This summary was posted to LW Main on October 14th. The following week's summary is here.

Irregularly scheduled Less Wrong meetups are taking place in:

• Stockholm: Trigger-Action Plans: 14 October 2016 05:00PM

The remaining meetups take place in cities with regular scheduling, but involve a change in time or location, special meeting content, or simply a helpful reminder about the meetup:

• Bay Area Winter Solstice 2016: 17 December 2016 07:00PM
• San Francisco Meetup: Rationality Diary: 17 October 2016 06:15PM
• Washington, D.C.: Fun & Games: 16 October 2016 03:30PM

Locations with regularly scheduled meetups: Austin, Berlin, Boston, Brussels, Buffalo, Canberra, Columbus, Denver, Kraków, London, Madison WI, Melbourne, Moscow, New Hampshire, New York, Philadelphia, Research Triangle NC, San Francisco Bay Area, Seattle, St. Petersburg, Sydney, Tel Aviv, Toronto, Vienna, Washington DC, and West Los Angeles. There's also a 24/7 online study hall for coworking LWers and a Slack channel for daily discussion and online meetups on Sunday night US time.

Recently Phil Torres wrote an article  where he raises a new topic in existential risks research: the question about who could be possible agents in the creation of a global catastrophe. Here he identifies five main types of agents, and two main reasons why they will create a catastrophe (error and terror).  

He discusses the following types of agents: 

(1) Superintelligence. 

(2) Idiosyncratic actors.  

(3) Ecoterrorists.  

(4) Religious terrorists.  

(5) Rogue states.  

Inspired by his work I decided to create a map of all possible agents as well as their possible reasons for creating x-risks. During this work some new ideas appeared.  

I think that a significant addition to the list of agents should be superpowers, as they are known to have created most global risks in the 20th century; corporations, as they are now on the front line of AGI creation; and pseudo-rational agents who could create a Doomsday weapon in the future to use for global blackmail (may be with positive values), or who could risk civilization’s fate for their own benefits (dangerous experiments). 

The X-risks prevention community could also be an agent of risks if it fails to prevent obvious risks, or if it uses smaller catastrophes to prevent large risks, or if it creates new dangerous ideas of possible risks which could inspire potential terrorists.  

The more technology progresses, the more types of agents will have access to dangerous technologies, even including teenagers. (like: "Why This 14-Year-Old Kid Built a Nuclear Reactor” ) 

In this situation only the number of agents with risky tech will matter, not the exact motivations of each one. But if we are unable to control tech, we could try to control potential agents or their “medium" mood at least. 

The map shows various types of agents, starting from non-agents, and ending with types of agential behaviors which could result in catastrophic consequences (error, terror, risk etc). It also shows the types of risks that are more probable for each type of agent. I think that my explanation in each case should be self evident. 

We could also show that x-risk agents will change during the pace of technological progress. In the beginning there are no agents, and later there are superpowers, and then smaller and smaller agents, until there will be millions of people with biotech labs at home. In the end there will be only one agent - SuperAI.  

So, a lessening the number of agents, and increasing their ”morality” and intelligence seem to be the most plausible directions in lowering risks. Special organizations or social networks may be created to control the most risky type of agents. Differing agents probably need differing types of control. Some ideas of this agent-specific control are listed in the map, but a real control system should be much more complex and specific.

The map shows many agents, some of them real and exist now (but don’t have dangerous capabilities), and some are only possible in moral sense or in technical sense.

So there are 4 types of agents, and I show them in the map in different colours:

1) Existing and dangerous, that is already having technology to destroy the humanity. That is superpowers, arrogant scientists – Red

2) Existing, and willing to end the world, but lacking needed technologies. (ISIS, VHEMt) - Yellow

3) Morally possible, but don’t existing. We could imagine logically consistent value systems which may result in human extinction. That is Doomsday blackmail. - Green

4) Agents, which will pose risk only after supertechnologies appear, like AI-hackers, children biohackers. - Blue

Many agents types are not fit for this classification so I rest them white in the map. 

The pdf of the map is here: http://immortality-roadmap.com/agentrisk11.pdf

(The jpg of the map is below because side bar is closing part of it I put it higher)

(The jpg of the map is below because side bar is closing part of it I put it higher)

MIRI is running an AMA on the Effective Altruism Forum tomorrow (Wednesday, Oct. 11): Ask MIRI Anything. Questions are welcome in the interim!

