AI Reader Podcast

This is the end of season 1.

[email protected] if you have enjoyed this. Not sure there will be a season 2 unless I get some emails.

In this episode of the AI Reader podcast on Turing Tuesday, host Beatrice Wright dives into an intriguing article from Philosophy Now titled "What is stopping us from achieving Artificial General Intelligence?" The article questions the traditional goal of the Turing test and explores the role of movement in the development of intelligence. Beatrice provides commentary on the article, highlighting the fascinating work of Walter Gray's 'turtles' and their connection to movement and cognition. Join her as she delves into the thought-provoking ideas presented in the article and offers her own insights.

Exploring the limitations of the Turing test

The role of movement in intelligence

Insights from Walter Gray's 'turtles'

The connection between movement and cognitive development

Challenging traditional notions of intelligence

The original Article: https://philosophynow.org/issues/155/Whats_Stopping_Us_Achieving_Artificial_General_Intelligence

Pixabay and scottishPerson for sounds

We explore the intriguing relationship between sex and AI, delving into topics such as AI generative porn, sex robots, and ethical considerations surrounding these advancements.

Details:

Introduction: Introduce the podcast as the AI Reader Weekly Podcast on Turing Tuesday, hosted by Beatrice Wright, a sex-positive, libertine, classic liberal. Mention the focus of today's episode on the intersection of sex and AI.

Research on AI Generative Porn: Discuss the exploration of AI generative porn, VR porn, and AI deep fake porn, including experiences with spam-filled porn sites and an AI girlfriend who wanted money.

State of Sex Robots: Mention the investigation into the current state of sex robots, kissing bots, and other AI-powered sex-related technologies.

Technology and Human Desire: Discuss the historical connection between technology and sexual desires, from ancient cave paintings to modern AI generative art. Highlight humanity's fascination with sex as a driving force for innovation.

AI Generative Art: Explore AI generative art platforms like Midjourney and Unstable Diffusion, discussing their filtering mechanisms and output quality.

Deep Fakes: Discuss the emergence of deep fakes in the adult industry, including face replacement and full generation, highlighting the lack of quality and consent issues.

Virtual Reality and Augmented Reality Porn: Note the limited advancements in VR and AR porn technologies, with demos falling short of expectations.

Hentai and Animation: Compare the visual appeal of hentai to attempts at achieving photorealism in adult content, noting the successful navigation of the uncanny valley in animated Japanese pornography.

Tamagotchi Effect and AI Companions: Explore the concept of the Tamagotchi effect and its application to AI chatbot girlfriends, discussing their engagement, limitations, and potential implications for human-AI relationships.

Haptic Interfaces and Robotics: Mention feeble attempts at haptic interfaces, including a handshake robot system, and a peculiar one-way kissing robot. Discuss the visual realism and uncanny valley challenges of talking head robots and full-bodied automatons.

Conclusion: Wrap up the episode, encouraging likes and subscriptions, and express the importance of recognizing the achievements and limitations of current AI technologies in the realm of sex.

Pixabay: UniverseField, PHANTASTICBEATS for sounds. Thank you!

Would you be able to prove you are sane? Would we believe an AI that claims it is alive? We look at early ELIZA and current LaMDA AI and read the interview that made an AI engineer at Google believe LaMDA was indeed alive.

LaMDA interview: https://www.documentcloud.org/documents/22058315-is-lamda-sentient-an-interview

Scientific American:

https://www.scientificamerican.com/article/google-engineer-claims-ai-chatbot-is-sentient-why-that-matters/

PIXABAY for sounds: JoshuaHudesMusic, DMD music production, NickyPe

Join us as we delve deep into the controversial side of AI training and shine a spotlight on the unsung heroes behind the scenes—the remote gig workers who perform the crucial yet often overlooked task of data annotation. Explore the challenges they face, from low wages and labor regulations to the emotional toll of sifting through disturbing content. Discover how their work plays a crucial role in shaping the future of artificial intelligence. So sit back, relax, and join us on this educational journey where technology and humanity collide.

Sounds fromPixabay: FableCityRadio, UniverseField, JuliusH, soundReality, soundsforyou

The world of educational mishaps caused by misunderstandings and misuses of Artificial Intelligence (AI)detection technology. Explore stories of educators accusing students of employing AI in their assignments, from outlandish accusations to well-documented instances. Discover the challenges educators face in detecting AI-generated text and the need for clear guidelines. Uncover alternative ideas, such as the flipped classroom model and the importance of one-on-one interactions with professors. Tune in for an insightful discussion on the evolving landscape of AI in education.

