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A discussion of the fascinating concept of space folding as it is presented in the Dune legendarium. In order to fill the needs of the vast interstellar empire of Frank Herbert’s universe the mechanism of space-folding is heavily relied upon. This form of faster-than-light travel enables spaceships to traverse astronomical distances instantaneously, and has proven crucial in shaping its social, economic, and political dynamics. Spoiler warning if you are unfamiliar with Frank Herbert’s Dune.

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Continue reading “Space Folding Explained | Spacing Guild Navigation | Dune Lore” | >

Much ink has been spilled over fears that artificial intelligence (AI) will eliminate jobs in the economy. While some of those fears may be well-founded, red-hot interest in AI innovation is creating new jobs as well.

This graphic visualizes data from Lightcast, a labor market analytics firm, which shows how many AI-related jobs were posted in each state throughout 2022.

In total there were 795,624 AI jobs posted throughout the year, of which 469,925 (59%) were in the top 10. The full tally is included in the table below.

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Government can give Universal basic income to everyone.

https://www.msn.com/en-us/money/other/the-a-i-endgame-is-tha…st-says/vi

Ben Goertzel, CEO of decentralized artificial intelligence marketplace SingularityNET, says “there are far more rewarding things for humans beings to do than [scrambling] around to get resources.”

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Perhaps not surprisingly, the AI was the most helpful for the least-skilled workers and those who had been with the company for the shortest time. Meanwhile, the highest-skilled and most experienced agents didn’t benefit much from using the AI. This makes sense, since the tool was trained on conversations from these workers; they already know what they’re doing.

“High-skilled workers may have less to gain from AI assistance precisely because AI recommendations capture the knowledge embodied in their own behaviors,” said study author Erik Brynjolfsson, director of the Stanford Digital Economy Lab.

The AI enabled employees with only two months of experience to perform as well as those who’d been in their roles for six months. That’s some serious skill acceleration. But is it “cheating”? Are the employees using the AI skipping over valuable first-hand training, missing out on learning by doing? Would their skills grind to a halt if the AI were taken away, since they’ve been repeating its suggestions rather than thinking through responses on their own?

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The current education landscape requires close collaboration between edtech and AI developers to leverage their expertise and maximize the impact of AI technology in the sector. It also aims to avoid the negative consequences of redundant efforts, wasted resources and less effective solutions. By effectively applying best practices such as clear communication, alignment of goals, and interdisciplinary collaboration, edtech and AI developers can develop innovative, scalable and effective solutions. The “AI and the Future of Learning: Expert Panel Report” underscores key strategies for successful collaboration between edtech and AI developers. The report highlights key strengths and weaknesses of AI as well as the respective opportunities and barriers to employing AI technologies in the education sector.

Education plays a critical role in promoting social and economic development in a region, and when communities recognize its potential, they are more likely to support educational reforms. These reforms can address any challenges in the sector, such as funding constraints, lack of access to quality education and cultural attitudes that may deny education to particular groups. With the increased adoption of AI in the education sector, potential future developments—including ITS, adaptive assessment, gamification and the use of machine learning—can promote the efficiency of personalized learning.

In the long run, the collaboration between edtech and AI developers holds great potential for transforming education and improving learning outcomes. For this to happen, it is necessary to establish industry standards for AI in education, foster interdisciplinary collaboration between educators and AI experts, and invest in research on AI’s impact on learning outcomes. In this way, we can ensure that AI-powered tools are used effectively and ethically to improve student learning in the 21st century.

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On his appointment, he said, It is really a great honour and privilege to be part of the Board of the Data Lab Scotland’s Artificial Intelligence and data to help contribute and provide strategic direction to the leadership of the Lab.

I am deeply humbled for this opportunity to contribute and help unlock the rich opportunities for AI and data, not just in Scotland, UK and across the world, by bringing industry, academia and public sector to harness opportunities, connect people and ideas, develop knowledge and expertise for the good of humanity and society-creating a better and sustainable economy and society.

The Nigerian-British man stressed his love for data and AI, saying, I am deeply passionate and intentional about data, AI, transformation, innovation, education, technology, inclusion, social and global mobility.

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According to 81% of hospital CIOs surveyed by my company, security vulnerability is the leading pain point driving legacy data management decisions. That’s no surprise as healthcare continues to rank as one of the most cyber-attacked industries year over year. In a study by the Health Information and Management Systems Society (HIMSS), 80% of healthcare organizations reported having legacy operating systems in place. Cybersecurity in healthcare is increasingly becoming a chronic condition.

The Cybersecurity and Infrastructure Security Agency (CISA), which measures risk to critical national infrastructure, says legacy software ranks as a dangerous “bad practice.” That’s because the use of unsupported or end-of-life legacy systems offers some of the easiest entry points for bad actors to gain access and cause havoc within a medical environment. With the average price tag for a healthcare data breach at an all-time high of $10.1 million, the overall cost to a breached organization is high in terms of economic loss and reputation repair.

To fortify defenses against cyberattacks, here are some tips for addressing out-of-production software in healthcare facilities.

