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The Play-By-Play
Stephen A. Smith getting PAID, ESPN's CFP selection show debacle
Stephen A. Smith reportedly signs a five-year, $100 million extension with ESPN. Kirk Herbstreit appeared miserable on ESPN's College Football Playoff selection show. Netflix announces their NFL studio and booth lineup. Awful Announcing's Ben Axelrod and Brendon Kleen discuss these topics and more on the latest episode of The Play-By-Play.Time Stamps:-:54: Stephen A. Smith’s new contract with ESPN-19:20: ESPN’s College Football Playoff selection show-35:40: Netflix NFL crews announced-48:58: Juan Soto to the New York Mets-54:48: Timothée Chalamet on “College GameDay”You can subscribe to The Play-By-Play wherever podcasts are found. Please subscribe, rate and review!Download The Play-By-Play:Listen on AppleListen on SpotifyAwful Announcing on XAwful Announcing on FacebookAwful Announcing on InstagramAwful Announcing on ThreadsAwful Announcing on BlueSkyAwful Announcing on LinkedIn Hosted on Acast. See acast.com/privacy for more information.
The Movie Roulette Podcast
Out Of Context, Part 41 - What Matters Is That It Mattered
Send us a textWe wrote a movie! Jason Voorhees was traveling to see Allison’s yabbos. We aren’t sure of the distance. Gary Riley was in the movie, of course. Shrout was LIVID regarding the possibility that we might mix Halloween and Christmas in this movie. Jason got super hungry, like as hungry as four dudes. He had a craving for cow’s milk. He also asked for salt, so someone had to get it from the highest possible cabinet in the kitchen, at the very back, where it was totally out of reach. Andy was super into our movie, so naturally he fell asleep to it. Maybe he was just tired from trying to hide the baloney pony? Now, tart faces, take your Clark Bars and sit the hell down and listen to this episode!Support the showFollow Us Everywhere and Anywhere You Do You Social Medias Stuff: Instagram: https://www.instagram.com/themovieroulettepodcastTikTok:https://www.tiktok.com/@themovieroulettepodcastFacebook: https://www.facebook.com/themovieroulettepodcastYouTube: https://www.youtube.com/@TheMovieRoulettePodcast
Mindful Paths Podcast
How the US ELECTION Challenged Our Perception of Truth
In this episode of The Mindful Paths podcast, hosts Nick and Hari delve into the profound question: "What is truth?" Using the backdrop of the US election, they explore how personal beliefs, political narratives, and societal influences shape our understanding of reality. Through candid reflections and philosophical insights, they challenge the notion of absolute truth, unraveling the layers of perception that define how we view the world.From the relativity of scientific facts to the power of language in shaping political discourse, Nick and Hari unpack the complexities of navigating truth in a world rife with misinformation and bias. They draw from personal experiences, social experiments, and even Einstein’s theories to explore why truth feels more elusive than ever. Whether it's the role of hope, the danger of echo chambers, or the impact of herd mentality, this episode offers a deep dive into how we construct, defend, and adapt our truths.Tune in for a journey that will challenge your perspectives, inspire curiosity, and encourage you to question the narratives you hold dear. Connect with Nick Day on LinkedIn: https://www.linkedin.com/in/nickdayConnect with Hari Kalymnios on LinkedIn: https://www.linkedin.com/in/harikalymniosTransformational Coaching with Nick or Hari Enquiries: nick@t4mcoach.comVisit: https://harikalymnios.comNick Day's Other Podcasts:The HR L&D PodcastThe Payroll PodcastMental Health Disclaimer & Guidance: The content in this podcast is informational...(00:00) Introduction(00:22) How Upbringing Shapes Perception of Truth(03:00) Exploring Truth Through the US Election(08:23) Lies, Manipulation, and Personal Truths(10:21) Science and Relativity: Is Truth Always Relative?(12:37) Nietzsche’s Perspective: Facts vs. Interpretations(18:05) Challenging Essential Facts in Modern Culture(22:30) The Emotional and Cultural Impact on Truth(27:06) Does Universal Truth Even Exist?(29:36) Scientific Truth vs. Personal Truth(33:42) Herd Ment
CryptoSlate SlateCast
Jesse Glass explains Decide AI’s push for on-chain AI agents and privacy-first LLMs.
In a recent episode of the SlateCast, CryptoSlate’s Editor-in-Chief Liam “Akiba” Wright and CEO Nate Whitehill sat down with Jesse Glass, Lead AI Researcher at Decide AI. The conversation delved into Decide AI’s groundbreaking efforts to merge artificial intelligence (AI) with blockchain technology, focusing on privacy-preserving identity verification, the role of decentralized AI in advancing AGI (artificial general intelligence), and the future of data ownership.Revolutionizing Identity VerificationJesse Glass opened the discussion by explaining Decide AI’s core mission: to create AI-driven applications that verify human identity without storing sensitive data on-chain. This approach enables "civil resistance" and ensures higher data quality while maintaining user privacy.“Decide AI is a set of AI applications and integrations for LLMs and identity. For ID, we use AI to verify that you're a human without storing that data on-chain,” said Glass.The system integrates with both blockchain and Web2 applications, offering a novel solution to data protection. With increasing scrutiny on how personal data is handled by centralized entities, Decide AI’s strategy could serve as a blueprint for privacy-first verification protocols.AI on the Blockchain: Challenges and PossibilitiesDeploying AI on-chain is a significant challenge, but one that Decide AI is actively addressing. Glass shared insights from his experience deploying GPT-2 on the Internet Computer (ICP) blockchain. He highlighted the technical hurdles posed by blockchain’s computational constraints, noting that traditional AI workflows rely on off-chain compute resources provided by large corporations.“When I experimented with deploying GPT-2 on the Internet Computer, it exposed how spoiled we’ve become outsourcing compute to megacorporations,” said Glass. “On-chain AI presents challenges like quantization, CPU cache vs. instructions, and WASM compilation, which requires optimized data structures.”Glass’s perspecti
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