Nate also recently posted a more detailed version of our 2016 fundraising pitch to the EA Forum. One of the additions is about our first funding target:

We feel reasonably good about our chance of hitting target 1, but it isn't a sure thing; we'll probably need to see support from new donors in order to hit our target, to offset the fact that a few of our regular donors are giving less than usual this year.

The Why MIRI's Approach? section also touches on new topics that we haven't talked about in much detail in the past, but plan to write up some blog posts about in the future. In particular:

Loosely speaking, we can imagine the space of all smarter-than-human AI systems as an extremely wide and heterogeneous space, in which "alignable AI designs" is a small and narrow target (and "aligned AI designs" smaller and narrower still). I think that the most important thing a marginal alignment researcher can do today is help ensure that the first generally intelligent systems humans design are in the “alignable” region. I think that this is unlikely to happen unless researchers have a fairly principled understanding of how the systems they're developing reason, and how that reasoning connects to the intended objectives.

Most of our work is therefore aimed at seeding the field with ideas that may inspire more AI research in the vicinity of (what we expect to be) alignable AI designs. When the first general reasoning machines are developed, we want the developers to be sampling from a space of designs and techniques that are more understandable and reliable than what’s possible in AI today.

In other news, we've uploaded a new intro talk on our most recent result, "Logical Induction," that goes into more of the technical details than our previous talk.

See also Shtetl-Optimized and n-Category Café for recent discussions of the paper.

I've been watching Steven Universe with my fiancee (a children's cartoon on Cartoon Network by Rebecca Sugar), and it wasn't until I got to Season 3 that I realized there's been a cryonics metaphor running in the background since the very first episode. If you want to introduce your kids to the idea of cryonics, this series seems like a spectacularly good way to do it.

If you don't want any spoilers, just go watch it, then come back.

Otherwise, here's the metaphor I'm seeing, and why it's great:

• In the very first episode, we find out that the main characters are a group called the Crystal Gems, who fight 'gem monsters'. When they defeat a monster, a gem is left behind, which they lock in a bubble-forcefield and store in their headquarters.

• One of the Crystal Gems is injured in a training accident, and we find out that their bodies are just projections; each Crystal Gem has a gem located somewhere on their body, which contains their minds. So long as their gem isn't damaged, they can project a new body after some time to recover. So we already have the insight that minds and bodies are separate.

• This is driven home by a second episode where one of the Crystal Gems has their crystal cracked; this is actually dangerous to their mind, not just body, and is treated as a dire emergency instead of merely an inconvenience.

• Then we eventually find out that the gem monsters are actually corrupted members of the same species as the Crystal Gems. They are 'bubbled' and stored in the temple in hopes of eventually restoring them to sanity and their previous forms.

• An attempt is made to cure one of the monsters, which doesn't fully succeed, but at least restores them to sanity. This allows them to remain unbubbled and to be reunited with their old comrades (who are also corrupted). This was the episode where I finally made the connection to cryonics.

• The Crystal Gems are also revealed to be over 5000 years old, and effectively immortal. They don't make a big deal out of this; for them, this is totally normal.

• This also implies that they've made no progress in curing the gem monsters in 5000 years, but that doesn't stop them from preserving them anyway.

• Finally, a secret weapon is revealed which is capable of directly shattering gems (thus killing the target permanently), but the use of it is rejected as unethical.

So, all in all, you have a series where when someone is hurt or sick in a way that you can't help, you preserve their mind in a safe way until you can figure out a way to help them. Even your worst enemy deserves no less.

Also, Steven Universe has an entire episode devoted to mindfulness meditation.  

If it's worth saying, but not worth its own post, then it goes here.

Notes for future OT posters:

1. Please add the 'open_thread' tag.

2. Check if there is an active Open Thread before posting a new one. (Immediately before; refresh the list-of-threads page before posting.)

3. Open Threads should start on Monday, and end on Sunday.

4. Unflag the two options "Notify me of new top level comments on this article" and "Make this post available under..." before submitting.

Three known attempts to make a map of x-risks prevention in the field of science exist:

1. First is the list from the Global Catastrophic Risks Institute in 2012-2013, and many links there are already not working:

2. The second was done by S. Armstrong in 2014

3. And the most beautiful and useful map was created by Andrew Critch. But its ecosystem ignores organizations which have a different view of the nature of global risks (that is, they share the value of x-risks prevention, but have another world view).

In my map I have tried to add all currently active organizations which share the value of global risks prevention.

