Better AI models enable more ambitious work

kept by eddie apr 20

A University of Chicago study of 500 companies found AI usage rose 44% as models improved, with developers shifting to more complex and cross-system tasks.

Alex Imas and Phil Trammell – What remains scarce after AGI?
Economists argue that after AGI, scarcity may shift to human-relational services, but the labor share's fate depends on whether new capital varieties prevent satiation.
also on University of Chicago, #productivity
Meet the Millionaire Masters of Early Decision at Colleges - The New York Times
Tulane and University of Chicago enrollment chiefs boosted early applicants, earning multimillion-dollar salaries.
also on University of Chicago
Scaling long-running autonomous coding
Cursor's multi-agent system, using planners and workers, scaled to run hundreds of autonomous coding agents for weeks on projects like building a browser, finding simpler coordination beats complex distributed-computing approaches.
also on Opus 4.5, GPT-5.2, Cursor, #ai-coding, #software-engineering, #productivity, #developer-tools
When AI writes almost all code, what happens to software engineering?
AI coding tools like Opus 4.5 and GPT-5.2 now generate 90%+ of code, fundamentally reshaping software engineering roles and skills.
also on Opus 4.5, GPT-5.2, #ai-coding, #software-engineering, #productivity, #developer-tools
Use multiple models - by Nathan Lambert - Interconnects
To get the most out of AI in 2026, the author recommends using multiple models for different tasks as each model has jagged capabilities.
also on GPT-5.2, #generative-ai, #ai-coding, #productivity