Lets just try it, without thinking too deeply, is not a good idea

Chenxin Li, PhD (@chenxinli2.bsky.social) @ChenxinLi2
A related mood is “find the answer first, worry about the specific questions later.” It might sound counter intuitive, but very productive when it comes to genomics research.

Replying to @ChenxinLi2
Yes, it is called “cherry picking”. In new fields there is lots of low hanging fruit. Groups find things that are possible with current and near future methods.  They grab them and see what works. Then they go and try to find if they can sell it. Widget builders. Just because it is organic, does not mean you get to cut corners with the rest of society – “we invented it, we want fame and fortune and to do whatever we want, with anyone or whatever we want.”
All that is on the Internet. Check the history of all the industries, all the new things. After a few ten thousand groups, you will see the trends, and begin to see the “internet and social pathologies” that emerge, then block progress, decimate countries and industries, diminish the human species.
 
About the only things that seems to work (I spent every day for 26 years checking) is to create truly global systems where all humans are the beneficiaries, and hoarding and diversion for private or group benefits is not allowed. The the parts of a system do not fight themselves, then parts of the system do not try to grow without bounds or rules. Monopolies, single points of failure, single points of manipulation are not allowed because it would mean parts of the system fighting themselves.
 
Collaboration does not have to be weak, or wishy washy. The most powerful coming together is needed for global and heliospheric scale projects. Global optimization is NOT hard, there are lots of reliable algorithms, and the whole of “global optimization” itself can be globally optimized. Adding True AIs just makes it easier to audit, verify, extend, test, simulation, share, and apply.
 
Competing in the Olympics is biased and gamed by rich countries. Competing on the media battlefield is accepted now, but paid gladiators need to not kill bystanders and watchers, and pay reparations. The same is true of too greedy industries where they do what you suggest – make a new widget, start experimenting because it is relativity easy at the beginning, and find out the hard way that wisdom, care, tracing out the implications – is better done by simulations,then experimenting on humans with no clear or understood protocols. It is possible to make Watchers, but they only work when the systems are not closed and gamed by insiders.
 

You are forgetting that humans can easily be fooled, they are often urged to do things that are not good for the human and related species, and they might try things and hurt others. It does not have to be rigid and paternalistic. But just as scientists should know how to reason and make good decisions in their work, they should also know the world, ALL its systems and patterns, and be wary not to start another “covid” more deadly and vicious.

I love projects that have an attitude of “let’s just do it”. But that has to be within a framework where there is constant effort to see ahead and play out what will hurt humans and other things. Groups in genomics work mostly in closed groups, do not share and truly collaborate (work together for the good of all) at global scale. If humans in genomics are smart enough to do new things, but not working out the impacts on society in detail, that is as bad as jiggering DNA to make things and not worrying at parts per trillion scale. You cannot check parts per million, even True AIs now can barely check ppb. So solving the pathways at molecular level is not possible yet. You make assumptions, but you cannot be certain, and you do not know the sensitivity to radiation, chance, and mistakes – that might create things worse then deliberate covids.

Filed as (Lets just try it, without thinking too deeply, is not a good idea)
 
Richard Collins, The Internet Foundation
 
Richard K Collins

About: Richard K Collins

The Internet Foundation Internet policies, global issues, global open lossless data, global open collaboration


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