for - stats - comparison of cognitive powers - AGI AI agents vs human researcher

stats - comparison of cognitive powers - AGI AI agents vs human researcher - 100 million AGI AI researchers - each AGI AI researcher is 100x more efficient that its equivalent human AI researcher - total productivity increase = 100 million x 100 = 10 billion human AI researchers! Wow!

for - progress trap - debate - nobody is discussing the dangers of such a project!

progress trap - debate - nobody is discussing the dangers of such a project! - Civlization's journey has to create more and more powerful tools for human beings to use - but this tool is different because it can act autonomously - It can solve problems that will dwarf our individual or even group ability to solve - Philosophically, the problem / solution paradigm becomes a central question because, - As presented in Deep Humanity praxis, - humans have never stopped producing progress traps as shadow sides of technology because - the reductionist problem solving approach always reaches conclusions based on finite amount of knowledge of the relationships of any one particular area of focus - in contrast to the infinite, fractal relationships found at every scale of nature - Supercomputing can never bridge the gap between finite and infinite - A superintelligent artifact with that autonomy of pattern recognition may recognize a pattern in which humans are not efficient and in fact, greater efficiency gains can be had by eliminating us

Vgl how I discussed an application this morning that deployed multiple AI agents as a interconnected network, with each its own role. [[Rolf Aldo Common Ground AI consensus]]

https://deadline.com/2022/11/wme-promotes-eric-reid-to-partner-1235182887/

https://www.lydiawills.com/agency.html

Agents don't have free will but they are influenced by their surroundings, making it hard to predict how they will respond, especially in real-world contexts where interactions are complex and can't be controlled.

the Function-as-a-Service offering often have multiple fine-grained updateable code modules (functions) running within the same vm, which comes pretty close to the Erlang model.

then add service mesh, which in some cases can do automatic retry at the network layer, and you start to recoup some of the supervisor tree advantages a little more.

really fun article though, talking about the digital matter that is code & how we handle it. great reminder that there's much to explore. and some really great works we could be looking to.

Jones, Callum J, Thomas Philippon, and Venky Venkateswaran. ‘Optimal Mitigation Policies in a Pandemic: Social Distancing and Working from Home’. Working Paper. Working Paper Series. National Bureau of Economic Research, April 2020. https://doi.org/10.3386/w26984.

C’est l’exposé de la position défendu par l’auteur. L'argument commence par " nous croyons" il s'agit d'un jugement personnel. Les auteurs pensent qu'avec l'évolution de la technologie de la réalité virtuelle, beaucoup de personnes vont choisir cette forme de sexualité . Cependant, aucune recherche scientifique n'est cité pour confirmer leurs affirmations.

Marx refers to the thought experiment, common in economics, which is sometimes called Robinson Crusoe economics.

Doing "Robinson Crusoe economics" consists in imagining what can be learned, if anything, from a one agent economy that will provide insight into a real world economy with lots of agents.