All my posts from across the web, aggregated in one open source location. Bluesky posts update at build time. X and LinkedIn posts are imported from exports.
Lots of great research predicting the effect of AI on wages, unemployment, the labor income share and more. This first microsimulation experiment shows the possibilities of translating those market effects into household resources through public policy.
CIO can prep some reliable examples (which is probably most examples at this point with the best models)
Check out the tool Representative McDonald Rivet cited when releasing the bill: policyengine.org/us/working-parents-tax-relief-act
Slides from my panel discussion at the CIO4Good conference: policyengine.org/slides/cio4good-talk
Slides from my workshop, co-facilitated with @brhkim.bsky.social: policyengine.org/slides/cio4good-workshop
Yesterday I told 70 nonprofit CIOs to lock their CEO in a room and make them use coding agents.
AI gives enormous new resources to pursue a mission. No other way to internalize it and expand your thinking of what's possible.
Great conversations with researchers and technologists at the inaugural Google / MIT FutureTech AI for the Economy Forum today. Big opportunity uniting approaches to accurately model the impact of AI on the economy, and the impact of public policy in shaping that relationship.
Grateful to the Berkeley IEOR magazine for sharing our work localizing evidence-based policymaking @policyengine.org
ieor.berkeley.edu/wp-content/u...
straude.com/leaderboard
Hooked up Straude today and discovered I'm #1 this week globally — $20K in token volume at list prices, 3.3× ahead of #2. About 40B tokens in 7 days between Codex and Claude Code.
Here @jasondebacker.bsky.social, @roxanagonzalez.bsky.social and I elicit LLMs' views on how people respond to tax policy by assigning them personas. As we increasingly consult AI for policy advice, their assumptions on these dynamics will alter predictions. Much more to learn along this frontier.
OpenAI's new document for these tax and transfer policies:
- Higher taxes on capital gains and corporate income
- Taxing sustained AI-driven returns and automated labor
- Wage-linked incentives
- A Public Wealth Fund distributed directly to citizens
- Automatic stabilizers
openai.com/index/indust...
blackbaud.swoogo.com/cio4good2026
Speaking at the CIO4Good Summit next Tuesday in Arlington — two sessions on AI in nonprofits.
9am panel on building data + AI foundations: governance, culture change, getting AI working across an organization.
10:15am hands-on workshop on AI-driven software development for nonprofit teams.
Great to see this from the Living Wage Institute team. I met their co-founder in NYC last week and learned more about their work giving employers a clearer picture of taxes and credits affecting their hourly workforce. Glad to see PolicyEngine powering the tax calculations behind it.
Built an interactive viz of Dell (2010) on Peru's mining mita — colonial forced labor abolished 200+ years ago that still shows up in child stunting, consumption, and road density today.
The map morphs into a scatter plot as you scroll. Districts become data points.
maxghenis.com/mita
To clarify I mean OpenMessage has no servers, it operates on your own machine so you can use the AI tools of your choice with its MCP. Agree that getting it working with a local LLM would be killer.
In February, I launched OpenMessage — an open source local AI-connected MacOS app for Google Messages.
Just redesigned it and added WhatsApp support. Now my daily driver for both chat surfaces.
Free and open source: openmessage.ai
Berkeley and Hoover economists make several diverging assumptions around California's billionaire tax, resulting in dramatically different revenue estimates. We've put them all in a tool you can explore - updating daily from the Forbes list.
We looked at every general-purpose chip on the market, and none of them could compute a marginal tax rate fast enough. So we made our own.
farness is free, open source (MIT), and works anywhere: Claude Code plugin, Codex agent, MCP server, Python library, CLI.
If your agent gives advice, make it forecast first.
farness.ai
This is an example X post. Export your X archive and run the import script to populate this file with your real posts.
This is an example LinkedIn post. Export your LinkedIn data and run the import script to populate this file with your real posts.
This feed combines posts from multiple platforms. Here's how to keep it updated:
npm run import-x to convert it
npm run import-linkedin to convert it