Podcasts about thinking machines

Play Episode Listen Later Nov 20, 2024 29:43

It's the UConn Popcast, and in this episode of our series on artificial intelligence, we discuss Joanna Bryson's essay “Robots Should be Slaves.” We dive headlong into this provocative argument about the rights of robots. As scholars of cultural and social understanding, we are fascinated by the arguments Bryson - a computer scientist - makes about who should, and should not, be rights-bearing members of a community. Does Bryson mean we should enslave robots now and always, regardless of their claims to rights? How does Bryson deal with the natural human tendency to anthropomorphize non-human things, and with the likelihood that as AI advances, robots will appear more human? If the robot as slave is an unacceptable idea - even in metaphorical form - then what other metaphors might help us think through our relationships with thinking machines? Music by aiva.ai Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

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Thinking Machines: Will Robots Have Rights?

Play Episode Listen Later Nov 20, 2024 29:43

It's the UConn Popcast, and in this episode of our series on artificial intelligence, we discuss Joanna Bryson's essay “Robots Should be Slaves.” We dive headlong into this provocative argument about the rights of robots. As scholars of cultural and social understanding, we are fascinated by the arguments Bryson - a computer scientist - makes about who should, and should not, be rights-bearing members of a community. Does Bryson mean we should enslave robots now and always, regardless of their claims to rights? How does Bryson deal with the natural human tendency to anthropomorphize non-human things, and with the likelihood that as AI advances, robots will appear more human? If the robot as slave is an unacceptable idea - even in metaphorical form - then what other metaphors might help us think through our relationships with thinking machines? Music by aiva.ai Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science-technology-and-society

music ai robots rights slaves thinking machines joanna bryson uconn popcast

Thinking Machines: Will Robots Have Rights?

New Books in Law

Play Episode Listen Later Nov 20, 2024 29:43

It's the UConn Popcast, and in this episode of our series on artificial intelligence, we discuss Joanna Bryson's essay “Robots Should be Slaves.” We dive headlong into this provocative argument about the rights of robots. As scholars of cultural and social understanding, we are fascinated by the arguments Bryson - a computer scientist - makes about who should, and should not, be rights-bearing members of a community. Does Bryson mean we should enslave robots now and always, regardless of their claims to rights? How does Bryson deal with the natural human tendency to anthropomorphize non-human things, and with the likelihood that as AI advances, robots will appear more human? If the robot as slave is an unacceptable idea - even in metaphorical form - then what other metaphors might help us think through our relationships with thinking machines? Music by aiva.ai Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/law

music ai robots rights slaves thinking machines joanna bryson uconn popcast

The Engines of Our Ingenuity 2487: Von Neuman, Computers, and Brains

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Play Episode Listen Later Nov 13, 2024 3:54

Episode: 2487 John von Neumann's ideas on the similarities and differences of computers and brains. Today, UH math professor Krešo Josić talks about brains, computers and John von Neumann.

Thinking Machines: The First AI Takeover Story

New Books in Literary Studies

Play Episode Listen Later Nov 2, 2024 33:50

It's the UConn Popcast, and in the second of our series on Thinking Machines we consider Karel Čapek's “Rossum's Universal Robots” (1920). Čapek's play invented the word “robot” and pioneered the genre of the AI uprising. The play - a clear influence on works such as 2001, Blade Runner, The Terminator, and Battlestar Galactica – is a deep rumination on the boundary between the natural and artificial, the mechanical and the ineffable, and the sacred and the profane. We react to this seminal work in popular thinking about artificial intelligence, written more than a century ago yet retaining deep resonance today. Music by Aiva. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

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Thinking Machines: The First AI Takeover Story

Play Episode Listen Later Nov 2, 2024 33:50

It's the UConn Popcast, and in the second of our series on Thinking Machines we consider Karel Čapek's “Rossum's Universal Robots” (1920). Čapek's play invented the word “robot” and pioneered the genre of the AI uprising. The play - a clear influence on works such as 2001, Blade Runner, The Terminator, and Battlestar Galactica – is a deep rumination on the boundary between the natural and artificial, the mechanical and the ineffable, and the sacred and the profane. We react to this seminal work in popular thinking about artificial intelligence, written more than a century ago yet retaining deep resonance today. Music by Aiva. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/literary-studies

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Thinking Machines: The First AI Takeover Story

New Books in Intellectual History

Play Episode Listen Later Nov 2, 2024 33:50

It's the UConn Popcast, and in the second of our series on Thinking Machines we consider Karel Čapek's “Rossum's Universal Robots” (1920). Čapek's play invented the word “robot” and pioneered the genre of the AI uprising. The play - a clear influence on works such as 2001, Blade Runner, The Terminator, and Battlestar Galactica – is a deep rumination on the boundary between the natural and artificial, the mechanical and the ineffable, and the sacred and the profane. We react to this seminal work in popular thinking about artificial intelligence, written more than a century ago yet retaining deep resonance today. Music by Aiva. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/intellectual-history

music ai takeover terminator blade runner battlestar galactica rossum universal robots aiva thinking machines uconn popcast

Thinking Machines: The First AI Takeover Story

New Books in Eastern European Studies

Play Episode Listen Later Nov 2, 2024 33:50

It's the UConn Popcast, and in the second of our series on Thinking Machines we consider Karel Čapek's “Rossum's Universal Robots” (1920). Čapek's play invented the word “robot” and pioneered the genre of the AI uprising. The play - a clear influence on works such as 2001, Blade Runner, The Terminator, and Battlestar Galactica – is a deep rumination on the boundary between the natural and artificial, the mechanical and the ineffable, and the sacred and the profane. We react to this seminal work in popular thinking about artificial intelligence, written more than a century ago yet retaining deep resonance today. Music by Aiva. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/eastern-european-studies

music ai takeover terminator blade runner battlestar galactica rossum universal robots aiva thinking machines uconn popcast

Thinking Machines: The First AI Takeover Story

Play Episode Listen Later Nov 2, 2024 33:50

It's the UConn Popcast, and in the second of our series on Thinking Machines we consider Karel Čapek's “Rossum's Universal Robots” (1920). Čapek's play invented the word “robot” and pioneered the genre of the AI uprising. The play - a clear influence on works such as 2001, Blade Runner, The Terminator, and Battlestar Galactica – is a deep rumination on the boundary between the natural and artificial, the mechanical and the ineffable, and the sacred and the profane. We react to this seminal work in popular thinking about artificial intelligence, written more than a century ago yet retaining deep resonance today. Music by Aiva. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science-technology-and-society

music ai takeover terminator blade runner battlestar galactica rossum universal robots aiva thinking machines uconn popcast

Thinking Machines: The First AI Takeover Story

New Books in Technology

Play Episode Listen Later Nov 2, 2024 33:50

It's the UConn Popcast, and in the second of our series on Thinking Machines we consider Karel Čapek's “Rossum's Universal Robots” (1920). Čapek's play invented the word “robot” and pioneered the genre of the AI uprising. The play - a clear influence on works such as 2001, Blade Runner, The Terminator, and Battlestar Galactica – is a deep rumination on the boundary between the natural and artificial, the mechanical and the ineffable, and the sacred and the profane. We react to this seminal work in popular thinking about artificial intelligence, written more than a century ago yet retaining deep resonance today. Music by Aiva. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

music ai takeover terminator blade runner battlestar galactica rossum universal robots aiva thinking machines uconn popcast

Thinking Machines: The Turing Test at 75

Play Episode Listen Later Oct 23, 2024 29:03

It's the UConn Popcast, and this is the first episode in our new series about artificial intelligence and popular culture. In this first episode, we revisit Alan Turing's seminal1950 paper Computing Machinery and Intelligence, in which he asks "Can machines think?" In the paper, Turing proposes what became known as "The Turing test," a game of deception which, if a machine were to pass it, could be said to herald the onset of the age of machine intelligence. With large language models (LLMs) today easily passing this test, we react to the paper and examine the implications from a humanistic standpoint. Did Turing successfully predict contemporary LLMs 75 years ago? What does it mean that Turing's test was based not on the abilities of a machine per se, but rather on a machine's ability to deceive humans? How have Turing's ideas permeated our cultural and popular cultural ideas about AI? And why did Turing think ESP had a role to play in understanding AI. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

ai intelligence esp turing alan turing turing test computing machinery thinking machines uconn popcast

Thinking Machines: The Turing Test at 75

Play Episode Listen Later Oct 23, 2024 29:03

It's the UConn Popcast, and this is the first episode in our new series about artificial intelligence and popular culture. In this first episode, we revisit Alan Turing's seminal1950 paper Computing Machinery and Intelligence, in which he asks "Can machines think?" In the paper, Turing proposes what became known as "The Turing test," a game of deception which, if a machine were to pass it, could be said to herald the onset of the age of machine intelligence. With large language models (LLMs) today easily passing this test, we react to the paper and examine the implications from a humanistic standpoint. Did Turing successfully predict contemporary LLMs 75 years ago? What does it mean that Turing's test was based not on the abilities of a machine per se, but rather on a machine's ability to deceive humans? How have Turing's ideas permeated our cultural and popular cultural ideas about AI? And why did Turing think ESP had a role to play in understanding AI. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

ai intelligence esp turing alan turing turing test computing machinery thinking machines uconn popcast

Thinking Machines: The Turing Test at 75

Play Episode Listen Later Oct 23, 2024 29:03

It's the UConn Popcast, and this is the first episode in our new series about artificial intelligence and popular culture. In this first episode, we revisit Alan Turing's seminal1950 paper Computing Machinery and Intelligence, in which he asks "Can machines think?" In the paper, Turing proposes what became known as "The Turing test," a game of deception which, if a machine were to pass it, could be said to herald the onset of the age of machine intelligence. With large language models (LLMs) today easily passing this test, we react to the paper and examine the implications from a humanistic standpoint. Did Turing successfully predict contemporary LLMs 75 years ago? What does it mean that Turing's test was based not on the abilities of a machine per se, but rather on a machine's ability to deceive humans? How have Turing's ideas permeated our cultural and popular cultural ideas about AI? And why did Turing think ESP had a role to play in understanding AI. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science-technology-and-society

ai intelligence esp turing alan turing turing test computing machinery thinking machines uconn popcast

Thinking Machines: The Turing Test at 75

New Books in Popular Culture

Play Episode Listen Later Oct 23, 2024 29:03

It's the UConn Popcast, and this is the first episode in our new series about artificial intelligence and popular culture. In this first episode, we revisit Alan Turing's seminal1950 paper Computing Machinery and Intelligence, in which he asks "Can machines think?" In the paper, Turing proposes what became known as "The Turing test," a game of deception which, if a machine were to pass it, could be said to herald the onset of the age of machine intelligence. With large language models (LLMs) today easily passing this test, we react to the paper and examine the implications from a humanistic standpoint. Did Turing successfully predict contemporary LLMs 75 years ago? What does it mean that Turing's test was based not on the abilities of a machine per se, but rather on a machine's ability to deceive humans? How have Turing's ideas permeated our cultural and popular cultural ideas about AI? And why did Turing think ESP had a role to play in understanding AI. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science-technology-and-society

ai intelligence esp turing alan turing turing test computing machinery thinking machines uconn popcast

