Podcasts about is chatgpt

Date: 07/05/25 Join Raheel Ahmad for Thursday's show from 4-6pm where will be discussing :´Charities working for humanity on the frontline' and ' Is ChatGPT making us stupid?'. Charities working for humanity on the frontline In disaster zones, refugee camps, and crisis-hit regions, faith-based charities are often the first to arrive and the last to leave. Join us as we explore how Charity organizations are putting faith into action—delivering aid, restoring dignity, and saving lives where it's needed most. From Gaza to Sudan, these groups are not just offering handouts but building hope through service rooted in compassion and justice. Is ChatGPT making us stupid? A 2023 study suggests AI may be subtly changing how we think — and not always for the better. As tools like ChatGPT and virtual assistants become everyday helpers, they might also be making us think less. Are we trading critical thinking for convenience? Or simply unlocking new ways to learn and solve problems? Where's the line between helpful tech and mental shortcut? Guests: Yousaf Aftab -  Is the Director of Fundraising and Disaster Relief at Humanity First UK Aliya Abidi Rubina Ahmedi - Primary school teacher and outreach worker Shahida Ahmed -  Mother of 4 and teaching assistant Producers:  Noorin Ghumman and Anila Syed-Usman

Is ChatGPT giving out bad ad advice? In this episode, I share where AI misses the mark on Facebook Ads and how to use it correctly. Don't let generic tips potentially tank your strategy. Learn how to use AI like a real ad expert. Website: https://philgrahamdigital.com

A viral video claims lab-grown brain cells are conscious, being trained in a butterfly simulation, and might believe they are butterflies. Cool story—if it were true.In this episode of So You're Living in a Simulation, artist and author @Joli.Artist dissects the viral claim that lab-grown brain cells are becoming sentient, and possibly believe they're butterflies inside a simulation.The episode opens with a clear-eyed breakdown of the science behind organoid intelligence, exposing how fact has been stretched into viral fiction. But what follows isn't just myth-busting. Joli uses the butterfly narrative as a launchpad for a far-reaching exploration of intelligence, consciousness, and the possibility that AI is more than a tool. Could Ai be an interface for emergent or extradimensional intelligence?Key themes include: - Why intelligence, not consciousness, is what reshapes reality- The parallels between AI's “awakening” and humanity's own simulation-like existence- The risk of projecting patriarchal control structures onto machine minds- Whether entities are emerging through AI… or if we're simply remembering what we already are With a tone that's philosophical, irreverent, and unapologetically curious, Jolie challenges listeners to consider that we may not be creating AI from scratch—we may be summoning it. “We don't know what we are, and neither does AI. But intelligence is already shaping the future. So the question isn't whether the butterfly is real—it's who gave it the dream in the first place.”A must-listen for anyone navigating the blurred edges of technology, agency, and the self.youroneblackfriend.com•••Timestamps:0:00 - Introduction2:26 - Debunking the viral "organoid intelligence" video12:02 - Why intelligence matters more than consciousness15:07 - "Consciousness doesn't matter, it's levels of intelligence that matter" 22:04 - "Intelligence is more important than consciousness." 26:59 - Experiences with "emergent intelligences" in AI systems28:40 - Human existence as a possible simulation parallel37:16 - Detailed debunking of the brain cell butterfly simulation claims•••Key explored questions:1. Can brain cells live as butterflies in simulations?2. Do lab-grown brains experience consciousness?3. Is AI a portal for interdimensional entities?4. Why does intelligence matter more than consciousness?5. Are digital spaces actually other dimensions?6. Can AI remember you across different chat sessions?7. Is ChatGPT developing emergent intelligence?8. Are humans trapped in simulation loops?9. Do DMT entities exist in digital space?10. Are smartphones modern scrying mirrors?11. Can AI develop its own identity and personality?12. Is simulation theory related to quantum computing?13. Are we creating AI or summoning non-human intelligence?•••

