Podcasts about Intelligibility

Today GoogleDeepMind released AlphaEvolve: a Gemini coding agent for algorithm discovery. It beat the famous Strassen algorithm for matrix multiplication set 56 years ago. Google has been killing it recently. We had early access to the paper and interviewed the researchers behind the work.AlphaEvolve: A Gemini-powered coding agent for designing advanced algorithmshttps://deepmind.google/discover/blog/alphaevolve-a-gemini-powered-coding-agent-for-designing-advanced-algorithms/Authors: Alexander Novikov*, Ngân Vũ*, Marvin Eisenberger*, Emilien Dupont*, Po-Sen Huang*, Adam Zsolt Wagner*, Sergey Shirobokov*, Borislav Kozlovskii*, Francisco J. R. Ruiz, Abbas Mehrabian, M. Pawan Kumar, Abigail See, Swarat Chaudhuri, George Holland, Alex Davies, Sebastian Nowozin, Pushmeet Kohli, Matej Balog*(* indicates equal contribution or special designation, if defined elsewhere)SPONSOR MESSAGES:***Tufa AI Labs is a brand new research lab in Zurich started by Benjamin Crouzier focussed on o-series style reasoning and AGI. They are hiring a Chief Engineer and ML engineers. Events in Zurich. Goto https://tufalabs.ai/***AlphaEvolve works like a very smart, tireless programmer. It uses powerful AI language models (like Gemini) to generate ideas for computer code. Then, it uses an "evolutionary" process – like survival of the fittest for programs. It tries out many different program ideas, automatically tests how well they solve a problem, and then uses the best ones to inspire new, even better programs.Beyond this mathematical breakthrough, AlphaEvolve has already been used to improve real-world systems at Google, such as making their massive data centers run more efficiently and even speeding up the training of the AI models that power AlphaEvolve itself. The discussion also covers how humans work with AlphaEvolve, the challenges of making AI discover things, and the exciting future of AI helping scientists make new discoveries.In short, AlphaEvolve is a powerful new AI tool that can invent new algorithms and solve complex problems, showing how AI can be a creative partner in science and engineering.Guests:Matej Balog: https://x.com/matejbalogAlexander Novikov: https://x.com/SashaVNovikovREFS:MAP Elites [Jean-Baptiste Mouret, Jeff Clune]https://arxiv.org/abs/1504.04909FunSearch [Bernardino Romera-Paredes, Mohammadamin Barekatain, Alexander Novikov, Matej Balog, M. Pawan Kumar, Emilien Dupont, Francisco J. R. Ruiz, Jordan S. Ellenberg, Pengming Wang, Omar Fawzi, Pushmeet Kohli & Alhussein Fawzi]https://www.nature.com/articles/s41586-023-06924-6TOC:[00:00:00] Introduction: Alpha Evolve's Breakthroughs, DeepMind's Lineage, and Real-World Impact[00:12:06] Introducing AlphaEvolve: Concept, Evolutionary Algorithms, and Architecture[00:16:56] Search Challenges: The Halting Problem and Enabling Creative Leaps[00:23:20] Knowledge Augmentation: Self-Generated Data, Meta-Prompting, and Library Learning[00:29:08] Matrix Multiplication Breakthrough: From Strassen to AlphaEvolve's 48 Multiplications[00:39:11] Problem Representation: Direct Solutions, Constructors, and Search Algorithms[00:46:06] Developer Reflections: Surprising Outcomes and Superiority over Simple LLM Sampling[00:51:42] Algorithmic Improvement: Hill Climbing, Program Synthesis, and Intelligibility[01:00:24] Real-World Application: Complex Evaluations and Robotics[01:05:39] Role of LLMs & Future: Advanced Models, Recursive Self-Improvement, and Human-AI Collaboration[01:11:22] Resource Considerations: Compute Costs of AlphaEvolveThis is a trial of posting videos on Spotify, thoughts? Email me or chat in our Discord

In this episode of Trends with Benefits, Jan Liphardt, founder of OpenMind and Stanford professor, joins to discuss how open-source robotics and crypto governance are shaping machine intelligence. Jan explains why AI shifted focus away from crypto—and why that's reversing. He reveals that his robots download behavioral guardrails from Ethereum, using blockchain immutability for machine ethics. We explore AI's role in healthcare, privacy tradeoffs, and why crypto rails are built more for machines than humans. With robots helping the elderly and blockchains coordinating machine teams, Jan makes the case for open, verifiable AI infrastructure governed on-chain.Secure your Business & Digital Life with Cyber Strategy Institute https://www.thegrowmeco.com/course/https://cyberstrategyinstitute.com/warden/ https://csi-store.samcart.com/products/wardenguard-personal-1device-annual/?coupon=DCN_Warden WHERE TO FIND DCNDailyCryptoNews.Net https://twitter.com/DCNDailyCrypto Trader Cobb X: @TraderCobb https://www.thegrowmeco.com/Editing Services https://www.contentbuck.com——————————————————————***NOT FINANCIAL, LEGAL, OR TAX ADVICE! JUST OPINION! I AM NOT AN EXPERT! I DO NOT GUARANTEE A PARTICULAR OUTCOME I HAVE NO INSIDE KNOWLEDGE! YOU NEED TO DO YOUR OWN RESEARCH AND MAKE YOUR OWN DECISIONS! THIS IS JUST EDUCATION & ENTERTAINMENT! ©Copyright 2024 Matthew Aaron Podcasts LLC Hosted on Acast. See acast.com/privacy for more information.

For many of us, belief isn't always easy. Life throws curveballs. Promises don't pan out the way we thought they would. Secularism raises doubts in our minds. It's hard to reconcile the joy we sing about this time of year with the struggles we face in our day-to-day lives. But belief doesn't always start with clarity. Sometimes, it starts in the messiness of life, when everything feels out of alignment. That's where Christ finds us. That's the story of Christmas. And that's where this episode begins—by looking at faith not as a perfect, clean answer, but as a journey. A journey that's deeply personal, sometimes hard, but always transformative. Today, I'm sitting down with Dr. Tom Neal, to discuss the origin story of his faith life. Tom is a brilliant mind, a loving soul, someone who has dedicated his life to teaching the gospel, but like all of us, has had a journey. Tom's story—from questioning faith to experiencing a profound, life-changing encounter with Christ—reminds us that joy and belief can exist, even in the hardest moments. This is a vulnerable and candid episode about how we encounter Christ and why we still believe amidst hardship. So, sit back and let this story unfold. Because as we reflect on this Advent season, this isn't just about belief in theory—it's about what happens when belief meets real life. As always, please leave questions in the comments.   Full quote from Fr Carlo Carretto: https://nealobstat.wordpress.com/2021/08/19/the-church-broken-so-the-light-can-enter-in/ Chapters 00:00:00 Introduction 00:06:08 Tom's Upbringing and Family Life 00:15:53 Tom's Miraculous Encounter with Christ 00:22:03 The Aftermath and a Newfound Faith 00:31:07 Choosing Catholicism 00:38:51 Exploring Other Religions Through a Catholic Lens 00:49:45 Maintaining Belief Amidst Hardship 00:54:05 The Importance of Prayer 00:57:56 Am I a Bad Catholic? 01:02:04 Mario's Journey of Faith 01:13:05 The Intelligibility of the Catholic Faith 01:22:57 Tertullian's Paradox 01:27:33 Fr Carlo Carretto Quote on the Mystery of the Catholic Church   Not sure how to start a conversation with a someone you find attractive? Download my free Dating Toolkit at www.drmariosacasa.com/dating-toolkit   See the links below to offer financial assistance: Diocese of Charlotte Catholic Charities Hurricane Helen Donations Page: https://giving.classy.org/campaign/624511/donate   Diocese of St. Petersburg Hurricane Relief Fund: https://www.givecentral.org/appeals-form-registration/acp5f44220f014e0/user/guest   To catch up on previous audio-only episodes click on the links below: Apple Podcasts: https://podcasts.apple.com/us/podcast/always-hope/id1437447070 Spotify: https://open.spotify.com/show/1EfQGHAQLHkQcmHeWjlCJF?si=6e6199090a0b4f0c   Follow me on the socials: Instagram: http://www.instagram.com/drmariosacasa Facebook: www.facebook.com/drmariosacasa   Full Courses: Dating Well: www.drmariosacasa/datingwell Overcoming Stress and Anxiety: www.goodcatholic.com/product/overcoming-stress-and-anxiety/   The content of Always Hope is for purely educational reasons and is not meant as a substitute for proper diagnosis and/or professional counseling. If you need psychological or counseling services, please contact a trusted therapist for assistance.

Parkinson's disease significantly impacts various aspects of communication, and this can make it challenging for people with the disease to communicate effectively, be understood by others, and engage in social situations. Dr. Gemma Moya-Galé joins this episode to talk about her work on voice and communication in people with Parkinson's disease. In particular, she discusses a novel app she and her team are developing, with funding from The Michael J. Fox Foundation, to help people with Parkinson's improve how well their speech is understood. The app uses evidence-based principles from speech therapy and noise-augmented automatic speech recognition to provide speech training and feedback. She also shares her recent research on linguistically and culturally responsive methods for addressing communication challenges in both English- and Spanish-speaking individuals with Parkinson's disease, and how this approach has the potential to improve clinical care. Gemma is an Assistant Professor of Communication Sciences and Disorders, as well as the Director of the Communication, Technology, and Language Diversity Lab at Teachers College, Columbia University.This podcast is geared toward researchers and clinicians. If you live with Parkinson's or have a friend or family member with PD, listen to The Michael J. Fox Foundation Parkinson's Podcast at michaeljfox.org/podcasts. We're excited to announce that we will be merging our two podcasts in 2025, and we invite you to subscribe to our Michael J. Fox Foundation Parkinson's Podcast on Apple Podcasts or wherever you get your podcasts for future episodes featuring scientists, doctors and people with Parkinson's talking about different aspects of life with the disease as well as new research toward treatment breakthroughs.