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AI is everywhere. Its use is being debated in headlines, on social media and around dinner tables. To some, the rate of AI acceleration is concerning, with many technology leaders calling for a six-month pause in the training of new systems to better understand the impact such tools are having. To others, AI is seen as the cornerstone of the fourth industrial revolution, the latest disruptive technology opening up possibilities for new ways of learning, working and living that we have never experienced before.

Yet, disruptive technologies are nothing new. They have been changing the way we live and work for decades. And these changes have not been without consequences, particularly in the form of economic dislocation and social upheaval. Automation in manufacturing has streamlined mass production and driven down costs; Ecommerce platforms have reshaped the way we shop and do business; even online education has found new ways to provide flexible and affordable ways of learning, delivering opportunities to millions across the globe that simply were not available before.

Presently, much of the discussion around the impact of AI is based on conjecture. However, it is widely agreed that it will have a major impact on jobs and even has the potential to call into question the very fundamentals of what work is. What is not understood is how AI will play out across society in the longer term. Will it, like previous technological revolutions, deliver short-term disruptions followed by long-term benefits, or will it be the catalyst for new ways of learning and upskilling and help reduce the widening digital divide?

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Joscha Bach is a cognitive scientist focusing on cognitive architectures, consciousness, models of mental representation, emotion, motivation and sociality.

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0:00:00 Introduction.
0:00:17 Bach’s work ethic / daily routine.
0:01:35 What is your definition of truth?
0:04:41 Nature’s substratum is a “quantum graph”?
0:06:25 Mathematics as the descriptor of all language.
0:13:52 Why is constructivist mathematics “real”? What’s the definition of “real”?
0:17:06 What does it mean to “exist”? Does “pi” exist?
0:20:14 The mystery of something vs. nothing. Existence is the default.
0:21:11 Bach’s model vs. the multiverse.
0:26:51 Is the universe deterministic.
0:28:23 What determines the initial conditions, as well as the rules?
0:30:55 What is time? Is time fundamental?
0:34:21 What’s the optimal algorithm for finding truth?
0:40:40 Are the fundamental laws of physics ultimately “simple”?
0:50:17 The relationship between art and the artist’s cost function.
0:54:02 Ideas are stories, being directed by intuitions.
0:58:00 Society has a minimal role in training your intuitions.
0:59:24 Why does art benefit from a repressive government?
1:04:01 A market case for civil rights.
1:06:40 Fascism vs communism.
1:10:50 Bach’s “control / attention / reflective recall” model.
1:13:32 What’s more fundamental… Consciousness or attention?
1:16:02 The Chinese Room Experiment.
1:25:22 Is understanding predicated on consciousness?
1:26:22 Integrated Information Theory of consciousness (IIT)
1:30:15 Donald Hoffman’s theory of consciousness.
1:32:40 Douglas Hofstadter’s “strange loop” theory of consciousness.
1:34:10 Holonomic Brain theory of consciousness.
1:34:42 Daniel Dennett’s theory of consciousness.
1:36:57 Sensorimotor theory of consciousness (embodied cognition)
1:44:39 What is intelligence?
1:45:08 Intelligence vs. consciousness.
1:46:36 Where does Free Will come into play, in Bach’s model?
1:48:46 The opposite of free will can lead to, or feel like, addiction.
1:51:48 Changing your identity to effectively live forever.
1:59:13 Depersonalization disorder as a result of conceiving of your “self” as illusory.
2:02:25 Dealing with a fear of loss of control.
2:05:00 What about heart and conscience?
2:07:28 How to test / falsify Bach’s model of consciousness.
2:13:46 How has Bach’s model changed in the past few years?
2:14:41 Why Bach doesn’t practice Lucid Dreaming anymore.
2:15:33 Dreams and GAN’s (a machine learning framework)
2:18:08 If dreams are for helping us learn, why don’t we consciously remember our dreams.
2:19:58 Are dreams “real”? Is all of reality a dream?
2:20:39 How do you practically change your experience to be most positive / helpful?
2:23:56 What’s more important than survival? What’s worth dying for?
2:28:27 Bach’s identity.
2:29:44 Is there anything objectively wrong with hating humanity?
2:30:31 Practical Platonism.
2:33:00 What “God” is.
2:36:24 Gods are as real as you, Bach claims.
2:37:44 What “prayer” is, and why it works.
2:41:06 Our society has lost its future and thus our culture.
2:43:24 What does Bach disagree with Jordan Peterson about?
2:47:16 The millennials are the first generation that’s authoritarian since WW2
2:48:31 Bach’s views on the “social justice” movement.
2:51:29 Universal Basic Income as an answer to social inequality, or General Artificial Intelligence?
2:57:39 Nested hierarchy of “I“s (the conflicts within ourselves)
2:59:22 In the USA, innovation is “cheating” (for the most part)
3:02:27 Activists are usually operating on false information.
3:03:04 Bach’s Marxist roots and lessons to his former self.
3:08:45 BONUS BIT: On societies problems.

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Continue reading “Joscha Bach: Time, Simulation Hypothesis, & Existence” | >