Am Neumarkt 😱

#intelligence#paper#ML Superintelligence Cannot be Contained: Lessons from Computability Theory https://www.jair.org/index.php/jair/article/view/12202 > We argue that total containment is, in principle, impossible, due to fundamental limits inherent to computing itself. Assuming that a superintelligence will contain a program that includes all the programs that can be executed by a universal Turing machine on input potentially as complex as the state of the world, strict containment requires simulations of such a program, something theoretically (and practically) impossible.

#machinelearning A nice colloquium paper: The unreasonable effectiveness of deep learning in artificial intelligence | PNAS https://www.pnas.org/content/117/48/30033

#intelligence https://www.economicprinciples.org/ How the economic machine works make easy

https://blog.waymo.com/2020/10/waymo-is-opening-its-fully-driverless.html If you are in Phoenix.

https://github.com/volotat/DiffMorph #machinelearning#opensource Differentiable Morphing > Image morphing without reference points by applying warp maps and optimizing over them.

#neuroscience Source: https://science.sciencemag.org/content/370/6523/1410.full A gatekeeper for learning > Upon learning a hippocampus-dependent associative task, perirhinal inputs might act as a gate to modulate the excitability of apical dendrites and the impact of the feedback stream on layer 5 pyramidal neurons of the primary somatosensory cortex. 😲 In some sense, perirhinal inputs are like config files for learning.

#data Could you prevent a pandemic? A very 2020 video game https://play.acast.com/s/nature/2020festivespectacular

what the f ECDC has been like this for at least 2h. Am I time travelling back to 2000? AND this is about disease prevention and controll not useless blogs...

https://www.nature.com/articles/s41557-020-0544-y > Here we propose PauliNet, a deep-learning wavefunction ansatz that achieves nearly exact solutions of the electronic Schrödinger equation for molecules with up to 30 electrons

#data#covid19 UK gov has an official covid 19 API. https://coronavirus.data.gov.uk/details/developers-guide#structure-metrics I found this funny typo in the documentation. 😂 The first one should be cumCasesByPublishDateRate.

#showerthoughts As human beings, we read or hear about facts of something. These are our priors. Our belief is then updated based on observation of data, aka, likelihood. Some people abide by the priors, they are the prior-people, while others are more like likelihood-people and easily change their belief based on observations. There is a third type. They combine priors and likelihood. Change belief based on likelihood is prone to biases in data. By combining priors and likelihood, they have a better chance of getting to the right conclusion.