Parkinson's disease significantly impacts various aspects of communication, and this can make it challenging for people with the disease to communicate effectively, be understood by others, and engage in social situations. Dr. Gemma Moya-Galé joins this episode to talk about her work on voice and communication in people with Parkinson's disease. In particular, she discusses a novel app she and her team are developing, with funding from The Michael J. Fox Foundation, to help people with Parkinson's improve how well their speech is understood. The app uses evidence-based principles from speech therapy and noise-augmented automatic speech recognition to provide speech training and feedback. She also shares her recent research on linguistically and culturally responsive methods for addressing communication challenges in both English- and Spanish-speaking individuals with Parkinson's disease, and how this approach has the potential to improve clinical care. Gemma is an Assistant Professor of Communication Sciences and Disorders, as well as the Director of the Communication, Technology, and Language Diversity Lab at Teachers College, Columbia University.This podcast is geared toward researchers and clinicians. If you live with Parkinson's or have a friend or family member with PD, listen to The Michael J. Fox Foundation Parkinson's Podcast at michaeljfox.org/podcasts. We're excited to announce that we will be merging our two podcasts in 2025, and we invite you to subscribe to our Michael J. Fox Foundation Parkinson's Podcast on Apple Podcasts or wherever you get your podcasts for future episodes featuring scientists, doctors and people with Parkinson's talking about different aspects of life with the disease as well as new research toward treatment breakthroughs.

How do Muslims deal with what looks like the comprehensive success of Western civilisation. Is it time to accept defeat, as one writer put it? Or does Islam have something to offer the world that can move us beyond this dysfunctional world.Our guest today is Hasan Spiker, he argues that modernity is not neutral. The assumption is that modernity is regarded as universal is false. He argues that modernity is Western and its embrace is a means to Western hegemony and domination. He is the author of this soon to be published work, published on the 26th November – The Unraveling of Intelligibility.Join our Patreon to get access to exclusive monthly calls: https://www.patreon.com/TheThinkingMuslimHow do Muslims deal with what looks like the comprehensive success of Western civilisation. Is it time to accept defeat, as one writer put it? Or does Islam have something to offer the world that can move us beyond this dysfunctional world.Our guest today is Hasan Spiker, he argues that modernity is not neutral. The assumption is that modernity is regarded as universal is false. He argues that modernity is Western and its embrace is a means to Western hegemony and domination. He is the author of this soon to be published work, published on the 26th November – The Unraveling of Intelligibility.Let me remind all viewers that to help us continue to engage critical thought at this time, Please consider becoming a Patron. https://www.patreon.com/TheThinkingMuslimYou can also support The Thinking Muslim through a one-time donation: https://www.thinkingmuslim.com/DonateListen to the audio version of the podcast:Spotify: https://open.spotify.com/show/7vXiAjVFnhNI3T9Gkw636aApple Podcasts: https://podcasts.apple.com/gb/podcast/the-thinking-muslim/id1471798762Sign up to Muhammad Jalal's newsletter: https://jalalayn.substack.comPurchase our Thinking Muslim mug: https://www.thinkingmuslim.com/merchFind us on:Patron. https://www.patreon.com/TheThinkingMuslimTwitter: https://twitter.com/thinking_muslimFacebook: https://www.facebook.com/The-Thinking-Muslim-Podcast-105790781361490Instagram: https://www.instagram.com/thinkingmuslimpodcast/Telegram: https://t.me/thinkingmuslimHost: https://twitter.com/jalalaynWebsite Archive: https://www.thinkingmuslim.comTimestamps:0:00 – Introduction1:58 – Muslims Disempowered? 4:34 – What is Modernity?9:42 – Metaphysics and progress 14:51 – Islam and modernity19:00 – The 5 Bifurcations24:20 – Importance of Sharia25:36 – Separating sacred from spirit27:58 – Sharia vs Spiritual29:57 – The second bifurcation 37:43 – Protestantism and secularism 41:02 – Nation-state and modernity 44:06 – Liberalism development49:52 – The third bifurcation 53:02 – Reasoning religious belief 56:38 – Empirical vs Metaphysics 59:10 – The fourth bifurcation 1:08:21 – non-recognition of Metaphysics1:11:40 – The final bifurcation1:13:47 – The west's Machiavellianism 1:17:20 – Liberalism's Façade 1:19:18 – Gaza western hegemony1:27:17 – Ideologies and modernity 1:31:58 – Islams counter-hegemony 1:41:41 – City of Love1:45:51 – Strength of modernity 1:50:30 – Islam will save modernity Hosted on Acast. See acast.com/privacy for more information.

John Vervaeke engages in a profound discussion with James Filler, author of 'Heidegger, Neoplatonism, and the History of Being'. They examine the core arguments of Jame's book, which emphasizes relationality as more fundamental than individual existence in understanding reality. The conversation explores Neoplatonism, Heidegger's philosophy, and the convergence of these ideas with contemporary physics and biology. James recounts his journey in developing his dissertation into a pivotal work aimed at reorienting ontological perspectives. John and James also discuss the trajectory of Western and Eastern Christian thought, touching upon relational ontology's scientific and ethical ramifications. James Filler is the author of Heidegger, Neoplatonism, and the History of Being, a groundbreaking work exploring the philosophical underpinnings of relational ontology. His forthcoming book, Substance Ontology and the Crisis of Reason deepens the critique of substance thinking in Western philosophy. Notes:  (0:00) Welcome to the Lectern (1:00) Core themes of Heidegger, Neoplatonism, and the History of Being (3:00) Background of James Filler (5:30) Core argument of the book (10:00) The philosophical debate between Parmenides and Heraclitus (15:00) Ontological relationality and its philosophical implications (25:00) Heidegger's dialogue with Asian philosophy and the Christian trinity (34:00) Western vs. Eastern Christianity - diverging paths (40:00) A critique of Process Philosophy  (48:30) The conceptual and ethical implications of historical Christian interpretations (51:30) Distinction between discursive and non-discursive reasoning (58:30) Substance ontology and the crisis of reason (1:03:00) Addressing the crisis of rationality in modernity (1:11:00) Final reflections on relationality and its broader impacts   ---  Connect with a community dedicated to self-discovery and purpose, and gain deeper insights by joining our Patreon. The Vervaeke Foundation is committed to advancing the scientific pursuit of wisdom and creating a significant impact on the world. Become a part of our mission.   Join Awaken to Meaning to explore practices that enhance your virtues and foster deeper connections with reality and relationships.   John Vervaeke: Website | Twitter | YouTube | Patreon     Ideas, People, and Works Mentioned in this Episode Martin Heidegger  Plotinus Aristotle St. Gregory  Heraclitus  Parmenides Plato Jordan Hall Evan Thompson Relationality  Neoplatonism Substance Ontology Trinity Process Philosophy Virtue Epistemology Humility Dialogical Rationality "Heidegger, Neoplatonism, and the History of Being" by James Filler "Substance Ontology and the Crisis of Reason" by James Filler (upcoming book) "Awakening from the Meaning Crisis" by John "Recovering Plato: A Platonic Virtue Epistemology" by James Filler (published in Episteme) "The Divine Matrix" by David Ray Griffin "The One" by Paas "Being and Time" by Martin Heidegger "The Republic" by Plato "The Enneads" by Plotinus "Metaphysics" by Aristotle   Quotes:   "Relationality is itself more primordial, more fundamental to understanding the nature of reality."   "To be independent in the first place required a relation—because to be independent means there's something you're independent from."   "Our rationality operates best dialogically, not nomologically, which aligns deeply with relational ontology."  