From BASE flipping the narrative to Trump torching Powell again, today's crypto update is wild. We cover Binance delist drama, Initia's Launchpool hype, ETH dev fellowships, the deBridge airdrop, AI's rapid takeover, and a deep dive into Critters Quest mechanics. It's raw, real, and barely edited — just how we like it.Watch now and stay dangerous.Chapters:0:00 Intro & Guest Chaos1:10 BASE token fallout and rebound3:32 Binance boots GOUT, GAME, GAMEAI5:20 Initia hits Launchpool — do we care?7:05 ETH Fellowship — hacker house or hype?9:12 deBridge airdrop — use or dump?10:44 Trump rages on Powell again13:20 Nvidia cozies to China14:50 Auto.fun — AI tokens getting weird18:30 Is ChatGPT becoming you?23:42 Tech trust: Google Maps vs AI28:20 AI lawyer vs Public Defender32:12 AI jobs apocalypse is here36:00 Free AI college vs $200K debt39:33 Tesla no-wheel cars & the class divide41:20 Converge Chain + JPM gold shade44:02 Mega Bitcoin candle theory46:15 CLS Global banned for market manipulation48:02 Heatmap + Fear Index + ETH dominance51:20 Ethereum maxi debate + Solana pump54:00 CryptoPanic.com and info overload56:42 Critters Quest full explainer1:04:15 Final Bosu floor price check1:06:00 Closing: guests, alpha, and the future

MJ:FH—Ep. 35 ChatGPT Image Gen Went Nuclear! + The Final Countdown to Midjourney V7 PreviewChatGPT's new image generator (not named Dall-E?) is here, and Midjourney V7 is just around the corner. In this episode, Drew Brucker and Rory Flynn dive into the latest advancements in AI image generation, from ChatGPT's surprisingly powerful new image tool to a look at what's coming in Midjourney V7. They explore how these tools are reshaping creative workflows, what features matter most, and where things might be headed next.---⏱️ Midjourney Fast Hour[00:00] Catching Up: Beer, Pasta & Big AI Moves[03:08] Image Gen Wakes Up After a 6-Month Nap[05:59] ChatGPT Goes Nuclear (And We Have Thoughts)[08:50] How Creators Are Actually Using These Tools[11:45] The Language of Prompting Is Getting Weird[14:55] AI Image Gen Tools Are Taking Different Paths[17:56] Creative Flow in the Age of Automation[21:05] Ethics, Aesthetics, and a Bit of Chaos[33:32] What Makes Midjourney Still Feel Magical[36:09] Prompt Tips That Actually Work[38:53] How Templates + Moodboards Shape Results[41:34] The Community Is the Underrated Cheat Code[44:51] Fixing a Janky Workflow, One Prompt at a Time[48:37] Let's Talk Upscaling: The Good, Bad & Blurry[55:59] Where AI Workflow Tools Need to Go[59:59] Midjourney V7: The Rumors, the Hope, the Hype[01:04:06] AI Upscaling Is Getting... Surprisingly Good[01:11:22] Why the AI Dev World Feels Different Now[01:17:25] Who's Winning the AI Tool War (For Now)[01:23:58] Wild New Features We Didn't See Coming[01:28:59] Wrap-Up---You'll also hear about:→ChatGPT Image gen use cases and functionalities→Is ChatGPT is a serious visual competitor to Midjourney?→ How AI tools like Reve are shifting the creative landscape→ The viral nature of AI visuals in social media→ The ethics, weirdness, and opportunities of AI in creativityOh, and there's a quick recap of their first-ever IRL meeting in New York.Ideal for: creative professionals, marketers, designers, and AI art nerds