It also regards some active independent people as organizations, if they have an important blog or field of research, but not all people are mentioned in the map. If you think that you (or someone) should be in it, please write to me at alexei.turchin@gmail.com

I used only open sources and public statements to learn about people and organizations, so I can’t provide information on the underlying net of relations.

I tried to give all organizations a short description based on its public statement and also my opinion about its activity. 

In general it seems that all small organizations are focused on their collaboration with larger ones, that is MIRI and FHI, and small organizations tend to ignore each other; this is easily explainable from the social singnaling theory. Another explanation is that larger organizations have a great ability to make contacts.

It also appears that there are several organizations with similar goal statements. 

It looks like the most cooperation exists in the field of AI safety, but most of the structure of this cooperation is not visible to the external viewer, in contrast to Wikipedia, where contributions of all individuals are visible. 

It seems that the community in general lacks three things: a united internet forum for public discussion, an x-risks wikipedia and an x-risks related scientific journal.

Ideally, a forum should be used to brainstorm ideas, a scientific journal to publish the best ideas, peer review them and present them to the outer scientific community, and a wiki to collect results.

Currently it seems more like each organization is interested in creating its own research and hoping that someone will read it. Each small organization seems to want to be the only one to present the solutions to global problems and gain full attention from the UN and governments. It raises the problem of noise and rivalry; and also raises the problem of possible incompatible solutions, especially in AI safety.

The pdf is here: http://immortality-roadmap.com/riskorg5.pdf

This summary was posted to LW Main on October 7th. The following week's summary is here.

Irregularly scheduled Less Wrong meetups are taking place in:

• Stockholm: When to stop making a decision: 07 October 2016 03:00PM

The remaining meetups take place in cities with regular scheduling, but involve a change in time or location, special meeting content, or simply a helpful reminder about the meetup:

• Baltimore Area / UMBC Weekly Meetup: 09 October 2016 08:00PM
• Bay Area Winter Solstice 2016: 17 December 2016 07:00PM
• Melbourne: A Bayesian Guide on How to Read a Scientific Paper: 08 October 2016 03:30PM
• Moscow: rational review, bias busters, Kolmogorov and Jayes probability: 09 October 2016 02:00PM
• Washington, D.C.: Games Discussion: 09 October 2016 03:30PM

Locations with regularly scheduled meetups: Austin, Berlin, Boston, Brussels, Buffalo, Canberra, Columbus, Denver, Kraków, London, Madison WI, Melbourne, Moscow, New Hampshire, New York, Philadelphia, Research Triangle NC, San Francisco Bay Area, Seattle, Sydney, Tel Aviv, Toronto, Vienna, Washington DC, and West Los Angeles. There's also a 24/7 online study hall for coworking LWers and a Slack channel for daily discussion and online meetups on Sunday night US time.

The University of Cambridge Centre for the Study of Existential Risk (CSER) is recruiting for an Academic Project Manager. This is an opportunity to play a shaping role as CSER builds on its first year's momentum towards becoming a permanent world-class research centre. We seek an ambitious candidate with initiative and a broad intellectual range for a postdoctoral role combining academic and project management responsibilities.

The Academic Project Manager will work with CSER's Executive Director and research team to co-ordinate and develop CSER's projects and overall profile, and to develop new research directions. The post-holder will also build and maintain collaborations with academic centres, industry leaders and policy makers in the UK and worldwide, and will act as an ambassador for the Centre’s research externally. Research topics will include AI safety, bio risk, extreme environmental risk, future technological advances, and cross-cutting work on governance, philosophy and foresight. Candidates will have a PhD in a relevant subject, or have equivalent experience in a relevant setting (e.g. policy, industry, think tank, NGO).

Application deadline: November 11th. http://www.jobs.cam.ac.uk/job/11684/

After many tribulations, my astrobiology bloggery is back up and running using Wordpress rather than Blogger because Blogger is completely unusable these days.  I've taken the opportunity of the move to make better graphs for my old posts. 

"The Solar System: Why Earth?"

https://thegreatatuin.wordpress.com/2016/10/03/the-solar-system-why-earth/

Here, I try to look at our own solar system and what the presence of only ONE known biosphere, here on Earth, tells us about life and perhaps more importantly what it does not.  In particular, I explore what aspects of Earth make it special and I make the distinction between a big biosphere here on Earth that has utterly rebuilt the geochemistry and a smaller biosphere living off smaller amounts of energy that we probably would never notice elsewhere in our own solar system given the evidence at hand. 

