AI & Machine Learning

The Dutch company’s monopoly is not at imminent risk but China is edging ever closer

TL;DR The real message behind the image is not that VCF NSX 9.1 creates one giant futuristic network map. The message is that networking is becoming a governed private cloud service. Application teams consume Virtual Private Clouds, subnets, gateways, and network services. Provider teams control the physical integration and shared architecture. Security teams add segmentation

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

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

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