Tech

Veeam Research: Who is Responsible for Rogue AI Behaviour?

Research from Veeam puts in contrast the rampant AI adoption with the lack of accountability and readiness, opening enterprises up to regulatory & AI risk

How courts are coping with a flood of AI-generated lawsuits

Judges are wondering what rights and duties chatbots should have as they stand in for lawyers.

Perplexity CEO: Value Per Watt Will Define AI Winners

Perplexity is expanding agentic AI with Anthropic models and rolling out Personal Computer to maximise economic value per watt across Windows and Mac

Elemental Impact Rallies Big Tech for Data Centre Innovation

Backed by Microsoft, Google, Meta and Amazon, Elemental Impact launches the Data Center Innovation Initiative to accelerate digital innovation

The AI hype cycle will slow down. What's next decides the winners

Artificial Intelligence is entering the late stage of its hype cycle.

Google DeepMind CEO says we don't have much time to prepare for the 'new human era'

Google DeepMind CEO Demis Hassabis said AGI is just a few years a way and that humanity doesn't have much time to prepare for it.

Amazon develops a warehouse robot that workers can speak to

Posts from this topic will be added to your daily email digest and your homepage feed.

Complexity is the ceiling: software design in the age of AI coding

AI has made writing code faster than ever. The harder work is understanding a system and changing it without breaking it. That has not gotten cheaper, and it now decides how much you can hand to a machine.

AI is ushering in a new era of colonialism

Information gathering has replaced Imperial-era land seizures.

Code Puppy: Walmart's Secret Weapon Against AI Lock-in

Walmart's viral Code Puppy AI tool helps avoid vendor lock-in, cut costs, and reduce dependence on Claude Code and Codex.

Predicting model behavior before release by simulating deployment

Using realistic conversation contexts to better estimate undesired model behavior before release.

Introducing the OpenAI Partner Network

The limiting factor for seeing value from AI in the enterprise is no longer model capabilities. Instead, it’s how organizations repeatably identify the right use cases, redesign workflows, integrate with existing systems, and drive adoption and change management at scale.