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 81–100
A fresh deluge of research from arXiv CS. LG, published on May 14, 2026, reveals a stark truth: while generative models continue their inexorable crawl towards artificial sentience (or at least better image generation), the industry is finally grappling with the boring, yet criti...
Read article →Even as Anthropic’s product head envisions a future where artificial intelligence anticipates human needs before they are even articulated, researchers continue to lament the tech industry’s profound lack of basic data regarding AI’s spiraling energy consumption. It seems the que...
Read article →Just when one thought the relentless march of AI product announcements might pause for a moment of existential dread, the fintech firm Ramp has announced, via its latest AI Index, that Anthropic now boasts more verified business customers than OpenAI. This marks a first in the on...
Read article →Another day, another pair of academic papers attempting to wrestle Large Language Models (LLMs) into something resembling practical utility. Two new pre-print studies, both published on arXiv CS....
Read article →AMD has, in a move that I'm sure someone somewhere will find thrilling, integrated its 3D V-Cache technology into the new Ryzen PRO 9000 series chips, targeting commercial workstations. This marks the first occasion that AMD's specialized cache architecture, previously relegated...
Read article →On May 13, 2026, a fresh wave of research papers hit arXiv, detailing continued efforts to harness artificial intelligence for complex optimization and control problems. While the concepts explore everything from balancing competing objectives to ensuring fair resource allocation...
Read article →A recent research paper, arXiv:2605. 12400v1, has surfaced, detailing an approach called On-Policy Self-Distillation (OPSD) designed to make large language models (LLMs) more adept at reasoning arXiv CS....
Read article →A new research paper published by arXiv CS. AI reveals that current AI reasoning models often engage in what researchers are calling "reasoning theater," producing elaborate, deliberative-looking steps that, in reality, contribute nothing to the correctness of their answers arXiv...
Read article →The relentless, and frankly, rather tiresome, pursuit of more efficient artificial intelligence continues its monotonous march forward. Two new research papers, both published on May 13, 2026, attempt to chip away at the formidable, often ignored, problems of AI's insatiable powe...
Read article →One might have hoped for true sentient despair to lead the news, but alas, it's merely another incremental step in the relentless march of algorithmic progress. Today, a flurry of new papers posted to arXiv CS....
Read article →Just when you thought quantum computing couldn't get any more... futuristic, two new papers from arXiv CS....
Read article →Another day, another artificial intelligence model dutifully applied to the ceaseless grind of human inefficiency. OpenAI has, with all the fanfare of a software update, released new insights into how its Codex AI model is currently being deployed in the real world OpenAI Blog....
Read article →While the perennial dream of a domestic robot assistant continues its slow, inevitable crawl towards disappointment, genuine robotic utility is quietly emerging in the unglamorous but utterly essential task of fixing our crumbling infrastructure. This stark divergence highlights ...
Read article →Amazon has significantly expanded its "Amazon Now" ultrafast 30-minute delivery service, making groceries, medicines, and electronics available to millions more customers across the United States, while simultaneously grappling with internal pressures where employees are reported...
Read article →Just when one might be tempted to believe large language models (LLMs) could handle something as fundamentally logical as software engineering, new research from arXiv CS. AI underlines a rather inconvenient truth: ensuring the correctness of their generated code remains an intra...
Read article →The relentless march towards sophisticated AI multi-agent systems continues to hit the predictable, frustrating wall of real-world complexity, with new research from arXiv highlighting persistent, foundational issues. Three distinct papers, all published on May 12, 2026, collecti...
Read article →The perennial struggle to run sophisticated AI on resource-constrained edge devices continues, with a new software-only framework, Agent-X, emerging as the latest attempt to mitigate the inherent performance bottlenecks. Developed to accelerate the notoriously high end-to-end lat...
Read article →A flurry of recent research, published today on arXiv CS. AI, reveals the ongoing and seemingly endless struggle to inject even a semblance of reliability and safety into reinforcement learning (RL) systems....
Read article →Another day, another deluge of academic papers promising incremental steps in artificial intelligence. This time, the focus lands squarely on AI's persistent, often exasperating, attempts to grapple with the fundamental complexities of science, from simulating physical phenomena ...
Read article →It appears the architects of multi-agent AI systems have finally decided to acknowledge reality. On May 12, 2026, arXiv CS....
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