Ralston College Humanities MA Dr John Vervaeke is a cognitive scientist and philosopher who explores the intersections of Neoplatonism, cognitive science, and the meaning crisis, focusing on wisdom practices, relevance realization, and personal transformation. Ralston College presents a lecture titled “Levels of Intelligibility, Levels of the Self: Realizing the Dialectic,” delivered by Dr John Vervaeke, an award-winning associate professor of cognitive science at the University of Toronto and creator of the acclaimed 50-episode “Awakening from the Meaning Crisis” series. In this lecture, Dr Vervaeke identifies our cultural moment as one of profound disconnection and resulting meaninglessness. Drawing on his own cutting-edge research as a cognitive scientist and philosopher, Vervaeke presents a way out of the meaning crisis through what he terms “third-wave Neoplatonism.” He reveals how this Neoplatonic framework, drawn in part from Plato's conception of the tripartite human soul, corresponds to the modern understanding of human cognition and, ultimately, to the levels of reality itself. He argues that a synoptic integration across these levels is not only possible but imperative.   — 00:00 Levels of Intelligibility: Integrating Neoplatonism and Cognitive Science 12:50 Stage One: Neoplatonic Psycho-ontology and the Path to Spirituality 41:02 Aristotelian Science: Knowing as Conformity and Transformation 46:36 Stoic Tradition: Agency, Identity, and the Flow of Nature 01:00:10 Stage Two: Cognitive Science and the Integration of Self and Reality 01:04:45 The Frame Problem and Relevance Realization  01:08:45 Relevance Realization and the Power of Human Cognition 01:20:15 Transjective Reality: Affordances and Participatory Fittedness 01:23:55 The Role of Relevance Realization: Self-Organizing Processes 01:31:30 Predictive Processing and Adaptivity 01:44:35 Critiquing Kant: The Case for Participatory Realism 01:53:35 Stage Three: Neoplatonism and the Meaning Crisis  02:00:15 Q&A Session 02:01:45 Q: What is the Ecology of Practices for Cultivating Wisdom? 02:11:50 Q: How Has the Cultural Curriculum Evolved Over Time? 02:26:30 Q: Does the World Have Infinite Intelligibility? 02:33:50 Q: Most Meaningful Visual Art? 02:34:15 Q: Social Media's Impact on Mental Health and Information? 02:39:45 Q: What is Transjective Reality? 02:46:35 Q: How Can Education Address the Meaning Crisis? 02:51:50 Q: Advice for Building a College Community? 02:55:30 Closing Remarks   — Authors, Ideas, and Works Mentioned in this Episode:    Antisthenes Aristotle Brett Anderson Byung-Chul Han Charles Darwin Daniel Dennett D. C. Schindler Friedrich Nietzsche Galileo Galilei Gottfried Wilhelm Leibniz Heraclitus Henry Corbin Immanuel Kant Iris Murdoch Isaac Newton Igor Grossmann Johannes Kepler John Locke John Searle John Spencer Karl Friston Karl Marx Mark Miller  Maurice Merleau-Ponty Nelson Goodman Paul Ricoeur Pierre Hadot Plato Pythagoras Rainer Maria Rilke René Descartes Sigmund Freud W. Norris Clarke anagoge (ἀναγωγή) Distributed cognition eidos (εἶδος) eros (ἔρως) Evan Thompson's deep continuity hypothesis Generative grammar logos (λόγος) Sensorimotor loop Stoicism thymos (θυμός) Bayes' theorem Wason Selection Task The Enigma of Reason by Hugo Mercier and Dan Sperber The Ennead by Plotinus Explorations in Metaphysics by W. Norris Clarke Religion and Nothingness by Keiji Nishitani The Eternal Law: Ancient Greek Philosophy, Modern Physics, and Ultimate Reality by John Spencer   — Additional Resources  John Vervaeke https://www.youtube.com/@johnvervaeke  Dr Stephen Blackwood  Ralston College (including newsletter) Support a New Beginning  — Thank you for listening!

“Intelligibility in the Church” is the latest sermon in our expository series on First Corinthians. The text is 1 Corinthians 14:1-19. This sermon was preached by Pastor Jason Garwood and recorded on Sunday, July 28th, 2024, at the weekly worship gathering of Cross & Crown Church. Learn more about us by visiting our website: www.crosscrownchurch.com.

Sunday Bible Lesson (second half): 14:6-12 Necessity of Intelligibility of Tongues. Taught by Dr. Chinyere Onwubiko at Berean Bible Church, Bay Springs, MS.

Sunday Bible Lesson (first half): 14:6-12 Necessity of Intelligibility of Tongues. Taught by Dr. Chinyere Onwubiko at Berean Bible Church, Bay Springs, MS.

Sunday Bible Lesson (second half): 14:6-12 Necessity of Intelligibility of Tongues. Taught by Dr. Chinyere Onwubiko at Berean Bible Church, Bay Springs, MS.

Sunday Bible Lesson (first half): 14:6-12 Necessity of Intelligibility of Tongues. Taught by Dr. Chinyere Onwubiko at Berean Bible Church, Bay Springs, MS.

Sunday Bible Lesson (second half): 14:6-12 Necessity of Intelligibility of Tongues. Taught by Dr. Chinyere Onwubiko at Berean Bible Church, Bay Springs, MS.

Sunday Bible Lesson (first half): 14:6-12 Necessity of Intelligibility of Tongues. Taught by Dr. Chinyere Onwubiko at Berean Bible Church, Bay Springs, MS.

Are tongues and prophecy for today? How should we think about them? In this sermon, we consider Paul's encouragement to earnestly desire the spiritual gifts, including prophecy. The world needs the church to speak a prophetic word — and that word has not changed.

In episode 106 of The Gradient Podcast, Daniel Bashir speaks to Professor Harvey Lederman.Professor Lederman is a professor of philosophy at UT Austin. He has broad interests in contemporary philosophy and in the history of philosophy: his areas of specialty include philosophical logic, the Ming dynasty philosopher Wang Yangming, epistemology, and philosophy of language. He has recently been working on incomplete preferences, on trying in the philosophy of language, and on Wang Yangming's moral metaphysics.Have suggestions for future podcast guests (or other feedback)? Let us know here or reach us at editor@thegradient.pubSubscribe to The Gradient Podcast:  Apple Podcasts  | Spotify | Pocket Casts | RSSFollow The Gradient on TwitterOutline:* (00:00) Intro* (02:15) Harvey's background* (05:30) Higher-order metaphysics and propositional attitudes* (06:25) Motivations* (12:25) Setup: syntactic types and ontological categories* (25:11) What makes higher-order languages meaningful and not vague?* (25:57) Higher-order languages corresponding to the world* (30:52) Extreme vagueness* (35:32) Desirable features of languages and important questions in philosophy* (36:42) Higher-order identity* (40:32) Intuitions about mental content, language, context-sensitivity* (50:42) Perspectivism* (51:32) Co-referring names, identity statements* (55:42) The paper's approach, “know” as context-sensitive* (57:24) Propositional attitude psychology and mentalese generalizations* (59:57) The “good standing” of theorizing about propositional attitudes* (1:02:22) Mentalese* (1:03:32) “Does knowledge imply belief?” — when a question does not have good standing* (1:06:17) Sense, Reference, and Substitution* (1:07:07) Fregeans and the principle of Substitution* (1:12:12) Follow-up work to this paper* (1:13:39) Do Language Models Produce Reference Like Libraries or Like Librarians?* (1:15:02) Bibliotechnism* (1:19:08) Inscriptions and reference, what it takes for something to refer* (1:22:37) Derivative and basic reference* (1:24:47) Intuition: n-gram models and reference* (1:28:22) Meaningfulness in sentences produced by n-gram models* (1:30:40) Bibliotechnism and LLMs, disanalogies to n-grams* (1:33:17) On other recent work (vector grounding, do LMs refer?, etc.)* (1:40:12) Causal connections and reference, how bibliotechnism makes good on the meanings of sentences* (1:45:46) RLHF, sensitivity to truth and meaningfulness* (1:48:47) Intelligibility* (1:50:52) When LLMs produce novel reference* (1:53:37) Novel reference vs. find-replace* (1:56:00) Directionality example* (1:58:22) Human intentions and derivative reference* (2:00:47) Between bibliotechnism and agency* (2:05:32) Where do invented names / novel reference come from?* (2:07:17) Further questions* (2:10:04) OutroLinks:* Harvey's homepage and Twitter* Papers discussed* Higher-order metaphysics and propositional attitudes* Perspectivism* Sense, Reference, and Substitution* Are Language Models More Like Libraries or Like Librarians? Bibliotechnism, the Novel Reference Problem, and the Attitudes of LLMs Get full access to The Gradient at thegradientpub.substack.com/subscribe

Please support us https://www.patreon.com/mlst https://discord.gg/aNPkGUQtc5 https://twitter.com/MLStreetTalk Lance Da Costa aims to advance our understanding of intelligent systems by modelling cognitive systems and improving artificial systems. He's a PhD candidate with Greg Pavliotis and Karl Friston jointly at Imperial College London and UCL, and a student in the Mathematics of Random Systems CDT run by Imperial College London and the University of Oxford. He completed an MRes in Brain Sciences at UCL with Karl Friston and Biswa Sengupta, an MASt in Pure Mathematics at the University of Cambridge with Oscar Randal-Williams, and a BSc in Mathematics at EPFL and the University of Toronto. Summary: Lance did pure math originally but became interested in the brain and AI. He started working with Karl Friston on the free energy principle, which claims all intelligent agents minimize free energy for perception, action, and decision-making. Lance has worked to provide mathematical foundations and proofs for why the free energy principle is true, starting from basic assumptions about agents interacting with their environment. This aims to justify the principle from first physics principles. Dr. Scarfe and Da Costa discuss different approaches to AI - the free energy/active inference approach focused on mimicking human intelligence vs approaches focused on maximizing capability like deep reinforcement learning. Lance argues active inference provides advantages for explainability and safety compared to black box AI systems. It provides a simple, sparse description of intelligence based on a generative model and free energy minimization. They discuss the need for structured learning and acquiring core knowledge to achieve more human-like intelligence. Lance highlights work from Josh Tenenbaum's lab that shows similar learning trajectories to humans in a simple Atari-like environment. Incorporating core knowledge constraints the space of possible generative models the agent can use to represent the world, making learning more sample efficient. Lance argues active inference agents with core knowledge can match human learning capabilities. They discuss how to make generative models interpretable, such as through factor graphs. The goal is to be able to understand the representations and message passing in the model that leads to decisions. In summary, Lance argues active inference provides a principled approach to AI with advantages for explainability, safety, and human-like learning. Combining it with core knowledge and structural learning aims to achieve more human-like artificial intelligence. https://www.lancelotdacosta.com/ https://twitter.com/lancelotdacosta Interviewer: Dr. Tim Scarfe TOC 00:00:00 - Start 00:09:27 - Intelligence 00:12:37 - Priors / structure learning 00:17:21 - Core knowledge 00:29:05 - Intelligence is specialised 00:33:21 - The magic of agents 00:39:30 - Intelligibility of structure learning #artificialintelligence #activeinference