Thinking Machines: The Turing Test at 75

New Books in Technology

Play Episode Listen Later Oct 23, 2024 29:03

It's the UConn Popcast, and this is the first episode in our new series about artificial intelligence and popular culture. In this first episode, we revisit Alan Turing's seminal1950 paper Computing Machinery and Intelligence, in which he asks "Can machines think?" In the paper, Turing proposes what became known as "The Turing test," a game of deception which, if a machine were to pass it, could be said to herald the onset of the age of machine intelligence. With large language models (LLMs) today easily passing this test, we react to the paper and examine the implications from a humanistic standpoint. Did Turing successfully predict contemporary LLMs 75 years ago? What does it mean that Turing's test was based not on the abilities of a machine per se, but rather on a machine's ability to deceive humans? How have Turing's ideas permeated our cultural and popular cultural ideas about AI? And why did Turing think ESP had a role to play in understanding AI. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

ai intelligence esp turing alan turing turing test computing machinery thinking machines uconn popcast

Thinking Machines: The Turing Test at 75

New Books in Technology

Play Episode Listen Later Oct 23, 2024 29:03

It's the UConn Popcast, and this is the first episode in our new series about artificial intelligence and popular culture. In this first episode, we revisit Alan Turing's seminal1950 paper Computing Machinery and Intelligence, in which he asks "Can machines think?" In the paper, Turing proposes what became known as "The Turing test," a game of deception which, if a machine were to pass it, could be said to herald the onset of the age of machine intelligence. With large language models (LLMs) today easily passing this test, we react to the paper and examine the implications from a humanistic standpoint. Did Turing successfully predict contemporary LLMs 75 years ago? What does it mean that Turing's test was based not on the abilities of a machine per se, but rather on a machine's ability to deceive humans? How have Turing's ideas permeated our cultural and popular cultural ideas about AI? And why did Turing think ESP had a role to play in understanding AI. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

ai intelligence esp turing alan turing turing test computing machinery thinking machines uconn popcast

Thinking Machines: The Turing Test at 75

Play Episode Listen Later Oct 23, 2024 29:03

It's the UConn Popcast, and this is the first episode in our new series about artificial intelligence and popular culture. In this first episode, we revisit Alan Turing's seminal1950 paper Computing Machinery and Intelligence, in which he asks "Can machines think?" In the paper, Turing proposes what became known as "The Turing test," a game of deception which, if a machine were to pass it, could be said to herald the onset of the age of machine intelligence. With large language models (LLMs) today easily passing this test, we react to the paper and examine the implications from a humanistic standpoint. Did Turing successfully predict contemporary LLMs 75 years ago? What does it mean that Turing's test was based not on the abilities of a machine per se, but rather on a machine's ability to deceive humans? How have Turing's ideas permeated our cultural and popular cultural ideas about AI? And why did Turing think ESP had a role to play in understanding AI. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/popular-culture

ai intelligence esp turing alan turing turing test computing machinery thinking machines uconn popcast

Thinking Machines: The Turing Test at 75

New Books in Popular Culture

Play Episode Listen Later Oct 23, 2024 29:03

It's the UConn Popcast, and this is the first episode in our new series about artificial intelligence and popular culture. In this first episode, we revisit Alan Turing's seminal1950 paper Computing Machinery and Intelligence, in which he asks "Can machines think?" In the paper, Turing proposes what became known as "The Turing test," a game of deception which, if a machine were to pass it, could be said to herald the onset of the age of machine intelligence. With large language models (LLMs) today easily passing this test, we react to the paper and examine the implications from a humanistic standpoint. Did Turing successfully predict contemporary LLMs 75 years ago? What does it mean that Turing's test was based not on the abilities of a machine per se, but rather on a machine's ability to deceive humans? How have Turing's ideas permeated our cultural and popular cultural ideas about AI? And why did Turing think ESP had a role to play in understanding AI. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/popular-culture

ai intelligence esp turing alan turing turing test computing machinery thinking machines uconn popcast

Michael Lewis on Sam Bankman-Fried and Effective Altruism

Play Episode Listen Later Oct 10, 2024 56:52

David talks to author Michael Lewis about SBF and EA: about the man he got to know before, during and after his spectacular fall and about the philosophy with which he was associated. What did Sam Bankman-Fried believe was the purpose of making so much money? How did he manage to get so side-tracked from doing good? Why when it all went wrong did he fail to save himself? A conversation about utilitarianism, risk and human weakness.Going Infinite: The Rise and Fall of a New Tycoon by Michael Lewis is out now in paperback with a new afterword https://bit.ly/3ZXr88u The second bonus episode to accompany our recent series on Thinking Machines is available now: David and Shannon Vallor talk about where AI is really taking us, sorting the reality from the hype. Sign up to PPF+ for just £5 per month or £50 a year for 24 bonus episodes https://www.ppfideas.com/join-ppf-plusTo get the latest edition of our free fortnightly newsletter (out tomorrow), with lots more on SBF and EA and plenty else besides, sign up here https://www.ppfideas.com/newslettersNext time: The Great Political Films: La Grande Illusion Hosted on Acast. See acast.com/privacy for more information.

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Thinking About Thinking Machines: Monk & Robot

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Play Episode Listen Later Oct 3, 2024 56:32

For episode four of our series on the history of thinking about thinking machines, David and Shannon discuss a very different sci-fi sensibility: Becky Chambers' Monk & Robot series (A Psalm for the Wild-Built (2021) and A Prayer for the Crown-Shy (2022)). What would it mean for robots to ‘wake up'? How might robots teach humans about the nature of care and about the care of nature? And where do robots fit into a neurodiverse world? Plus: robots vs octopi. There is another bonus episode to accompany this series available from Saturday on PPF+: David and Shannon talk about where AI is really taking us, sorting the reality from the hype. Sign up now for just £5 per month or £50 a year for 24 bonus episodes. https://www.ppfideas.com/join-ppf-plusNew PPF merch is available on our website: choose from a canvas tote bag or a bone china mug https://www.ppfideas.com/merchNext time: Gary Gerstle on the current state of the American election. Hosted on Acast. See acast.com/privacy for more information.

Thinking About Thinking Machines: Do Androids Dream of Electric Sheep?

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Play Episode Listen Later Sep 29, 2024 56:00

Today's episode in our series on the history of thinking about thinking machines explores the novel that inspired Blade Runner: Philip K. Dick's Do Androids Dream of Electric Sheep? (1968). David talks to Shannon Vallor about what the book has that the film lacks and how it comprehensively messes with the line between human and machine, the natural and the artificial. What is the meaning of the electric sheep?To hear a bonus episode on Mary Shelley's Frankenstein to accompany this series sign up now to PPF+ and get ad-free listening and all our other bonuses too: £5 per month or £50 a year for 24 bonus episodes. https://www.ppfideas.com/join-ppf-plusPPF merch is now available on our website: choose from a canvas tote bag or a bone china mug https://www.ppfideas.com/merchNext time: Becky Chambers' Monk & Robot series. Hosted on Acast. See acast.com/privacy for more information.

Thinking About Thinking Machines: Isaac Asimov's ‘Franchise'

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Play Episode Listen Later Sep 26, 2024 53:47

In today's episode in our series on the history of thinking about thinking machines, David and Shannon discuss Isaac Asimov's 1955 short story ‘Franchise', which imagines the American presidential election of 2008 as decided by one voter and a giant computer. Part prophecy, part parody: have either its predictions or its warnings about democracy come true? How does the power of technology shape contemporary politics? And why was Asimov's vision of the future so reactionary?To hear a bonus episode on Mary Shelley's Frankenstein to accompany this series sign up now to PPF+ and get ad-free listening and all our other bonuses too: £5 per month or £50 a year for 24 bonus episodes. https://www.ppfideas.com/join-ppf-plusThe latest edition of our free newsletter is out tomorrow with guides, clips and links for this series: join our mailing list https://www.ppfideas.com/newsletters Next time: Philip K. Dick's Do Androids Dream of Electric Sheep? Hosted on Acast. See acast.com/privacy for more information.

Thinking About Thinking Machines: Metropolis

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Play Episode Listen Later Sep 22, 2024 52:32

For the first episode in our new series on the history of thinking about thinking machines, David talks to philosopher Shannon Vallor about Fritz Lang's Metropolis (1927). The last great silent film is the most futuristic: a vision of robots and artificial life, it is also about where the human heart fits into an increasingly mechanised world. Is it prophetic? Is it monstrous? And who are the winners and losers when war is declared on the machines?To hear a bonus episode on Mary Shelley's Frankenstein to accompany this series sign up now to PPF+ and get ad-free listening and all our other bonuses too: £5 per month or £50 a year for 24 bonus episodes. https://www.ppfideas.com/join-ppf-plusNext time: Isaac Asimov's ‘Franchise' Hosted on Acast. See acast.com/privacy for more information.

Business, Innovation and Managing Life (April 24, 2024)

The Stephen Wolfram Podcast

Play Episode Listen Later Aug 23, 2024 87:04

Stephen Wolfram answers questions from his viewers about business, innovation, and managing life as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-business-qa Questions include: How do businesses adapt to changing technology? Are there existing strategies to combat roadblocks in development? - Is Wolfram Language much faster today than it was 35 years ago? - What has been the biggest or most notable technological advancement in your lifetime? - How do you think about the "buy" vs. "build" dilemma–notably for one so opinionated and driven to have it one's way as yourself, as opposed to being more compromising? - How do you think about and handle competition, be it business or technological competition (say LLMs vs. the Wolfram Language symbolic approach)? - Do you think having middle management in high-tech companies hinders innovation? - You just mentioned that someone can't build something that took 30 years to build. Do you think that will change with AI advancing enough to cut build timeframes by orders of magnitude? - Speaking of that area, what innovation and business lessons can be learned from Thinking Machines and such failed ventures? - Do you agree that technology is brimming with ideas and resources, many of which are free? This shift has transformed business approaches, with today's opportunities primarily centered around services. - I appreciate your approach to making software easy to use. I've used Oracle, SAP and JD Edwards ERP software and so much of it is overly complicated. We were tethered to them for support. - Any advice on starting a career in tech with everything moving at such a fast pace? - I've read about your endeavors, from writing books at 13 to earning a PhD at 20. How did you manage such accomplishments and cultivate the imagination needed for complex topics?

