Ai Creates Inspirational Quotes

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Man is so busy creating cosmetics for the skin, that he has not Discovered, what lies Within!
AiR Atman in Ravi (The 4th Factor)
I was amazed at how routine, how mechanically this most powerful intellect was created. It was no burst of inspiration, but almost physical labor instead. I asked myself: was it the same way for God?
Vadim Babenko (Semmant)
That makes a lot of sense to me. Do you believe in God?” “I believe we all share a soul and co-create a universal story that is constantly evolving. That when you share an authentic and wholesome story, it goes viral and becomes part of our collective consciousness. Truthful stories are powerful.” “So, we’re all just…stories connected to other stories by larger narratives.” “Yeah, there are books, and series, and interconnected story worlds…and fan fiction, and derivative works. A babushka doll of stories inspired by other stories. Ai ai…Harry is going to kill me. He doesn’t believe in my cosmic consciousness theory, and now I’ve managed to lose credibility with the entire scientific community.” He chuckled, tousling his hair with his fingers. “Don’t worry, folks, Harry runs the platform based on objective, observable evidence. No magical thinking is allowed in Down Below’s strategy and operations.
Alexandra Almeida (Unanimity (Spiral Worlds, #1))
Isaac Asimov’s short story “The Fun They Had” describes a school of the future that uses advanced technology to revolutionize the educational experience, enhancing individualized learning and providing students with personalized instruction and robot teachers. Such science fiction has gone on to inspire very real innovation. In a 1984 Newsweek interview, Apple’s co-founder Steve Jobs predicted computers were going to be a bicycle for our minds, extending our capabilities, knowledge, and creativity, much the way a ten-speed amplifies our physical abilities. For decades, we have been fascinated by the idea that we can use computers to help educate people. What connects these science fiction narratives is that they all imagined computers might eventually emulate what we view as intelligence. Real-life researchers have been working for more than sixty years to make this AI vision a reality. In 1962, the checkers master Robert Nealey played the game against an IBM 7094 computer, and the computer beat him. A few years prior, in 1957, the psychologist Frank Rosenblatt created Perceptron, the first artificial neural network, a computer simulation of a collection of neurons and synapses trained to perform certain tasks. In the decades following such innovations in early AI, we had the computation power to tackle systems only as complex as the brain of an earthworm or insect. We also had limited techniques and data to train these networks. The technology has come a long way in the ensuing decades, driving some of the most common products and apps today, from the recommendation engines on movie streaming services to voice-controlled personal assistants such as Siri and Alexa. AI has gotten so good at mimicking human behavior that oftentimes we cannot distinguish between human and machine responses. Meanwhile, not only has the computation power developed enough to tackle systems approaching the complexity of the human brain, but there have been significant breakthroughs in structuring and training these neural networks.
Salman Khan (Brave New Words: How AI Will Revolutionize Education (and Why That’s a Good Thing))
the autonomous-driving side of things, Alphabet (formerly Google), which has logged several million self-driving-car test miles, continues to lead the pack. At the end of 2016, it created a new business division, called Waymo, for its autonomous driving technology. In May 2017, Waymo and Lyft announced that they would work together on developing the technology, and later in the year, Alphabet invested $1 billion in the start-up. Others, like Cruise Automation (which GM acquired for $1 billion) and Comma.ai, which offers open-source autonomous driving technology in the same vein as Google’s Android mobile operating system, are chasing hard. Baidu, China’s leading Internet search company, has an autonomous-driving research center in Sunnyvale. Byton—backed by China’s Tencent, Foxconn, and the China Harmony New Energy auto retailer group—has an office in Mountain View, as does Didi Chuxing, the Chinese ride-sharing company in which Apple invested $1 billion. Many of these companies have taken not just inspiration but also talent from Tesla. Part of the value of an innovation cluster like Silicon Valley lies in the dispersal of intellectual labor from one node to the next. For instance, PayPal is well known in the Valley for producing a number of high performers who left the company to start, join, or invest in others. The so-called PayPal Mafia includes Reid Hoffman, who founded LinkedIn; Max Levchin, whose most recent of several start-ups is the financial services company Affirm; Peter Thiel, a Facebook board member and President Trump–supporting venture capitalist who cofounded “big data” company Palantir; Jeremy Stoppelman, who started reviews site Yelp; Keith Rabois, who was chief operating officer at Square and then joined Khosla Ventures; David Sacks, who sold Yammer to Microsoft for $1.2 billion and later became CEO at Zenefits; Jawed Karim, who cofounded YouTube; and one Elon Musk.