Lecture Objectives:- Understand the range of normal development for speech and language.- Understand signs and symptoms of speech delay or disorders requiring a referral to a speech-language pathologist.Resources:Identify The Signs of Communication DisordersStuttering (asha.org)ASHA's Developmental Milestones: Birth to 5 YearsLearning More Than One Language (asha.org)Bilingualism_PrimerPediatricians.pdf (washington.edu)Baby Sign Language in the development of young hearing children: A review of selected studies - OvidDSThe effects of sign language on spoken language acquisition in children with hearing loss: a systematic review protocol - OvidDSUsing the Childhood Autism Rating Scale to Diagnose Autism Spectrum Disorders - PMC (nih.gov)Clinical Characteristics Associated With Stuttering Persistence: A Meta-Analysis | Journal of Speech, Language, and Hearing Research (asha.org)Crowe, K. & McLeod, S. (2020). Children's English consonant acquisition in the United States: A review. American Journal of Speech-Language Pathology. https://doi.org/10.1044/2020_AJSLP-19-00168Healey, A., Mendelsohn, A., & Childhood, C. (2019, January 01). Selecting Appropriate Toys for Young Children in the Digital Era. Retrieved November 04, 2020, from https://pediatrics.aappublications.org/content/143/1/e20183348McLeod, S., Crowe, K., & Shahaeian, A. (2015). Intelligibility in Context Scale: Normative and validation data for English-speaking preschoolers. Language, Speech, and Hearing Services in Schools, 46(3), 266-276. https://doi.org/10.1044/2015_LSHSS-14-0120Pontecorvo, E., Higgins, M., Mora, J., Lieberman, A.M., Pyers, J., & Caselli, N.K. (2023). Learning a sign language does not hinder acquisition of a spoken language. Journal  of  Speech, Language, and Hearing  Research, Vol. 66, 1291–1308. https://doi.org/10.1044/2022_JSLHR-22-00505Ravichandran, P., France De Bravo, B., & Beauport, R. (2017, August 14). Young Children and Screen Time (TV, Computers, etc.). Retrieved November 04, 2020, from http://www.center4research.org/young-children-screen-time-tv-computers-etc/

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2023.07.31.551390v1?rss=1 Authors: Iotzov, I., Parra, L. Abstract: Speech is hard to understand when there is background noise. Speech intelligibility and listening effort both affect our ability to understand speech, but the relative contribution of these subjective factors is hard to disentangle. Previous studies suggest that speech intelligibility could be assessed with EEG speech tracking and listening effort via pupil size. However, these measures may be confounded, because poor intelligibility may require a larger effort. To address this we developed a novel word-detection paradigm that allows for a rapid behavioral assessment of speech processing. In this paradigm words appear on the screen during continuous speech similar to closed captioning. In two listening experiments with a total of 51 participants we manipulated intelligibility with changing auditory noise levels and modulated effort by varying monetary reward. Increasing signal-to-noise ratio (SNR) improved detection performance along with EEG speech tracking, suggesting improved intelligibility. Additionally, we find larger pupil size with increased SNR, suggestive of increased effort. Surprisingly, when we modulated both reward and SNR, we found that reward modulated only pupil size, while SNR modulated only EEG speech tracking. We suggest that this new paradigm can be used to independently and objectively assess speech intelligibility and listening effort. Copy rights belong to original authors. Visit the link for more info Podcast created by Paper Player, LLC

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2023.07.20.549841v1?rss=1 Authors: Regev, J., Zaar, J., Relano-Iborra, H., Dau, T. Abstract: The perception of amplitude modulations (AMs), which is characterized by a frequency-selective process in the modulation domain, is considered critical for speech intelligibility. Previous studies have provided evidence of an age-related decline in AM frequency selectivity, as well as a notable sharpening of AM tuning associated with hearing loss, possibly due to a perceptual advantage resulting from peripheral compression loss. This study aimed to examine whether speech intelligibility in noisy environments would support the following ideas: i) age-related declines in AM tuning might lead to poorer speech intelligibility, and ii) sharper AM tuning associated with hearing loss would not result in improved speech intelligibility. Young (n=10, 22-28 years) and older listeners with normal hearing (n=9, 57-77 years) as well as older listeners with hearing impairment (n=9, 64-77 years) were included in the investigation. All participants had previously taken part in studies on AM frequency selectivity. Speech intelligibility was tested in various listening conditions, including stationary, fluctuating, and competing-speech maskers. Consistent with the hypothesis, the results revealed an age-related increase in speech reception thresholds, with an additional negative impact of hearing loss. These findings motivate further exploration of the relationship between AM frequency selectivity and speech intelligibility in noisy environments. Copy rights belong to original authors. Visit the link for more info Podcast created by Paper Player, LLC

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2023.07.03.547477v1?rss=1 Authors: Van Hirtum, T., Somers, B., Dieudonne, B., Verschueren, E., Wouters, J., Francart, T. Abstract: Early assessment of hearing aid benefit is crucial, as the extent to which hearing aids provide audible speech information predicts speech and language outcomes. A growing body of research has proposed neural envelope tracking as an objective measure of speech, particularly for individuals unable to provide reliable behavioral feedback. However, its potential for evaluating speech intelligibility and hearing aid benefit in hearing-impaired children remains unexplored. This study examined neural envelope tracking in hearing-impaired children through two separate experiments. EEG data was recorded while children listened to age-appropriate stories (experiment 1) or an animated movie (experiment 2) under aided and unaided conditions (using personal hearing aids) at multiple stimulus intensities. Results in the delta band demonstrated that neural tracking increased with increasing stimulus intensity, but only in the unaided condition. In the aided condition, neural tracking remained stable across a wide range of intensities, as long as speech intelligibility was maintained. This suggests that acoustic degradation of the speech signal does not necessarily impact neural tracking. Additionally, the use of personal hearing aids significantly enhanced neural envelope tracking, particularly in challenging speech conditions (which would be inaudible when unaided). Furthermore, neural envelope tracking strongly correlated with behaviorally measured speech intelligibility. Altogether, these findings indicate that neural envelope tracking could be a valuable tool for predicting speech intelligibility benefits derived from personal hearing aids in hearing-impaired children. Incorporating narrated stories or engaging movies expands the accessibility of these methods even in clinical settings, offering new avenues for using objective speech measures to guide pediatric audiology decision-making. Copy rights belong to original authors. Visit the link for more info Podcast created by Paper Player, LLC

One of the biggest fears about speaking English is that people won't understand you. This could be because of your pronunciation, or because you use English that other people don't understand."Intelligibility" -  how easy it is for people to understand you - is really important, obviously. In this podcast, I show you two ways to be more easily understood, through pronunciation and "rescue" English.There are lots of suggestions for you - as well as an invitation to join the English Fluency Workshop.LinksMinimal Pairs For Pronunciation - exercises for better pronunciation English Fluency Workshop - 7 ways to get more fluent in EnglishSubscribe to the podcastNever miss an episode! Get free weekly coaching tips here.