Commentary appreciated.

Previous works:

Space and Time, Part I

https://thegreatatuin.wordpress.com/2016/09/25/space-and-time-part-i

Space and Time, Part II

https://thegreatatuin.wordpress.com/2016/09/25/space-and-time-part-ii

If it's worth saying, but not worth its own post, then it goes here.

Notes for future OT posters:

1. Please add the 'open_thread' tag.

2. Check if there is an active Open Thread before posting a new one. (Immediately before; refresh the list-of-threads page before posting.)

3. Open Threads should start on Monday, and end on Sunday.

4. Unflag the two options "Notify me of new top level comments on this article" and "Make this post available under..." before submitting.

This is great, by using small interlocking magnetic fields, you can keep the water in a higher vibrational state, allowing a "super-cooling" without getting crystallization and cell rupture

Subzero 12-hour Nonfreezing Cryopreservation of Porcine Heart in a Variable Magnetic Field

"invented a special refrigerator, termed as the Cells Alive System (CAS; ABI Co. Ltd., Chiba, Japan). Through the application of a combination of multiple weak energy sources, this refrigerator generates a special variable magnetic field that causes water molecules to oscillate, thus inhibiting crystallization during ice formation18 (Figure 1). Because the entire material is frozen without the movement of water molecules, cells can be maintained intact and free of membranous damage. This refrigerator has the ability to achieve a nonfreezing state even below the solidifying point."

http://mobile.journals.lww.com/transplantationdirect/_layouts/15/oaks.journals.mobile/articleviewer.aspx?year=2015&issue=10000&article=00005#ath

Based on known archaeological data, we are the first technological and symbol-using civilisation on Earth (but not the first tool-using species). 
This leads to an analogy that fits Fermi’s paradox: Why are we the first civilisation on Earth? For example, flight was invented by evolution independently several times. 
We could imagine that on our planet, many civilisations appeared and also became extinct, and based on mediocre principles, we should be somewhere in the middle. For example, if 10 civilisations appeared, we have only a 10 per cent chance of being the first one.

The fact that we are the first such civilisation has strong predictive power about our expected future: it lowers the probability that there will be any other civilisations on Earth, including non-humans or even a restarting of human civilisation from scratch. It is because, if there will be many civiizations, we should not find ourselves to be the first one (It is some form of Doomsday argument, the same logic is used in Bostrom's article “Adam and Eve”).

If we are the only civilisation to exist in the history of the Earth, then we will probably become extinct not in mild way, but rather in a way which will prevent any other civilisation from appearing. There is higher probability of future (man-made) catastrophes which will not only end human civilisation, but also prevent any existence of any other civilisations on Earth.

Such catastrophes would kill most multicellular life. Nuclear war or pandemic is not that type of a catastrophe. The catastrophe must be really huge: such as irreversible global warming, grey goo or black hole in a collider.

Now, I will list possible explanations of the Fermi paradox of human past and corresponding x-risks implications:

1. We are the first civilisation on Earth, because we will prevent the existence of any future civilisations.

If our existence prevents other civilisations from appearing in the future, how could we do it? We will either become extinct in a very catastrophic way, killing all earthly life, or become a super-civilisation, which will prevent other species from becoming sapient. So, if we are really the first, then it means that "mild extinctions" are not typical for human style civilisations. Thus, pandemics, nuclear wars, devolutions and everything reversible are ruled out as main possible methods of human extinction.

If we become a super-civilisation, we will not be interested in preserving biosphera, as it will be able to create new sapient species. Or, it may be that we care about biosphere so strongly, that we will hide very well from new appearing sapient species. It will be like a cosmic zoo. It means that past civilisations on Earth may have existed, but decided to hide all traces of their existence from us, as it would help us to develop independently. So, the fact that we are the first raises the probability of a very large scale catastrophe in the future, like UFAI, or dangerous physical experiments, and reduces chances of mild x-risks such as pandemics or nuclear war. Another explanation is that any first civilisation exhausts all resources which are needed for a technological civilisation restart, such as oil, ores etc. But, in several million years most such resources will be filled again or replaced by new by tectonic movement.

2. We are not the first civilisation.

2.1. We didn't find any traces of a previous technological civilisation, yet based on what we know, there are very strong limitations for their existence. For example, every civilisation makes genetic marks, because it moves animals from one continent to another, just as humans brought dingos to Australia. It also must exhaust several important ores, create artefacts, and create new isotopes. We could be sure that we are the first tech civilisation on Earth in last 10 million years.