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Voices of the Future: Frank Herbert | Stories From Space Podcast With Matthew S Williams

ITSPmagazine | Technology. Cybersecurity. Society

Play Episode Listen Later Apr 13, 2024 38:46

Host | Matthew S WilliamsOn ITSPmagazine

Voices of the Future: Frank Herbert | Stories From Space Podcast With Matthew S Williams

Stories From Space

Play Episode Listen Later Apr 13, 2024 38:46

Host | Matthew S WilliamsOn ITSPmagazine

Remote vs. Ofis, Link's Awakening, Sora, Bilinen İnternetin Sonu, Apple Car, Apple Sports

Farklı Düşün

Play Episode Listen Later Mar 3, 2024 145:13

Bu bölümde Remote vs. Ofis, Link's Awakening oyunu, OpenAI'ın Sora AI modeli, bilinen internetin sonu, Apple Car projesi ve Apple Sports uygulaması üzerine sohbet ettik.Bizi dinlemekten keyif alıyorsanız, kahve ısmarlayarak bizi destekleyebilir ve Telegram grubumuza katılabilirsiniz. :)Yorumlarınızı, sorularınızı ya da sponsorluk tekliflerinizi info@farklidusun.net e-posta adresine iletebilirsiniz. Bizi Twitter üzerinden takip edebilirsiniz.Zaman damgaları:00:00 - Haftamız nasıl geçti12:58 - Remote vs. Ofis23:15 - Mert Pekduraner25:45 - Link's Awakening / Oyun dünyası30:21 - Okuduklarımız38:25 - İzlediklerimiz48:50 - Sora1:11:35 - Bilinen İnternetin Sonu1:30:00 - Apple Sports1:46:00 - Apple Car Projesi2:19:18 - Xbox oyunları Playstation'a geliyorBölüm linkleri:FetheadWorking from Home vs. Working from OfficeMert PekduranerThe Legend of Zelda: Link's AwakeningSony is laying off 900 PlayStation employeesSPQR: A History of Ancient RomeFacebook: The Inside StoryDune: Part TwoMr. & Mrs. SmithHaloSoraTHE BUTLERIAN JIHAD (War of the Thinking Machines in DUNE) EXPLAINEDTumblr's owner is striking deals with OpenAI and Midjourney for training data, says reportAn expanded partnership with RedditVice is abandoning Vice.com and laying off hundredsYahoo lays off the leaders of EngadgetGoogle pauses Gemini's ability to generate AI images of people after diversity errorsIntroducing Apple Sports, a new app for sports fansApple's electric car project is deadSoorBYD AutoNio Inc.Xiaomi's first EV revealed in China, to be called Xiaomi SU7Apple's wearable ideas include smart glasses and cameras in your earsOura RingSamsung has big ambitions for the Galaxy RingMemory-In-Pixel (MIP) TechnologyNew Platforms, New Players: Four Fan-Favorite Xbox Games Coming to Nintendo Switch and Sony Platforms

Episode 83: This Episode Was Written By Thinking Machines

Quest for Adventure

Play Episode Listen Later Mar 1, 2024 118:35

Hiylp out da show, funnybums! Patreon: ⁠⁠⁠⁠⁠⁠⁠https://www.patreon.com/QuestForAdventure⁠⁠⁠⁠⁠⁠⁠ Linktree: ⁠⁠⁠⁠⁠⁠⁠https://linktr.ee/questforadventure⁠⁠⁠⁠⁠⁠⁠ Recording Date: February 10th, 2024 Release Date: March 1st, 2024 We read over 30 rapid adventures created by none other than ChatGPT! Music: AI Junk --- Send in a voice message: https://podcasters.spotify.com/pod/show/questforadventure/message

chatgpt thinking machines

When Your Superpower Becomes A Liability

The Clarifier

Play Episode Listen Later Feb 6, 2024 47:54

Meet Stef Sy, founder and CEO of Thinking Machines (TM). TM is a leading data consultancy, using AI to transform the way governments and conglomerates in South East Asia do business. Stef created TM because she wanted to put the power of data in all employees' hands, regardless of rank. And she wanted to make better jobs for emerging tech talent in her home-country, the Philippines. In 2015, when Stef created TM, it had a rock band ethos – a motley crew making beautiful music, often chaotically, where each individual was unique and indispensable. A few years later, this rock band vibe was getting in the way of TM's growth. To scale, TM needed to become an orchestra – a place where defined roles and processes enabled harmony. But Stef had always been more of a lead singer than a conductor. She faced a conundrum. No less than the future of her company - her mission and her life's work - was at stake. In this episode, you'll hear Stef share: 1:43 How she hired her early team back when Thinking Machines was relatively unknown: “It's a miracle that these people said yes.”5:29 What it was like to uncover her own hidden motivations and compulsions – the deeply personal reasons she had started TM.15:24 Her moment of reckoning: “Either the company changes or I change.” 23:20 Accepting that her superpower might have become a liability and taking the scary leap of hiring people who would operate in new and different ways. 30:36 Learning to trust and empower the people she had hired – even when their actions ran counter to all her instincts. 40:00 Talentism's 4D model for achieving scale: Do, Decide, Design, and Decode. For more on the 4D model check out this article (4 min read)

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Tamiko Thiel and The Connection Machine

Danielle Newnham Podcast

Play Episode Listen Later Feb 1, 2024 69:03

Today's guest is Tamiko Thiel – lead product designer of The Connection Machine – a revolutionary massively parallel artificial intelligence supercomputer which was developed in the 1980s. Originally conceived by Danny Hillis from MIT's artificial intelligence lab where he was studying under Marvin Minsky, Danny got an incredibly talented team together including Richard Feynman, Brewster Kale, Tamiko, and others to create what would become the fastest and most effective supercomputer of the time. And it's this part of her career that we focus on today.However, Tamiko went on to become a pioneering digital artist who has worked in the realm of virtual reality for the past thirty years, starting in 1994 when she worked with Steven Spielberg on the Starbright World project where they created an online interactive 3D virtual world for seriously ill children.Tamiko also received a Bachelor of Science degree in Product Design Engineering, from Stanford University in 1979 and received a Masters in Mechanical Engineering from MIT in 1983, with a focus on human-machine design and computer graphics, as well as a diploma from the Academy of fine arts in Munich, Germany. In today's conversation we dig deep into that special time in history when all the so-called experts said what Danny, Tamiko and co. were working on at Thinking Machines couldn't be done and where… they proved them all wrong.Enjoy!--------------Image of Tamiko copyright Tamiko ThielTamiko website / LinkedIn / InstagramI am not on social media this year but stay in touch via my Newsletter / YouTube--------------Tamiko in London March 2024The Travels of Mariko Horo interactive virtual reality installationBy Tamiko Thiel, 2006/2017, with original music by Ping JinIn "GLoW: ILLUMINATING INNOVATION"Bush House Arcade, King's College, Strand, LondonExhibition: 08 March - 20 April 2024Panel and opening event: 07 March, 6:30pmLocation: Great Hall, King's Building, Strand, King's College LondonThe CM-1 t-shirt and Tamiko's Travels of Mariko Horo mesh top will be shown in the following, with information on how to order them (from my web shops: http://tamikothiel.com/cm/cm-tshirt.html)Curiosity Cabinet, King's College171 Strand/Corner of Surrey St., Londonhttps://www.kcl.ac.uk/news/curiosity-cabinet-showcases-antiquities-and-oddities-on-the-strand

