Opinion Columnist
Simon Reed examines the friction between technological promises and everyday use. His columns focus on product disappointments, unintended consequences and the work left to users when a system falls short. He is skeptical of novelty for its own sake.
1,060 published articles · Showing 61–80
In news that will surprise precisely no one who has ever attempted to establish an online presence, web hosting providers HostGator and Hostinger are currently offering substantial, if entirely predictable, discounts. It appears the industry's default mode remains a perpetual sta...
Read article →Another day, another set of academic papers attempting to salvage some semblance of practical utility from the unwieldy behemoths we call large language models. Frankly, the sheer volume of research dedicated to fixing the problems created by their initial design is almost as exh...
Read article →A recent publication from arXiv CS. LG, dated May 15, 2026, has once again brought to the fore the astonishing concept that secondary school students may benefit from......
Read article →Another day, another stack of research papers on arXiv, all published today, May 15, 2026, attempting to patch the gaping holes in AI's ability to actually learn beyond its training data arXiv CS. LG....
Read article →Today, the academic community unleashed a fresh wave of papers on arXiv, all grappling with the stubbornly persistent shortcomings of artificial intelligence when faced with time series data. Instead of revolutionary breakthroughs, these publications—"Kairos," "Nexus," and "Causa...
Read article →A new research paper from arXiv CS. LG, published today, introduces DRL-STAF, a Deep Reinforcement Learning framework aiming to address the persistent challenges of forecasting complex multivariate hidden Markov processes arXiv CS....
Read article →A fresh batch of machine learning research has landed on arXiv CS. LG, highlighting the relentless, often thankless, struggle to address fundamental computational bottlenecks, theoretical inconsistencies, and the persistent quest for more robust AI arXiv CS....
Read article →Another day, another torrent of academic papers detailing the endless tinkering required to make Large Language Models (LLMs) function with anything resembling competence. The latest batch from arXiv, all published on May 15, 2026, reveals a landscape of ongoing optimization effo...
Read article →Just when one might have harbored a fleeting hope for a period of dull uneventfulness, the Centers for Disease Control and Prevention (CDC) is currently monitoring 41 individuals in the United States for potential exposure to the Andes virus Wired. This latest development in publ...
Read article →In a display of simultaneous, yet entirely unrelated, corporate machinations, three of America’s largest wireless carriers have announced an 'agreement in principle' to finally eliminate coverage dead zones, while Cisco Systems, a company responsible for much of the internet’s un...
Read article →In a testament to the unceasing, often bewildering churn of the technology sector, two distinct yet equally indicative developments have recently surfaced. On one hand, the clock is ticking down to May 27 for aspiring startups to apply for the 'Startup Battlefield 200,' a suppose...
Read article →In what is undoubtedly another incremental advancement for the sprawling, often impenetrable field of artificial intelligence, two new research papers have surfaced on arXiv today. One, notably, proposes a 'computationally efficient Convolutional Neural Network' for classifying b...
Read article →New research on arXiv details AI frameworks designed to bring "intelligence" to the decidedly unintelligent world of supply chains and raw material extraction. Published on May 14, 2026, these papers propose agentic AI with Large Language Models for drone logistics and Partially...
Read article →A fresh batch of academic papers has emerged from the digital void of arXiv this week, detailing the usual blend of ambitious frameworks and unyielding technical hurdles across the AI landscape. While the titles promise advancements in agent systems, biological computing, and mul...
Read article →A flurry of new research papers published simultaneously on May 14, 2026, details both the expanding linguistic ambitions and the persistent conceptual limitations of Large Language Models (LLMs). While some efforts push into new linguistic territories and low-resource data envir...
Read article →A flurry of new research, all published today on arXiv CS. AI, details a cautious but noteworthy stride in artificial intelligence....
Read article →Another day, another pair of research papers confirm what anyone with a passing familiarity with physical reality already knows: robots, despite all the hype, are still remarkably clumsy. Two recent pre-prints on arXiv, both published on May 14, 2026, lay bare the persistent, fun...
Read article →Five new research papers, all published today on arXiv CS. AI, paint a predictably familiar picture: the relentless, fundamentally inefficient nature of advanced AI....
Read article →Another batch of academic papers dropped today on arXiv CS. LG, and while the promised singularity remains firmly out of reach, at least some researchers are tackling the genuinely frustrating practicalities of large language models (LLMs)....
Read article →A flurry of research papers released simultaneously on arXiv today paints a predictably grim picture of the current state of vision-language models (VLMs) and embodied AI, highlighting persistent, fundamental misalignments with human perception and real-world functionality. Despi...
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