# Why Now Matters

|   |  MIRI Strategy

I’m often asked whether donations now are more important than donations later. Allow me to deliver an emphatic yes: I currently expect that donations to MIRI today are worth much more than donations to MIRI in five years. As things stand, I would very likely take $10M today over$20M in five years.

That’s a bold statement, and there are a few different reasons for this. First and foremost, there is a decent chance that some very big funders will start entering the AI alignment field over the course of the next five years. It looks like the NSF may start to fund AI safety research, and Stuart Russell has already received some money from DARPA to work on value alignment. It’s quite possible that in a few years’ time significant public funding will be flowing into this field.

(It’s also quite possible that it won’t, or that the funding will go to all the wrong places, as was the case with funding for nanotechnology. But if I had to bet, I would bet that it’s going to be much easier to find funding for AI alignment research in five years’ time).

In other words, the funding bottleneck is loosening — but it isn’t loose yet.

We don’t presently have the funding to grow as fast as we could over the coming months, or to run all the important research programs we have planned. At our current funding level, the research team can grow at a steady pace — but we could get much more done over the course of the next few years if we had the money to grow as fast as is healthy.

Which brings me to the second reason why funding now is probably much more important than funding later: because growth now is much more valuable than growth later.

There’s an idea picking up traction in the field of AI: instead of focusing only on increasing the capabilities of intelligent systems, it is important to also ensure that we know how to build beneficial intelligent systems. Support is growing for a new paradigm within AI that seriously considers the long-term effects of research programs, rather than just the immediate effects. Years down the line, these ideas may seem obvious, and the AI community’s response to these challenges may be in full swing. Right now, however, there is relatively little consensus on how to approach these issues — which leaves room for researchers today to help determine the field’s future direction.

People at MIRI have been thinking about these problems for a long time, and that puts us in an unusually good position to influence the field of AI and ensure that some of the growing concern is directed towards long-term issues in addition to shorter-term ones. We can, for example, help avert a scenario where all the attention and interest generated by Musk, Bostrom, and others gets channeled into short-term projects (e.g., making drones and driverless cars safer) without any consideration for long-term risks that are less well-understood.

It’s likely that MIRI will scale up substantially at some point; but if that process begins in 2018 rather than 2015, it is plausible that we will have already missed out on a number of big opportunities.

The alignment research program within AI is just now getting started in earnest, and it may even be funding-saturated in a few years’ time. But it’s nowhere near funding-saturated today, and waiting five or ten years to begin seriously ramping up our growth would likely give us far fewer opportunities to shape the methodology and research agenda within this new AI paradigm. The projects MIRI takes on today can make a big difference years down the line, and supporting us today will drastically affect how much we can do quickly. Now matters.

• Alex

What exactly are you saying happened with nanotech? Why do you think that’s what happened?

• http://intelligence.org Nate Soares

In brief, Eric Drexler raised lots of concern about molecularly precise engineering (via the book “Engines of Creation”); the National Nanotechnology Initiative was started, in large part due to this awareness raising, with 3.7B in government funding; almost none of the money went to studying or reducing risks from from molecularly precise engineering. I could talk a fair bit about why/how I think this happened, but in short I think that much of it can be traced to (a) there was only one funder; (b) government initiatives are vulnerable at being redirected away from funding “weird” things; (c) Eric Drexler lacked a certain type of political acumen while working to prevent this outcome.