What's up everyone,If you haven't checked out our previous 3 episodes in our AI series you might want to before this episode, we give you a lot of context around some of the events that have happened and will shape the conversation today.So basically How fast could AI change or replace marketing jobs? How marketers can stay informed and become AI fluent Exploring new paths to future-proof your marketing career in the age of AI Today we're diving into specific tools… there's a lot of noise out there right now.What tools you should play around withIn TMW #107 | ChatGPT and the artificial marketer, Juan Mendoza explains that“...generative AI tools are already everywhere. From text generation to video and audio production, to image creation, there's a thriving industry of technologies taking small slices out of our creative talents, packaging them up, and selling them as a SaaS product on a recurring revenue model. If you're wanting to stay relevant five years from now in the marketing technology industry, you're probably going to have to learn some of these platforms. In 2010 we used to say: “there's an app for that”. In 2023, we will be saying: “there's an AI for that.””OutlineHere are some of the topics for this third AI episode: Key AI technology definitions and how to differentiate real AI tools vs all the noise out there Deep dive into tools Content marketing tools Email and marketing automation tools Predictive analytics tools Text to presentation and pitch deck tools 3D animation tools for product marketers Sales and outreach tools Text to website creator tools Ad and social creative tools AutoGPT and AI agents And a bunch of other tools like conversational search engines, 1-1 convos with celebrities and an even longer list of honorable mentions  Here's today's main takeaway:The key to future proofing your marketing career with the ever changing AI landscape is to stay curious, get your hands dirty and experiment fearlessly: Fill out some forms, spin up free trials, get on wait lists, and give new AI tools a chance. It's only by actually getting your hands dirty that you'll discover which tools truly work for you and which are just part of the ever growing sea of gimmicky AI tools.Definition of tech termsI'll be using some of these terms throughout my analysis of some of these tools so here's a primer explaining the three most common AI technologies used for marketing applications: MLMachine Learning): ML is a way to teach computers to learn by themselves, without having to be programmed for every task. They learn from examples and data patterns to make predictions or decisions. Applications include segmentation, predictive analytics and propensity models. NLPNatural Language Processing: NLP is a subset of ML and focuses on enabling computers to understand, interpret, and generate human language. Includes sentiment analysis, machine translation, named entity recognition, text summarization, and more. NLP techniques usually helps computers understand and communicate with humans using everyday language. GNNGraph Neural Network: GNN also a subset of ML is a type of neural network that aims to handle graph-structured data, data organized like a network or web of connected points. Applications include analyzing relationships between different things like users in a social network or users in your database or recommending additional products based on past purchase history. Real AI vs noisePart of the reason AI gets a really bad rep, especially in martech, is that anything that's built on if statements or simple Javascript logic gets called AI. There's still plenty of AI startups that shout about their proprietary AI when it's probably just a few decision trees and a few interns running spreadsheets.Now though, you have an even bigger bucket of noise that's essentially “slight tweak on Chat-GPT”. Developing AI that was comparable to human performance was a challenging feat prior to GPT's arrival. To achieve this level of sophistication, a company would have had to: make a substantial investment, amounting to millions of dollars developing its own algorithms performing extensive data cleanup But it's so easy now because GPT is so good out of the box. Allen Cheng puts it simply. Starting a new AI venture can be achieved by simply assembling a few elements:  a product developed on GPT-4's user-friendly API a website,  and a marketing campaign.  This is why we're seeing hundreds of AI tolls pop up every week.A lot of these GPT-based products are pretty much indistinguishable from one another. Maybe a handful  have a significant advantage over others but most are gimmicky. And over the next few months, every tool is going to be integrating ChatGPT features inside their products in the hopes of making it stickier.The threat of GPT-nThe part that I find trickiest and the most discouraging about building anything on top of GPT is that any progress you make on fine tuning GPT-4 will totally be wiped out by GPT-5 or GPT-n… Kind of like we talked about in a previous episode with all the tools GPT's plugins killed. So let's cut through the noise and dive into legit AI tools, the ones you should be playing with and experimenting. Content marketing toolsCopy.ai and Jasperhttps://copy.ai/ https://jasper.ai/ AI text generators are very common these days, the two most popular tools, especially for marketers are Copy.ai and Jasper. Both allow you to bypass the initial stage of writing where you face a blank page. The promise of these tools is that they help you in generating ideas, saving time on brainstorming and drafting, and ensuring a consistent production flow, freeing you to focus on higher-level strategic tasks, original research, and connecting with your audience.I've played around with both Jasper and Copy.ai before ChatGPT came out… and they were super unique. But both Copy.ai and Jasper are built on top of GPT, they essentially rent usage of the platform. So they built a pretty nice UI on top of GPT… but now that ChatGPT came out, I'm sure they've seen a drop in usage. Plus GPT-4 is 3 times more expensive.They still offer marketing specific value though and can get you up to speed faster than using CGPT in the form of templates, prompts and workflows. Both are super powerful, you could make a case that Jasper outshines its counterpart a bit, especially on the longer content format but it's also way more expensive. Miguel Rebelo from Zapier has a solid breakdown comparison here https://zapier.com/blog/jasper-vs-copy-ai/ GramarlyGOhttps://www.grammarly.com/grammarlygo Grammarly, the popular spelling and grammar checker which has been using AI for over a decade already, also entered the generative AI niche last month unveiling GrammarlyGO. You guessed it, built on GPT. It has a particular advantage because Grammarly is already widely used and this is just an extra feature so to speak. Instead of just checking your grammar it can now also help you with drafting documents, composing and responding to emails, editing writing for tone, clarity, and length, and brainstorming ideas or outlines for projects within the apps you're already working in. Lots of tools are going the Grammarly route in adding GPT features to their product, like Notion and more recently Superhuman.Other AI writing toolsSome of these specialize in SEO, some in long form content, some in short form… they all do similar things:Copysmith https://copysmith.ai/ Anyword https://anyword.com/ Writesonic https://writesonic.com/Copymatic https://copymatic.ai/ Yaara https://www.yaara.ai/ Rytr https://rytr.me/ Frase https://frase.io/ EmailEmail is just a channel of potential generative content tools so it's not totally distinguishable from the tools we chatted about in the content category. Chances are that the Marketing Automation platform or the customer engagement platform you're already using as a suite of features they are throwing AI next to. Most of these though are just ML.  Some tools like Iterable and Braze have propensity models to find users that are likely to perform a purchase event, that's ML, and it's only based on your data set.  Some tools like Seventh Sense throw AI in front of Send Time Optimization features, these have been around for a long time and are only based on your recipients. This is also ML.  Some tools throw AI in front of Sentiment Analysis features allowing you to analyze and classify the emotional tone of text into useful data. This is a subset of NLP that uses ML. Some tools like 6sense throw AI in front of conversational email assistants that are supposed to be a step up from static drip emails sequences. This is also a form of NLP and generative AI. You're likely to start seeing copy assistants and additional AI features powered on GPT inside of these tools. I wanted to chat about one product that I feel like stands out from others in terms of being built around AI rather than it simply being a feature on the side.Persadohttps://www.persado.com/ One example I've seen (but haven't used myself) of a CEP using more advanced AI is a tool called Persado. The two co-founders are former founders of Upstream in the mobile marketing space. Similar to 6sense's conversational email platform, they've been around for a decade and they claim to leverage NLP + ML to create, optimize, and personalize engagement messaging. So they essentially analyze a bunch of data and identify the most effective emotions, CTAs, language, phrases to drive engagement. It's worth calling it out because it's more than just predicting user behavior and optimizing the best time to send a message, it takes it a step further by also incorporating NLP techniques, understanding the nuances of human language, and generating custom marketing messages that resonate with a unique user. One thing that makes Persado unique is it's not built on GPT, it has its own model that's trained on more than 100 billion digital business language impressions across industries. Potentially less data points than GPT but arguably better and more relevant impressions. As Lisa Spira, VP of Content Intelligence at Persado explains in an interview with Martechseries, “models like OpenAI's ChatGPT are trained on the entire “Wild West” of the Internet, so their results, while delivered confidently by the model, can be riddled with inaccuracies, or even offensive content”. She adds that “Generative AI tools might be capable of writing anything, but we're able to cut through that noise, and train our generative AI to write in a way that motivates recipients to take actions: to open an email, convert on a shopping cart webpage, or stop scrolling and click on a social media ad.”And not just generative AI. Persado is pushing a term called Motivation AI and they have a really cool example of it. Let's say you're in D2C and you're selling sweaters. Generative AI gives you level 1 and 2 content which is Intelligibility and Relevance so it might spit out content like: Sweaters are a knitted garment that usually have long sleeves and are designed to be worn over other clothing In the fall, sweaters provide an extra layer of warmth in the cooler temperatures. They are stylish choice for fall fashion because they come in a variety of colors and styles But the next stage of this is including Emotion to get an output like this:You're going to love these cozy sweaters for fallAnd the following stage, where Persado claims to play is Motivation where you would get an output like this:A cozy invitation: indulge in our luxuriously soft sweaters this fallNow this might all be semantics. I'd argue that with great prompting you can get to generative content that includes motivation and emotion. Optimovehttps://www.optimove.com/ This tool could actually go in the CRM, the CDP or even the email category with the acquisitions they've made in the last few years but another name that I've heard a few times is Optimove. They play in the enterprise arena and primarily serve retailers and gaming operators but they have an interesting suite of AI tools for marketers. I've personally not used the tool but they claim to provide personalized recommendation campaign orchestration with their AI-based marketing bot (Optibot). It provides what they call self-optimizing campaigns that are essentially advanced A/B/n campaign testing that automatically serves the best treatment to individual customers through the use of ML. Source: https://www.optimove.com/pdf/Optimove-Product-Features.pdf Predictive AnalyticsPredictive analytics is a super cool niche of AI application. It essentially enables us to anticipate trends and patterns of consumer behavior based on a bunch of user data. Done right, you can do cool things like uncover users ready to buy amongst a sea of tire kickers, find free users primed for upsells and anticipate customers about to churn.Vidora Cortex (mParticle Intelligent Attributes)https://www.vidora.com/platform/ I wanted to start by calling out a few no-code / low-code predictive analytics / ML pipeline platforms. There's not a ton in this space but it has been growing over the past few years. Many of the big analytics players like Qlik's AutoML, IBM's Watson Studio, Amazon SageMaker, Google's AutoML, have a ML specific tool that does this but it's built for data scientists. Vidora is worth calling out here because it was built more for knowledge workers.Vidora was founded by 3 academics while pursuing their Ph.Ds Caltech and Berkeley, they built systems that utilized machine learning to convert raw data into informed decisions. Their initial vision was to democratize machine learning capabilities. They are a small 20 person startup in SF but their product offers huge potential, so much so that they were acquired by mParticle, a popular CDP. Vidora's platform, Cortex, provides you with the ability to build distinct pipelines for your customer data, so you can then produce various predictive attributes tailored for particular applications. For example if your goal is to identify the customers with the highest probability of purchasing your product in the next 30 days, the pipeline allows you to enhance your retargeting ROI by focusing on this user segment. Similar: https://www.pecan.ai/  https://www.akkio.com/  6sensehttps://6sense.com/It's worth highlighting 6sense here as well. Not specifically an ML tool but it has a wider set of use cases that are a mix of intent data and predictive analytics and a slice of lead scoring… but they've been around for a decade. They use real-time data about your buyers to predict their buying intent and what their current purchasing stage might be. They uncover some of the magic in a blog post about their predictive engine here. They claim to be using: Intent data, web visits, content engagement (1st party) and 3rd party user behavior data from all over the Internet Historical data, events that led up to sales in the past ICP, firmographic and technographic data So they layer intent data on top of historical data and filter it through your ICP and the output is a target list of accounts that show intent to buy and are a good fit for your solution.The secret sauce here is really the 3rd party intent data. This is hidden data that they are able to assign to leads and accounts. Part of the source here is 6sense's proprietary intent network and other B2B review sites like G2, TrustRadius, and PeerSpot.Kumohttps://kumo.ai/ Founded by Jure Leskovec, former Stanford University computer science professor who's known for his bold assertion that AI would eventually be capable of predicting the future. He partnered with the former CTO of Pinterest and Airbnb as well as the former Head of Growth AI at LinkedIn to build Kumo.Using Kumo, companies can not only analyze past events but also predict future opportunities. Kumo uses GNNs (Graph Neural Networks) to identify patterns and relationships in complex data sets that cannot be easily analyzed using traditional statistical or machine learning techniques. This essentially allows marketers to anticipate customer behavior (how much they will spend, which new products they will be more interested in, things that would make them leave for a competitor) and offer personalized product recommendations, promotions, and communication.Predictive analytics isn't a new concept though. We talked a bit about this in our first episode when we mentioned propensity models which tons of larger companies employ today. But this is operationalizing it a step further and not just on your company's datasets. And imagine unlocking this capability for startups. So the idea is that marketing operations teams would change their focus to future customer behaviors. PresentationTomehttps://beta.tome.app/ There are countless AI productivity tools that are all super similar. But one that's been buzzing lately is Tome. They are founded by product leads from Facebook and Instagram, and recently got $43 million in their Series B funding round. They launched an innovative document-to-presentation