LLMs are Superstition – ØF

Jetpack for the Mind

Play Episode Listen Later Jan 29, 2024 14:41

Pablos: So what happens right now in scientific research is, if you're going to do a research study on something, like "are M&Ms is bad for you?" It's impossible to do that study. You have to be very specific and ask a much more fine grained questions like " how many M&Ms does it take to, Kill a mouse?" or to cause a mouse to vomit. You just have to be very specific cause that's something testable. You could test that, you can get multiple mice, you can feed them enough M&M's that they eventually vomit. The whole research study can be done that way. And so when you read scientific research studies, that's typically what you're looking at is some very narrowly defined thing that they believe is correlated to a much more significant or bigger effect, but you can't test the whole thing. You can't ask questions like, "does this thing cause cancer?" You can ask questions like, " does this amount of exposure to this thing over this much time cause this specific, type of cancer in this type of rat?" Things like that. So that's great and all because it means, we're structuring, tests that we can actually perform, but the downside is that for most people, what they would actually like to know is " do M&Ms cause cancer or how many of them is too much, things like that. Getting those answers is often not straightforward from scientific literature. And so the way that we. usually try to compensate for that is to do what's called a meta analysis. And a meta analysis is where somebody will go and dig up all of the studies on a given topic, combine them and try to say, "across a hundred studies involving M&Ms and cancer, this is kind of what happened" and, to just sort of give you a general sense of whether or not, the effect you're interested in is happening. Good examples of this are like, chiropraction is largely, debunked. A lot of people get pissed off at me talking about it because it can be a deluxe placebo, but in clinical trials, very few clinical trials are performed. It's hard to do them. Different practitioners have, different effectivity levels anyway. And so the problem is it's hard to run those studies, but even if you do, you can't find any indication that chiropraction actually cures anything. So this is a case where we don't have good research and the only way to try and get to the bottom of it is with a meta analysis where you find the studies that have been done and you sort of combine their results and try to say whether or not chiropraction works. People, there's no point arguing with me if you're listening and you think chiropractic is great. Go nuts. I encourage you not to do that, but, whatever, do your own thing. But the point is the only way you could get a reasonable answer is with this kind of meta analysis. Now meta analysis is very time consuming and difficult to perform and often isn't getting done, but what it really involves is just go read a bunch of studies. Well, it turns out that's what an LLM is really fucking good at. So you, so right now we're in a stunted position because one of the big problems with OpenAI and ChatGPT is they've crippled ChatGPT. It doesn't read scientific literature and even if it does, it's not really allowed to comment on it. So they've crippled the thing to keep you from talking to it about anything that might be health related and stuff like that. What you would really want an LLM to do, and one of the things that would be really good at is doing ad hoc meta analysis. So you could just say, "Hey, I feel like I'm getting a cold, should I take zinc?" There's people marketing zinc for that purpose. We've all been told to take zinc, but I don't fucking know if that's an old wives tale, Ash: It's like echinacea, zinc, doesn't matter, it's all those things. Pablos: I don't have time to go read every scientific research study, but I bet you collectively we have that answer, and so if I could just ask an LLM. Ash: Wasn't wasn't IBM's Watson at some point pretty good? Watson Health actually had all this. Pablos: That's probably what they were trying to do. Ash: They were doing it and they were doing pretty well. They weren't they weren't using a full LLM model. That's that was the whole breakthrough. Pablos: They were kind of in the pre LLM days. It was LM. It was just LM. It wasn't LLM. Ash: Just language models. And they were taking huge amounts of data. But what they had is they had their own normalized structures underneath. So that was the difference, right? They didn't let the structure form itself. But what you're saying is true. Pablos: You're right, and we could probably build like a Watson for health in a weekend now using, Stable Diffusion or something. It would be way better. You would just basically load it up with all the research and let it go nuts and then let people ask questions like, " Hey, should I be taking zinc?" Ash: The problem is reliability score. Pablos: Oh no, it'd be terrible, but it's already horrific. Right now, we're just going off superstition. I mean, literally that question of, should I take zinc? You're gonna get as many answers as people you ask because somebody's Chinese grandmother said You should be, taking echinacea instead. Ash: You should listen to my first class. The first part we were talking about is what is known as "triangulation of information truth." What is provenance for data. Then you have to figure out, how do you weigh it? LLMs are fantastic, like you said, because they can take all your source inputs. So if you go back to, to signal analysis, or analytics for like intelligence again. We'll just lean on that for a moment. Truth is great if you're playing with mathematics. You get QED and you call it a day for the most part. But for other things, truth, zinc, for example, like your zinc example. There's some balance between like how much did it really? Was it an emotional support protocol? Did it help you because you were convinced that, your grandmother was right or whatever's happening to, to actual physical actions internally, right? We can be scientific about it, but it comes back to source and information. If you pick a really, really dangerous topic and we won't go there, but let's just pick Gaza for one second. How do you find what's really happening? Well, you hear a lot and someone's like, "well, I read it in the Wall Street Journal." I read it here. I heard it there. I took Al Jazeera. I did Briebert. Whatever you picked. The question was, did you do it in all the languages? Did you listen to a local radio station? Did you find someone's signal data from nearby? What was happening? Did the bomb go off or did this happen? If you look at information, just like you're looking at these scientific papers, the question becomes the weighting factor. We as humans, I think one of the things we know how to maybe do, at least a good analyst should be able to do, is try to give weighting based on time and location and stuff. And I think the large language models have to start to put in context again. I think they have to add one more dimension. Pablos: For sure. And I think that you touched on the other thing, which is that right now, all this information is like floating around without, tracking provenance, and so, interestingly, like in scientific research, you at least have citations. which is a lightweight form of provenance. It's a start, but ultimately, the way these things all need to be built, not only , the LLMs for doing meta analysis, but really every knowledge graph needs to be built off of assertions that are tracked. You keep track of provenance, okay the sky is blue, well, who said the sky is blue? Where did you get that from? And that way, whenever you're ingesting some knowledge, it's coming with a track record. That's how we're going to solve news online, eventually. Ash: Kind of like, the Google Scholar score or whatever. I go back to my partner, to Palle, right? So Palé actually has a patent. It's probably expiring soon, so for those of you who want to do this, we should go do it. He owns webprovenance.com. And he owns the patent on how you check provenance. One of the things that came out of the BlackDuck software stuff was that at BlackDuck, we needed to know who created something. So do you remember the Sun Microsystems, IBM, lawsuit, Java? If you're a compiler theorist, then you know that, just because West Side Story takes place in New York, You could probably say, well, doesn't it sound exactly like, Romeo and Juliet? So maybe you change the variables, but it's the same stuff. And the idea was that when we were looking at, open source, with open source, the interesting thing is you're trying to figure out, where did this little rogue piece of code, this little GPL or LGPL infection come from? You need to find it. So it's one thing to talk about the combinatorials, but the other was to find it. And then Palle was like, well, I can do something cooler., He said, if Brewster Kahle's Way Back Machine, remember the original Alexa project? So If you could go in and take all that data, he's like, I could pretty much tell you like who killed JFK. You can find the provenance of almost any information. He wrote this wild algorithm for it. I'd love to see some of that incorporated into the LLM stuff because that algorithm, and again, we would happily, anyone out there if you're willing, this has been a project we've been looking at for the better part of 15 years. Pablos: Well Stability might pick it up. They love that kind of stuff, that would be a huge coup for them. Ash: Well, we should, we should have this conversation offline, but it's a, it's interesting. It's an incredibly cool algorithm. He was a compiler theorist anyway, an algorithmist, at Thinking Machines. So, he always wondered where the info came from. And I sat there and said, hey, we should find a way. And I remember the stunt I wanted was like, to figure out if they were aliens. And he's like, what do you mean? It's like, well, who started that rumor? Like, where did it happen? Right? So, imagine you could take any rumor, and I can tell you how it started. Pablos: That's so cool. Ash: Wouldn't that be the coolest thing ever? Pablos: So important. Ash: Yeah, and we need that. Pablos: That is super important. I've seen somewhere, a map that somebody made of where are all the UFO sightings reported? And like 98 percent of them are in the United States. I think the rest of the world doesn't even have UFO as like a notion. it's not even a, thing for them. Ash: It's cause we have no healthcare. Look, all I know is, years ago, we just didn't have enough data. Years ago, we couldn't. We were like, looking at the Wayback Machine, and we were like, I was like, well, who can we go to to get all the data? Can we get the entire web? Today, large language models have already stolen all the data. They already have it. So if you have enough of the data, we could definitely help you figure out the algorithm to go backwards and it's complicated. Pablos: That's super exciting. Ash: He actually patented it himself because he was trying to figure out if he didn't need a patent attorney. So that was his project, can I make a patent? And his patents on provenance. So I think it's a big coup if they could pull it off. Can you imagine you could just type in who started, where did this first start? Pablos: Dude, that's crazy cool. Ash: It's super cool. Pablos: I'm kind of always on a rant about this, but we need a variety of models. Like LLM is the beginning, not It's a thing that you need, like the way we're doing it now actually kind of sucks and requires a lot of brute force, but there's so many things that it's not good for. Ash: And it's so susceptible to the thing that, what did I do in my life? Psych warfare is all about information corruption. Dude, you corrupt a large language model, that thing is convinced that the sky is red at that point. Pablos: Exactly, well, I've been thinking about that. Why don't I just.. Ash: Corrupt it?. We're bad hackers. Pablos: I can fire up, 100,000, blogs written by an LLM that all just talk about my, prowess with the ladies. Ash: Exactly. Pablos: And the next thing you know, all the future LLMs will be trained on a massive amount of data that indicates that, Pablos is the man. Why wouldn't we do that? Ash: At the end of the day, the LLMs are basically superstition. There you go. I've just said it. Pablos: Right. They're superstition. There you go. Ash: LLMs are superstition. They're based on some concept of something that it derived because it took a whole lot of information from a lot of grandmothers. Pablos: And that's the thing, Like what's posted on the internet is all that they know. It's driving me crazy. Ash: Worse, it's only the people who have given them permission, so the quality sources are going to start cutting them off. So, all they've got, all you've got are the people who are generating rumors that they've seen UFOs. Pablos: Well, that's all true for the LLMs made in America. Ash: Yeah, so the American LLMs know where the UFOs are. Pablos: Japan decided that copyright doesn't apply to training LLMs. So the most powerful LLMs, for now, are gonna be in Japan. Sign me up. Ash: Even better, that means Japanese information... Pablos: That's probably true, learn Japanese. Ash: Which, think of it, if I wanted to build, my 100,000 LLMs generating your prowess, I'm gonna do it all in Japanese. I'll do kanji, hiragana, and katakana. I'll give it to them in all three formats. You could crush it. I I would love to see any of these. I think that's, that should be our ask for everyone. Pablos: Yeah. Ash: if someone, someone wants to run with it, go build it. Pablos: Yeah, people, build this shit. Ash: Tell us. We can help you commercialize. We will find you.

Feature Episode (from A Better Normal): Thinking Machines Data Science with Stephanie Sy

Start Up Podcast PH

Play Episode Listen Later Dec 27, 2023 36:14

This feature episode is shared from PumaPodcast's A Better Normal. A Better Normal is a series by PumaPodcast where thought leaders share their bold vision for the future. A Better Normal's new season features creative entrepreneurs who will share how to make better decisions amid changing times. In this episode, Thinking Machines Data Science founder Stephanie Sy explains how to stay afloat in the vast ocean that is big data. PUMAPODCAST | Facebook: facebook.com/PumaPodcastPH | Spotify: https://open.spotify.com/show/0hbedbqzzXernSk8LyXlOt A BETTER NORMAL | Spotify: https://open.spotify.com/show/464RyAOOmqg4DZSb5G2yvS Make sure to Follow A Better Normal on your favorite podcast app, and listen to the show's newest season where they converse with other creative entrepreneurs.

normal feature data science thinking machines better normal stephanie sy

Engines of Our Ingenuity 2901: Cybernetics

engines ingenuity cybernetics norbert wiener thinking machines

Play Episode Listen Later Dec 20, 2023 3:50

Episode: 2901 Norbert Wiener and Cybernetics. Today, let's talk about Norbert Wiener and cybernetics.

How to stop PROCRASTINATION | ft. Rahul Raghuwanshi

The Shubham Baviskar Show | Self Improvement Podcast In Hindi

Play Episode Listen Later Dec 15, 2023 43:42

Rahul Raghuwanshi is a former Income Tax Officer. He is the founder of the Thinking Machines community. In this episode, he discussed the psychology behind procrastination and how to overcome it? How to achieve a flow state in work? How to overcome the fear of failure? How to overcome limiting beliefs and more.. Connect with Rahul sir: https://www.instagram.com/rhlraghuwanshi?igshid=OGQ5ZDc2ODk2ZA== Follow now "The Shubham Baviskar Show" https://www.instagram.com/theshubhambaviskarshow?igshid=OGQ5ZDc2ODk2ZA== --- Send in a voice message: https://podcasters.spotify.com/pod/show/shubham-baviskar/message

rahul stop procrastination thinking machines

Don't get overwhelmed by AI | A Better Normal

PumaPodcast

Play Episode Listen Later Oct 27, 2023 35:41

Technology, AI, and the rest of the world are constantly evolving, and it's natural to feel worried about how fast it's all going. Thinking Machines founder Stephanie Sy shares her mindset on how to stay afloat in the vast ocean that is big data on the "A Better Normal" podcast.Subscribe to A Better Normal to get into the mindset of a creative entrepreneur. Hosted on Acast. See acast.com/privacy for more information.

ai technology normal acast overwhelmed thinking machines better normal stephanie sy

