AI & Machine Learning

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, […]

A.I. is a political theory. And it is gobbling up our democracy.

A new field of “tokenomics” has emerged to measure the return on all the money companies are pouring into artificial intelligence.

Taking stakes in A.I. companies would not increase the government’s powers to control those companies. The opposite is more likely.

Over the years, tech workers have proudly worn nerdy company-branded gear. But this generation of hot companies is getting fancy with its merch.

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

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

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

TL;DR Agentic AI creates an accountability problem before it creates a technology problem. An AI agent can interpret goals, retrieve data, select tools, spend money, initiate workflows, and change business or technical systems. That authority cannot be assigned to an innovation committee, hidden inside a platform team, or treated as a normal software feature. The

British entrepreneur behind Olix raises $312mn from investors including Arm in effort to take on Nvidia