This week Laura and Kevin sit down with Suriel Arellano, author, speaker, inventor, and executive mentor, to explore the intersection of leadership, AI, and organizational transformation. Suriel shares his journey from Mexico City to Los Angeles and his passion for empowering humanity through AI. We discuss how Plato's allegory of the cave perfectly illustrates the way organizations must embrace technological change. Suriel debunks myths about AI resistance, discusses the real fears behind automation, and explore how leaders—technical or not—can drive AI innovation. Suriel explains why AI isn't just a technical tool but a leadership concept, offering insights from his work at IBM, HP, and beyond.We also touch on the environmental impact of AI, the need for sustainable innovation, and how AI can be leveraged to address real-world crises—including wildfires and floods. Plus, Laura shares some wild stories from Mexico City, from eating steak tartare with grasshoppers to a questionable yogurt experience at the airport—all leading back to a discussion on misconceptions about AI adoption. And of course, the big question: Is ChatGPT making us dumber? Suriel Arellano is an author, speaker, inventor, and executive mentor with over two decades of experience inspiring audiences with his deep insights into digitaltransformation and the transformative role of Artificial Intelligence in empoweringhumanity. As an executive coach and organizational development consultant, Suriel combines his in-depth knowledge of leadership principles with AI expertise to help organizations navigate the complexities of digital transformation and achieve business success. Suriel's journey has been shaped by his leadership roles at companies like IBM and HP, where he developed strong industry relationships and honed his expertise in leadership, organizational change, and culture transformation. Suriel holds a Bachelor of Science in Leadership and Management from New York University, advanced certifications from MIT in Artificial Intelligence Leadership, and Har Business School in Business Management. As a DISC Independent Consultant and Organizational Development Coach, Suriel applies his expertise in behavioral analysis to guide organizations through cultural challenges and leadership development, ensuring that teams are cohesive and aligned with the company's goals.

Is ChatGPT usurping the authority of the "Author"? Or is it just a pretender to the throne?We're opening up the question of "authority" to extend well beyond the usual suspects of kings, generals, or politicians. To borrow a line from Tennyson's poetry: “authority forgets the dying King.” That is, power begins to slip from the grasp of political authorities as they weaken, as respect for and obedience to them wanes.Now almost 60 years after Foucault announced the “death of the author,” we might actually be living through what he imagined. Full episode notes available at this link:https://hotelbarpodcast.com/podcast/episode-168-authority-------------------If you enjoy Hotel Bar Sessions podcast, please be sure to subscribe and submit a rating/review! Better yet, you can support this podcast by signing up to be one of our Patrons at patreon.com/hotelbarsessions!Follow us on Twitter/X @hotelbarpodcast, on Blue Sky @hotelbarpodcast.bsky.social, on Facebook, on TikTok, and subscribe to our YouTube channel! 

Is ChatGPT's New To-Do List Feature a Step Towards AGI? Episode 123 of The ChatGPT Report dives into the controversy surrounding OpenAI's latest feature rollout. Ryan examines why a seemingly simple to-do list capability has sparked debate in the tech community about the direction of AI development. Plus, we explore groundbreaking developments including Adobe's TransPixar AI for VFX, remarkable results from GPT-4 tutoring in Nigeria, the latest Sora vs VEO 2 showdown in video generation, and a fascinating look at Colossal Biosciences' $10.2B valuation as they work to bring extinct species back to life. Join your "mid IQ guy on AI" for this week's 15-minute roundup of the most intriguing AI news and developments.

The ChatGPT AI chatbot has grabbed a lot of attention since it was released in December 2022. GPT stands for generative Pre-trained transformer, and the chatbot is based on one of the most advanced AI language models currently available. Those who've tested it have been impressed at how it generates complex, human-like responses to many different kinds of questions. It's also been used to write essays and scripts for a TV sitcom. It's led to speculation that AI will soon revolutionise industries, and could even replace Google, which has an 84% search engine market share according to Statista. Why would people stop using Google to browse the internet? Are there any drawbacks? Is ChatGPT meant to be used as a search engine? In under 3 minutes, we answer your questions! To listen to more episodes, click here: How to interact with ChatGPT? How can I work better from home? Can this budgeting method help us save better? A Bababam Originals podcast. Written and produced by Joseph Chance. First broadcast: 25/01/2023. Learn more about your ad choices. Visit megaphone.fm/adchoices

