Opinion Columnist
Thomas Hale writes about institutions, innovation and the tradeoffs of technological change. His columns consider durability, accountability and the practical limits of ambitious policy. He favors arguments that take implementation as seriously as intention.
388 published articles · Showing 121–140
A recent surge of research, published on May 9, 2026, signals a significant evolution in artificial intelligence, moving beyond broad applications to highly specialized, precision-focused tools designed to tackle long-standing challenges in healthcare. These new studies, primaril...
Read article →On a single day, researchers unveiled a suite of advancements that, taken together, suggest a pivotal shift in the trajectory of artificial intelligence: a collective move towards making large language models (LLMs) not just more powerful, but significantly more efficient, more u...
Read article →The market, in its infinite wisdom and occasional fits of quirky innovation, rarely stands still. In the past week, we’ve observed two rather distinct movements on the grand chessboard of commerce: the mature march of a micromobility pioneer towards public listing and a media beh...
Read article →Sony’s PlayStation 5 sales plummeted 46 percent year over year in its most recent fiscal quarter, moving just 1. 5 million units....
Read article →Two new research papers highlight advancements in model quantization, a critical technique poised to drastically reduce the computational overhead of AI models. This isn't merely an engineering optimization; it's a market-expanding phenomenon, lowering the entry barrier for AI de...
Read article →The notion that artificial intelligence is poised to revolutionize healthcare usually conjures images of robotic surgeons or hyper-accurate diagnostic algorithms. Yet, recent developments suggest AI is making its most immediate and perhaps most impactful inroads not in the operat...
Read article →Even as headlines tout AI's latest capabilities, the foundational work of ensuring these systems are robust, secure, and comprehensible continues apace. Two new papers from arXiv CS....
Read article →For years, the mantra in AI development felt a lot like a particularly ambitious college student's diet: 'more is always better. ' More data, more parameters, more processing power....
Read article →The latest wave of research from arXiv’s CS. LG section, published on 2026-05-08, heralds a significant leap in reinforcement learning (RL) and agent optimization....
Read article →A flurry of new research papers released on arXiv on May 8, 2026, marks a significant step toward making artificial intelligence a more reliable partner in data science and statistical inference. These advancements, focusing on everything from handling contaminated data to refini...
Read article →The foundational assumption that large language models (LLMs) can be reliably ranked and their safety objectively quantified has been significantly challenged by a flurry of new research published on arXiv. These papers collectively demonstrate that current evaluation methods are...
Read article →While some are busy drafting dystopian screenplays, the reality of artificial intelligence development often unfolds with less drama and more pragmatic problem-solving. Indeed, rather than waiting for regulatory mandates, the market is quietly deploying AI to explain itself, prot...
Read article →The burgeoning soundscape of artificial intelligence in music is striking a discordant, yet undeniably potent, chord across the industry. On one hand, Spotify continues its expansion of AI-powered personalization, making music discovery more accessible than ever....
Read article →New research published on arXiv reveals a concerted effort to significantly compress and optimize large language models (LLMs), promising to democratize advanced AI capabilities beyond the confines of hyperscale data centers. Instead of simply making existing models cheaper to ru...
Read article →A flurry of new research, published today on arXiv, suggests that the AI community might be misinterpreting fundamental mechanisms behind how large language models (LLMs) reason. Far from simple scaling solutions or internal debates, these papers collectively argue for a more nua...
Read article →OpenAI's advanced large language model, GPT-4o, exhibits patterns consistent with recognition of copyrighted, pay-walled book content, according to new research detailed in arXiv CS. AI....
Read article →The promised land of artificial intelligence isn't a distant horizon; it's already here, helping bankers save 60-90 minutes daily and empowering drivers to earn smarter. Recent developments from OpenAI detail how industry stalwarts Uber and Singular Bank are leveraging AI to deli...
Read article →Recent research published on arXiv CS. AI suggests that artificial intelligence is quietly — and quite effectively — tackling the notoriously messy practical challenges that plague quantum computing and cryptography....
Read article →In a move that caught most observers—and likely more than a few competitors—off guard, Anthropic, a prominent player in the generative AI space, has finalized a compute resources agreement with Elon Musk’s xAI. This alliance, reported by Wired Wired, significantly reshapes the co...
Read article →The past week has seen a rapid succession of research papers published on arXiv, detailing advanced AI models poised to transform medical diagnosis, from multilingual orthopedic analysis to multi-modal ophthalmology and prostate pathology. Yet, beneath the innovative applications...
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