







Founded in 1920, the NBER is a private, non-profit, non-partisan organization dedicated to conducting economic research and to disseminating research findings among academics, public policy makers, and business professionals.
Science in the Age of Algorithms
Founded in 1920, the NBER is a private, non-profit, non-partisan organization dedicated to conducting economic research and to disseminating research findings among academics, public policy makers, and business professionals.

Algorithms As a Vehicle to Reflective Equilibrium: Behavioral Economics 2.0
Founded in 1920, the NBER is a private, non-profit, non-partisan organization dedicated to conducting economic research and to disseminating research findings among academics, public policy makers, and business professionals.

The Effects of Mandatory Profit-Sharing on Workers and Firms: Evidence from France
Founded in 1920, the NBER is a private, non-profit, non-partisan organization dedicated to conducting economic research and to disseminating research findings among academics, public policy makers, and business professionals.

Climbing the Ivory Tower: How Socio-Economic Background Shapes Academia
Founded in 1920, the NBER is a private, non-profit, non-partisan organization dedicated to conducting economic research and to disseminating research findings among academics, public policy makers, and business professionals.

Writing Code vs. Shipping Code: Productivity Effects Across Generations of AI Coding Tools
How do the productivity effects of AI evolve across successive generations of tools, and to what extent do task-level gains ultimately translate into final outp
Writing Code vs. Shipping Code: Productivity Effects Across Generations of AI Coding Tools
How do the productivity effects of AI evolve across successive generations of tools, and to what extent do task-level gains ultimately translate into final outp
The Impact of Unconditional Cash Transfers on Consumption and Household Balance Sheets: Experimental Evidence from Two US States
Founded in 1920, the NBER is a private, non-profit, non-partisan organization dedicated to conducting economic research and to disseminating research findings among academics, public policy makers, and business professionals.

AI Code Is Producing a Quality Crisis Nobody Wants to Talk About
The productivity numbers look great. AI coding tools are everywhere.
AI Coding Agents: Adoption Trends - The JetBrains Blog
How many developers use AI coding agents (Claude Code, Codex, Cursor, JetBrains Junie, and others)? Evidence from the Developer Ecosystem Survey 2026.

Kilo - Pricing
Pricing for Kilo Code, the open-source AI coding agent for VS Code, JetBrains and the CLI

AI boosts worker productivity — but does that translate to final outputs? | MIT Sloan
A new study found that developers using AI tools can write much more code than those working without AI, but they don’t release as much new software.

Code Is Cheap Now, And That Changes Everything | Pere Villega
AI coding agents have made code production nearly free. Drawing on insights from Kent Beck, Paul Ford, and Simon Willison, this post argues that the value has shifted from writing code to defining systems — contracts, invariants, SLAs, and verification.

CanCode
CanCode funds not-for-profit organizations that support youth, especially underrepresented youth, in developing digital skills including coding and artificial intelligence knowledge.
Thanks to AI-powered tools, coding is more accessible than ever, but that doesn’t mean builders have decentralized tech know-how. Grey Area is offering an online course called “Beyond Big Tech” for community builders and designers building alternative tech futures! Apply by September 24th
Beyond Big Tech: Building Alternative Futures for Personal Data and Infrastructure
grayarea.orgIf you're going to cite that NBER report from OpenAI about "how people use AI," you've got to at least caveat it. We have no way to directly verify most of the report, and we do have at least one good reason, via indirect evidence and quoted below, to not trust it. nber.org/papers/w34255
Maria Antoniak
Not the point of the OP, but I was curious and took a closer look at this 2025 piece from OpenAI. Much could be said, but it fails my go-to test for all of these pieces about "how people actually use AI": the tokens "sex" "erotic" and "NSFW" do not appear in the paper.
"AI makes it cheaper to contribute to Open Source, but it's not making life easier for maintainers. More contributions are flowing in, but the burden of evaluating them still falls on the same small group of people. That asymmetric pressure risks breaking maintainers." also relevant to slop science