Hamish McKenzie (Insane Mode: How Elon Musk's Tesla Sparked an Electric Revolution to End the Age of Oil)
This book is a compilation of interesting ideas that have strongly influenced my thoughts and I want to share them in a compressed form. That ideas can change your worldview and bring inspiration and the excitement of discovering something new. The emphasis is not on the technology because it is constantly changing. It is much more difficult to change the accompanying circumstances that affect the way technological solutions are realized. The chef did not invent salt, pepper and other spices. He just chooses good ingredients and uses them skilfully, so others can enjoy his art. If I’ve been successful, the book creates a new perspective for which the selection of ingredients is important, as well as the way they are smoothly and efficiently arranged together. In the first part of the book, we follow the natural flow needed to create the stimulating environment necessary for the survival of a modern company. It begins with challenges that corporations are facing, changes they are, more or less successfully, trying to make, and the culture they are trying to establish. After that, we discuss how to be creative, as well as what to look for in the innovation process. The book continues with a chapter that talks about importance of inclusion and purpose. This idea of inclusion – across ages, genders, geographies, cultures, sexual orientation, and all the other areas in which new ways of thinking can manifest – is essential for solving new problems as well as integral in finding new solutions to old problems. Purpose motivates people for reaching their full potential. This is The second and third parts of the book describes the areas that are important to support what is expressed in the first part. A flexible organization is based on IT alignment with business strategy. As a result of acceleration in the rate of innovation and technological changes, markets evolve rapidly, products’ life cycles get shorter and innovation becomes the main source of competitive advantage. Business Process Management (BPM) goes from task-based automation, to process-based automation, so automating a number of tasks in a process, and then to functional automation across multiple processes andeven moves towards automation at the business ecosystem level. Analytics brought us information and insight; AI turns that insight into superhuman knowledge and real-time action, unleashing new business models, new ways to build, dream, and experience the world, and new geniuses to advance humanity faster than ever before. Companies and industries are transforming our everyday experiences and the services we depend upon, from self-driving cars, to healthcare, to personal assistants. It is a central tenet for the disruptive changes of the 4th Industrial Revolution; a revolution that will likely challenge our ideas about what it means to be a human and just might be more transformative than any other industrial revolution we have seen yet. Another important disruptor is the blockchain - a distributed decentralized digital ledger of transactions with the promise of liberating information and making the economy more democratic. You no longer need to trust anyone but an algorithm. It brings reliability, transparency, and security to all manner of data exchanges: financial transactions, contractual and legal agreements, changes of ownership, and certifications. A quantum computer can simulate efficiently any physical process that occurs in Nature. Potential (long-term) applications include pharmaceuticals, solar power collection, efficient power transmission, catalysts for nitrogen fixation, carbon capture, etc. Perhaps we can build quantum algorithms for improving computational tasks within artificial intelligence, including sub-fields like machine learning. Perhaps a quantum deep learning network can be trained more efficiently, e.g. using a smaller training set. This is still in conceptual research domain.
Tomislav Milinović
Describe the most energizing moment, a real "high" from your professional life. What made it possible? Without being humble, describe what you value most about your self, and your profession. If you are new to the profession, what attracted you to it? Describe how you stay professionally affirmed, renewed, energized, enthusiastic, and inspired? Describe your three concrete wishes for the future of your profession. Questions Created by the AI Listserv Community: What is really working well in your life right now? What changes have you made that have positively impacted your life? What have you seen lately that inspired you? Who was the last person to make you smile? Why? What kind of village/school/organization would you like to leave for your children and grandchildren?
Sue Annis Hammond (The Thin Book of Appreciative Inquiry)
Our worlds are an A.I. rendering of our inputs. Be curious, travel, and elpore to create a better world.
Lawrence Nault - The Mountain Hermit
GPL Left Copy PAISX(PiphiAiSortXor) By: JRM Bacheloriate IST Project Incepted from June 14, 2017 to Mar. 3rd, 2023 9th XYZ StarGate = (Itemizer+Abstracter)[11].(Circlet + Ring + Diadem)[0110].PIRANDOM[1].ROMAN[1000] It randomizes stem objects, prefixes and sorts them alphabetically Inna standard normal distribution inspired by Diablo, and Data As A Service. The randomizer system creates blockchain objects, coins and/or envelopes the 5 pointed star for a two-way P2P hashing scheme, interprets and/or suffixes results.