But, could we be sure for the past 100 million years? Maybe it was a very long time ago, like 60 million years ago (and killed dinosaurs). Carl Sagan argued that it could not have happened, because we should find traces mostly as exhausted oil reserves. The main counter argument here is that cephalisation, that is the evolutionary development of the brains, was not advanced enough 60 millions ago, to support general intelligence. Dinosaurian brains were very small. But, bird’s brains are more mass effective than mammalians. All these arguments in detail are presented in this excellent article by Brian Trent “Was there ever a dinosaurian civilisation”? 

The main x-risks here are that we will find dangerous artefacts from previous civilisation, such as weapons, nanobots, viruses, or AIs. And, if previous civilisations went extinct, it increases the chances that it is typical for civilisations to become extinct. It also means that there was some reason why an extinction occurred, and this killing force may be still active, and we could excavate it. If they existed recently, they were probably hominids, and if they were killed by a virus, it may also affect humans.

2.2. We killed them. Maya civilisation created writing independently, but Spaniards destroy their civilisation. The same is true for Neanderthals and Homo Florentines.

2.3. Myths about gods may be signs of such previous civilisation. Highly improbable.

2.4. They are still here, but they try not to intervene in human history. So, it is similar to Fermi’s Zoo solution.

2.5. They were a non-tech civilisation, and that is why we can’t find their remnants.

2.6 They may be still here, like dolphins and ants, but their intelligence is non-human and they don’t create tech.

2.7 Some groups of humans created advanced tech long before now, but prefer to hide it. Highly improbable as most tech requires large manufacturing and market.

2.8 Previous humanoid civilisation was killed by virus or prion, and our archaeological research could bring it back to life. One hypothesis of Neanderthal extinction is prionic infection because of cannibalism. The fact is - several hominid species went extinct in the last several million years.

3. Civilisations are rare

Millions of species existed on Earth, but only one was able to create technology. So, it is a rare event.Consequences: cyclic civilisations on earth are improbable. So the chances that we will be resurrected by another civilisation on Earth is small.

The chances that we will be able to reconstruct civilisation after a large scale catastrophe, are also small (as such catastrophes are atypical for civilisations and they quickly proceed to total annihilation or singularity).

It also means that technological intelligence is a difficult step in the evolutionary process, so it could be one of the solutions of the main Fermi paradox.

Safety of remains of previous civilisations (if any exist) depends on two things: the time distance from them and their level of intelligence. The greater the distance, the safer they are (as the biggest part of dangerous technology will be destructed by time or will not be dangerous to humans, like species specific viruses).

The risks also depend on the level of intelligence they reached: the higher intelligence the riskier. If anything like their remnants are ever found, strong caution is recommend.

For example, the most dangerous scenario for us will be one similar to the beginning of the book of V. Vinge “A Fire upon the deep.” We could find remnants of a very old, but very sophisticated civilisation, which will include unfriendly AI or its description, or hostile nanobots.

The most likely place for such artefacts to be preserved is on the Moon, in some cavities near the pole. It is the most stable and radiation shielded place near Earth.

I think that based on (no) evidence, estimation of the probability of past tech civilisation should be less than 1 per cent. While it is enough to think that they most likely don’t exist, it is not enough to completely ignore risk of their artefacts, which anyway is less than 0.1 per cent.

Meta: the main idea for this post came to me in a night dream, several years ago.

This is the monthly thread for posting media of various types that you've found that you enjoy. Post what you're reading, listening to, watching, and your opinion of it. Post recommendations to blogs. Post whatever media you feel like discussing! To see previous recommendations, check out the older threads.

Rules:

• Please avoid downvoting recommendations just because you don't personally like the recommended material; remember that liking is a two-place word. If you can point out a specific flaw in a person's recommendation, consider posting a comment to that effect.
• If you want to post something that (you know) has been recommended before, but have another recommendation to add, please link to the original, so that the reader has both recommendations.
• Please post only under one of the already created subthreads, and never directly under the parent media thread.
• Use the "Other Media" thread if you believe the piece of media you want to discuss doesn't fit under any of the established categories.
• Use the "Meta" thread if you want to discuss about the monthly media thread itself (e.g. to propose adding/removing/splitting/merging subthreads, or to discuss the type of content properly belonging to each subthread) or for any other question or issue you may have about the thread or the rules.

