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Claude Mythos is being hailed as the most advanced coding model ever developed, with experts suggesting it may represent a form of artificial general intelligence. Its restricted access and unprecedented capabilities raise urgent ethical and socioeconomic questions.

China is attracting top AI talent from Silicon Valley with competitive salaries and improved quality of life, even as U.S. authorities crack down on alleged espionage. Former Google engineer Linwei Ding’s conviction highlights the growing rift.

The AI industry is grappling with 'tokenmaxxing'—the excessive use of language model tokens—as companies like Microsoft and Anthropic face scrutiny over computational waste. Experts warn that unchecked token consumption could undermine sustainability and cost-efficiency.

A new Muckrack study reveals that one in four quotes in AI chatbot responses comes from journalism, highlighting the outsized role of trade and specialist outlets. General news organizations are cited less frequently, raising questions about information bias in generative AI.

A new analysis of 15 million AI-generated citations reveals that one-quarter originate from journalistic content, with specialized media gaining disproportionate visibility. This trend underscores journalism’s growing role as foundational data for large language models.

The main skill in software engineering is increasingly knowing what to ask AI—not how to code. Experts warn of cognitive debt, burnout, and identity loss as engineers transition from builders to overseers.

ZOZO has launched AZARS, a proprietary AI readiness score designed to evaluate all employees regardless of role. The metric enables organizations and individuals to measure AI adoption on two critical axes.

A new Google Flow tutorial integrates AI advancements with federal disaster preparedness guidelines, offering users a unique fusion of technological literacy and public safety. The synthesis reveals how AI education platforms are expanding beyond technical skills to include societal resilience.

Consumer-directed care powered by AI-powered WayFinding is transforming healthcare access and decision-making. Transcarent’s integrated platform enables patients to navigate complex systems with agentic support, not just search.

The public needs to control AI-run infrastructure, labor, education, and governance—not private actors. A growing chorus of experts warns that corporate dominance risks democratic erosion and social inequity.

Enabling agent-first process redesign is transforming how organizations automate workflows. Unlike legacy systems, AI agents learn and adapt in real time, requiring fundamental rethinking of operational structures.

Context engineering for AI agents is transforming how intelligent systems process information, turning limited context into a strategic advantage. Experts reveal how semantic layers and dynamic prompting are redefining agent performance.

Francis Bacon’s vision of mastering nature offers profound warnings for today’s AI revolutionaries. His empirical rigor and ethical caution remind us that technological power must be tempered by wisdom.

A bulletproof data recovery strategy is no longer optional—it’s essential for modern enterprises facing ransomware, hardware failures, and unexpected outages. Learn how proactive planning and robust protocols can prevent catastrophic losses.

Tech layoffs are accelerating as major companies redirect resources toward artificial intelligence. Experts warn the long-term impact on employment remains uncertain.

New independent tests reveal the true state of China's AI progress, challenging exaggerated claims and highlighting strategic advancements in foundational models and hardware resilience. These findings come amid global scrutiny of AI development trajectories.

OpenAI has unveiled a new policy framework addressing the impact of AI on enterprise workers, positioning itself as a responsible actor in the AI revolution. The move comes amid growing scrutiny over automation's role in job displacement and corporate accountability.

How to think about AI like a long-term investor means embracing compounding gains, not just breakthroughs. The real value emerges over time, much like compound interest in finance.

The one piece of data that could actually shed light on your job and AI is emerging as a critical metric for policymakers and businesses. New insights from Anthropic and The Information reveal a shifting landscape where AI’s impact on employment is more nuanced than feared.

New research reveals that frequent AI users are increasingly surrendering their cognitive autonomy, abandoning logical reasoning in favor of algorithmic outputs. Experts warn this 'cognitive surrender' may erode human decision-making capacity.

OpenAI proposes a bold economic blueprint featuring robot taxes, public wealth funds, and a four-day work week to address AI-driven inequality. The plan, echoed by thinkers like Ray Dalio, calls for redistributing AI-generated wealth to stabilize society.

How much could AI revolutionize the economy? New analysis reveals how scaling laws in AI systems and automation trends are reshaping GDP forecasting and economic modeling. Experts warn that without proper data normalization, AI-driven economic predictions risk significant distortion.

AI vision evolution has been driven by transformer architectures, replacing legacy models with unprecedented accuracy and scalability. This shift enables real-world applications from autonomous driving to medical imaging.

ChatGPT is being used for over 600,000 weekly health queries in U.S. hospital deserts, with seven in ten occurring after regular clinic hours. Millions rely on the AI for medical advice where access to care is limited.