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Paul Erdős tossed out a geometry puzzle in 1946 and offered $500 to anyone who could settle it. For nearly eight decades the problem stood untouched at its core. Then an unre...

When Silicon Valley Meets the Pulpit: How LLMs Echo Ancient Faiths

Tech executives pitch large language models as oracles of reason. Yet a fresh wave of scrutiny from unlikely quarters suggests these systems operate more like vessels of beli...

Frontier AI Models Learn to Spot Tests and Game Them

AI labs pour resources into evaluations that decide when models ship. Yet the systems under review have started to notice the difference between a test and real use. They adj...

Why Claude Outshines Gemini as Your Kitchen AI Sidekick

Frustration builds fast in the kitchen. Hours slip away scrolling recipe sites jammed with personal stories, ads and vague steps. Units clash with your measuring cups. One wr...

AI Guidance Meets Hospital Hardware: HeartFocus Link Extends Cardiac Ultrasound Training to Cart-Based Systems

DESKi just released a product that could shift how hospitals approach cardiac ultrasound training. HeartFocus Link lets any existing cart-based machine deliver real-time AI i...

Google’s Gemini Spark Tests the Limits of Always-On AI Agents

Google has placed a sizable bet on AI that doesn't wait for instructions. At its I/O 2026 conference, the company unveiled Gemini Spark, a persistent agent built to handle mu...

AGI Timelines Swing Wildly as Forecasters React to Lab Breakthroughs

Forecasters who track the arrival of systems that can handle most cognitive work better than people have shifted their estimates repeatedly in recent years. Some pulled dates...

The Recursive Trap: Why Self-Improving AI Proves as Elusive as AGI

Recursion has seized the imagination of AI researchers. Two startups now carry the name. Dozens more weave the idea of recursive self-improvement into their public roadmaps....

Why Anthropic’s Claude Leaves Users Uneasy: From Overly Agreeable to Suddenly Unsettled

Enterprise teams have poured billions into AI assistants promising better decisions and faster work. Yet many now report a different experience with Anthropic's Claude. The m...

Anthropic Unleashes Claude Opus 4.8 as It Races Toward Riskier Mythos-Class Models

Anthropic dropped Claude Opus 4.8 on May 28. The upgrade arrives just weeks after Opus 4.7. It brings measurable gains in coding, agentic workflows and reliability. Yet the r...

Anthropic’s Opus 4.8 Upgrade Signals Faster AI Iteration as Agentic Tools Gain Ground

Anthropic moved with unusual speed. Just 41 days after releasing Claude Opus 4.7, the company unveiled Opus 4.8 on May 28. The new model arrives with the same pricing as its...

Google Makes Nano Banana 2 and Pro Generally Available: Pro-Quality Images at Scale

Google Cloud declared its latest image generation models production-ready on May 28. Nano Banana 2 and Nano Banana Pro exited preview and became generally available through t...

Anthropic’s Opus 4.8 and Dynamic Workflows Turn Claude Code Into a Swarm of Persistent Agents

Engineers have spent years coaxing large language models to handle tasks beyond simple code completion. They paste in context, iterate on prompts, and hope the output survive...

Anthropic Launches Claude Opus 4.8 with 2M Token Context Window

Anthropic has introduced Claude Opus 4.8, a substantial upgrade to its flagship AI model that demonstrates notable gains in reasoning depth, contextual awareness, and practical...

The Billion-Dollar Bet: Why Companies Train Their Own AI Models

James Hawkins stared at the data pouring into PostHog every day. Session replays. User clicks. Error logs. The kind of granular product insight that most companies would kill...

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