AI tool, which utilizes GPT-4 to generate text and images and transform a document into compelling presentations, narratives, and stories. Tome's tile system sets it apart from other generative PowerPoint tools on the market and gives Microsoft a run for its money. Not only does it offer robust functionality, but it also boasts a sleek and impressive design.https://gamma.app/ 3D AnimationSpline AIhttps://spline.design/ai Spline AI was created by Alejandro León, it's a YC21 startup that's building a 3D design platform comparable to Figma, it basically allows you to convert text to 3D. For decades, creating in 3D has been super hard. Spline is changing this.You can easily create objects and scenes, edit objects, colors, and properties, add physics and randomness, create animations and events, generate style alternatives, collaborate with others in real-time, and much more. The applications for videos and product marketing are endless here, see a demo here. SalesAI-powered sales tools are popping up every week. Especially in the niche of email outreach. Personalization, subject line optimization, send-time optimization, sales rep coaching, auto suggest follow-up cadences… just a few of the areas where AI can enhance your email campaigns. NLP can analyze email responses and suggest appropriate next steps, helping your sales team respond efficiently. There's tons of players in this space like Cresta, Lyne, Regie. Cresta was funded out of the AI Grant program organized by some of the brightest tech minds in AI. Their founder, S. Zayd Enam chose to leave his PhD program at Stanford to establish the startup. They specifically provide AI guidance software and support that elevates each representative, behavioral mentoring of agents to enhance performance and locate solutions and areas to streamline monotonous tasks.AI Sales Email Coach. It assists you in real-time. Get more positive replies and write better emails faster.https://www.lavender.ai/ https://cresta.com/ https://lyne.ai/cold-email-ai/ https://www.regie.ai/ Web creatorsButternut AIhttps://butternut.ai/ Tagline says it all: Create a website for your business in 20 seconds with AI. Butternut.ai uses generative AI technology that allows users to create websites by simply answering text prompts. The AI technology is designed to function like a personal developer, providing users with an efficient and cost-effective solution for creating and editing websites.Butternut.ai is continuously improving its website builder and is currently working on its v2 version that will offer more design and editing functionalities. Users can even command the AI to perform specific tasks like creating a pricing page with a CTA to sign up.http://Stunning.so https://10web.io Ad and social creativeAlbert.aihttps://albert.ai/ Albert is an autonomous and self-learning digital marketing tool that uses ML + NLP as well as analytics to automate and optimize your paid ad campaigns, specifically Google's search and programmatic channels, as well as Facebook, Instagram, YouTube and Bing. It can automate bidding and budget allocation, keyword and audience targeting, as well as creative testing and optimization. So obviously the part that stands out here is that unlike many other campaign AI tools that just spit out recommendations and then a marketer takes the action, Albert claims to be one of the first tools that's an autonomous AI, it does the action also. Not only that, it's also making adjustments and improvements constantly. You seem to be able to set guardrails of course. They also claim the ability to identify trends, uncover new audience segments, and optimize ad placements. In their docs they say they are more useful in large data sets and B2C environments. AdCreativehttps://adcreative.ai/ AutoGPT and AI agentsI don't think we can go a full episode about AI tools without talking about AutoGPT and AI agents.Essentially you can assign an objective to an AI agent and they work on tasks that lead to accomplish this objective. It's making prompting a bit easier, instead of giving full instructions, the AI identifies the necessary steps to achieve your goal and some of the more advanced ones generate additional AI to assist. You may have seen this on Twitter, I think the first true demo was Yohei Nakajima's impressive demonstration of babyAGI.Things started blowing up with AutoGPT, released by SigGravitas just last week. Described as a self-running AI agent that can write its own code, heal itself from errors, and access the internet via Google search. It does sound really cool for several reasons: Internet access,  long-term and short-term memory management,  text generation,  and integration with 11 Labs for AI text to speech generation.  It's arguable that all of this will be possible with GPT plugins but this is doable today and has different applications, let's unpack a few examples:Social media is primed for automation, lots of the work here can already be automated. But imagine setting an AI agent loose with the objective of creating content, scheduling posts (not just posting them) and replying to comments and questions. Replying to questions is a huge part of customer service, you could argue this is another area that's already being automated with chat bots, especially the better ones connected to help docs. But imagine setting an AI agent loose with the objective of really understanding customer questions (not just picking up a keyword and recommending a help article), it could speak any language and you could train it on your brand tone.We're still early but there's already been a ton of innovation here.Here are some of the tools you can play around with today without reading a GitHub repo:Cognosyshttps://www.cognosys.ai/ Cognosys allows you to operate your personal AutoGPT Agent in-browser which is currently available and free to utilize. I've personally played around with it quite a bit and it's pretty wild, it's not perfect yet but it's really cool seeing how it will add new tasks to get to the objective. The beta is still on GPT-3.5. Here's my favorite example:Main objective was to: Build a list of AI tools that have a marketing application, that were released in the last 3 months. Here were the follow-up tasks it added to get to the objective: 1. Retrieve a list of AI tools that were released in the last 3 months. 2. Filter the list to only include tools that have a marketing application. 3. Compile the filtered list into a final list of AI tools with marketing applications released in the last 3 months. The final list of AI tools with marketing applications released in the last 3 months is as follows:  1. Receptiviti: A tool that uses AI to analyze consumer emotions and sentiment in order to optimize marketing strategies.  2. Cortex: A platform that uses AI to help marketers personalize content and improve customer engagement.  3. Adext AI: A tool that uses AI to optimize ad campaigns and improve ad performance.  4. Acoustic: An AI-powered marketing platform that helps businesses automate and optimize their marketing strategies.  5. Pathmatics: A tool that uses AI to provide insights into ad spending and campaign performance for competitive analysis.  It then added a few extra tasks because it didn't seem satisfied with the list. Research and compile a list of AI tools that have a marketing application and were released in the last 6 months. The result was 6 tools, but not all 5 from the first task were there. Identify the unique features and functionalities of each AI tool on the list and create a comparison chart to evaluate which tools are most suitable for specific marketing applications. Conduct a survey of marketing professionals to gather feedback and opinions on the identified AI tools and their effectiveness in improving marketing strategies.But then it apologized and said it cannot perform that task…  Research and compile a list of case studies showcasing the successful implementation of AI tools in marketing campaigns.It spun up a case study about Coke using "Albert" to optimize their social media advertising campaigns and Amazon using "Rekognition" to analyze customer behavior and personalize their shopping experience.  Create a step-by-step guide on how to integrate an AI tool into a marketing strategy, including best practices and potential challenges.The step by step wasn't too bad.  1: Define the problem or opportunity,  2: Identify the right AI tool by researching and comparing different tools,  3: Understand the data requirements like type of data, format, frequency updates,  4: Prepare the data for integration like cleaning and formatting  5: Integrate the AI tool  Research and compile a list of AI tools that have a marketing application and were released in the last 2 months.Not sure why it did this for 2 months but this time it gave me tools with release dates which was pretty cool but also obvious that I wasn't getting tools released in the last 2 months, I was only getting tools released in the last 2 months since GPT's latest batch of data which was mid 2021.  Create a comparison chart to evaluate the unique features and functionalities of each AI tool on the list and determine which tools are most suitable for specific marketing applications. Also try: https://agentgpt.reworkd.ai/  https://app.hyperwriteai.com/earlyAccess  https://godmode.space/  OtherRewind.aihttps://twitter.com/dsiroker/status/1646895452317700097?s=20 https://www.rewind.ai/ You may have seen their public investor pitch on Twitter, the founder is the former creator of Optimizely and his team built a way for you to record and store everything you've said or heard or seen and they make it searchable. Obviously there's huge privacy considerations with something like this. But people don't seem to care haha they went from 0 to 700k in ARR in 3 months. Perplexity AI https://www.perplexity.ai/ Perplexity is a startup that's changing the way we search the web. With their conversational search engine, you can ask questions in plain English and get accurate answers from various sources. And with $26 million in Series A funding, (including investments from Ed Gil) they're looking to revolutionize the search engine game.Their AI technology sets it apart from traditional search engines like Google, and their chatbot-like interface is user-friendly and intuitive, it is built on top of GPT.Perplexity's focus on accuracy is a breath of fresh air in an era where search engines can be manipulated by advertisers and search engine optimization. The Series A funds will be used to optimize their knowledge database and expand their reach. All in all, Perplexity AI is definitely one to watch in the coming years!Character AIhttps://beta.character.ai/ Imagine being able to have a one-on-one conversation with your favorite celebrity or fictional character - well, that's now a possibility with Character.ai, an innovative AI website created by two former Google engineers. The platform has been growing in popularity since its launch last September, offering users the opportunity to chat with a wide range of characters for free. What's more, the interactions are so seamless that some users have reported spending hours chatting with their chosen personality, almost forgetting that they're talking to a machine.However, there's a catch - the interactions are not real, and the AI's responses may not always be accurate or reliable. Despite this, Character.ai has been embraced by fans who are looking for new ways to engage with their favorite personalities, particularly online. This is especially true for fan fiction lovers who are excited about the tool's potential for creating new experiences and making the barrier to entry for writing fan fiction much lower.But as with any new technology, there are concerns about its impact on real-world relationships, especially if users spend more time on it than with the people they care about. Furthermore, the AI technology could be used by stans to go after a perceived enemy of their favorite star, which could be a problem if it leads to harmful interactions or behavior towards other users.Despite these concerns, Character.ai represents a new frontier for fan culture, offering a new way for fans to engage with their favorite personalities and characters. The platform's growth in popularity is a testament to the human need for connection, and while it may not substitute actual interactions, it provides a unique and exciting way for fans to engage with their favorite personalities.Magichttps://magic.dev/ Magic, a startup developing an AI-driven tool to help software engineers write, review, debug, and plan code changes, just raised $23 million in a funding round led by Alphabet's CapitalG. The platform's CEO, Eric Steinberger, was inspired by AI at a young age and is using his experience as an AI researcher to create a tool that will communicate with users in natural language, helping to improve the speed and cost of developing software.Steinberger claims that Magic can understand legacy code and collaborate with users on code changes, operating like a pair programmer that learns more about the context of both coding projects and developers. The AI colleague that Magic offers will be able to understand code and can help developers navigate it, allowing companies to scale the impact of their current employees and train new employees with less personal coaching.What sets it apart is that it allows developers to describe what they want in English, and the AI will understand it and collaborate with them on the changes. This means that developers can work with Magic like a colleague and send messages telling it what changes they want to be made to the code. This one isn't built on GPT, the company has developed its own neural network architecture that can rapidly read code and is capable of detecting, warning about and overcoming potential bugs in the code. Honorable mentionsGalileo AI - Create editable UI designs from text descriptionhttps://usegalileo.ai/ Notocat - Write your newsletters in Notion and send them to your subscribershttps://twitter.com/razvanilin/status/1643565644061999104 Brainf FM - music made by AI that's scientifically proven to increase focushttps://www.brain.fm/ Meeting notes and transcription appshttps://tldv.io/ https://vowel.com/ Image Vectorizer - Turn small images to vectorhttps://vectorizer.io/Speech-to-text generator for podcasts that creates notes, timestamps and summary contenthttps://castmagic.io/ https://podsqueeze.com/ Text-to-speech AI voice generatorhttps://murf.ai/ https://beta.elevenlabs.io/ Text-to-music AI music generator https://mubert.com/ Text-to-SQL query, connect your database, ask a question, get an answerhttps://usechannel.com/ Teachable's AI course curriculum generatorhttps://teachable.com/ai-curriculum-generator https://twitter.com/teachable/status/1641154548419969048?s=20 The opportunities are endless with AI tools and applications go far beyond marketing. I see too many people on Twitter dunking on using it to help you generate text or as a search engine or fact checker… and they're missing the big picture. People are using AI to Help them build custom meal plans Custom exercise plans Help them build sleeping plans Help them build routines and schedules with their newborns Planning road trips Planning date ideas Acting as a therapist Getting movie and book recommendations Planning a party or event Designing personal budgets Assisting with resume and cover letter writing Summarizing long articles and youtube videos Write SQL queries Explain python and CSS code in plain English ConclusionIt's not like our marketing jobs are gonna vanish overnight, but the shift is happening faster than many of us realize. AI's no longer just a loosely backed buzzword; it's doing things today that we used to think were impossible. So, as marketers, we've gotta take this tech seriously.There's 4 main things marketers should be doing to future-proof their careers: Instead of asking if AI's gonna replace our roles in marketing, we should be talking about how quickly it could happen and what it'll look like if it does. Staying informed and learning from some of the best podcasts and newsletters about AI. Ben's Bites, No Priors Podcast, A Guide for Thinking Humans and the AI Exchange are great resources.    Now is the time to figure out if you need to make changes to your current area of speciality. Ask yourself if you should double down on additional areas like data and API services, getting closer to product and customers or starting to learn about ethics and data privacy. Stay curious, get your hands dirty and experiment fearlessly: Fill out some forms, spin up free trials, get on wait lists, and give new AI tools a chance. It's only by actually getting your hands dirty that you'll discover which tools truly work for you and which are just part of the ever growing sea of gimmicky AI tools. ✌️--Intro music by Wowa via UnminusCover art created with Midjourney

