior before release
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We’re sharing new research on a method for anticipating how models may behave in real-world use before release: simulating deployment with recent, de-identified user requests and studying candidate model responses.
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Model crumbles due to weak infrastructure and pipelines
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Even a flawlessly tuned model crumbles under real-world production demands if the underlying data pipelines and legacy enterprise infrastructure can't support the required latency and continuous deployment cycles.
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Detecting infrastructure gaps early ensures AI production success
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Spotting infrastructure gaps early makes all the difference when dealing with data volume and legacy bottlenecks. Building that strong foundation is exactly what separates successful production AI from permanent pilots.
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Infrastructure plumbing determines AI pilot scalability and value
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The infrastructure plumbing determines exactly how far an AI pilot can scale. When legacy dependencies and data bottlenecks clog the system, even the most advanced models fail to deliver production value.
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Scobleizer’s AI reads 30,000 X posts daily to write essays
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Yes it can: https://
alignednews.com/ai Mine reads 30,000 posts a day here on X to write the essay it writes. Will try Data2Story. -
Mastercard executive discusses virtual C-suite for small businesses using Lakebase
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“We made a virtual C-suite. It serves small business owners by creating a suite of agents to help them manage cash flow, investments and more. Standardizing on Lakebase has been critical.” Fed Cohen Freue, EVP of AI & Data Operations at Mastercard, on how a unified