TL;DR
NOVAH (No Violence At Home) was incubated by Charity Entrepreneurship (now Ambitious Impact) in 2024 to test a promising idea: preventing intimate partner violence through edutainment, in our case a serialised radio drama. Over the past two years we have produced and aired two seasons in Rwanda.
We are currently evaluating our second season through a randomized controlled trial with 2,400 couples in Rwanda in partnership wi...
TL;DR
* The Long-Term Future Fund is closing down, and EA Funds is launching the Transformative AI Fund with a new full-time team.
* The fund's primary focus is technical AI safety and AI governance (including post-AGI governance), as well as supporting fields such as field-building and forecasting. We'll also consider non-GCR implications of transformative AI such as flourishing futures and digital...
The current Long Term Future Fund (LTFF) fund managers and I have decided to step back from our work on the LTFF. Because we believe LTFF donors trusted the fund managers to ensure that the funds would be used in line with the purposes of their donation, we've decided the right move is to close the fund.
While LTFF is closing, note that EA Funds has launched a new fund...
I was debugging something last week and had this weird moment where I could tell immediately that the output was wrong but had no idea how to fix it. Sat there for like twenty minutes just staring at the error, knowing exactly what wasn't working and zero clue what would.
And I realized — this isn't just a programming thing.
It shows up everywhere once you look. In science: disproving a hypothesis takes one counterexample, proving it takes forever. Learning a language: you can hear bad grammar way before you can produce good grammar. I spent a year in France and by month three I could tell when someone sounded off. By month twelve I still couldn't order food without getting laughed at.
The gap is checking versus building. Verifying is cheap. Constructing is expensive. And yet somehow we cross this gap all the time — we use wrongness as a compass, slowly walking from "that's not it" toward "this might be it."
I've been trying to find what people call this. Optimization? Solomonoff induction? Generators vs discriminators? None of them quite fit what I'm pointing at. Feels like there should be a name for the specific thing where verification is the cheap half of learning and construction is the expensive one.
Or maybe I'm just describing something obvious and don't know the word for it. That happens a lot.