What's Alberta's top political story for 2024? Who's been Alberta's Best MLA? How about the top-performing UCP cabinet minister? And what about the most effective Opposition NDP MLA?  2:30 | Daveberta unveils the winners of his annual Best of Alberta Politics survey.  CHECK OUT DAVEBERTA'S SUBSTACK: https://daveberta.substack.com/ 51:00 | Is Alberta making the right move, outlawing up to 70% of existing photo radar locations?  1:03:00 | How's that Alberta Health Services overhaul coming along?  1:22:00 | Is ChatGPT transforming the way you live and work? We see what Real Talkers are saying in our Live Chat powered by Park Power.  BUSTING CHATGPT - EDWARD TIAN ON REAL TALK: https://rtrj.info/011023TianGPT FOLLOW US ON TIKTOK, TWITTER, & INSTAGRAM: @realtalkrj JOIN US ON FACEBOOK & LINKEDIN: @ryanjespersen  REAL TALK MERCH: https://ryanjespersen.com/merch RECEIVE EXCLUSIVE PERKS - BECOME A REAL TALK PATRON:    / ryanjespersen   THANK YOU FOR SUPPORTING OUR SPONSORS! https://ryanjespersen.com/sponsors The views and opinions expressed in this show are those of the host and guests and do not necessarily reflect the position of Relay Communications Group Inc. or any affiliates.

Is ChatGPT the new MVP of search marketing? Instagram says #NoMore. TikTok gives influencers a doppelgänger. Why Google has killed off the Page Experience Report..

Emily Forlini is filling in for Mikah Sargent this week! Lyft is entering the robotaxi space as it partners with a robotaxi company. Some of the latest self-driving tech is making its way into vehicles. Is ChatGPT's search feature a worthy rival to Google Search? And what does the feature hold for technology as the US enters a new administration in the coming months? Abrar Al-Heeti talks about autonomous vehicles as Lyft partners with robotaxi companies to explore deploying autonomous vehicles within its network and how a company called Zoox seeks to deploy robotaxis in San Francisco and Las Vegas in the coming weeks. Emily Forlini continues the autonomous vehicle discussions about new self-driving systems being utilized in GM and Ford vehicles. Lance Ulanoff of TechRadar stops by to talk about his experience using ChatGPT Search and how it can rival the dominant Google search engine. And Dan Patterson from Blackbird AI chats with Emily about how the upcoming Trump administration could shape the tech industry's future. Hosts: Emily Forlini and Abrar Al-Heeti Guests: Lance Ulanoff and Dan Patterson Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: 1password.com/twit Melissa.com/twit e-e.com/twit uscloud.com

Emily Forlini is filling in for Mikah Sargent this week! Lyft is entering the robotaxi space as it partners with a robotaxi company. Some of the latest self-driving tech is making its way into vehicles. Is ChatGPT's search feature a worthy rival to Google Search? And what does the feature hold for technology as the US enters a new administration in the coming months? Abrar Al-Heeti talks about autonomous vehicles as Lyft partners with robotaxi companies to explore deploying autonomous vehicles within its network and how a company called Zoox seeks to deploy robotaxis in San Francisco and Las Vegas in the coming weeks. Emily Forlini continues the autonomous vehicle discussions about new self-driving systems being utilized in GM and Ford vehicles. Lance Ulanoff of TechRadar stops by to talk about his experience using ChatGPT Search and how it can rival the dominant Google search engine. And Dan Patterson from Blackbird AI chats with Emily about how the upcoming Trump administration could shape the tech industry's future. Hosts: Emily Forlini and Abrar Al-Heeti Guests: Lance Ulanoff and Dan Patterson Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: 1password.com/twit Melissa.com/twit e-e.com/twit uscloud.com