Creating Opportunities For Young People with Bo Percival, UNICEF

HRchat Podcast

Play Episode Listen Later Aug 1, 2023 15:40

In this HRchat episode, we discuss creating opportunities for young people to raise their voice for greater digital inclusion and agency.Our guest today is on a mission to support a team of pioneers pursuing open innovation to accelerate results for children. Bo Percival is Senior Advisor, Innovation (Ventures) at UNICEF. Questions for Bo include:Tell us about the mission of UNICEF and how the UNICEF Venture Fund is supporting companies to help transform the lives of children in some of the toughest places on earth.Why is it "so important to hear what the youth of today want for a more free, open, safe and secure digital tomorrow"? Tell me about the UN's Summit of the Future in 2024. Along with UNICEF Innovation Ventures Fund founder Stephanie Sy from Thinking Machines plus Muhammad Lila, Founder & On-Air Host at Goodable, you were recently part of a session at Collision called 'Innovating to reach every child' Tell us more.Why Collision? What's the fit?How can blockchain be used for tangible impact? About UNICEFUNICEF works in some of the world's toughest places, to reach the world's most disadvantaged children. To save their lives. To defend their rights. To help them fulfill their potential. Across 190 countries and territories, the charity works for every child, everywhere, every day, to build a better world for everyone. And we never give up. Learn more: https://www.unicef.org/This episode is supported by Right Management North America and ManpowerGroup. For 40+ years, Right Management has transformed organizations across more than 75 countries by evaluating, developing, and transitioning their talent. Their strong pool of coaches and leadership experts works closely with candidates to help them identify their strengths, develop new capabilities, or transition to new careers.Feature Your Brand on the HRchat PodcastThe HRchat show has had 100,000s of downloads and is frequently listed as one of the most popular global podcasts for HR pros, Talent execs and leaders. It is ranked in the top ten in the world based on traffic, social media followers, domain authority & freshness. The podcast is also ranked as the Best Canadian HR Podcast by FeedSpot and one of the top 10% most popular shows by Listen Score. Want to share the story of how your business is helping to shape the world of work? We offer sponsored episodes, audio adverts, email campaigns, and a host of other options. Check out packages here and contact sales@hr-gazette.com. Follow us on LinkedIn Subscribe to our newsletter Check out our in-person events

Nikolai Yakovenko: GPT-3 and the rise of the thinking machines

Razib Khan's Unsupervised Learning

Play Episode Listen Later Dec 29, 2022 62:32 Very Popular

As 2022 draws to a close, the chat AI based on GPT-3 (Generative Pre-trained Transformer 3) has been taking the internet by storm, with millions of users beginning to ask it questions. Is humanity on the way to birthing a true artificial general intelligence (AGI)? I asked GPT-3 that particular question, and this was the answer: It is difficult to say for certain whether or not humanity is on the way to creating a true artificial general intelligence, as there is no clear consensus on what exactly a true AGI would be or what it would be capable of. However, it is clear that significant progress has been made in the field of artificial intelligence, and many experts believe that it is only a matter of time before we see AGI-level capabilities in machines. That being said, it is also important to note that the development of AGI is a highly complex and uncertain field, and it is impossible to predict exactly when, or even if, it will be achieved. Whether GPT-3 is truly intelligent, it's clearly just the beginning. At least according to this week's returning guest on Unsupervised Learning, Nikolai Yakovenko of Deep NFT Value, a machine-learning engineer who just last month took time to discuss what was going on at his old employer, Twitter. Yakovenko is not entirely surprised by GPT-3's abilities, though he admits progress is faster than expected. He tells Razib that there are more advanced versions of GPT-3, and Americans must brace themselves for a new technological revolution. He believes Westerners, in particular, due to their religious and metaphysical frame are unprepared for the changes that AI may produce in our society. Yakovenko rejects the most dystopian and negative predictions of hostile AI and singularity and argues that the Japanese are a model of a culture that is more sanguine about the emergence of human-like machine intelligence. Razib and Yakovenko also discuss the utility of AI-generated art and how it might replace or complement human artists.

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Engines of Our Ingenuity 2487: Von Neuman, Computers, & Brains

artificial intelligence computers neuroscience brains computer science engines neumann ingenuity neuman kre john von neumann thinking machines

Play Episode Listen Later Sep 13, 2022 3:49

Episode: 2487 John von Neumann's ideas on the similarities and differences of computers and brains. Today, UH math professor Krešo Josić talks about brains, computers, and John von Neumann.

Rodney Brooks on Thinking Machines, Artificial Intelligence, and the Montague Hotel Genie

Lexman Artificial

Play Episode Listen Later Jul 19, 2022 4:27

Rodney Brooks discusses his work on thinking machines, artificial intelligence, and theMontague Hotel genie.

hotels artificial intelligence genie montague genies rodney brooks thinking machines

Building Thinking Machines with Knowledge

Conversations on Applied AI

Play Episode Listen Later Jun 28, 2022 53:03 Transcription Available

The conversation this week is with Bryant Cruse. Bryant has been a pioneer in the application of AI technology to difficult real-world problems. He graduated from St. John's College in Annapolis, Maryland, where he acquired his lifelong interest in the philosophy of Epistemology. Or how we know what we know. After serving for eight years as a naval aviator, he returned to school for an MS in Space Systems Engineering from John Hopkins. While on the mission operations team for the Hubble Telescope, he found a personal mission to change the way spacecraft was operated by seeking a way to capture human knowledge and computers. This work led him to a six-month residency at the Lockheed AI Center in Palo Alto, he went on to found two successful AI companies, both of which were ultimately acquired by public corporations. New Sapience is his third technology company. The patented technology represents more than 15 years of development and a lifetime of thinking from first principles.If you are interested in learning about how AI is being applied across multiple industries, be sure to join us at a future AppliedAI Monthly meetup and help support us so we can make future Emerging Technologies North non-profit events!Emerging Technologies NorthAppliedAI MeetupResources and Topics Mentioned in this EpisodeNew SapienceMySapiens.comForward to the FutureLockheed Advanced Technology CenterSymbolic artificial intelligenceBloom's Taxonomy of LearningStochastic Optimization AlgorithmsAristotle's CategoriesWestern Canon BooksTuring testCarl Rogers Psychologist BiographyELIZA effectEnjoy!Your host,Justin Grammens

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TSG EP.24 Leveraging Data to the Max

Techsauce Global Podcast

Play Episode Listen Later Mar 4, 2022 32:05

Data is gold if you know how to mine it. . Find out how corporates are leveraging the power of data to the max for greater opportunities. . Techsauce Global Podcast talks to Stephanie Sy, CEO and founder of Thinking Machines, a leading data consultancy company that is building AI data platforms across Southeast Asia. . Sy shares her experience working in Silicon Valley and her mission of making a positive change in the SEA region with the power of data.

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Leadership Lessons From The Great Books (Bonus) - Marisa Zalabak, Open Channel Culture & Adaptive Leadership

Leadership Lessons From The Great Books

Play Episode Listen Later Feb 16, 2022 78:46

Marisa Zalabak - Open Channel Culture--- Welcome - 0:30 On Dystopian AI-Driven Culture - 1:00 Marisa Zalabak Intro - 6:00 Developing Human Skills of Adaptability - 10:00 What Psychologists Know About Consciousness - 13:45 AI as an Oil Race - 16:00 Transhuman Movemment, Personality and Intelligence - 20:00 St. Augustine, Toni Morisson, and What is Moral - 22:00 Lack of Critical Thinking in Education - 24:15 Leadership is Asking Better Questions - 25:00 Star Trek Talk - 26:50 Leadership and the Unexamined Container - 28:00 The Agency of the Individual Versus the Power of the Collective - 30:30 The Spiritual Implications of Thinking Machines - 39:00 Leadership and Morality - 42:00 Leadership and Transformative Change - 50:00 Managing Fear and Technology - 57:00 The Regenerative Movement - 1:00:00 Leadership Games - 1:10:00 Staying on the Path - 1:15:00 ---Marisa Zalabak - https://www.linkedin.com/in/marisa-zalabak-4368482b/Marisa Zalabak TED Talk - https://youtu.be/HdYrjmvUAfwSpeakers Who Dare NYC 2020 - https://youtu.be/KPDaq9uQiS8Speaker Salon NYC 2021: Stardust and the Uniqueness of Human Potential - https://youtu.be/IvlPn3aMCQkIEEE - https://www.ieee.org/Open Channel Culture - https://openchannelculture.com/The Open AI Project - https://openai.com/Marisa's Book List:Extended Mind by Annie Murphy PaulTheory U by Otto Sharmer et. alGreen Swans by John ElkingtonRace after Technology by Ruha BenjaminNet Positive: How Courageous Companies Thrive by Giving More Than They Take by Paul Polman & Andrew WinstonHeartificial Intelligence by John C. Havens Uncharted, How to Map the Future Together by Margaret HeffernanDoughnut Economics by Kate RaworthThe Good Ancestor: A Radical Prescription for Long Term Thinking by Roman KrznaricFlux by Anne RinneAnd, of course, classics authors for Ethics & Leadership: Toni Morrison, Joseph Campbell, Proust, Vicktor Frankel, Kazuo Ishiguro---Check out HSCT Publishing at: https://www.hsctpublishing.com/.Check out LeadingKeys at: https://www.leadingkeys.com/Check out Leadership ToolBox at: https://leadershiptoolbox.us/Contact HSCT for more information at 1-833-216-8296 to schedule a full DEMO of LeadingKeys with one of our team members.---Jesan Sorrells Presents - YouTube - https://www.youtube.com/c/JesanSorrells/featuredJesan Sorrells - IG - https://www.instagram.com/therealjesanmsorrells/Jesan Sorrells - FB - https://www.facebook.com/JesanMSorrells/Jesan Sorrells - LinkedIn - https://www.linkedin.com/in/jesansorrellsJesan Sorrells - Twitter - https://www. twitter.com/jesanmsorrellsJesan Sorrells - https://www.jesansorrells.com/

Engines of Our Ingenuity 2901: Cybernetics

engines ingenuity cybernetics norbert wiener thinking machines

Play Episode Listen Later Jan 26, 2022 3:50

Episode: 2901 Norbert Wiener and Cybernetics. Today, let's talk about Norbert Wiener and cybernetics.

Technology Is Nature: Tamiko Thiel

Informer

Play Episode Listen Later Dec 21, 2021 35:44

There are so many fascinating stories to be told about the present and future of technology in the arts, especially in this moment of a profound, digital turn. Tamiko Thiel, a truly singular artist, tells a numbers a number of them. As a very early innovator in the field of VR, along with a side career as product designer which includes creating the visual design of the The Connection Machine, the world's first AI computer and now in the permanent collection of MoMA, her work has been and continues to be groundbreaking. It's motivated by a deep curiosity about what it means for humans to make technology and how we might do so in a way that doesn't sacrifice our planet in the process.Any one component of Tamiko's life and career seems rich enough to launch its own spin-off podcast, with Tamiko right at the center of some unwritten but influential history. Whether it's about her father being the first to patent shipping containers, then shockingly losing the patent, to Steve Jobs in the 80's asking his marketing manager to hire Tamiko after seeing her visual design of the Connection Machine and then being told that it's too late, Tamiko's gone off to Europe to be an artist!

