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A brutal summer has exposed how much pressure European countries are under from forces largely out of their grip: war in Iran and Ukraine, record heat and more.
Wars, Wildfires and Migrants Leave Europe Straining for Control Read More »
Talented researchers and entrepreneurs have built a dynamic start-up ecosystem that deserves to be magnified
Europe must create an AI money-mobilisation machine Read More »
A new role for Demis Hassabis, the head of Google’s artificial intelligence unit, reflects reality at the tech giant. Investors remain worried.
Startup accelerator Y Combinator has long had a reputation for spotting exceptional first-time founders before anyone else. Lately, a different kind of founder has been showing up in greater numbers: one who has already participated in the highly selective program at least once. To dig into this trend, Crunchbase News analyzed a dataset of repeat
The Return Of The Repeat Founder: Inside YC’s Growing Class Of Second-Timers Read More »
Sometimes you have to fight fire with fire. But when it comes to AI slop and hateful content threatening the safety and value of social media platforms, adding more fire—in this case, more AI—can make the problem worse. At its best, social media can be a haven for people who want to share their experiences
AI isn’t enough to protect social media communities from AI Read More »
The math that lies behind Silicon Valley shorthand will help determine the future of America’s largest A.I. companies.
The A.I. Jargon That Will Help You Spot a Stock Downturn Read More »
TL;DR Prompt engineering becomes an enterprise operating model when prompts influence production behavior. Prompts need owners, versions, review gates, evaluation tests, deployment controls, monitoring, and rollback. A prompt that controls support answers, tool use, routing, security behavior, or customer communication should be treated like production logic, not a note in a shared document. Introduction Prompt
Prompt Engineering as an Operating Model: Versioned Prompts, Evaluation, and Governance Read More »
TL;DR Azure Local is best understood as a distributed infrastructure platform governed through a common Azure control plane. The electrical grid metaphor works because applications, data, and compute remain close to the locations consuming them, while identity, policy, monitoring, security, and automation provide consistent operating standards across the estate. The metaphor also needs boundaries. Centralized
TL;DR AI ROI is a monitored condition, not a permanent project status. A production AI use case should be described as currently realized and certified only while its baseline, outcome, complete cost, quality, risk, and operating assumptions remain valid. An AI system can remain technically healthy while its business case deteriorates. Provider pricing can change.
AI Business Value Drift: When Model Quality Holds but the ROI Quietly Disappears Read More »
TL;DR VCF 9.1 changes the economics and architecture of VMware disaster recovery by allowing virtual machines on vSAN, VMFS, and NFS datastores to replicate into a vSAN ESA target. It also supports fan-in designs where multiple source clusters use one centralized recovery site. The important design point is that a shared recovery site is not
Designing a Shared VCF 9.1 Recovery Site for vSAN, VMFS, and NFS Workloads Read More »
