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
adamd...@gmail.com

On Tue, Sep 6, 2016 at 5:46 PM, Michael Trachtenberg <
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
> 609-610-6227
>
>
>
> On Sep 6, 2016, at 7:08 PM, Adam Dorr <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
> adamd...@gmail.com
>
> On Tue, Sep 6, 2016 at 2:16 AM, R. T. Pierrehumbert <
> 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> 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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