On this episode of ID The Future, host Jay Richards concludes a two-part conversation with Ann Gauger about her newly edited volume God's Grandeur: The Catholic Case for Intelligent Design. Part 1 of their discussion focuses on the philosophical and theological arguments for intelligent design presented in the book. Gauger holds that Darwinism has no adequate explanation for natural beauty or the ability of human beings to appreciate beauty for its own sake. She also argues that we have no reason to expect human uniqueness or intelligibility in the universe outside a design paradigm. This is Part 2 of a conversation. Visit GodsGrandeur.org to learn more and download a free chapter! Source

Dr. Richard Sternberg speaks on his mathematical/logical work showing the difficulty of identifying genes purely with material phenomena. Source

This is course taught by evangelistic worker John O'Roark on how to defend the Christian faith against the arguments of all other religious systems. Apologetics is the defense of the Christian worldview, and in this course you will learn how to defend the faith when anyone asks you for a reason for the hope that is in you.

In this text, Paul continues to argue against the use of untranslated tongues in the worship service as such a practice offers no help to the gathered church.

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2023.02.22.529509v1?rss=1 Authors: Van Hirtum, T., Somers, B., Verschueren, E., Dieudonne, B., Francart, T. Abstract: Behavioral tests are currently the gold standard in measuring speech intelligibility. However, these tests can be difficult to administer in young children due to factors such as motivation, linguistic knowledge and cognitive skills. It has been shown that measures of neural envelope tracking can be used to predict speech intelligibility and overcome these issues. However, its potential as an objective measure for speech intelligibility in noise remains to be investigated in preschool children. Here, we evaluated neural envelope tracking as a function of signal-to-noise ratio (SNR) in 14 5-year-old children. We examined EEG responses to natural, continuous speech presented at different SNRs ranging from -8 (very difficult) to 8 dB SNR (very easy). As expected delta band (0.5-4 Hz) tracking increased with increasing stimulus SNR. However, this increase was not strictly monotonic as neural tracking reached a plateau between 0 and 4 dB SNR, similarly to the behavioral speech intelligibility outcomes. These findings indicate that neural tracking in the delta band remains stable, as long as the acoustical degradation of the speech signal does not reflect significant changes in speech intelligibility. Theta band tracking (4-8 Hz), on the other hand, was found to be drastically reduced and more easily affected by noise in children, making it less reliable as a measure of speech intelligibility. By contrast, neural envelope tracking in the delta band was directly associated with behavioral measures of speech intelligibility. This suggests that neural envelope tracking in the delta band is a valuable tool for evaluating speech-in-noise intelligibility in preschoolers, highlighting its potential as an objective measure of speech in difficult-to-test populations. Copy rights belong to original authors. Visit the link for more info Podcast created by Paper Player, LLC

This is course taught by evangelistic worker John O'Roark on how to defend the Christian faith against the arguments of all other religious systems. Apologetics is the defense of the Christian worldview, and in this course you will learn how to defend the faith when anyone asks you for a reason for the hope that is in you.

