AI Creativity

AI Creativity

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Google and others are developing neural networks that learn to recognize and imitate patterns present in works of art, including music. The path to autonomous creativity is unclear. Current systems can imitate existing artworks, but cannot generate truly original works. Human prompting and configuration are required. Google’s Magenta project’s neural network learned from 4,500 pieces of music before creating the following simple tune (drum track overlaid by a human): Click Play button to listen-> Is it conceivable that AI may…

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Living in a ‘post-fact’ world

Living in a ‘post-fact’ world

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“Once the trained CNN [convolutional neural network] showed solid performance in the simulator, we loaded it onto DRIVE PX [vehicle control computer] and took it out for a road test in the car. The vehicle drove along paved and unpaved roads with and without lane markings, and handled a wide range of weather conditions. As more training data was gathered, performance continually improved. The car even flawlessly cruised the Garden State Parkway.”

Closing in on seat of consciousness in the human brain

Closing in on seat of consciousness in the human brain

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“Once the trained CNN [convolutional neural network] showed solid performance in the simulator, we loaded it onto DRIVE PX [vehicle control computer] and took it out for a road test in the car. The vehicle drove along paved and unpaved roads with and without lane markings, and handled a wide range of weather conditions. As more training data was gathered, performance continually improved. The car even flawlessly cruised the Garden State Parkway.”

Can and will AI companies other R&D organizations self-police?

Can and will AI companies other R&D organizations self-police?

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Elon Musk, Microsoft, Google, Facebook, IBM, and other leaders in AI development claim to support close examination of ethical, risk-related, and other factors affecting the public. http://www.recode.net/2016/11/15/13639030/microsoft-elon-musk-nonprofit-open-ai-artificial-intelligence-robots?utm_campaign=recode.social&utm_medium=social&utm_content=recode&utm_source=facebook

15 Nov 16 Discussion on Transhumanism

15 Nov 16 Discussion on Transhumanism

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Good discussion that covered a lot of ground. I took away that none of us have signed on to be early adopters of brain augmentations, but some expect development of body and brain augmentations to continue and accelerate. We also considered the idea of bio-engineered and medical paths to significant life-span, health, and cognitive capacity improvements. I appreciated the ethical and value questions (Why pursue any of this? What would/must one give up to become transhuman? Will the health and…

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Meaningful Transhumanism (H+)…

Meaningful Transhumanism (H+)…

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All bodily capacities, including the most impressive, uniquely human cognitive and metacognitive ones, coevolve with regulatory mechanisms. Regulatory mechanisms operate unconsciously, and control the expression of associated capacities such that the latter consistently operate with high effectiveness and efficiency to promote replication of our genes. So, to fundamentally change and render socioecologically sustainable the human species, H+ technologies will somehow have to alter the deep neural relationship between these regulatory “value systems,” (sensu neuroscientist Gerald Edelman in, “A Universe of…

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TED Talk and PJW Comment

TED Talk and PJW Comment

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TED talk of possible interest: http://www.ted.com/talks/zeynep_tufekci_we_can_t_control_what_our_intelligent_machines_are_learning?utm_source=newsletter_weekly_2016-10-22&utm_campaign=newsletter_weekly&utm_medium=email&utm_content=talk_of_the_week_swipe Comment I posted there: Here is an interdisciplinary “moon-shot” suggestion that we should at least start talking about, now, before it is too late. Let’s massively collaborate to develop a very mission-specific AI system to help us figure out, using emerging genetic editing technologies (e.g., CRISPR, etc.), ideally how to tweak (most likely) species-typical genes currently constraining our capacities for prosociality, biophilia, and compassion, so that we can intentionally evolve into a sustainable species….

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Metacognition, known unknowns, and emergence of reflective identity

Metacognition, known unknowns, and emergence of reflective identity

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“Once the trained CNN [convolutional neural network] showed solid performance in the simulator, we loaded it onto DRIVE PX [vehicle control computer] and took it out for a road test in the car. The vehicle drove along paved and unpaved roads with and without lane markings, and handled a wide range of weather conditions. As more training data was gathered, performance continually improved. The car even flawlessly cruised the Garden State Parkway.”

What is neurocapitalism?

What is neurocapitalism?

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“Once the trained CNN [convolutional neural network] showed solid performance in the simulator, we loaded it onto DRIVE PX [vehicle control computer] and took it out for a road test in the car. The vehicle drove along paved and unpaved roads with and without lane markings, and handled a wide range of weather conditions. As more training data was gathered, performance continually improved. The car even flawlessly cruised the Garden State Parkway.”

18 October meeting topic – General AI: Opportunities and Risks

18 October meeting topic – General AI: Opportunities and Risks

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Artificial intelligence (AI) is being incorporated into an increasing range of engineered systems. Potential benefits are so desirable, there is no doubt that humans will pursue AI with increasing determination and resources. Potential risks to humans range from economic and labor disruptions to extinction, making AI risk analysis and mitigation critical. Specialized (narrow and shallow-to-deep) AI, such as Siri, OK Google, Watson, and vehicle-driving systems acquire pattern recognition accuracy by training on vast data sets containing the target patterns. Humans…

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