This article explores various AI projects, including AGI, deep reinforcement learning, cognitive science, and sensor-based learning. Additionally, it provides resources such as GitHub repositories and papers to assist those interested in further understanding these cutting-edge technologies.

said by HTM, AGI knows what it did to the world (self-awareness), also signals from sensors.

google research

gwern wrote a fiction. he thinks agi starts from automl-zero which is similar to lazero and metalazero by name and perspective.

by design lazero can be deeply aligned, inspecting and studying user’s actions. it also has its own exploration space. however, these expectations can never be fully satisfied at the same time. if you want more power, you have to let go.

lucidrains repositories

this one got lots of state-of-the-art implementations for close-sourced papers and also repos for AGI. stunning.

JEPA-pytorch (WIP) yann lecun’s version how agi will be built

PaLM scaling language model with pathways

side projects

make a video text to video generation

nuwa text to video generation

opencog

moses (supervised) for evolutionary program synthesis

repos on github

he4o

aixijs general reinforcement learning in browser repo

opennars

brain simulator 2 on windows platform

DQfD: Learning from Demonstrations for Real World Reinforcement Learning (paper)

mit class on AGI

jiaxiaogang’s god-knows-what theory and training logs

awesome deep reinforcement learning (deep-rl)

awesome agicocosci exhausitive list of papers and repos for cognitive science and AGI

introduction and links on AGI

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