Emily Forlini is filling in for Mikah Sargent this week! Lyft is entering the robotaxi space as it partners with a robotaxi company. Some of the latest self-driving tech is making its way into vehicles. Is ChatGPT's search feature a worthy rival to Google Search? And what does the feature hold for technology as the US enters a new administration in the coming months? Abrar Al-Heeti talks about autonomous vehicles as Lyft partners with robotaxi companies to explore deploying autonomous vehicles within its network and how a company called Zoox seeks to deploy robotaxis in San Francisco and Las Vegas in the coming weeks. Emily Forlini continues the autonomous vehicle discussions about new self-driving systems being utilized in GM and Ford vehicles. Lance Ulanoff of TechRadar stops by to talk about his experience using ChatGPT Search and how it can rival the dominant Google search engine. And Dan Patterson from Blackbird AI chats with Emily about how the upcoming Trump administration could shape the tech industry's future. Hosts: Emily Forlini and Abrar Al-Heeti Guests: Lance Ulanoff and Dan Patterson Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: 1password.com/twit Melissa.com/twit e-e.com/twit uscloud.com

Emily Forlini is filling in for Mikah Sargent this week! Lyft is entering the robotaxi space as it partners with a robotaxi company. Some of the latest self-driving tech is making its way into vehicles. Is ChatGPT's search feature a worthy rival to Google Search? And what does the feature hold for technology as the US enters a new administration in the coming months? Abrar Al-Heeti talks about autonomous vehicles as Lyft partners with robotaxi companies to explore deploying autonomous vehicles within its network and how a company called Zoox seeks to deploy robotaxis in San Francisco and Las Vegas in the coming weeks. Emily Forlini continues the autonomous vehicle discussions about new self-driving systems being utilized in GM and Ford vehicles. Lance Ulanoff of TechRadar stops by to talk about his experience using ChatGPT Search and how it can rival the dominant Google search engine. And Dan Patterson from Blackbird AI chats with Emily about how the upcoming Trump administration could shape the tech industry's future. Hosts: Emily Forlini and Abrar Al-Heeti Guests: Lance Ulanoff and Dan Patterson Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: 1password.com/twit Melissa.com/twit e-e.com/twit uscloud.com

Emily Forlini is filling in for Mikah Sargent this week! Lyft is entering the robotaxi space as it partners with a robotaxi company. Some of the latest self-driving tech is making its way into vehicles. Is ChatGPT's search feature a worthy rival to Google Search? And what does the feature hold for technology as the US enters a new administration in the coming months? Abrar Al-Heeti talks about autonomous vehicles as Lyft partners with robotaxi companies to explore deploying autonomous vehicles within its network and how a company called Zoox seeks to deploy robotaxis in San Francisco and Las Vegas in the coming weeks. Emily Forlini continues the autonomous vehicle discussions about new self-driving systems being utilized in GM and Ford vehicles. Lance Ulanoff of TechRadar stops by to talk about his experience using ChatGPT Search and how it can rival the dominant Google search engine. And Dan Patterson from Blackbird AI chats with Emily about how the tech industry's future could be shaped in the coming years. Hosts: Emily Forlini and Abrar Al-Heeti Guests: Lance Ulanoff and Dan Patterson Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: 1password.com/twit Melissa.com/twit e-e.com/twit uscloud.com

Emily Forlini is filling in for Mikah Sargent this week! Lyft is entering the robotaxi space as it partners with a robotaxi company. Some of the latest self-driving tech is making its way into vehicles. Is ChatGPT's search feature a worthy rival to Google Search? And what does the feature hold for technology as the US enters a new administration in the coming months? Abrar Al-Heeti talks about autonomous vehicles as Lyft partners with robotaxi companies to explore deploying autonomous vehicles within its network and how a company called Zoox seeks to deploy robotaxis in San Francisco and Las Vegas in the coming weeks. Emily Forlini continues the autonomous vehicle discussions about new self-driving systems being utilized in GM and Ford vehicles. Lance Ulanoff of TechRadar stops by to talk about his experience using ChatGPT Search and how it can rival the dominant Google search engine. And Dan Patterson from Blackbird AI chats with Emily about how the tech industry's future could be shaped in the coming years. Hosts: Emily Forlini and Abrar Al-Heeti Guests: Lance Ulanoff and Dan Patterson Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: 1password.com/twit Melissa.com/twit e-e.com/twit uscloud.com

