Major AI labs publicly commit to automating AI R&D by 2026, signaling a shift from aspiration to strategic execution with significant implications for the industry.
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Strategy and Mastery
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Strategy and Mastery: This silo goes beyond email and covers broader marketing strategies. It includes list-building techniques, general marketing strategies, leveraging social media, and understanding search engine optimization as it relates to overall digital marketing.
AMÁLIA · The Three Hard Questions.
Portugal’s €5.5M AMÁLIA model is operational, outperforming some benchmarks, but key structural questions remain unanswered, raising policy and research concerns.
The Atlas. What the framework is.
An overview of the Post-Labor Transition Atlas, an empirical framework analyzing AI-driven labor displacement, policy responses, and structural alternatives as of 2026.
Fair-value appraisals for used GPUs and AI hardware
New approach proposes manual fair-value appraisals for used GPUs and AI hardware to improve resale pricing accuracy in secondary markets.
The Garment Rack Setup That Saves Studio Prep Time
Unlock efficient studio prep with a well-organized garment rack that simplifies your workflow and keeps everything within easy reach.
China Sphere Capability Gap, Q2 2026 Update: Five Labs, Five Strategies, One Narrowing Frontier
Chinese labs launched five frontier-tier models in April 2026, narrowing the capability gap with US leaders while leading in cost, licensing, and scale.
The Machine Economy — Capital-Heavy, Human-Light, Trading With Itself
Analysis of the emerging ‘machine economy’ where AI-driven firms operate with minimal human labor, reshaping markets and economic structures.
The Anthropic IPO Disclosure Document: What the S-1 Has to Say Before October
Ahead of its October IPO, Anthropic’s S-1 reveals critical financial and operational details, including revenue recognition disputes and regulatory considerations.
The Defender’s Counter-Cascade.
On May 11, 2026, Google disclosed the first confirmed AI-built zero-day exploit in the wild, highlighting the deployment gap in AI-driven cybersecurity defenses.
The Compounding Error Problem — Why 99.9% Alignment Decays to 60% in 500 Generations
Analysis of how 99.9% alignment accuracy deteriorates rapidly over multiple AI generations, raising concerns for recursive self-improvement safety.