>3/18 24: Similarities between Electronic Computers and the Human Brain: Thank you Jensen Huang for best week of Learning since John Von Neumann shared with The Economist 1956 notes Computer & The Brain
HAPPY 2024: in this 74th year since The Economist started mediating futures of brainworking machines clued by the 3 maths greats NET (Neumann, Einstein, Turing) people seem to be chatting about 5 wholly different sorts of AI. 1BAD: The worst tech system designers don't deserve inclusion in human intel at all, and as Hoover's Condoleezza Rice . 2 reports their work is result of 10 compound techs of which Ai is but one. Those worst for world system designs may use media to lie or multiply hate or hack, and to perpetuate tribal wars and increase trade in arms. Sadly bad versions of tv media began in USA early 1960s when it turned out what had been the nation's first major export crop, tobacco, was a killer. Please note for a long time farmers did not know bac was bad: western HIStory is full of ignorances which lawyer-dominated societies then cover up once inconvenient system truths are seen. A second AI ecommerce type (now 25 years exponential development strong) ; this involves ever more powerful algorithms applied to a company's data platform that can be app'd to hollow out community making relatively few people richer and richer, or the reverse. You can test a nation's use of this ai by seeing if efinance has invested in the poorest or historically most disconnected - see eg bangladesh's bklash, one of the most populous digital cash systems . Digital money is far cheaper to distribute let alone to manually account for so power AI offers lots of lessons but whether its good or not depends in part on whether there are enough engineers in gov & public service to see ahead of what needs regulating. There are 2 very good ai's which have only scaled in recent years that certainly dont need regulating by non engineers and one curious ai which was presented to congress in 2018 but which was left to multiply at least 100 variants today the so-called chats or LLMs. Lets look at the 2 very good ai's first because frankly if your community is concerned about any extinction risks these AI may most likely save you, One I call science AI and frankly in the west one team is so far ahead that we should count ourselves lucky that its originator Hassabis has mixed wealth and societal growth. His deep mind merged with google to make wealth but open sourced the 200 million protein databank equivalent to a billion hours of doctorate time- so now's the time for biotech to save humanity if it ever does. Alongside this the second very good AI graviates around Fei-Fei Li) in developing 20 million imagenet database so that annual competitions training computers to see 20000 of the most everyday sights we humans view around the world including things and life-forms such as nature's plants and animals. Today, students no longer need to go back to 0.1 programming to ask computer about any of these objects; nor do robots or and autonomous vehicles - see fei-fei li's book worlds i see which is published in melinda gates Entrepreneurial Revolution of girl empowerment
EW::ED , VN Hypothesis: in 21st C brainworking worlds how people's times & data are spent is foundational to place's community health, energy and so natural capacity to grow/destroy wealth -thus species will depend on whether 1000 mother tongue language model mediates intelligence/maths so all communities cooperatively celebrate lifetimes and diversity's deep data ) . Check out "Moore exponential patterns" at year 73 of celebrating Game : Architect Intelligence (Ai) - players welcome .. some jargon

Friday, April 28, 2023

5 human senses - what chatgpt can help you emotionally identify with


when we talk about the 5 human senses there are other intels than text or image recognition - can you tell me which of these others has an advanced ai model and if so what is it called in each case?


Yes, there are several other senses beyond vision and hearing that have AI models developed to emulate them. Here are a few examples:

  1. Touch: Haptic technology involves simulating the sense of touch through vibrations, forces, or other tactile feedback. There are AI models being developed to enable more advanced haptic interactions, such as those used in virtual reality or robotics. One example is the "tactile sensing" system developed by researchers at MIT, which uses AI to interpret tactile data from a sensor array and generate corresponding feedback.
  2. Smell: While the sense of smell is much harder to emulate with technology than touch or vision, there are some AI models being developed to analyze and classify odors. For example, researchers at IBM have developed an "artificial olfaction" system that uses machine learning algorithms to identify and classify different odors based on their chemical composition.
  3. Taste: Similar to smell, there are AI models being developed to analyze and classify flavors. For example, researchers at the University of Copenhagen have developed an "electronic tongue" that uses sensors and machine learning algorithms to classify different types of beer based on their taste.
  4. Proprioception: This is the sense of awareness of one's own body position and movement. While there are no AI models specifically designed to emulate proprioception, there are AI systems being developed to enhance proprioception in robots and other autonomous systems. For example, researchers at the University of Maryland have developed a "tactile motion guidance" system that uses sensors and AI to help robots navigate their environment by sensing their own movement and position.
x this is a big subject we will come back to - eg at mit augmented reallity research looks at things the other way round- if for example we have designed ai or robots to be good at seeing - can that wizardry support indivif=duals eg who are blind; some good news when ai can help with such augmentation usually the person has developed their other senses so much that the  combo can be uniquely smart

whats not important for youth celebrating UN and their generation's sustainability is what we call next media designs in 2020s (web3 metaverse etc) ; what matters is good every digital technology which we are mixing in this epoch changing era- make sure you know how much time you arle spening in digitally mediated world - the more you spend the more you need to be demanding your skils are being increased - we will see that some of good ai unique contributions are coming from those who have spent a lot of time in gaming but found the platform owned what they had created  see eg www.economisthongkong.com for some new advances

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