As AI continues to develop at a rapid rate, concerns have been raised by experts and the so-called AI ‘godfathers’ about the imminent risks it could pose to people’s privacy, human rights, and safety.
Amid steps taken by the United Kingdom government and the European Union, in partnership with the U.S, to regulate the technology, a member of the non-statutory AI Council of the U.K. government has said that the very powerful artificial general intelligence (AGI) systems may eventually have to be banned.
Midcap information technology (IT) services firm, Mphasis, on Thursday, announced the setting up of a business unit dedicated to generative artificial intelligence (AI). The unit will offer advisory on adoption of generative AI solutions to clients, develop the company’s own generative AI properties, offer licenses to over 250 AI models through the company’s ‘Hyperscaler’ solutions marketplace for clients, partnerships with 50 startups for helping clients build solutions, and offer conversational AI tools such as chatbots for clients to deploy in their business.
Anup Nair, who has so far served as senior vice-president and chief technology officer (CTO) of Mphasis Digital, will helm the unit, called Mphasis.ai, as its chief architect and CTO.
The launch of the dedicated business unit comes after a flurry of similar launches by pretty much every large-cap IT services firm in the country. On 6 April, Tech Mahindra became the first of the large domestic IT firms to launch a generative AI solution, called ‘Generative AI Studio’, to help clients deploy the technology for content generation use cases.
Joscha Bach is a cognitive scientist focusing on cognitive architectures, consciousness, models of mental representation, emotion, motivation and sociality.
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.
Subscribe if you want more conversations on Theories of Everything, Consciousness, Free Will, God, and the mathematics / physics of each.
I’m producing an imminent documentary Better Left Unsaid http://betterleftunsaidfilm.com on the topic of “when does the left go too far?” Visit that site if you’d like to contribute to getting the film distributed (in 2020) and seeing more conversations like this.
Researchers in Canada and the United States have used deep learning to derive an antibiotic that can attack a resistant microbe, acinetobacter baumannii, which can infect wounds and cause pneumonia. According to the BBC, a paper in Nature Chemical Biology describes how the researchers used training data that measured known drugs’ action on the tough bacteria. The learning algorithm then projected the effect of 6,680 compounds with no data on their effectiveness against the germ.
In an hour and a half, the program reduced the list to 240 promising candidates. Testing in the lab found that nine of these were effective and that one, now called abaucin, was extremely potent. While doing lab tests on 240 compounds sounds like a lot of work, it is better than testing nearly 6,700.
Interestingly, the new antibiotic seems only to be effective against the target microbe, which is a plus. It isn’t available for people yet and may not be for some time — drug testing being what it is. However, this is still a great example of how machine learning can augment human brainpower, letting scientists and others focus on what’s really important.
Vice President of AI & Quantum Computing, Paul Smith-Goodson gives his analysis of quantum machine learning models and IonQ’s strategy to make it a reality.
Welcome to the Tesla Space, where we share the latest news, rumors, and insights into all things Tesla, Space X, Elon Musk, and the future! We’ll be showing you all of the new details around the Tesla Model 3 2023, Tesla Model Y 2023, along with the Tesla Cybertruck when it finally arrives, it’s already ordered!
USC Dornsife researchers employ artificial intelligence to unveil the intricate world of DNA structure and chemistry, enabling unprecedented insights into gene regulation and disease.