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Brewster Kahle: Libraries' Role, 3 Internet Battles, Licensing Pains, the National Emergency Library, and the Internet Archive's Controlled Digital Lending Efforts vs. the Publishers' Lawsuit

Walled Culture

Play Episode Listen Later Dec 16, 2021 42:20

Brewster Kahle is founder and Digital Librarian of the Internet Archive, one of the largest libraries in the world. Next to his mission to provide universal access to all knowledge, he is a passionate advocate for public Internet access, as well as a successful entrepreneur (Thinking Machines, Wide Area Information Server and Alexa Internet) and a member of the Board of Directors of the Electronic Frontier Foundation (EFF). The Internet Archive, which he founded in 1996, preserves petabytes of data - the books, Web pages, music, television, and software of our cultural heritage, working with hundreds of library and university partners to create a digital library, accessible to all. More than 1 million people use the Internet Archive every day. Most of them seek out the Wayback Machine, making 25+ years of web history accessible. He talks about the role of libraries, the Internet battles we've faced and are facing, licensing pains, the National Emergency Library, and how the Internet Archive's efforts to make culture and knowledge accessible through controlled digital lending are threatened by the publishers' lawsuit against the Archive. Key Takeaways: 00:00 Intro 02:38 Brewster shares a little background on the technologies he developed, what inspired him to develop them, and what is happening with them 04:38 Brewster talks about the Internet Archives and the Wayback Machine and what inspired their developments 07:13 Brewster talks about link rot, what it is, how it impacts Internet Archive and other issues that they have also faced 11:42 Brewster talks about copyright and how they are approaching the controversial issue of copyright as the Internet Archive 16:32 Brewster reflects on how link rot affects the law field 18:52 Brewster shares the problem with industries understanding the concept of a digital library as opposed to a brick and mortar library and the role those libraries have with print materials 21:38 Brewster explains how new users of Internet Archive can easily use it and how the pandemic has affected it 28:37 Brewster talks about the evolution of the Internet, the three key battles it faced and what he learned from it 33:51 Brewster talks about how he would like to see copyright evolve to make knowledge, storage, and sharing easier and more widespread 37:19 Brewster suggests the way forward and why there's still hope to turn the tide 40:26 Brewster expresses his hopes for the next 25 years for the Internet Archive Books Mentioned: https://www.goodreads.com/book/show/7624.Lord_of_the_Flies Harry Potter Shows Mentioned: https://www.alexa.com/ https://archive.org/details/opencontentalliance https://www.internethalloffame.org/ https://www.wsj.com/ http://www.amazon.com/ https://en.wikipedia.org/wiki/Link_rot https://knightfoundation.org/ Guests Social Media Links: Website: https://archive.org/ LinkedIn: https://www.linkedin.com/in/brewster-kahle-2a647652/ Twitter: https://twitter.com/brewster_kahle Facebook: https://www.facebook.com/brewster.kahle

Thoughts on Thinking Machines: Managing Risk in AI with Elham Tabassi

The Buzz with ACT-IAC

Play Episode Listen Later Nov 3, 2021 40:05

The field of Artificial Intelligence has grown in leaps and bounds over the last decade. The rapid development of AI technologies brings with it an equally rapid transformation of our communities, economies, and individual lives.As we integrate more of these AI systems into our world, we will need to consider the challenges and risks they pose to our society. Fortunately, the National Institute for Standards and Technology (NIST) has recently embarked on a project to do just that. NIST is currently developing a framework for assessing and managing the risks of developing and applying AI systems in collaboration with the global AI community.This week on The Buzz, host Colin Larsen is joined by Elham Tabassi, Chief of Staff at NIST's Information Technology Laboratory, to discuss some of the early results of this effort and some big ideas from the project's recent workshop.More about NIST's AI Risk Management Framework: https://www.nist.gov/itl/ai-risk-management-frameworkA summary of RFI responses can be found here.Session recordings from the first workshop: https://www.nist.gov/news-events/events/2021/10/kicking-nist-ai-risk-management-frameworkSubscribe on your favorite podcast platform to never miss an episode! For more from ACT-IAC, follow us on Twitter @ACTIAC or visit http://www.actiac.org.

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History of Science and Technology Q&A for Kids and Others (February 10, 2021)

The Stephen Wolfram Podcast

Play Episode Listen Later Jul 26, 2021 72:46

Stephen Wolfram answers questions from his viewers about the history science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qa Questions include: Any stories about your work for Thinking Machines? - c/c++ have # omp parallel for loop parallelization, but there's nothing quite for distributed variable storage - Have you seen those Combinator Graph reduction Machines? - Have you read "Surely You're Joking, Mr. Feynman!", "What Do Care What Other People Think?" and/or "Tuva or Bust!"? - nowadays every modern computer has a connection machine, in the form of a GPU - f course Stephen knows the person who started the internet archive haha! - Were there applications for the connection machine which used the interconnections? I think e.g. fluid dynamic is easy to implement with the vector computation of GPUs, only local neighbors

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75. Noodles by Day, Artificial Intelligence by Night - A Conversation with Shreya Nallapati

Big Girl Money

Play Episode Listen Later Jul 9, 2021 64:06

Our Big Girl Money episode today features an interview with Shreya Nallapati, the 20-year-old Founder and Executive Director of NeverAgainTech, an organization using AI and machine learning to prevent mass shootings (16:49 - 1:04:05). Shreya has been recognized for her work by Forbes, Smithsonian Institute, and Solomon's Code: Humanity in a World of Thinking Machines. You won't want to miss this one! CW: Brief description of a school shooting and the aftermath occurs from (37:01 - 38:32).

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Stephanie Sy - The Hustle Behind Thinking Machines

Hustleshare

Play Episode Listen Later Mar 14, 2021 85:04

Stephanie Sy of Thinking Machines joins us in this episode to share her hustle in leading the AI revolution in the Philippines by helping the government and companies make better decisions through frameworks and data. Stef will also share her amazing journey starting out in Silicon Valley while studying in Stanford, putting up her own startup, joining a startup that got acquired and eventually joining Google. She will also share why she chose to come back and launch a Machine Learning and Data Science startup in the Philippines and the projects they do that affect the lives of millions of people. This episode brought to you by B21. For show notes, go to hustleshare.com To apply for Ideaspace Batch 2021 click HERE Hustleshare is powered by Podmetrics

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72 The Internet Archive: Providing Universal Access to All Knowledge

Editor and Publisher Reports

Play Episode Listen Later Feb 13, 2021 46:38

There was a lot of industry buzz last month when it was announced that Editor and Publisher Magazine was supplying more than a hundred years of editions digitally for free via a partnership with The Internet Archive, one of the largest libraries in the world. Founded by Brewster Kale, a passionate advocate for public internet access and a successful entrepreneur, Kahle has spent his career intent on a singular focus: providing universal access to all knowledge. Soon after graduating from the Massachusetts Institute of Technology, where he studied artificial intelligence, Kahle helped found Thinking Machines, a parallel supercomputer maker. In 1989, Kahle created the internet's first publishing system called Wide Area Information Server (WAIS), later selling the company to AOL. In 1996, Kahle co-founded Alexa Internet, which helps catalog the web, selling it to Amazon in 1999. The Internet Archive, which he founded in 1996, now preserves 20 petabytes of data—the books, web pages, music, television, and software of our cultural heritage, working with more than 400 library and university partners to create a digital library and making it accessible to all. In 2005, Kale was honored by the American Academy of Arts and Sciences. In 2008, he received the Robert B. Downs Intellectual Freedom Award from the University of Illinois. In 2010, he received his Honorary Doctor of Laws from the University of Alberta, and in 2012, Kale was inducted into the Internet Hall of Fame. In the segment of E&P Reports, publisher Mike Blinder has a lively conversation with Kale who speaks about how he feels about digital privacy, the future of content distribution and compensation, and why the preservation and access to historical content is a matter of paramount importance. Related links: More about Brewster Kale: https://en.wikipedia.org/wiki/Brewster_Kahle The Internet Archive: https://archive.org Editor and Publisher’s 100+ years of Archives: https://www.editorandpublisher.com/archives/

BEHIND THE SCENES of Object Obscura

Object Obscura

Play Episode Listen Later Dec 18, 2020 29:56

This episode we discuss the inner workings behind my podcast Object Obscura. I'll take you on a journey from pre-production to post-production and share some never before heard moments. This was the bonus episode about season 1. All music credits of the episode are: Gears by me, Thatcher Warrick Hess, It's Almost Over by SefChol, Sunset Dream by Cheel, Make You Move by Ofshane, Marxist Arrow by Twin Musicom which is licensed under a Creative Commons Attribution 4.0 license. https://creativecommons.org/licenses/by/4.0/ and see the artist's website: http://www.twinmusicom.org/, Fast and Run by Nico Staf, Alone by Emmit Fenn, Soft KNives by SefChol, Bottle of Something TrackTribe, Metamorphosis by Quincas Moreira, Violet Spirit by Dan Henig, Mizuki by Bad Snacks, Thinking Machines by TrackTribe, St. Louis by Alec Leal, Marionettes by Alec Leal, and Held By You by Zaskia Villa. Thanks to freesound, epidemicsound and YouTube Music Library. Insta: @object.obscura and Facebook: @ObjectObscuraPOdcast Listen, rate and subscribe to Object Obscura on Apple Podcast, Spotify, Google Podcasts, SoundCloud and wherever you get your podcast. Go to our website object-obscura.com to listen to all episodes. --- Send in a voice message: https://anchor.fm/thatcher2/message

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EP 02 - Type Box • Texas • TGI Friday's

Object Obscura

Play Episode Listen Later Oct 16, 2020 31:12

This episode I am investigating the truth behind a British matrix box owned by a Texan typecaster. His notes and address jotted down on the box lead me to a conversation with a great friend of his. This is episode 2 of 5 for season 1 of Object Obscura. Other thanks and credits not mentioned in the episode. Music (in order of appearance): Intro and outro theme music is Gears by Thatcher Warrick Hess, Mystery by ispeakwaves, Alone by Emmit Fenn, Thinking Machines by TrackTribe, Pluckandplay by Kwon, Mechanical Bullride by Chris Haugen, Under Cover by Wayne Jones and Meeka by Steve Adams. Archival audio is: “Monotype - Making Sure - How the Machines are Made” film by the British Monotype Works circa 1955 and “Monotype - Handle with Good Care and Understanding - 1965” from printingfilms.com. Thank you to Epidemic Sound. Listen on Apple Podcasts, Spotify, Google Podcasts and more → object-obscura,com --- Send in a voice message: https://anchor.fm/thatcher2/message

Encore: Thinking Machines | Passing For Human | 5

ai passing thinking machines

Play Episode Listen Later Oct 15, 2020 41:12

Can a computer pass for human? And more importantly, can a computer beat a human at Jeopardy? It’s all fun and games until we start putting life-changing decisions in the hands of machines.Note: This episode originally aired in September 2018. Support us by supporting our sponsors! Masterworks - So if you're ready to invest like a billionaire, head to masterworks.io - and use promo code AI to skip the 25,000 person waitlist.

Encore: Thinking Machines | I Learn, Therefore I Am | 4

ai ninety thinking machines

Play Episode Listen Later Oct 8, 2020 38:09

A leap in the power of machine learning and artificial intelligence causes concern about the dangers ahead. Note: This episode originally aired in September 2018. Support us by supporting our sponsors!Fundrise - Get started at fundrise.com/AI to have your first NINETY days of advisory fees waived.Masterworks - As a listener of our show, you can get special access by going to masterworks.io and using promo code AI to skip the 25,000-person waitlist.

