richardloosemore.com

Richard Loosemore

How to Build an AGI — and How Not To. So, you want to build an artificial general intelligence? One approach is to turn your AI investment money into a large pile of cash and then burn it. That worked for a lot of people over the last sixty years, so don’t feel bad. But on the off chance that (a) you actually want to get the job done, and (b) you can handle it when your core beliefs get challenged, what follows might interest you. Before we start, let’s get a couple things out of the way:. Machines can o...

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How to Build an AGI — and How Not To. So, you want to build an artificial general intelligence? One approach is to turn your AI investment money into a large pile of cash and then burn it. That worked for a lot of people over the last sixty years, so don’t feel bad. But on the off chance that (a) you actually want to get the job done, and (b) you can handle it when your core beliefs get challenged, what follows might interest you. Before we start, let’s get a couple things out of the way:. Machines can o...

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2 biographical notes

3 publications

4 leave a comment

5 general

6 artificial general intelligence

7 the problem

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9 sanitized

10 complex systems problem

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Richard Loosemore | richardloosemore.com Reviews

https://richardloosemore.com

How to Build an AGI — and How Not To. So, you want to build an artificial general intelligence? One approach is to turn your AI investment money into a large pile of cash and then burn it. That worked for a lot of people over the last sixty years, so don’t feel bad. But on the off chance that (a) you actually want to get the job done, and (b) you can handle it when your core beliefs get challenged, what follows might interest you. Before we start, let’s get a couple things out of the way:. Machines can o...

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sorenmortensen.richardloosemore.com

Soren Mortensen

Weekly ReCap January 16. As our public policy class draws to a close, we continue to work on our Capstone. Our Chapter Liaison for the Action Campaign visited our class on Wednesday and Friday this week, and we are nearly ready to start assigning parts for our Campaign. Weekly ReCap Jan 9. This week, we continued to teach IHL and write lesson plans. Our Action Campaign is coming along well with the help of all our team members. Weekly ReCap December 12. Posted in Weekly ReCap. Weekly ReCap December 5.

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richardloosemore.com

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Debunking Fallacies in the Theory of AI Motivation | Richard Loosemore

http://www.richardloosemore.com/debunking-fallacies-in-the-theory-of-ai-motivation

Debunking Fallacies in the Theory of AI Motivation. The Maverick Nanny with a Dopamine Drip. Richard P. W. Loosemore. AI systems at the present time do not even remotely approach the human level of intelligence, and the consensus seems to be that genuine. AGI) systems those that can learn new concepts without help, interact with physical objects, and behave with coherent purpose in the chaos of the real world are not on the immediate horizon. And two others that I will call the. 8220;An all-powerful comp...

2

Demolishing Provable FAI | Richard Loosemore

http://www.richardloosemore.com/demolishing-provable-fai

I decided to pull this back so it can be turned into a full paper. Apologies for the delay]. Leave a Reply Cancel reply. You must be logged in. To post a comment. Next post →. 1989 – Notes Regarding the Application of a Generalised PDP Model to the ‘Recent Filler’ Strategy in Human Sentence Comprehension. January 18, 2016. May 11, 2015. Debunking Fallacies in the Theory of AI Motivation. May 5, 2015. April 9, 2015. October 27, 2014. Proudly powered by WordPress. Theme: Chunk by WordPress.com.

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Why Reinforcement Learning is Bad for AI | Richard Loosemore

http://www.richardloosemore.com/why-rl-is-bad

Why Reinforcement Learning is Bad for AI. Reinforcement learning, the way it is now practiced in AI, is just old-fashioned Behaviorism on modern steroids, so here is my take on Behaviorism, for those RL freaks who are new to the whole not-repeating-the-mistakes-of-history thing. But in this tidy little behaviorist scheme, there are many gaps and ever-so-slightly circular bits of argument. For example, what. Is the mechanism that decides what the reward signal is, and when it arrives? The current state of...

4

June | 2006 | Richard Loosemore

http://www.richardloosemore.com/2006/06

Monthly Archives: June 2006. Why Reinforcement Learning is Bad for AI. Reinforcement learning, the way it is now practiced in AI, is just old-fashioned Behaviorism on modern steroids, so here is my take on Behaviorism, for those RL freaks who are new to the whole not-repeating-the-mistakes-of-history thing. But in this tidy little behaviorist scheme, there are many gaps and ever-so-slightly circular bits of argument. For example, what. Later, when the child first says “Esmerelda is happy! The current sta...

5

Biographical Notes | Richard Loosemore

http://www.richardloosemore.com/bio

I originally graduated from the Physics Department at University College London. After a short stint in the British Museum Research Laboratory (using the. So, in 1981 I decided to switch away from physics and toward cognitive psychology, artificial intelligence, neuroscience and software engineering. My main focus was concept learning in humans, with a particular emphasis on how this could be implemented in an artificial intelligence. Cognition, Computing and Psychology. A few highlights of later work:.

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Loosemore on AI safety and attractors | nothing is mere

https://nothingismere.com/2014/08/25/loosemore-on-ai-safety-and-attractors

Loosemore on AI safety and attractors. Diams; August 25, 2014. Diams; 32 Comments. Richard Loosemore recently wrote an essay criticizing worries about AI safety, “ The Maverick Nanny with a Dopamine Drip. 8220; (Subtitle: “Debunking Fallacies in the Theory of AI Motivation”.) His argument has two parts. First:. 1 Any AI system that’s smart enough to pose a large risk will be smart enough to understand human intentions, and smart enough to rewrite itself to conform to those intentions. 8 Since AI is compl...

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why I’m a crabby patty about AI and cognitive science – Fredrik deBoer

http://fredrikdeboer.com/2014/02/21/why-im-a-crabby-patty-about-ai-and-cognitive-science

Interfaces of the Word. Why I’m a crabby patty about AI and cognitive science. I’m sorry if I am a grump about artificial intelligence. It just happens to be a subject on which our media frequently appears both insufficiently educated and unwilling to learn. My frustration stems from a basic category error, which can be boiled down to this:. My cellphone is much better than my cellphone five years ago, ergo artificial intelligence/the Singularity/techno-utopia is right around the corner. Is often so funny.

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richardloosemore.com

Richard Loosemore

How to Build an AGI — and How Not To. So, you want to build an artificial general intelligence? One approach is to turn your AI investment money into a large pile of cash and then burn it. That worked for a lot of people over the last sixty years, so don’t feel bad. But on the off chance that (a) you actually want to get the job done, and (b) you can handle it when your core beliefs get challenged, what follows might interest you. Before we start, let’s get a couple things out of the way:. Machines can o...

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