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
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

Saturday, April 29, 2023

what is conversational ai

here is chatgpt on Conversational AI 

  • Conversational AI refers to a type of artificial intelligence that can simulate human conversation or interaction through natural language processing (NLP) techniques. This technology can be used to build chatbots, virtual assistants, and other similar applications.
 
probably 90% of phone calls we make as customers now put us through conversational ai and quite frankly historically its wasted a lot of us the peopels time ; but now watch out if its designed to sell its now been backed by tons of big business money  put into selling people stuff - of course part and parcel of this is algorithm design which can require very deep/diverse data science or which be poor quality (algorithm is a big subject we will re-examone another time)

unlike commerce conversational ai in educastion has been relatively overlooked or underfunded - this is the opposite way round from von neumann alumni recommendations these last 73 years -  (I have been discussing with Von Neumann's daughter wherther a Neumann AI Hall of Fame is needed) 

ultimately networking life critical  knowhow is number 1 above zero sum model neumann and all 
matehmaticians and brain scientists inspired by von neumann can map; its also related to the vast majority of new livelihoods millennials need as community builders and zero carbon chasers (golden oldie reference see einstein's conversation on freud and behavioral persuasion)

when we talk about which of the 5 human senses ai is now capable of augmenting or conversing in -clearly conversational ai tends to mix in any senses useful to behavioral impacts of ai for better or for worse- in that sense conversational ai is digital lead contribution to brand leadership - see our 1980s work differentiating brand purpose for good from brand communications for greenwashing

bottom line :extreme commercial or political persuasion web designs and selling of addictive things is the opposite of good ai let alone UN ai for sdg youth friendships 
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1 comment:

  1. chris macraeMay 2, 2023 at 12:38 PM

    Chatgpt nominates these as famous conversation ai agents - nb its not clear how 1 dimensional some of them are compared with 4 multiplierts of CGPT- partly because they have a focused job selling you from their clients data-world,

    Siri - Apple's virtual assistant, which can answer questions and carry out tasks using natural language commands.

    Alexa - Amazon's virtual assistant, which is integrated into various smart devices and can perform tasks such as playing music, setting reminders, and ordering products.

    Google Assistant - Google's virtual assistant, which can answer questions, play music, and control smart home devices.

    Cortana - Microsoft's virtual assistant, which can schedule appointments, send emails, and provide reminders.

    Xiaoice - A popular conversational agent in China, which can chat with users about a variety of topics and provide emotional support.

    Mitsuku - An award-winning chatbot that can converse with users on a wide range of topics.

    Replika - A conversational agent that uses AI to learn from users and develop a personalized relationship with them.

    Woebot - A mental health chatbot that provides cognitive-behavioral therapy and emotional support.

    These are just a few examples, and there are many other conversational agents that are being developed and deployed in various industries and domains.






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