Reddit post on the current state of prompt engineering

A r/Singularity post derives ECI≈1.0721×AECI−8.982 from an ai-rnd-benchmarks uplift page, reporting Pearson r²=0.997 and putting "Model 4" at ECI 182.5.

In a Curt Jaimungal interview, the Nobel laureate describes seeking out areas where he believes everyone else is wrong, citing neural networks' eventual win over logic-based AI as a case where that instinct paid off.

A recurring r/ChatGPT thread asks users to share uncommon uses, with one poster describing a prompt that compiles "a comprehensive and complete list of all the things you helped me successfully accomplish" since starting with ChatGPT. Others describe monthly planning tied to life goals, weekly trackers for food, exercise and money, and using photo uploads to organize bathroom drawers.

In an interview, Mistral AI co-founder and CEO Arthur Mensch argues that depending on foreign AI for vital systems risks turning countries into client states, citing defence and the public sector as the most exposed areas.

Qwen Code's v0.27.0 release fixes managed-agent title settlement when the dispatcher claims a title first, and retargets the lifecycle integration test to retry snapshot claim deadlocks. Interactive tests now poll the foreground-shell frame instead of snapshotting it.