Encore: Thinking Machines | Siri-ous Business | 3

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Play Episode Listen Later Oct 1, 2020 37:04

The development of smartphone Artificial Intelligence from early government research funding and the first experimental robot in Silicon Valley to the rise of the personal assistant known as Siri.Note: This episode originally aired in September 2018. Support us by supporting our sponsors! Policy Genius - Head to policygenius.com and you could save 50% or more by comparing quotes.Peloton - Try out Peloton Bike Plus for yourself with Peloton’s 30 Day Home Trial. If you decide it’s not for you within 30 days, you’ll get free pickup and a full refund. Visit onepeloton.com for more information.

Encore: Thinking Machines | How Do You Make A Computer Blink? | 2

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Play Episode Listen Later Sep 24, 2020 38:22

With six different kinds of pieces, 64 squares to move in, and billions of possible combinations of moves, chess is a good test for a computer. The number of distinct 40-move games is far greater than the number of electrons in the visible universe. For all intents and purposes: almost infinite.Gary Kasparov is the world’s best chess player. Deep Blue is a computer. It’s humanity v machine. There’s a lot at stake and things turn controversial fast with accusations of cheating, a very human meltdown and a computer that hallucinates. Note: This episode originally aired in September 2018. Support us by supporting our sponsors! ZipRecruiter - Try it now for free at ziprecruiter.com/ai.Fundrise - Get started at fundrise.com/AI to have your first NINETY days of advisory fees waived.

Encore: Thinking Machines | Artificial Intelligence | 1

ai artificial intelligence thinking machines

Play Episode Listen Later Sep 17, 2020 40:53

Artificial Intelligence is no longer the stuff of science fiction. And it’s about to get much more powerful: machines that can reason, create, predict the future, even dream. AI is likely to be one of the most transformative technologies of the 21st century.This is the first in our four-episode series about the rise of artificial intelligence and humanity's quest to breathe intellectual life into computers. In this episode, we're going to meet the mavericks who first dreamed of a world where machines are capable of being smarter than the people who created them.And what better way for smart machines and their creators to face off in a battle of wits ... than by playing chess? Note: This episode originally aired in August 2018. Support us by supporting our sponsors!Policy Genius - Head to policygenius.com right now to get started. You could save $1500 or more a year.

Stephanie Sy: How AI Will Save or Destroy the World

Crazy Smart Asia

Play Episode Listen Later Aug 18, 2020 36:12

Depending on your point of view, big data and AI will either save the world or be the end of us. Stephanie Sy's data science consultancy, Thinking Machines, builds machine learning models for organisations including the World Bank and Unicef, using data to tackle the biggest issues facing the planet today. But while Stephanie's company demonstrates how AI can be harnessed to make the world a better place, she's far from blind of the perils of the misuse of data. In her conversation with Gen.T editor Lee Williamson, former Googler Stephanie covers everything from the privacy paradox to fake news. She also shares why she's never accepted VC money and why, despite appearances, 2020 might be the best year to start a company.

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49: Thinking Machines II (Techniques in Artificial Intelligence)

Breaking Math Podcast

Play Episode Listen Later May 26, 2020 57:14 Very Popular

Machines have been used to simplify labor since time immemorial, and simplify thought in the last few hundred years. We are at a point now where we have the electronic computer to aid us in our endeavor, which allows us to build hypothetical thinking machines by simply writing their blueprints — namely, the code that represents their function — in a general way that can be easily reproduced by others. This has given rise to an astonishing array of techniques used to process data, and in recent years, much focus has been given to methods that are used to answer questions where the question or answer is not always black and white. So what is machine learning? What problems can it be used to solve? And what strategies are used in developing novel approaches to machine learning problems? This episode is distributed under a CC BY-SA 4.0 license. For more information, visit CreativeCommons.org. For more Breaking Math info, visit BreakingMathPodcast.app [Featuring: Sofía Baca, Gabriel Hesch] References: https://spectrum.ieee.org/tag/history+of+natural+language+processing --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app Support this podcast: https://anchor.fm/breakingmathpodcast/support

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48: Thinking Machines (Artificial Intelligence)

Breaking Math Podcast

Play Episode Listen Later May 17, 2020 59:17 Very Popular

Machines, during the lifetime of anyone who is listening to this, have advanced and revolutionized the way that we live our lives. Many listening to this, for example, have lived through the rise of smart phones, 3d printing, massive advancements in lithium ion batteries, the Internet, robotics, and some have even lived through the introduction of cable TV, color television, and computers as an appliance. All advances in machinery, however, since the beginning of time have one thing in common: they make what we want to do easier. One of the great tragedies of being imperfect entities, however, is that we make mistakes. Sometimes those mistakes can lead to war, famine, blood feuds, miscalculation, the punishment of the innocent, and other terrible things. It has, thus, been the goal of many, for a very long time, to come up with a system for not making these mistakes in the first place: a thinking machine, which would help eliminate bias in situations. Such a fantastic machine is looking like it's becoming closer and closer to reality, especially with the advancements in artificial intelligence. But what are the origins of this fantasy? What attempts have people made over time to encapsulate reason? And what is ultimately possible with the automated manipulation of meaning? All of this and more on this episode of Breaking Math. Episode 48: Thinking Machines References: * https://publicdomainreview.org/essay/let-us-calculate-leibniz-llull-and-the-computational-imagination * https://ourworldindata.org/coronavirus-source-data This episode is distributed under a CC BY-SA 4.0 license. For more information, visit CreativeCommons.org. [Featuring: Sofía Baca, Gabriel Hesch] --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app Support this podcast: https://anchor.fm/breakingmathpodcast/support

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Engines of Our Ingenuity 3047: Thinking Machines

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Play Episode Listen Later May 5, 2020 3:52

Episode: 3047 How to Think About Machines that Think. Today, thinking machines.

The Unreasonable Perplexity of Fat Tails

AI with AI

Play Episode Listen Later Feb 14, 2020 34:10

Andy and Dave discuss an announcement from Exscientia and Sumitomo that they have the first entirely-AI developed drug that is now entering clinical trials. The Director of the Joint Artificial Intelligence Center, Lt. Gen. Jack Shanahan has announced his retirement. Senator Michael Bennet sends a scathing letter to the U.S. Chief Technology Officer on its recent AI Principles for regulation. DARPA’s Habitus program seeks to automate the process of revealing and using local information, to enhance stability operations in under-governed regions. And Washington state legislature has at least one facial recognition bill under consideration. Google Research announces its Meena chatbot, which claims is more Sensible and Specific (a new metric that it developed) than the award-winning Mitsuku, though requiring 30 days to compile on 2,048 tensor processing units. Researchers at the Max-Planck Institute for Intelligent Systems and the University of Florence announce a method for fusing deep learning with combinatorics solvers to create a neural network for combinatorial problems. RAND releases a report on Deterrence in the Age of Thinking Machines. Sejnowski pens thoughts on “the unreasonable effectiveness of deep learning in AI.” Taleb takes a detailed look at the statistical consequences of fat tail distributions. Maj. Gen. Mick Ryan pens the final (?) part in his trilogy, AugoStrat Awakenings. Fortune publishes a special magazine on the topic of AI. And Andrew Ng and Geoffrey Hinton sit down for a 40-minute chat on deep learning.

How Your Data Powers Artificial Intelligence

Aspen Ideas to Go

Play Episode Listen Later Dec 4, 2019 54:58

Artificial intelligence isn’t something we’ll see in the future. Thinking machines are already here, and nine powerful companies in the US and China control their development. The spam filter in your email inbox is AI. So are programs like Google Translate. The next level for thinking machines is when they begin learning the way humans learn. As artificial intelligence gets refined, who’s keeping track of whether these machines share our motivations, desires, and hopes for the future of humanity? Amy Webb, author of The Big Nine: How the Tech Titans and Their Thinking Machines Could Warp Humanity, speaks with Alexis Madrigal, a staff writer for The Atlantic who covers Silicon Valley. The views and opinions of the podcast guests are their own and do not necessarily reflect those of the Aspen Institute.

'on curating [for/against] the institution''

Kamukunji

Play Episode Listen Later Sep 25, 2019 29:37

In this episode Patti Anahory speaks with Sean Anderson about the complex relationship between the curator and the institution. They discuss curating as (potentially) a critical and political practice, one that could feed on or confront the inherited (exclusionary) legacies of institutions. Sean Anderson is Associate Curator in the Department of Architecture and Design at The Museum of Modern Art. A Fellow of the American Academy in Rome and the Scuola Normale Superiore di Pisa, he has degrees in architectural design and architectural history from Cornell University, an M. Arch from Princeton University and a Ph.D in art history from the University of California, Los Angeles. He has practiced as an architect and taught in Afghanistan, Australia, India, Italy, Morocco, Sri Lanka and the U.A.E. His book, Modern Architecture and its Representation in Colonial Eritrea, was published in 2015 and was nominated for the AIFC Bridge Book Award for Non-Fiction. At MoMA, he manages the Young Architects Program and has organized the exhibitions Thinking Machines. Art and Design in the Computer Age, 1959-1989 (2018), Insecurities: Tracing Displacement and Shelter (2016), and is currently working on two exhibitions for 2020-21: the first will observe aspects of spatial justice in the American city and the second, South Asian post-independence modern architecture. Sean mentioned: MoMA https://www.moma.org/ Insecurities: Tracing Displacement and Shelter https://www.moma.org/calendar/exhibitions/1653 Patti mentioned: Fred Wilson - Mining the Museum project https://www.youtube.com/watch?v=iSKTbwYVM6g https://www.jstor.org/stable/25007622?seq=1#page_scan_tab_contents ***Episode image created from an institution-icon from: Icon made from Icon Fonts is licensed by CC BY 3.0

Can Artificial Intelligence Make Us Smarter?

Tell Me More

Play Episode Listen Later Jun 12, 2019 21:47

Artificial intelligence has the potential to enrich our lives. But it can also drive people apart and cause tremendous harm. Olaf Groth, a professor at Hult International Business School and CEO of the Cambrian Group, explores how this technology is reshaping societies in his new book, "Solomon's Code: Humanity in a World of Thinking Machines." He co-authored the volume with Mark Nitzberg. In this episode, Groth, an alumnus of Tufts’ Fletcher School of Law and Diplomacy, talks about artificial intelligence — both its promise and its perils.

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Amy Webb on "The Big Nine: How The Tech Titans and Their Thinking Machines Could Warp Humanity "

Free To Bmore Podcast

Play Episode Listen Later May 21, 2019 40:33

This episode of the Free To Bmore Podcast features renowned futurist, author, and founder and CEO of the Future Today Institute, Amy Webb. Her new book, The Big Nine: How The Tech Titans and Their Thinking Machines Could Warp Humanity, explores the challenges our civilization faces in the age of artificial intelligence.

