AI Is Running Into a $7 Trillion Wall
The rise of AI over the past two years or so has often been framed…
AI Is Running Into a $7 Trillion Wall
The rise of AI over the past two years or so has often been framed as a high stakes race. Bigger models, unbelievable company valuations, more compute and bigger datacenters. Every milestone reinforced the meteoric trajectory of AI’s growth. Could AI keep scaling without limit? Many hyperscalers and governments aligned around that vision, committing to…
The Terraform scaling problem: When infrastructure-as-code becomes infrastructure-as-complexity
Terraform promised us a better world. Define your infrastructure in code, version it, review it, and deploy it with confidence. For small teams running a handful of services, that promise holds up beautifully. Then your organization grows. Teams multiply. Modules branch and fork. State files balloon. And suddenly, that clean declarative vision starts looking a…
Nvidia’s SchedMD acquisition puts open-source AI scheduling under scrutiny
Nvidia’s recent acquisition of SchedMD, the company behind the Slurm workload manager, is raising concerns among AI industry executives and supercomputing specialists who fear the chip giant could use its new position to favour its own hardware over competing chips, whether through code prioritization or roadmap decisions. The concern, as industry sources frame it, is…
Enterprise developers question Claude Code’s reliability for complex engineering
When a coding assistant starts looking like it’s cutting corners, developers notice. A senior director in AMD’s AI Group has publicly needled Anthropic’s Claude Code for what she calls a tendency to skim the hard bits, offering answers that land but don’t quite stick. The gripe isn’t about outright failure so much as fading rigor,…
What enterprise devops teams should learn from SaaS
Many enterprise devops teams struggle to deploy frequently, increase test automation, and ensure reliable releases. What can they learn from SaaS companies, where developing and deploying software for thousands of customers is core to their revenue and business operations? SaaS companies must have robust testing, observability, deployment, and monitoring capabilities. One bad deployment can disrupt…
How to destroy a company quickly
Too many executives are cutting software engineering teams because they bought into the fantasy that AI can now build and maintain enterprise applications with only a few people around to supervise the machine. That idea isn’t bold. It isn’t visionary. It’s reckless, and more executives will suffer the consequences of their mistakes beyond just a…
Rust team warns of WebAssembly change
WebAssembly targets for Rust will soon face a change that could risk breaking existing projects, according to an April 4 bulletin in the official Rust blog. The bulletin notes that all WebAssembly targets in Rust have been linked using the –allow-undefined flag to wasm-ld, but this flag is being removed. Removing –allow-undefined on wasm targets…
Visual Studio Code 1.114 streamlines AI chat
Microsoft has released Visual Studio Code 1.114. The update of Microsoft’s popular code editor streamlines the AI chat experience, offering previews of videos in the image carousel for chat attachments, adding a Copy Final Response command to the chat context menu, simplifying semantic searches of codebases by GitHub Copilot, and more. Introduced April 1, VS…
Modernize business intelligence workloads using Amazon Quick – aws.amazon.com
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The AI Productivity Opportunity: Bridging the Technology Divide, Starting with Your Leadership
The greatest untapped AI isn’t a new model or a faster chip; it’s the executive team already sitting in your boardroom. For the past year, corporate America has been energized by a cycle of feverish investment. Organizations have poured billions of dollars into the promise of artificial intelligence, seeking new ways to create efficiencies, strengthen…
