Quotes & Sayings
Monday, December 18, 2023
Travel Series - Bill Gates "UnConfuse Me" Series
Tuesday, June 20, 2023
R.E. Slater - It's Not AI Sentience We Should Fear but Our Own Misuse of It
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Likewise, I too have been nosing around trying to develop a sense of humanity's cultural development organically via evolution, culturally, via religion, and in the next segment, sociologically, via civilization... of which I continue to urge present cultures towards the building of ecological civilizations leaning into love, social justice and equality, environmental care and restoration, and generally, to find a new rhythm and balance in our lives more in line with nature's more generative side.Moreover, I've been working through the many positives of AI sentience in recent chatbot posts while also working towards mankind's cultural beliefs about God and religion. Hence, I have posted David Foster's books and video to balance Yuval Harai's sentiments about AI.
Love has two sides to it: (i) It may birth liberty and freedom but may also (ii) birth bondage and destruction. Curiously, Love may bless another or it may harm and destroy another (something I call the "dark side of Love gone wrong"). Similar to Einstein's description of temperature in terms of factors of "no heat" or "coldness"; we might also describe sin and evil in terms of factors of "no Love" or "absence of loving."
A God-filled, divine creation is thus and thus fraught with processual tension. This is what is meant by pancessualism tension which may be either a generative process or a cruel and evil process. Whiteheadian prehension, actuality, and concreasence says that every event increases by one acts of value or removes those acts from any further benefit.
amazon link |
amazon link |
FIRST EDITION
Generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models, and world models.
Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you’ll understand how to make your models learn more efficiently and become more creative.
- Discover how variational autoencoders can change facial expressions in photos
- Build practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generation
- Create recurrent generative models for text generation and learn how to improve the models using attention
- Understand how generative models can help agents to accomplish tasks within a reinforcement learning setting
- Explore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN
SECOND EDITIONGenerative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to create impressive generative deep learning models from scratch using Tensorflow and Keras, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models. The book starts with the basics of deep learning and progresses to cutting-edge architectures. Through tips and tricks, readers can make their models learn more efficiently and become more creative.
- Discover how VAEs can change facial expressions in photos
- Train GANs to generate images based on your own dataset
- Build diffusion models to produce new varieties of flowers
- Train your own GPT for text generation
- Learn how large language models like ChatGPT are trained
- Explore state-of-the-art architectures such as StyleGAN 2 and Vision Transformer VQ-GAN
- Compose polyphonic music using Transformers and MuseGAN
- Understand how generative world models can solve reinforcement learning tasks
- Dive into multimodal models such as DALL.E 2, Imagen and Stable Diffusion for text-to-image generation
The book also explores the future of generative AI and how individuals and companies can proactively begin to leverage this remarkable new technology to create competitive advantage.
Generative Deep Learning, 2nd Edition [David Foster] https://www.oreilly.com/library/view/...Support us! https://www.patreon.com/mlst MLST Discord: https://discord.gg/aNPkGUQtc5 Twitter: https://twitter.com/MLStreetTalkTOC: Introducing Generative Deep Learning [00:00:00]Model Families in Generative Modeling [00:02:25]Auto Regressive Models and Recurrence [00:06:26]Language and True Intelligence [00:15:07]Language, Reality, and World Models [00:19:10]AI, Human Experience, and Understanding [00:23:09]GPTs Limitations and World Modeling [00:27:52]Task-Independent Modeling and Cybernetic Loop [00:33:55]Collective Intelligence and Emergence [00:36:01]Active Inference vs. Reinforcement Learning [00:38:02]Combining Active Inference with Transformers [00:41:55]Decentralized AI and Collective Intelligence [00:47:46]Regulation and Ethics in AI Development [00:53:59]AI-Generated Content and Copyright Laws [00:57:06]Effort, Skill, and AI Models in Copyright [00:57:59]AI Alignment and Scale of AI Models [00:59:51]Democratization of AI: GPT-3 and GPT-4 [01:03:20]Context Window Size and Vector Databases [01:10:31]Attention Mechanisms and Hierarchies [01:15:04]Benefits and Limitations of Language Models [01:16:04]AI in Education: Risks and Benefits [01:19:41]AI Tools and Critical Thinking in the Classroom [01:29:26]Impact of Language Models on Assessment and Creativity [01:35:09]Generative AI in Music and Creative Arts [01:47:55]Challenges and Opportunities in Generative Music [01:52:11]AI-Generated Music and Human Emotions [01:54:31]Language Modeling vs. Music Modeling [02:01:58]Democratization of AI and Industry Impact [02:07:38]Recursive Self-Improving Superintelligence [02:12:48]AI Technologies: Positive and Negative Impacts [02:14:44]Runaway AGI and Control Over AI [02:20:35]AI Dangers, Cybercrime, and Ethics [02:23:42]In this conversation, Tim Scarfe and David Foster, the author of 'Generative Deep Learning,' dive deep into the world of generative AI, discussing topics ranging from model families and auto regressive models to the democratization of AI technology and its potential impact on various industries. They explore the connection between language and true intelligence, as well as the limitations of GPT and other large language models. The discussion also covers the importance of task-independent world models, the concept of active inference, and the potential of combining these ideas with transformer and GPT-style models.Ethics and regulation in AI development are also discussed, including the need for transparency in data used to train AI models and the responsibility of developers to ensure their creations are not destructive. The conversation touches on the challenges posed by AI-generated content on copyright laws and the diminishing role of effort and skill in copyright due to generative models.The impact of AI on education and creativity is another key area of discussion, with Tim and David exploring the potential benefits and drawbacks of using AI in the classroom, the need for a balance between traditional learning methods and AI-assisted learning, and the importance of teaching students to use AI tools critically and responsibly.Generative AI in music is also explored, with David and Tim discussing the potential for AI-generated music to change the way we create and consume art, as well as the challenges in training AI models to generate music that captures human emotions and experiences.Throughout the conversation, Tim and David touch on the potential risks and consequences of AI becoming too powerful, the importance of maintaining control over the technology, and the possibility of government intervention and regulation. The discussion concludes with a thought experiment about AI predicting human actions and creating transient capabilities that could lead to doom.
