AI 2025 trends

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Matt Murphy of Menlo Ventures.

‘A Rare Land-Grab Moment’: Menlo Ventures’ Matt Murphy On The Next Wave of AI And Putting $3B In New Capital To Work

In June, Menlo Ventures footnote]Menlo Ventures is an investor in Crunchbase. They have no say in our editorial process. For more, head here.[/footnote] announced $3 billion in new capital across two funds, marking the largest raise in its 50-year history.  Menlo Ventures XVII will invest primarily in seed and Series A companies, while Menlo Inflection

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Contemporary AI lacks the imagination to diverge or negate in science

Bold projections that artificial intelligence will accelerate scientific discovery have raced ahead of evidence from working scientists, and the field still lacks large-scale, scientist-in-the-loop tests of these claims. Here we mount the largest such evaluation to date and map what AI cannot yet do for science. We invited authors of 121,640 recent preprints across biology,

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Designing Knowledge Bases for RAG: The Data Architecture Most Teams Skip

TL;DR A RAG knowledge base is not a document dump. It is a governed data architecture layer that needs source curation, ownership, metadata, chunking strategy, security trimming, freshness controls, retrieval evaluation, and lifecycle management. If the knowledge base is weak, the model will produce polished answers from poor context. Introduction A RAG project usually fails

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Newer VKS Versions Missing from vCenter: Finding and Registering Asynchronous Releases

TL;DR A newer VMware vSphere Kubernetes Service version may be fully released and still not appear in the vCenter upgrade dropdown. Broadcom KB 439327 explains that this is expected for asynchronous VKS releases. The dropdown automatically shows the VKS versions embedded in the installed vCenter build, while later asynchronous releases must be registered manually by

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On-Prem Private AI Series: HPE Private Cloud AI with NVIDIA as the Turnkey Private AI Consumption Pattern

TL;DR HPE Private Cloud AI with NVIDIA is the private AI option for organizations that want a more packaged, cloud-like, turnkey private AI experience. Compared with VMware’s private cloud continuity model and Dell’s validated OpenShift-centered AI factory pattern, HPE’s center of gravity is consumption simplicity. It is designed to help teams move from AI pilots

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