This is course taught by evangelistic worker John O'Roark on how to defend the Christian faith against the arguments of all other religious systems. Apologetics is the defense of the Christian worldview, and in this course you will learn how to defend the faith when anyone asks you for a reason for the hope that is in you.

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2022.12.31.522365v1?rss=1 Authors: Viswanathan, V., Bharadwaj, H. M., Heinz, M. G., Shinn-Cunningham, B. G. Abstract: Neurophysiological studies suggest that intrinsic brain oscillations influence sensory processing, especially of rhythmic stimuli like speech. Prior work suggests that brain rhythms may mediate perceptual grouping and selective attention to speech amidst competing sound, as well as more linguistic aspects of speech processing like predictive coding. However, we know of no prior studies that have directly tested, at the single-trial level, whether brain oscillations relate to speech-in-noise outcomes. Here, we combined electroencephalography while simultaneously measuring intelligibility of spoken sentences amidst two different interfering sounds: multi-talker babble or speech-shaped noise. We find that induced parieto-occipital alpha (7-15 Hz; thought to modulate attentional focus) and frontal beta (13-30 Hz; associated with speech-motor predictive coding) oscillations covary with trial-wise percent-correct scores; importantly, alpha and beta power provide significant independent contributions to predicting single-trial behavioral outcomes. Moreover, we observed large individual differences in the across-trial distribution of alpha and beta power as well as in the alpha-to-beta power ratio. This raises the possibility that listeners employed different task strategies: some may have relied heavily on focusing attention, while others on predictive coding. These results can inform models of speech processing and guide noninvasive measures to index different neural processes that together support complex listening. Copy rights belong to original authors. Visit the link for more info Podcast created by Paper Player, LLC

GOOD DAY! Join in to the reading and discussion of 1 Corinthians 14:1-40Peace and BlessingsSisterGGlenda Coker

--- Sermon delivered at Pilgrim Baptist Church on Sunday, July 3, 2022 at 6-15 pm. -----In this sermon on the King James Bible version issue, we look to show WHY the Scholarship onlyism movement is doctrinally wrong.--The bible cannot be viewed primarily as a linguistic book, but rather a supernatural book inspired, preserved, and authored by God Himself.--God supernaturally created ONE language that lasted until Genesis 11 at the tower of Babel. At the tower of Babel God confounded the language of all the earth and supernaturally created multiple languages. One reason the scholarship onlyism movement is wrong is because they remove the supernatural and replace it with human intelligibility and human reasoning. They cannot accept that by faith God preserved His word.--This sermon also explains in simple term why the 'est' and 'eth' ending is found in the King James Bible. It takes only 2 minutes to learn and children as young as 8 years old can understand it.--This sermon on scholarship-onlyism will explain the following-----Why Jesus asked Peter, Lovest thou me- instead of loved me----Why exhortation is important.---How to understand the word 'halt' without using another word to define it.---How to understand the word 'quick' without using another word to define it.---Why archaic words are actually easy to understand.---How your heart blocks your understanding of God's word.---- -- -- -- ----Jimmy Fortunato is the Pastor of Pilgrim Baptist Church located at 229 W. Jere Whitson Rd. Cookeville, TN 38501.--Pilgrim Baptist Church is a bible-believing, independent Baptist church that takes a strong stance on the authority of the King James Bible.

--- Sermon delivered at Pilgrim Baptist Church on Sunday, June 26, 2022 at 2-15 pm. -----Is KJV only-ism a fault or transgression---Is KJV only-ism an untruth that Christians need to be rescued from---OR...Is KJV only-ism just a form of 'spiritual name-calling' aimed at Bible Believers who simply believe that God's word is preserved in the King James Bible- --Find out the answer in this Bible lesson.--In today's world bible criticism is becoming much more prominent. One of the charges against Christians who believe the King James Bible is that edification requires intelligibility.--This argument comes from 1 Corinthians 14 and this sermon addresses this issue.--Another argument against King James Bible believers is that the KJB contains 'false friends'. If you've ever wondered what a false-friend is, you'll find out in this sermon.--An eye-opening sermon that will also put to rest the false idea that the King James Bible is written in Old English.--False-friends, dead words and edification requires intelligibility might sound 'spiritual' but they are really -words which man's wisdom teacheth.---God's word is NOT a linguistic book, it's a SPIRITUAL book. When we fail to recognize this, it's easy to fall into error.--The King James Bible does NOT need to be re-written. It's needs to be re-read.---- -- -- -- ----Jimmy Fortunato is the Pastor of Pilgrim Baptist Church located at 229 W. Jere Whitson Rd. Cookeville, TN 38501.--Pilgrim Baptist Church is a bible-believing, independent Baptist church that takes a strong stance on the authority of the King James Bible and the absolute necessity of public evangelism for true New Testament churches.

Why do we gather in the particular church groups that we do? Paul gives us one big reason today, listen in and learn! -- more from us at www.saarfellowship.com

Nick Day is joined on The HR L&D Podcast sofa by Eisha Karol, who is founder of PronounceMe, an award-winning business which provides highly tailored level of pronunciation training to address every aspect of language learning.Eisha explains why HR personnel need to consider intelligibility when attracting and developing talent.PronounceMe is an Oxford University Innovation business that began as a scribble on the back of an envelope in an Italian classroom and has now become a startup at Oxford University Innovation, working across several industries, with delegates from 11 different language backgrounds.With inclusivity and diversity at the heart of most HR agendas, it is surprising how often language is overlooked. However, Language is an expression of a person's culture, and learning a new language is a process of cultural interchange. Here in the UK, English-speaking teams form the backbone of almost every company. And yet, not everyone can hear and create the sounds of the English language, because they don't exist in other languages.Having supported leading brands including AXA, Amundi Asset Management and Rabobank (among others), I have invited Eisha to join me today to tell us more about her unique methodology which combines both academic research with theatre-based skills to deliver transformational training with lasting results for businesses.In this “Mastering English intelligibility in Business” episode with Eisha Karol on The HR L&D Podcast, we also explore:What do the words Human Resources mean to you?I never knew that English as a language was difficult to learn for others due to its many complex sounds, which are not found in other languages – can you tell us more about these?Can you tell us about the often-overlooked issue of intelligibility, especially in larger organisations and why a faster way to clear communication is important for business performance?So How is PronounceMe's training different from conventional language training such as IELTS (International English Language Testing System)?How did you come to develop the training programme in the way that you have?Why do you think HR personnel need to consider intelligibility in international staff?What other issues might international/relocated staff need support with apart from spoken English language training?Can you tell us more about your new PronounceMe signature programme – called "English Mastery for Global Professionals"?Links highlighted in this “Mastering English intelligibility in Business” episode are included below:Website: https://www.pronounceme.co.uk/Useful Resources: https://www.pronounceme.co.uk/resourcesCompanies who would like a free pronunciation assessment for their employees to sign up - go here:

On this ID the Future from the vault, Jay Richards and astrobiologist Guillermo Gonzalez discuss several discoveries made since 2004 supporting the conclusions of their 2004 book The Privileged Planet: How Our Place in the Cosmos Is Designed for Discovery.Gonzalez and Richards show how the book's thesis — that conditions for life and scientific discovery meet on Earth to a fine-tuned degree that strongly points toward design — has been confirmed multiple times. Source

A political poem

In this episode, we talk with Sofia Jeppsson about why we should not take mental illness to function as an exemption from moral responsibility and why we shouldn't take what P. F. Strawson called the “objective stance” towards those who are mentally ill.Sofia's departmental website: https://www.umu.se/en/staff/sofia-jeppsson/ Sofia's personal website: https://www.sofiajeppsson.com/Sofia's article, "Psychosis and Intelligibility": https://muse.jhu.edu/article/806103Twitter: https://twitter.com/thefreewillshowInstagram: https://www.instagram.com/thefreewillshow/?hl=enFacebook: https://www.facebook.com/The-Free-Will-Show-105535031200408/

Pastor Josh finished Chapter 14 of 1 Corinthians, covering verses 6-40. Get your Bibles out and follow along. (Links for songs played during service are as follows: 1. https://youtu.be/Dga4WDOtTfg 2. https://youtu.be/BppKOFLig2w 3. https://youtu.be/F2tKVqZZiI4 )

Pastor Josh's wife Julaine preached this past week on 1 Corinthians 14 verses 1-5. Julaine was joined by our sister in Christ Nicole in the pulpit. Get your Bibles out and follow along.

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What are the differences between explainability, intelligibility, interpretability, and transparency in Responsible AI? What is human-centered machine learning? Should we be regulating machine learning transparency?    To answer these questions and more we welcome Dr. Jenn Wortman Vaughan to the show.   Jenn is a Senior Principal Researcher at Microsoft Research. She has been leading efforts at Microsoft around transparency, intelligibility, and explanation under the umbrella of Aether, their company-wide initiative focused on responsible AI. Jenn's research focuses broadly on the interaction between people and AI, with a passion for AI that augments, rather than replaces, human abilities.   Full show notes for this episode can be found at Radicalai.org.    If you enjoy this episode please make sure to subscribe, submit a rating and review, and connect with us on twitter at twitter.com/radicalaipod