It’s the “barring other physical limits” that is the important caveat.  I 
completely disagree with the statement that labor is the factor that makes CDR 
(and everything else) expensive.  

 

From: geoengineering@googlegroups.com [mailto:geoengineering@googlegroups.com] 
On Behalf Of Michael Trachtenberg
Sent: Wednesday, September 07, 2016 9:23 AM
To: adamd...@ucla.edu
Cc: R. T. Pierrehumbert <phys1...@nexus.ox.ac.uk>; Greg Rau 
<gh...@sbcglobal.net>; bmer...@mercerenvironment.net; andrew.lock...@gmail.com; 
geoengineering <geoengineering@googlegroups.com>; Andrew Revkin 
<rev...@gmail.com>; cla...@onid.orst.edu; Oliver Morton 
<olivermor...@economist.com>; Oliver Morton <omeconom...@gmail.com>
Subject: Re: [geo] Scientists Focused on Geoengineering Challenge the 
Inevitability of Multi-Millennial Global Warming

 

While I agree with your projection please note nothing is costless. A major 
reason chip labor is used is that it is still cheaper than AI/robotics. As that 
changes, for better or worse, unemployment follows. Cost less NOT costless.

 

Michael Trachtenberg, PhD
Visiting Scientist
Department of Chemistry and Chemical Biology
Rutgers University
New Brunswick, NJ
mi...@aesop.rutgers.edu <mailto:mi...@aesop.rutgers.edu> 
609-610-6227



 

On Sep 6, 2016, at 10:52 PM, Adam Dorr <adamd...@ucla.edu 
<mailto:adamd...@ucla.edu> > wrote:

 

The connection is that economic cost is the CDR feasibility bottleneck. And 
barring other physical limits, labor is the factor of production that makes CDR 
(and everything else) expensive. Machine labor obviates this feasibility 
bottleneck.

 

Choose any product or service, trace its supply chain to its origins, and this 
becomes obvious: a functionally unlimited supply of costless skilled labor 
straightforwardly renders all commodified goods and services superabundant 
(though obviously not infinite). CDR is not feasible today because it would 
cost trillions of dollars to build the tens of thousands of building-sized 
direct air CO2 capture facilities and storage needed to draw 5+ Gt of carbon 
out of the atmosphere. And the reason why it would cost trillions of dollars is 
because, today, people would have to build and operate those facilities. 
Fast-forward 50 years, and narrowly intelligent machines could be tasked with 
the entire process, end-to-end, including their own manufacture and the 
(costless) manufacture of their supply of energy (most likely solar) and raw 
materials.

 

There is a substantial literature that has begun to explore the post-scarcity 
implications of narrow AI, machine labor, and other disruptive technologies. 
Among the environmental implications, CDR geoeingeering is (in my mind) a 
particularly salient case. The specific example of self-driving cars merely 
illustrates that the machine labor in question is not 5000 years away, or 500, 
but - quite obviously - 50 or less.

 

Best,

 

Adam




--

Adam Dorr
University of California Los Angeles School of Public Affairs
Urban Planning PhD Candidate
adamd...@ucla.edu <mailto:adamd...@ucla.edu> 
adamd...@gmail.com <mailto:adamd...@gmail.com> 

 

On Tue, Sep 6, 2016 at 5:46 PM, Michael Trachtenberg <mi...@aesop.rutgers.edu 
<mailto:mi...@aesop.rutgers.edu> > wrote:

HI Adam,

 

The majority of physical chemical processes while controlled will not be 
accelerated greatly beyond known maxima simply by applying computing 
capabilities. 

 

Mike

 

Michael Trachtenberg, PhD
Visiting Scientist
Department of Chemistry and Chemical Biology
Rutgers University
New Brunswick, NJ
mi...@aesop.rutgers.edu <mailto:mi...@aesop.rutgers.edu> 
609-610-6227 <tel:609-610-6227> 



 

On Sep 6, 2016, at 7:08 PM, Adam Dorr <adamd...@ucla.edu 
<mailto:adamd...@ucla.edu> > wrote:

 

As I explain in detail in the papers I attached and in my other recent work, 
there are two problems with this reasoning. The first hinges is how we define 
prudence. Ignoring a possibility until evidence guarantees that the outcome is 
certain is, I argue, not at all prudent. And the second is that there is 
already a veritable mountain of evidence that arrival of the specific 
technologies I described (namely, narrow artificial intelligence and machine 
labor) is already imminent - to say nothing of the overwhelming confidence we 
can have that these technologies will have arrived by, say, 2050 or 2075. 
Self-driving cars are the clearest prominent example, but there are many others.

 

Best,

 

 

Adam




--

Adam Dorr
University of California Los Angeles School of Public Affairs
Urban Planning PhD Candidate
adamd...@ucla.edu <mailto:adamd...@ucla.edu> 
adamd...@gmail.com <mailto:adamd...@gmail.com> 

 

On Tue, Sep 6, 2016 at 2:16 AM, R. T. Pierrehumbert <phys1...@nexus.ox.ac.uk 
<mailto:phys1...@nexus.ox.ac.uk> > wrote:

Yeah, and maybe they’ll get controlled fusion working too.  It would be 
imprudent to bank on such things until there is real evidence that it will 
happen.

 

On Sep 6, 2016, at 12:57 AM, Adam Dorr <adamd...@ucla.edu 
<mailto:adamd...@ucla.edu> > wrote:






To take just one prominent example, I think that too few folks are giving 
serious consideration to the explosion in CDR feasibility (and other ecological 
restoration capacities) that is likely to follow the arrival of widespread 
narrowly intelligent machine labor (i.e. the AI of the sort that can drive a 
car, not the general sort that is self-aware and wants to take over the world). 
Dismissing this as science fiction might have been reasonable 20 years ago. But 
today, with cars that can drive themselves right over the horizon, I feel very 
strongly that it is intellectually lazy and socially irresponsible to continue 
doing so. Other imminent technological changes will also have a profound impact 
on the feasibility of various CDR approaches. It would be helpful if all who 
are actively engaged in this arena could take care to avoid some of the more 
common general errors in reasoning about the future, so that they may think 
more clearly about the policy, planning, and other implications of 
technological change.

 

 

 

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