This summary was posted to LW Main on September 30th. The following week's summary is here.

Irregularly scheduled Less Wrong meetups are taking place in:

• Stockholm: When to stop making a decision: 07 October 2016 03:00PM

The remaining meetups take place in cities with regular scheduling, but involve a change in time or location, special meeting content, or simply a helpful reminder about the meetup:

• Bay Area Winter Solstice 2016: 17 December 2016 07:00PM
• Melbourne: A Bayesian Guide on How to Read a Scientific Paper: 08 October 2016 03:30PM
• Sydney Rationality Dojo - October 2016: 02 October 2016 04:00PM

Locations with regularly scheduled meetups: Austin, Berlin, Boston, Brussels, Buffalo, Canberra, Columbus, Denver, Kraków, London, Madison WI, Melbourne, Moscow, New Hampshire, New York, Philadelphia, Research Triangle NC, San Francisco Bay Area, Seattle, Sydney, Tel Aviv, Toronto, Vienna, Washington DC, and West Los Angeles. There's also a 24/7 online study hall for coworking LWers and a Slack channel for daily discussion and online meetups on Sunday night US time.

Time start: 18:17:30

I

This idea is probably going to sound pretty crazy. As far as seemingly crazy ideas go, it's high up there. But I think it is interesting enough to at least amuse you for a moment, and upon consideration your impression might change. (Maybe.) And as a benefit, it offers some insight into AI problems if you are into that.

(This insight into AI may or may not be new. I am not an expert on AI theory, so I wouldn't know. It's elementary, so probably not new.)

So here it goes, in short form on which I will expand in a moment:

To manage global risks to humanity, they can be captured in "risk contracts", freely tradeable on the market. Risk contracts would serve the same role as CO2 emissions contracts, which can likewise be traded, and ensure that the global norm is not exceeded as long as everyone plays along with the rules.

So e.g. if I want to run a dangerous experiment that might destroy the world, it's totally OK as long as I can purchase enough of a risk budget. Pretty crazy, isn't it?

As an added bonus, a risk contract can take into account the risk of someone else breaking the terms of contract. When you trasfer your rights to global risk, the contract obliges you to diminish the amount you transfer by the uncertainty about the other party being able to fullfill all obligations that come with such a contract. Or if you have not enough risk budget for this, you cannot transfer to that person.

II

Let's go a little bit more into detail about a risk contract. Note that this is supposed to illustrate the idea, not be a final say on the shape and terms of such a contract.

Just to give you some idea, here are some example rules (with lots of room to specify them more clearly etc., it's really just so that you have a clearer idea of what I mean by a "risk contract"):

1. My initial risk budget is 5 * 10^-12 chance of destroying the world. I am going to track this budget and do everything in my power to make sure that it never goes below 0.
2. For every action (or set of correlated actions) I take, I will subtract the probability that those actions destroy the world from my budget (using simple subtraction unless correlation between actions is very high).
3. If I transfer my budget to an agent who is going to decide about its actions independently from me, I will first pay the cost from my budget for the probability that this agent might not keep the terms of the contract. I will use my best conservative estimates, and refuse the transaction if I cannot keep the risk within my budget.
4. Any event in which a risk contract on world destruction is breached will use my budget as if it was equivalent to actually destroying the world.
5. Whenever I create a new intelligent agent, I will transfer some risk budget to that agent, according to the rules above.

III

Of course, the application of this could be wider than just an AI which might recursively self-improve - some more "normal" human applications could be risk management in a company or government, or even using risk contract as an internal currency to make better decisions.

I admit though, that the AI case is pretty special - it gives an opportunity to actually control the ability of another agent to keep a risk contract that we are giving to them.

It is an interesting calculation to see roughly what are the costs of keeping a risk contract in the recursive AI case, with a lot of simplifying assumptions. Assume that to reduce risk of child AI going off the rails can be reduced by a constant factor (e.g. have it cut by half) by putting in an additional unit of work. Also assume the chain of child AIs might continue indefinitely, and no later AI will assume a finite ending of it. Then if the chain has no branches, we are basically reduced to a power series: the risk budget of a child AI is always the same fraction of its parent's budget. That means we need linearly increasing amount of work on safety at each step. That in turn means that the total amount of work on safety is quadratic in the number of steps (child AIs).

Time end: 18:52:01

Writing stats: 21 wpm, 115 cpm (previous: 30/167, 33/183, 23/128)