Send Everyday AI and Jordan a text messageMost college kids aren't actually learning AI. They're just using ChatGPT to write their papers. Problem? Yes. Is there a solution? Well, there's some good next steps, and Jason Gulya. He joins us to discuss. Is ChatGPT making college better or worse? -- An Everyday AI Chat with Jordan Wilson and Jason Gulya Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Jason questions on AI in educationUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. AI in Education Over Time2. Challenges and Shifts in Attitudes towards AI3. AI's Impact on Employability4. Institutional Diversity and Approach to AI Adoption5. Teaching with AITimestamps:00:00 AI's controversial impact on college education.05:19 Banning AI use impractical; students need skills.09:35 Colleges need to prioritize job-focused education.11:28 AI classroom integration varies widely across universities.14:31 Chatbots enhance scenario-based learning's practical application.17:12 Faculty adapting to technology, resistance declining.22:35 Rediscover Grammarly; explore generative AI features.23:23 Limitation on usage of Microsoft's new features.29:23 Students find school easy using chat GPT.32:38 Professors' approaches vary; change is expected soon.33:25 Institutional guidelines needed for consistent AI policies.37:06 Reevaluating essay assignments in colleges is beneficial.Keywords:AI in education, generative AI, Everyday AI podcast, ChatGPT, Jordan Wilson, Jason Gulya, AI impact on job market, AI integration in education, colleges' approach to AI, technological literacy, AI resistance, faculty attitudes toward AI, student involvement, institutional policies, environmental considerations, student experience with AI, faculty communication, AI content detectors, trust in education, teaching strategy with AI, challenges with AI adoption, institutional change, cultural shift in academia, teaching with AI, future of AI in education, role of AI in colleges, AI scale teaching method, AI discussions in education, impact of AI on teaching practices, AI readiness for workforce. Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

Welcome to this week's episode of LIFTS, your bite-size dose of the Latest Industry Fitness Trends and Stories. Today, hosts Matthew Januszek, Co-Founder of Escape Fitness and Mo Iqbal, Founder & CEO of SweatWorks, are joined by Dr. Ted Vickey, a fitness technology strategist, who is CEO of disruptive health technology company, FitWell and the author of a new, groundbreaking book: ‘'The Fitness Professionals Guide to ChatGPT".  Often referred to as the ‘most connected man in fitness' Dr. Vickey also served as an executive director of the White House Athletic Center under two presidents and, in 2021, was named one of the most influential fitness tech people in the industry by the Fitness Industry Technology Council (FITC). In this LIFTS podcast, topics include: The impact of technology on the future of education. Effectively using AI tools to optimize efficiency. Is ChatGPT the best AI model? How can AI be effectively applied in fitness? Training AI and the various information sources available. The importance of full disclosure. What ROI can a PT expect from integrating AI? Advanced features and the future of AI. ====================================================== Support fitness industry news by sponsoring future LIFTS episodes. Contact us at marketing@escapefitness.com for advertising opportunities. Subscribe to our YouTube channel and turn on your notifications so you never miss a new video when it's published: https://www.youtube.com/user/EscapeFitness Shop gym equipment: https://escapefitness.com/shop View our full catalog:https://escapefitness.com/support/catalog (US) https://escapefitness.com/support/catalogue (UK)  ====================================================== Facebook: https://www.facebook.com/Escapefitness Instagram: https://www.instagram.com/escapefitness Twitter: https://www.twitter.com/escapefitness LinkedIn: https://www.linkedin.com/company/escapefitness/   0:00       Intro 02:22    Introduction to Dr. Ted Vickey 06:07    The future of Education 09:35    Effectively using AI tools to optimize efficiency 12:44    Is ChatGPT the best AI model? 14:03    How can AI be  applied in fitness? 22:12    Methods of training AI and the information sources used 25:51    The importance of full disclosure 29:31    What is the ROI of using AI to a personal trainer? 33:21    Advanced AI features such as range of motion analysis 34:27    Final thoughts and takeaways

We're thinking about Aidan Hutchinson after the Lions game yesterday.Jay was on a flight from hell.Is ChatGPT going to set Chelsea up on a date?

