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Artificial intelligence is the through-line of much of what I write, but these posts resist the hype cycle. Instead of chasing every model release or benchmark drama, they step back to ask what these systems actually do to the people who build them, deploy them, and live downstream of them. That means essays on the labor hidden behind "automation," the politics of training data, the strange new aesthetics of machine-generated text, and the quiet ways AI reshapes decisions in hiring, policing, healthcare, and governance. The thread connecting them is a refusal to treat AI as either savior or apocalypse. It is infrastructure now, layered into search and email and code editors, and the interesting questions are about power, accountability, and who gets to define "intelligence" in the first place.
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8 posts
Tags cut across topics, making them useful for recurring tools, ideas, and themes.
Topic Overlap
Reading Microsoft's modern stance on open weights feels surreal when you remember the 2001 WhiteHouse.gov Linux migration and the 2006 Novell deal. Here is why the modern 'open...
From Amman, the current open-source AI wave feels uncannily familiar. The same builder energy, the same elite gatekeeping, and the same fight over who gets to shape the future o...
Working with Jules gave me a concrete look at what AI coding agents are actually good at: absorbing context, handling the tedious middle, and forcing human engineers to operate...
A grounded look at the AI experiments that have been occupying my evenings: private proxies, Arabic-language reality checks, and an early podcasting setup powered by equal parts...
Arabic sentiment analysis sounds straightforward until dialects, morphology, and limited datasets enter the picture. This piece breaks down why the problem remains both difficul...
Long before ChatGPT, ELIZA showed how quickly humans project empathy, intention, and understanding onto software. That instinct still shapes both the appeal and the risks of mod...
A late-night dialogue with Claude 3.5 Sonnet pushed me past the usual AI hype and into the harder questions: opacity, variability, auditability, and how to use these systems wit...
What began as technical curiosity turned into something more personal: AI art gave me a low-friction way back into visual creativity and changed how I think about who gets to ma...