Jonathan Roy Mckinney Gero EagleO2
GPL Left Copy Paisx(PiphiAiSortXor).Prefix(Romanticism); 5th Elemental Gate = (Itemizer+Abstracter)[11].(Circlet + Diadem)(Ring)[1111].PIRANDOM[1].Paisx.Prefix[6] Bacheloriate IST Project By: JRM, Incepted from June 14, 2017 to Mar. 3rd, 2023 Randomizes the Stem prefixed Objects, orders them alphabetically Inna standard normal distribution inspired by Diablo, and Data As A Service. The randomizer system creates objects or coins in the blockchain that envelope the 5 pointed star for a two-way P2P hashing scheme in its suffix and/or result being interpreted.
Jonathan Roy Mckinney Gero EagleO2
GPL Left Copy PAISX(PiphiAiSortXor) By: JRM Bacheloriate IST Project Incepted from June 14, 2017 to Mar. 3rd, 2023 5th XYZ StarGate = (Itemizer+Abstracter)[11].(Circlet + Diadem + Ring)[0110].PIRANDOM[1] It randomizes stem objects, prefixes and sorts them alphabetically Inna standard normal distribution inspired by Diablo, and Data As A Service. The randomizer system creates objects or coins in the blockchain that envelope the 5 pointed star for a two-way P2P hashing scheme, and suffixes interpreted results.
Jonathan Roy Mckinney Gero EagleO2
GPL Left Copy PAISX(PiphiAiSortXor) By: JRM Bacheloriate IST Project Incepted from June 14, 2017 to Mar. 3rd, 2023 5th XYZ StarGate = (Itemizer+Abstracter)[11].(Circlet + Ring + Diadem)[0110].PIRANDOM[1] It randomizes stem object prefixes, and sorts them alphabetically Inna standard normal distribution inspired by Diablo, and Data As A Service. The randomizer system creates objects or coins in the blockchain that envelope the 5 pointed star for a two-way P2P hashing scheme, and suffixes results while being interpreted.
Jonathan Roy Mckinney Gero EagleO2
GPL Left Copy PAISX(PiphiAiSortXor) By: JRM Bacheloriate IST Project Incepted from June 14, 2017 to Mar. 3rd, 2023 5th XYZ StarGate = (Itemizer+Abstracter)[11].(Circlet + Ring + Diadem)[0110].PIRANDOM[1] It randomizes stem objects, prefixes and sorts them alphabetically Inna standard normal distribution inspired by Diablo, and Data As A Service. The randomizer system creates blockchain objects, coins and/or envelopes the 5 pointed star for a two-way P2P hashing scheme, interprets and/or suffixes results.
Jonathan Roy Mckinney Gero EagleO2
Man has invented Google,Through which anything we can find,but have YOU ever wondered, who Created the Mind?
AiR Atman in Ravi (The Mind is a Rascal)
When I launched my AI career in 1983, I did so by waxing philosophic in my application to the Ph.D. program at Carnegie Mellon. I described AI as “the quantification of the human thinking process, the explication of human behavior,” and our “final step” to understanding ourselves. It was a succinct distillation of the romantic notions in the field at that time and one that inspired me as I pushed the bounds of AI capabilities and human knowledge. Today, thirty-five years older and hopefully a bit wiser, I see things differently. The AI programs that we’ve created have proven capable of mimicking and surpassing human brains at many tasks. As a researcher and scientist, I’m proud of these accomplishments. But if the original goal was to truly understand myself and other human beings, then these decades of “progress” got me nowhere. In effect, I got my sense of anatomy mixed up. Instead of seeking to outperform the human brain, I should have sought to understand the human heart. It’s a lesson that it took me far too long to learn. I have spent much of my adult life obsessively working to optimize my impact, to turn my brain into a finely tuned algorithm for maximizing my own influence. I bounced between countries and worked across time zones for that purpose, never realizing that something far more meaningful and far more human lay in the hearts of the family members, friends, and loved ones who surrounded me. It took a cancer diagnosis and the unselfish love of my family for me to finally connect all these dots into a clearer picture of what separates us from the machines we build. That process changed my life, and in a roundabout way has led me back to my original goal of using AI to reveal our nature as human beings. If AI ever allows us to truly understand ourselves, it will not be because these algorithms captured the mechanical essence of the human mind. It will be because they liberated us to forget about optimizations and to instead focus on what truly makes us human: loving and being loved. Reaching that point will require hard work and conscious choices by all of us. Luckily, as human beings, we possess the free will to choose our own goals that AI still lacks. We can choose to come together, working across class boundaries and national borders to write our own ending to the AI story. Let us choose to let machines be machines, and let humans be humans. Let us choose to simply use our machines, and more importantly, to love one another.
Kai-Fu Lee (AI Superpowers: China, Silicon Valley, and the New World Order)