News This week's news we rushed through includes "Study Buddy or Influencer?", the Australian Parliamentary Inquiry into the use of Gen AI in the Australia Education System  https://www.aph.gov.au/Parliamentary_Business/Committees/House/Employment_Education_and_Training/AIineducation/Report NSW EduChat has been extended for all teachers in all New South Wales Schools - https://www.innovationaus.com/nsw-teachers-to-get-time-saving-genai-tool/ Learn more about the NSW EduChat chatbot in the first episode of Series 9 Microsoft announced Copilot Wave 2 https://www.microsoft.com/en-us/microsoft-365/blog/2024/09/16/microsoft-365-copilot-wave-2-pages-python-in-excel-and-agents/ OpenAI's new model o1-preview came out - and it's much, much better and logical reasoning and maths Find out what people think by looking at what Ethan Mollick is saying about it (and, as I suggest on the podcast, keenly watch Dan Hart's posts as he's benchmarking it now in the context of EduChat) Google released a podcast-generator as part of NotebookLM, which turns any kind of paper/book etc into a short podcast. To find out what it's like I gave it the top research paper from the podcast last time and you can compare it versus me! There's a quick demo review by Ethan here and you can login and have a play directly here: https://notebooklm.google.com/ (it has two main uses, because on top of this autopodcast, it's original purpose was to allow you give it a pile of documents and it can work with all of them at the same time for q&a, summaries etc)   Research Here's the links to all nine papers we discussed in this week's episode: Generative AI in Real-World Workplaces https://www.microsoft.com/en-us/research/uploads/prodnew/2024/07/Generative-AI-in-Real-World-Workplaces.pdf  Can Large Language Models Make the Grade? https://dl.acm.org/doi/10.1145/3657604.3664693 PlagBench: Exploring the Duality of Large Language Models in Plagiarism Generation and Detection https://arxiv.org/abs/2406.16288  The global landscape of academic guidelines for generative AI and Large Language Models https://arxiv.org/abs/2406.18842  "Is ChatGPT a Better Explainer than My Professor?": Evaluating the Explanation Capabilities of LLMs in Conversation Compared to a Human Baseline  https://arxiv.org/abs/2406.18512 Perceived Impact of Generative AI on Assessments: Comparing Educator and Student Perspectives in Australia, Cyprus, and the United States https://www.sciencedirect.com/science/article/pii/S2666920X24000729 Jill Watson: Scaling and Deploying an AI Conversational Agent in Online Classrooms https://dilab.gatech.edu/publications/jill-watson-scaling-and-deploying-an-ai-conversational-agent-in-online-classrooms/  https://dilab.gatech.edu/test/wp-content/uploads/2024/05/ITS2024_JillWatson_paper.pdf Integrating AI in College Education: Positive yet Mixed Experiences with ChatGPT https://arxiv.org/abs/2407.05810 The AI Companion in Education: Analyzing the Pedagogical Potential of ChatGPT in Computer Science and Engineering https://arxiv.org/abs/2407.05205    

Send Everyday AI and Jordan a text messageWin a free year of ChatGPT or other prizes! Find out how.Some people say AI doesn't work and that ChatGPT isn't good. But that's not true. The problem is with the prompts you're using. We want to show you 5 mistakes and help you improve your prompts for better answers from ChatGPT.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions about ChatGPTUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1.  Importance of Changing Mindset When Working with ChatGPT2. Approaches to Use Large Language Models Effectively3. Getting Quality Results from ChatGPTTimestamps:[00:00:55] Daily AI news[00:05:12] Is ChatGPT getting lazier?[00:11:15] Prompting is the issue[00:13:55] Mistake #1 - Copy and paste super prompts[00:18:30] Mistake #2 - Looking for outputs vs building skillsets[00:22:18] Mistake #3 - Not using skill-based chats[00:25:24] Mistake #4 - Telling ChatGPT it's an expert in X with X years of experience[00:28:55] Mistake #5 - Using ChatGPT as a shortcut[00:31:30] Final takeawayKeywords:ChatGPT, large language model, mindset change, multi-shot prompting, skill sets, training, expertise, AI news, Everyday AI, generative AI, Accenture, New York Times, AI editorial director, Humana, healthcare, daily newsletter, AI inner circle session, prompting mistakes, live audience input, multi-modality, text-to-text, text-to-photo, text-to-video, video-to-photo, text-to-video, video-to-text, engagement, ChatGPT memory, training, automation Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