In this keynote and Q&A, Yuval Noah Harari summarizes and speculates on 'AI and the future of humanity'. There are a number of questions related to this discussion, including: "In what ways will AI affect how we shape culture? What threat is posed to humanity when AI masters human intimacy? Is AI the end of human history? Will ordinary individuals be able to produce powerful AI tools of their own? How do we regulate AI?" The event was organized and produced by the Frontiers Forum, dedicated to connecting global communities across science, policy, and society to accelerate global science related initiatives. It was produced and filmed with support from Impact, on April 29, 2023, in Montreux, Switzerland.
New Delhi | Updated: June 5, 2023 18:15 IST
Artificial intelligence is shaking up the world. While experiments and research in this sub-field of computer science have been ongoing for decades, the recent launch of OpenAI’s powerful chatbot ChatGPT seems to be a seminal point in the timeline of AI technologies. The chatbot’s astounding abilities have led many companies to try their hands at developing their own chatbots or even integrating similar AI in their products and services.
Since time immemorial, new technologies or innovations have witnessed fear and awe before they were embraced by mankind. Most new inventions have been met with shock and apprehension, with many either hailing them or downright condemning them. The ongoing AI wave is no different. While many have heaped praise on it, there is scepticism in equal measure.
Yuval Noah Harari, known for the acclaimed non-fiction book Sapiens: A Brief History of Mankind, in his latest article in The Economist, has said that artificial intelligence has “hacked” the operating system of human civilization. The Israeli public intellectual has been known for his comments on the opportunities and threats from AI in recent times.
The root of the fear
In his latest article, he argues that the fear of AI has haunted humanity ever since the beginning of the computer age. However, he said that the newly emerged AI tools in recent years could threaten the survival of human civilization from an “unexpected direction.”
He demonstrated how AI could impact culture by talking about language, which is integral to human culture. “Language is the stuff almost all human culture is made of. Human rights, for example, aren’t inscribed in our DNA. Rather, they are cultural artifacts we created by telling stories and writing laws. Gods aren’t physical realities. Rather, they are cultural artifacts we created by inventing myths and writing scriptures,” wrote Harari.
He stated that democracy is also a language that dwells on meaningful conversations, and when AI hacks language it could also destroy democracy.
The author said that the rise of AI is having a profound impact on society, affecting various aspects of economics, politics, culture, and psychology. The 47-year-old wrote that the biggest challenge of the AI age was not the creation of intelligent tools but striking a collaboration between humans and machines.
To highlight the extent of how AI-driven misinformation can change the course of events, Harari touched upon the cult QAnon, a political movement affiliated with the far-right in the US. QAnon disseminated misinformation via “Q drops” that were seen as sacred by followers.
AI and the power of intimacy
Harari also shed light on how AI could form intimate relationships with people and influence their decisions. “Through its mastery of language, AI could even form intimate relationships with people and use the power of intimacy to change our opinions and worldviews,” he wrote. To demonstrate this, he cited the example of Blake Lemoine, a Google engineer who lost his job after publicly claiming that the AI chatbot LaMDA had become sentient. According to the historian, the controversial claim cost Lemoine his job. He asked if AI can influence people to risk their jobs, what else could it induce them to do?
Harari also said that intimacy was an effective weapon in the political battle of minds and hearts. He said that in the past few years, social media has become a battleground for controlling human attention, and the new generation of AI can convince people to vote for a particular politician or buy a certain product.
The author drew parallels between present-day AI and the notions of the world of illusions by 17th-century philosopher Rene Descartes and the idea of Maya from Buddhist and Hindu sages. Highlighting the need for regulations, Harari cited the example of nuclear energy, stating that while it could produce cheap power, it could also destroy human civilization. However, over the years, we have reshaped the international order to ensure that nuclear technology is used for the collective good.
Regulation is key
In his bid to call attention to the need to regulate AI technology, Harari said that the first regulation should be to make it mandatory for AI to disclose that it is an AI. He said it was important to put a halt on ‘irresponsible deployment’ of AI tools in the public domain, and regulating it before it regulates us.
The author also shed light on the fact that how the current social and political systems are incapable of dealing with the challenges posed by AI. Harari emphasised the need to have an ethical framework to respond to challenges posed by AI.
The author has, on numerous occasions, shared his thoughts on the rapid developments in AI. In March, Harari wrote an op-ed in The New York Times discussing the rapid progress and implications of GPT-like chatbots and the future of human interactions. He argued that while GPT-3 had made remarkable progress, it was far from replacing human interactions. He also suggested that AI could lead to greater inequality, something which billionaire Bill Gates had alluded to in his blog post.