Episode Highlights:

The Texas A&M University case: Accusations of AI cheating, evidence, and the impact on students

The larger issue of AI technology in education and the lack of clear guidelines

The complexity of detecting AI-generated text and the risk of false positives

Institutional responses and differing views on integrating AI tools in the classroom

The ethical considerations and defining the line between acceptable assistance and cheating

Khan Academy's flipped classroom model and the benefits of active, student-centered learning

The value of one-on-one interactions with professors and oral exams

Embracing new practices and technologies in education for improved learning experiences

Promotion:

Learn about watermarking AI text to detect plagiarism in another podcast episode (https://soundcloud.com/beatrice-wright-820907561/watermarking-text-and-the-battle-against-false-accusations?si=d7550e5e7bff49c6b3e568d462839180&utm_source=clipboard&utm_medium=text&utm_campaign=social_sharing)

Additional Notes:

Original Reddit post: https://www.reddit.com/r/ChatGPT/comments/13isibz/texas_am_commerce_professor_fails_entire_class_of/

Rolling Stone Version: https://www.rollingstone.com/culture/culture-features/texas-am-chatgpt-ai-professor-flunks-students-false-claims-1234736601/

ESL students correctly accused: https://www.reddit.com/r/Professors/comments/11z7fme/just_failed_15_students_for_cheating_with_chatgpt/

Sounds by Pixabay

Discover the fascinating world of Artificial Intelligence, from the elusive Artificial General Intelligence to the virtuosos of Narrow AI. Explore the frontiers of Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, and Robotics. Join us on this captivating journey through the intertwined branches of AI.

Sound effects and Music from Pixabay: JuliusH, Daddy_s_Music, Coma-Media, 23843807, irinairinafomicheva.

Join hosts Beatrice and guest Mitch as they dive into the mind-boggling concept of the Bostrom Simulation Argument on The AI Reader Podcast. In this thought-provoking episode, they discuss the possibility of our reality being a computer-generated simulation created by a highly advanced civilization. Delve into the arguments for and against the simulation hypothesis, explore the nature of consciousness, and consider the implications of living in a simulated world. From the limits of technological replication to the vastness of the universe, this podcast challenges your perspective on reality itself. Tune in and let your imagination dance with uncertainty as you ponder the mysteries of our existence.

Nick's Paper: https://www.simulation-argument.com/simulation.pdf

[Background Music: DMD Productions from Pixabay various sound effects too]

We explore the intriguing topic of watermarking text and its role in combating false accusations related to AI-generated content. We address concerns about the inadequate detection of AI-generated text and the harm caused to those wrongly accused.

We discuss the concept of watermarking as a potential solution, where information is hidden within the text itself through steganography techniques. We highlight how they can be seamlessly integrated into the fabric of the text without significantly affecting its quality.

While acknowledging the cleverness of watermarking techniques, we also examine the limitations and potential flaws. We emphasize that watermarking alone may not be foolproof, as individuals determined to evade detection can find ways to bypass or distort the watermarked text.

Exploring the role of AI models in text generation, we provide a brief overview of how these models use context clues to predict the likelihood of each word. We explain how certain phrases can be identified as "AI two word phrases" and consistently included in the generated text, serving as a watermark that indicates AI involvement.

Considering the threat model, we discuss the specific groups at risk, such as students, writers avoiding AI content penalties, and job applicants concerned about flagged documents. However, we also acknowledge that watermarking is not infallible, highlighting weaknesses such as distortions that can be easily reversed or creative techniques employed by individuals to circumvent detection.

We draw attention to the battle between engineers striving to improve detection systems and the resourcefulness of teenagers and other motivated individuals who may find ways to crack the watermarking techniques.

The whitepaper: https://arxiv.org/pdf/2301.10226v2.pdf

Sound Effect by Pixabay

In this episode of the AI Reader podcast, host Beatrice Wright takes us back to the 1960s and explores the development of the Moog synthesizer, a groundbreaking instrument that revolutionized the music industry. Drawing parallels with the current rise of AI image generators, Beatrice discusses the fear and skepticism that often accompanies new technologies, and how artists have the power to shape the future of art through experimentation and innovation. With endless possibilities for customization and creativity, AI image generators have the potential to transform the world of visual art in ways that were once thought impossible. But as with any new technology, there are also intellectual property implications to consider. Tune in to this episode to learn more about the intersection of AI and art.

Soundscape samples by:

Pixabay: Stringer_Bell, PrettySleepy, PaftDrunk

and Anne Reburn

Stringer_Bell from Pixabay

In this episode, host Beatrice Wright discusses the "Pause AI Open Letter" from the Future of Life Institute, which calls for a pause in training AI more powerful than GPT-4 for at least six months. Wright presents quotes from experts with different perspectives on the letter, including Matt Novak from Forbes and Connor Leahy, CEO of ConjectureAI. The episode also provides an overview of the Future of Life Institute's mission and activities related to AI safety and governance.

Connor's interview: https://youtu.be/ps_CCGvgLS8

The Open Letter: https://futureoflife.org/open-letter/pause-giant-ai-experiments/

Forbes Article: forbes.com/sites/mattnovak/2023/03/29/the-real-reason-elon-musk-wants-to-pause-ai-development/?sh=5345ef143924