Sam Altman’s leap of faith
“We’ve made a soft promise to investors that, ‘Once we build a generally intelligent system, that basically we will ask it to figure out a way to make an investment return for you.'” - Sam Altman
Article by Connie Loizos: https://techcrunch.com/2019/05/18/sam-altmans-leap-of-faith/
#ArtificialIntelligence #AGI #ArtificialGeneralIntelligence #OpenAI #ReinforcementLearning
“We’ve made a soft promise to investors that, ‘Once we build a generally intelligent system, that basically we will ask it to figure out a way to make an investment return for you.'” - Sam Altman
Article by Connie Loizos: https://techcrunch.com/2019/05/18/sam-altmans-leap-of-faith/
#ArtificialIntelligence #AGI #ArtificialGeneralIntelligence #OpenAI #ReinforcementLearning
TechCrunch
Sam Altman’s leap of faith
Earlier this year, founder-investor Sam Altman left his high-profile role as the president of Y Combinator to become the CEO of OpenAI, an AI research outfit that was founded by some of the most prominent people in the tech industry in late 2015. The idea:…
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence
Jeff Clune: https://arxiv.org/abs/1905.10985
#ArtificialIntelligence #ArtificialGeneralIntelligence #AGI
Jeff Clune: https://arxiv.org/abs/1905.10985
#ArtificialIntelligence #ArtificialGeneralIntelligence #AGI
arXiv.org
AI-GAs: AI-generating algorithms, an alternate paradigm for...
Perhaps the most ambitious scientific quest in human history is the creation of general artificial intelligence, which roughly means AI that is as smart or smarter than humans. The dominant...
“AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence”
This paper describes an exciting path that ultimately may be successful at producing general AI. It is based on the clear trend in machine learning that hand-designed solutions eventually are replaced by more effective, learned solutions.
The idea is to create an AI-generating algorithm (AI-GA), which automatically learns how to produce general AI. Three Pillars are essential for the approach: (1) meta-learning architectures, (2) meta-learning the learning algorithms themselves, and (3) generating effective learning environments.
Jeff Clune: https://arxiv.org/abs/1905.10985
#AGI #AGIFirst #ArtificialGeneralIntelligence
This paper describes an exciting path that ultimately may be successful at producing general AI. It is based on the clear trend in machine learning that hand-designed solutions eventually are replaced by more effective, learned solutions.
The idea is to create an AI-generating algorithm (AI-GA), which automatically learns how to produce general AI. Three Pillars are essential for the approach: (1) meta-learning architectures, (2) meta-learning the learning algorithms themselves, and (3) generating effective learning environments.
Jeff Clune: https://arxiv.org/abs/1905.10985
#AGI #AGIFirst #ArtificialGeneralIntelligence
SuperDyna
Toward a General AI-Agent Architecture
Rich Sutton (presentation starts at 15 min.) : https://slideslive.com/38921889/biological-and-artificial-reinforcement-learning-4
#ArtificialIntelligence #ReinforcementLearning #AGI
Toward a General AI-Agent Architecture
Rich Sutton (presentation starts at 15 min.) : https://slideslive.com/38921889/biological-and-artificial-reinforcement-learning-4
#ArtificialIntelligence #ReinforcementLearning #AGI
SlidesLive
Biological and Artificial Reinforcement Learning 4
Reinforcement learning (RL) algorithms learn through rewards and a process of trial-and-error. This approach was strongly inspired by the study of animal behaviour and has led to outstanding...
How Meta-Learning Could Help Us Accomplish Our Grandest AI Ambitions, and Early, Exotic Steps in that Direction
Jeff Clune : http://www.cs.uwyo.edu/~jeffclune/share/2019_12_13_NeurIPS_Metalearning.pdf
#ArtificialGeneralIntelligence #AGI #MetaLearning
Jeff Clune : http://www.cs.uwyo.edu/~jeffclune/share/2019_12_13_NeurIPS_Metalearning.pdf
#ArtificialGeneralIntelligence #AGI #MetaLearning