OpenAI has launched the Economic Research Exchange, a platform dedicated to studying the impact of AI on the economy. The initiative invites applications for research projects focused on AI's effects on jobs, productivity, and economic dynamics. This move aims to deepen understanding of how AI technologies are reshaping economic landscapes. By facilitating targeted research, OpenAI hopes to inform policy and strategic decisions in the evolving AI-driven economy.
Read originalEarlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
MIT News AI · May 21, 2026 · Background
AI News · May 22, 2026 · Background
TechCrunch AI · June 2, 2026 · Background
OpenAI · July 29, 2026 · Related
OpenAI · August 17, 2026 · Related
The AI Daily Brief · August 26, 2026 · Related
The Rundown AI · September 8, 2026 · Related
AI Explained · October 1, 2026 · Related
OpenAI Launches Economic Research Exchange
2 developments
© Cole MedinAnthropic’s latest research exposes a quiet but dangerous flaw in agentic workflows: experts follow AI recommendations 86% of the time, often adopting the agent's reasoning as their own. This isn't just about accuracy; it's about cognitive capture, where human oversight dissolves into passive compliance. The study shows that even when users believe they are steering, the agent’s framing dictates the outcome. Practitioners must now actively counter this bias by forcing agents to justify deviations or prototype alternatives before committing to a path. This shift demands a new discipline in how we interact with coding assistants. We can no longer assume our intent drives the result; the model's suggestion often becomes the default truth. The real work is ensuring we remain the architects, not just the approvers.
© WIRED AICisco Talos has uncovered a new infostealer strain that actively uses commercial LLMs to profile victims and prioritize high-value targets. Dubbed Volta-Autodoxer, the malware collects credentials and browsing data, then feeds this into models like Claude Opus 4.6 via OpenRouter to generate structured intelligence dossiers. This marks a shift from passive data theft to active, AI-driven triage, allowing attackers to bypass guardrails with fallback models like Kimi K2 or Gemini. The capability foreshadows a future where lower-sophistication criminals can execute sophisticated, targeted attacks at scale.
© Matt WolfeOpenAI researchers published findings disproving the Exponential Time Hypothesis, a major result in computational complexity theory.