Sounds fun!
We are trying our best to honor mana donations!
If you are inactive you have until the rest of the year to donate at the old rate. If you want to donate all your investments without having to sell each individually, we are offering you a loan to do that.
We removed the charity cap of $10k donations per month, which is going beyond what we previous communicated.
If we could push a button to raise at a reasonable valuation, we would do that and back the mana supply at the old rate. But it's not that easy. Raising takes time and is uncertain.
Carson's prior is right that VC backed companies can quickly die if they have no growth -- it can be very difficult to raise in that environment.
Nice writeup! Impact markets are a really cool idea that could plausibly make public goods funding much more efficient.
Still, I have doubts. Funding decisions ultimately come down to someone doing an impact analysis, and let's just say that's a really hard job.
Getting to the correct order of magnitude of impact for a project like, say, deworming, would require a lot of careful data collection and analysis and maybe even interviewing a random sample of those affected over time. And even then, it's easy to be wrong.
Moreover, the incentives are not right. A p...
Super interesting, thanks for writing this!
I work on Manifold, and one of the motivations for building the site is to play a roll furthering AI safety. One simple path is using prediction markets to make it common knowledge that AI capabilities is advancing rapidly. They can help us plan or warn us about potentially bad outcomes coming up. This is roughly the AI timelines question though.
So I'm glad to also hear that you might find prediction markets useful for concrete research questions or judging alternative proposals within the AI field.
Let me know if you think of any way the Manifold team can help out here!
Crossposted from https://manifoldmarkets.substack.com/p/above-the-fold-manifold-is-ready
TL;DR: Manifold Markets is:
We started with a crazy new twist on prediction markets. You come up with a question for traders to predict, and then decide the outcome yourself.
For example, you could create a market on “Will my date with [X] go well?” Anyone can bet on it, and the bets create a forecast on the chance your date goes well. After the date is over, you get to judge the result and reward the traders who picked the correct side.
There are so many ways for this mechanism to go wrong. The creator of the market can be dishonest in deciding the outcome, or you may...
I'm just skipping the second dose. The benefit of the second dose to a young person is almost infinitesimal.
Not getting it saves me time and the discomfort of side effects, and it reserves more doses for others, including eventually other countries. (Yes, we are still very supply constrained when you think globally.)
My impression is that as long as you are outside, that would be sufficient ventilation, and so walking or biking wouldn't make much difference.
One other factor though could be that if you stand really close to someone, talking loudly could send some bits of saliva over directly, in which case walking and not facing each other would be an improvement.
Much of the gains on SWE Bench are actually about having the model find better context via tool calls. Sonnet 3.7 is trained to seek out the information it needs.
But if you compare the models with fixed context, they are only somewhat smarter than before.
(The other dimension is the thinking models which seem to be only a modest improvement on coding, but do much better at math for example.)
That being said, the new Gemini 2.5 Pro seems like another decent step up in intelligence from Sonnet 3.7. We're about to switch out the default mode of our coding agent, Codebuff, to use it (and already shipped it for codebuff --max).