The Humanoid Robotics Reality Check: Q2 2026 Pilot-to-Production Status

Humanoid robotics in 2026 shows ongoing shipping at pilot and mass production levels, with Chinese firms leading in volume, Western firms in prestige pilots.

White-collar professional services. The Tier 1 displacement.

Major shifts in white-collar professional services include significant reductions in graduate hiring and AI-driven job displacement, especially in legal, banking, and accounting sectors.

The Death of the Identical Paragraph

The longstanding wire service model is collapsing as AI rewriting reduces the need for syndication and shared paragraphs, raising questions about attribution and economics.

The Bubble Question, Disentangled: 1999 vs 2026 Category by Category

A detailed comparison of AI investment dynamics in 1999 and 2026, highlighting bubble signals, real value, and future implications for stakeholders.

Building an AI Trading Bot — Week One: Why a 90 % Win Rate Can Still Lose Money

An experimental AI trading bot shows high win rates but still risks losing money due to market dynamics. Key insights from week one of testing.

Cybersecurity operations signal monitor: A backdoor in a LinkedIn job offer

Cybersecurity analysts have identified a backdoor in a LinkedIn job offer, raising concerns over potential exploitation and corporate security risks.

What Makes VR and Simulator Setups Feel Immersive

What makes VR and simulator setups feel immersive? Discover the key elements that create a convincing, multisensory experience that truly transports you.

The Stanford AI Index 2026 Audit: Reading the Field’s Annual Report Card With a Critic’s Pen

An analysis of the Stanford AI Index 2026, highlighting its strengths, limitations, and implications for policymakers and industry leaders.

ALIA. The Spanish answer.

Spain’s ALIA project, a €240M public-funded multilingual AI model, demonstrates structural capabilities and strategic positioning within European AI efforts.

The Ghost Story Became a Forecast.

Clark’s recent essay reveals a bivalent forecast for AI development, with a 60% chance of automated AI R&D by 2028 and a 40% possibility of fundamental paradigm failure.