When data grows faster than the systems around it, complexity becomes the default....

A History of the AI Incident-o-pocalypse in B-Movie Horror Posters | QA Wolf It's in the headlines. It's in the codebases. It's in the retros of companies who were certain it wouldn't happen to them. And it won’t stop u…

Songs created by AI banned from Australia's music charts 4 days ago Simon Atkinson ARIA Songs must be "substantially human made" to be included in Australia's charts Songs that are largely or wholly created by AI have b…

Vercel has open-sourced vgpu, the WebGPU library it built to ship the shaders on vercel.com. It treats .wgsl files as importable TypeScript modules, runs the same shader in the browser, in headless Node.js via Dawn, and in a deterministic CI mock, and ships a fullscreen effect in 25 KB gzipped. The post Vercel AI Open-Sources vgpu: A TypeScript WebGPU Library for AI Agent Shaders appeared first on MarkTechPost.

How I Design with AI.

Want to organize your photos but don't know where to start? Here are my methods for tackling a massive cloud library.

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Scaling AI in business is less about technology and more about accountability, governance, and healthy relationships between humans and agents.

It Was Never You — Re-write their wrongs The app Personal history is now editable. How it works Three steps to a rewritten timeline. Choose who leaves your past and who takes their place. No manual editing, no cloning t…

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Decathlon, one of the world's largest sporting goods retailers, forecasts weekly demand for tens of thousands of products across multiple continents. Learn how they deployed Chronos-2 on AWS to improve forecast accuracy by 11-15 points while cutting operational complexity and running weekly inference for about $0.03 on CPU-only instances.

Learn how Salesforce used Amazon SageMaker AI Inference Component placement (the SchedulingConfig parameter) to distribute model copies across multiple Availability Zones, meeting their Multi-AZ high availability compliance requirements without sacrificing the cost efficiency of multi-model co-hosting.

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People who think current AI use is unsustainable often rely on the claim that inference GPUs only last “three years at the most” under load1. The idea here is that once the AI bubble money drains away, current infrastru…

myAIcademy is an AI learning platform designed around your specific role and team, helping people gain relevant AI skills for their real work.

Why AI Companies Are Buying—And Then Destroying—Old Books | Open Culture --> --> --> --> --> --> Why AI Companies Are Buying—And Then Destroying—Old Books Why AI Companies Are Buying—And Then Destroying—Old Books in Boo…

I've spent most of my career working inside the JVM, with a sidebar of Python. So the first time I hit incompatible libc with containerized Bifrost, and GPT suggested musl as the solution, not only did I jump on it, I m…

In the last three years a model learned to write in minutes what took a person a day, and the pace of change in codebases rose to match. Attention did not get cheaper. An engineer's focused hour is the same hour it was…

Government says Green leader’s proposed moratorium on ‘energy-guzzling’ AI projects would be disaster for economy Labour has rejected calls to pause construction of major AI infrastructure in Britain after the Green party leader, Zack Polanski, said it was time to “slam the brakes on these energy-guzzling, water-guzzling datacentres”. The government hit back at the opposition party’s proposal of a “moratorium other than [for] local-scale datacentres for the local community”, saying it “would be a disaster for jobs and national security”. Continue reading...

As he negotiates Australia’s AI future, the prime minister is under pressure from leaders of conservative states and territories Australian Politics podcast: Who actually benefits from new datacentres in Australia? Get our breaking news email, free app or daily news podcast Tucked away at the end of a media release from the Australian Energy Market Operator this week was a data point worthy of national attention. Releasing its annual snapshot of electricity supply and demand, the regulator revealed consumption by datacentres in Australia was forecast to increase from about 3% of all electricity supplied through the national grid today to about 13% by 2035. Continue reading...

If you're a student, writer, or professional juggling documents, this app can help keep you organized.

Open-source production inference Give InferCrane a model. Get a production endpoint. Deploy a model or connect what already runs. InferCrane operates it behind one stable endpoint. Join the Cloud waitlistView on GitHub…

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The Four Sandbox Markets: A 2x2 Hypothesis TL;DR There are a lot of sandboxes these days. I was starting to lose my sanity. I therefore devised a 2x2 framework that categorizes sandboxes based on two dimensions, resulti…

Nvidia’s record quarter shows AI demand is still surging as the infrastructure race expands into CPUs, networking, robotics and edge computing.

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A practical framework for choosing the right tools at each layer of your local AI setup, from model serving to context retrieval.

The artificial intelligence juggernaut kept cruising along this week thanks to big earnings results from Nvidia — and even Salesforce, the supposed epicenter of the SaaSpocalypse. Nvidia not only beat all expectations for revenue, CEO Jensen Huang (pictured) indicated it’s going to be capacity-constrained for awhile longer, which certainly indicates no diminution of demand. Likewise […] The post It’s Nvidia’s world. We just live in it appeared first on SiliconANGLE.

Research suggests a gap between AI ambition and on-the-ground reality, but the good news is that professionals can fill it by focusing on well-grounded explorations and solid production use cases.