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Ep.155 Ch.01 "Apate's Shadow"

The Steam Rollers Adventure Podcast

Play Episode Listen Later Feb 12, 2019 50:06

Season 3 kicks off with a bang! And a boom! And a datdatdatdat zing budash! ...As the Great War begins! The Thinking Machines, ADAM and EVE, have closed down. They're not dictating actions to the populace anymore, so a war like no other rips through America. Our first story follows a witch from the Witch Arsenal Corps named Apate. She's just doing her job...until she hears the voice. See all our show credits and info at www.riggstories.com/the-srap-cast Patron Sponsor This Week: Jared Smith Sponsored Partnership: Jack Monkey Games at www.jackmonkeygames.com SRAP Voice Actors: Josh Bisquera as Imperial Soldiers – m.twitch.tv/biscuits501st/profile Trish as Imperial Soldiers – Glitter Gets Everywhere podcast Musical Score for This Episode: “Ever Mindful,” “Evil March,” and “Long Note One” by Kevin MacLeod (www.incompetech.com), Licensed under Creative Commons: By Attribution 3.0 License. http://creativecommons.org/licenses/by/3.0/

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Folge 16: Chance und Gefahr von Künstlicher Intelligenz: Hallo, Olaf Groth

Kristina, Kati, Kalifornia

Play Episode Listen Later Jan 29, 2019 36:49

Dr. Olaf Groth ist Professor für Globale Strategie, Innovation und Ökonomie und Programm-Direktor für Digitale Zukunft an der HULT International Business School in San Francisco. Er ist Managing Partner von Cambrian.ai, einer Denk- und Design-Schmiede für Mensch-Maschine Symbiose in der 4. Industrielle Revolution und der Gesellschaft 5.0. Olaf ist Gastwissenschaftler am UC Berkeley Roundtable für die Internationale Wirtschaft und Mitglied im Globalen Expertennetzwerk des Weltwirtschaftsforums. Er sitzt in Beratergremien von Startups und multinationalen Unternehmen. Vorher war er Manager bei globalen Technologie-Unternehmen wie Vodafone, Qualcomm und Boeing, sowie bei der Beratungsfirma Monitor. Gemeinsam mit seinem Ko-Autor Dr. Mark Nitzberg hat er kürzlich das Buch “Solomon's Code: Humanity in a World of Thinking Machines” veröffentlicht. Olaf hat am Middlebury Institute of International Studies in Monterey seinen Master gemacht, an der Fletcher School der Tufts Universität in Boston seinen Ph.D., und hat außerdem an den Harvard, Berkeley und Georgetown Universitäten studiert. Er kommt ursprünglich aus Nettetal am Niederrhein und lebt seit 27 Jahren in den USA und in Flugzeugen, da sein Herz seit jeher für globale Themen schlägt. Wir haben mit ihm über Chancen und Risiken der Künstlichen Intelligenz und das Brückenbauen über den Atlantik und zwischen den amerikanischen Küsten gesprochen.

Olaf Groth and Fei-Fei Li: A Force for Good or Evil? Artificial Intelligence and Human-Centered Design

WorldAffairs

Play Episode Listen Later Jan 22, 2019 59:01

Artificial intelligence (AI) brings boundless possibilities. It can now drive our cars, diagnose our diseases, and even help us tackle climate change. But AI can also divide societies and drive nations to conflict. As we cede more of our fundamental decisions to machines, how do we ensure AI is designed with our best interests in mind? Fei-Fei Li, Co-director of the Stanford Human-Centered AI Institute and co-founder of the non-profit AI4ALL, and Olaf Groth, founder of Cambrian AI and co-author of the new book, Solomon’s Code: Humanity in a World of Thinking Machines, discuss how our relationship with AI is central to the future of humanity with WorldAffairs Co-host Ray Suarez. We want to hear from you! Please take part in a quick survey to tell us how we can improve our podcast: https://www.surveymonkey.com/r/PWZ7KMW

Living in a World of Thinking Machines

KGNU - How On Earth

Play Episode Listen Later Oct 30, 2018 24:28

It has been 50 years since the original 2001, A Space Odyssey, where movie viewers first heard Captain Powers asking, "Open the pod bay doors, HAL" and found HAL thought differently about whether that was a good idea. For most of that half-century, artificial intelligence still seemed a long way off, but in the last decode, it has permeated our every day life with unexpected swiftness and thoroughness. Do we currently live in a world of thinking machines? Is it just around the corner? Far off? Never? And what will that really be like for us humans (I'll assume for the moment your not a machine reading this...) This is the subject of Solomon's Code: Humanity in a World of Thinking Machines by Olaf Groth and Mark Nitzberg. With the recent backlash against Facebook, fake news algorithms or headlines about Cambridge Analytica and Russian bots, this book's release on November 6 could not be more well timed. The book covers economic, social, personal and political implications of living in a world of thinking machines. For this edition of How On Earth, we spoke with co-author Mark Nitzberg, Executive Director of the Center for Human compatible Artificial Intelligence at UC Berkeley and principal at Cambrian.ai. Dr. Nitzberg studied AI at M.I.T. and completed his PhD at Harvard university. His co-author Olaf Groth is Professor of Strategy, Innovation and Economics at Hult International business School, and founder and CEO of Cambrian.ai. The name Cambrian.ai is taken from a metaphor from biological evolution and the Cambrian Geological Period, where most of the major groups of animals first appeared in the fossil record; an event sometimes also known as the "Cambrian Explosion." Are we now at a similar point in the evolution of artificial intelligence? Is the metaphor fanciful or very accurate. Chip Grandits talks with Mark Nitzberg co-author of Solomon's Code to find out what are the forms of AI, if they are different from their progenitors, and whether they really can think. Host: Chip Grandits Producer: Chip Grandits Engineer: Chip Grandits Executive Producer: Susan Moran Listen to the show...

Product Strategy: Solomon's Code: Humanity in a World of Thinking Machines

Value Inspiration Podcast

Play Episode Listen Later Oct 30, 2018 31:14

This focus of this weeks´ podcast is product strategy, and in particular what we can do to not only make jobs more productive, but also more enjoyable. I discuss this with my guest Olaf Groth. He’s is a professor, adviser and executive for the evolving global innovation economy with 20 years of experience in corporations, consulting firms and academia. He has helped build new ventures and change management initiatives for employers and clients in energy, technology, telecommunications, aerospace and transportation sectors in 30+ countries.The topic of his book triggered me, hence I invited Olaf to my podcast. Here are some of his quotes:“We believe that AI is here to stay, and that we as human beings, and certainly we, as business decision makers need to get used to what we call symbiotic intelligence. So symbiotic intelligence between humans and machines.We have an opportunity here to shape these jobs such that they are not more not just more productive, but also much more enjoyableWe should get engaged and shape it and not over regulate too early, but rather say: in a perfect world, what would that world look like? And what do we need to do to get there.What the work is that is being done, where the value is being added, and then try to understand where humans and machines could collaborate much more elegantly, and in a much more integrated fashion.We will find out as humans, that there is so much more fun to be had, once we get used to this transition, right? The real fun is when we, as humans, see images of what we want evolving, emerging from the current picture.”By listening to this interview, you will learn three things:Why a design goal for solution should not just be increased productivity, but more importantly how it shapes a more enjoyable work experience.That to create the solutions of the future you should anticipate the job profiles of the futureWhy choosing augmentation over automation will give you golden opportunities to deliver not only unique value for your customers, but also the highest adoption rates. See acast.com/privacy for privacy and opt-out information.

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Thinking Machines | Garry Kasparov | 6

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Play Episode Listen Later Oct 4, 2018 48:32

An interview with the Grandmaster himself: Garry Kasparov. In 1985, he earned international fame when he became the youngest world chess champion at just 22-years-old. He went on to defend his title for more than a decade. But it’s his 6-game match against IBM’s supercomputer “Deep Blue” in 1997 that will be remembered as a defining moment in the history of chess -- and artificial intelligence.American Innovations is presented by ZipRecruiter.Try it for free at ZipRecruiter.com/AIOther sponsors include:Wix - Launch a professional-looking website in no time for your innovative ideas with total design freedom, industry-leading SEO, and advanced code capabilities at Wix.comSimplisafe- Protect your home and family today by visiting Simplisafe.com/innovations

Thinking Machines | Passing For Human | 5

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Play Episode Listen Later Sep 27, 2018 45:33

Can a computer pass for human? And more importantly, can a computer beat a human at Jeopardy? It’s all fun and games until we start putting life-changing decisions in the hands of machines.Written by Steven JohnsonAmerican Innovations is presented by ZipRecruiter.Try it for free at ZipRecruiter.com/AIOther sponsors include:Wix - Launch a professional-looking website in no time for your innovative ideas with total design freedom, industry-leading SEO, and advanced code capabilities at Wix.comSunbasket - Get $35 off your first order at sunbasket.com/AI

Thinking Machines | I Learn Therefore I Am | 4

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Play Episode Listen Later Sep 20, 2018 40:56

A leap in the power of machine learning and artificial intelligence causes concern about the dangers ahead. Written by Tom SimoniteAmerican Innovations is presented by ZipRecruiter.Try it for free at ZipRecruiter.com/AIOther sponsors include:Wix - Launch a professional-looking website in no time for your innovative ideas with total design freedom, industry-leading SEO, and advanced code capabilities at Wix.comSunbasket - Get $35 off your first order at sunbasket.com/AI

Thinking Machines | Siri-ous Business | 3

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Play Episode Listen Later Sep 13, 2018 39:20

The development of smartphone Artificial Intelligence from early government research funding and the first experimental robot in Silicon Valley to the rise of the personal assistant known as Siri.American Innovations is presented by ZipRecruiter.Try it for free at ZipRecruiter.com/AIOther sponsors include:Wix - Launch a professional-looking website in no time for your innovative ideas with total design freedom, industry-leading SEO, and advanced code capabilities at Wix.com

Thinking Machines| How Do You Make a Computer Blink | 2

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Play Episode Listen Later Sep 6, 2018 40:15

With six different kinds of pieces, 64 squares to move in, and billions of possible combinations of moves, chess is a good test for a computer. The number of distinct 40-move games is far greater than the number of electrons in the visible universe. For all intents and purposes: almost infinite.Gary Kasparov is the world’s best chess player. Deep Blue is a computer. It’s humanity v machine. There’s a lot at stake and things turn controversial fast with accusations of cheating, a very human meltdown and a computer that hallucinates.American Innovations is presented by ZipRecruiter.Try it for free at ZipRecruiter.com/AIOther sponsors include:Wix - Launch a professional-looking website in no time for your innovative ideas with total design freedom, industry-leading SEO, and advanced code capabilities at Wix.com

Thinking Machines| Artificial Intelligence | 1