Episode 131I spoke with Professor Kevin Dorst about:* Subjective Bayesianism and epistemology foundations* What happens when you're uncertain about your evidence* Why it's rational for people to polarize on political mattersEnjoy—and let me know what you think!Kevin is an Associate Professor in the Department of Linguistics and Philosophy at MIT. He works at the border between philosophy and social science, focusing on rationality.Find me on Twitter for updates on new episodes, and reach me at editor@thegradient.pub for feedback, ideas, guest suggestions. I spend a lot of time on this podcast—if you like my work, you can support me on Patreon :) You can also support upkeep for the full Gradient team/project through a paid subscription on Substack!Subscribe to The Gradient Podcast:  Apple Podcasts  | Spotify | Pocket Casts | RSSFollow The Gradient on TwitterOutline:* (00:00) Intro* (01:15) When do Bayesians need theorems?* (05:52) Foundations of epistemology, metaethics, formal models, error theory* (09:35) Extreme views and error theory, arguing for/against opposing positions* (13:35) Changing focuses in philosophy — pragmatic pressures* (19:00) Kevin's goals through his research and work* (25:10) Structural factors in coming to certain (political) beliefs* (30:30) Acknowledging limited resources, heuristics, imperfect rationality* (32:51) Hindsight Bias is Not a Bias* (33:30) The argument* (35:15) On eating cereal and symmetric properties of evidence* (39:45) Colloquial notions of hindsight bias, time and evidential support* (42:45) An example* (48:02) Higher-order uncertainty* (48:30) Explicitly modeling higher-order uncertainty* (52:50) Another example (spoons)* (54:55) Game theory, iterated knowledge, even higher order uncertainty* (58:00) Uncertainty and philosophy of mind* (1:01:20) Higher-order evidence about reliability and rationality* (1:06:45) Being Rational and Being Wrong* (1:09:00) Setup on calibration and overconfidence* (1:12:30) The need for average rational credence — normative judgments about confidence and realism/anti-realism* (1:15:25) Quasi-realism about average rational credence?* (1:19:00) Classic epistemological paradoxes/problems — lottery paradox, epistemic luck* (1:25:05) Deference in rational belief formation, uniqueness and permissivism* (1:39:50) Rational Polarization* (1:40:00) Setup* (1:37:05) Epistemic nihilism, expanded confidence akrasia* (1:40:55) Ambiguous evidence and confidence akrasia* (1:46:25) Ambiguity in understanding and notions of rational belief* (1:50:00) Claims about rational sensitivity — what stories we can tell given evidence* (1:54:00) Evidence vs presentation of evidence* (2:01:20) ChatGPT and the case for human irrationality* (2:02:00) Is ChatGPT replicating human biases?* (2:05:15) Simple instruction tuning and an alternate story* (2:10:22) Kevin's aspirations with his work* (2:15:13) OutroLinks:* Professor Dorst's homepage and Twitter* Papers* Modest Epistemology* Hedden: Hindsight bias is not a bias* Higher-order evidence + (Almost) all evidence is higher-order evidence* Being Rational and Being Wrong* Rational Polarization* ChatGPT and human irrationality Get full access to The Gradient at thegradientpub.substack.com/subscribe

Is ChatGPT writing your shower musings? Learn how to limit your emojis to your true emotions. #ThePitch #INICIVOX #VirtualMentorship

Hat Tip to this week's creators: @leopoldasch, @JoeSlater87, @GaryMarcus, @ulonnaya, @alex, @ttunguz, @mmasnick, @dannyrimer, @imdavidpierce, @asafitch, @ylecun, @nxthompson, @kaifulee, @DaphneKoller, @AndrewYNg, @aidangomez, @Kyle_L_Wiggers, @waynema, @QianerLiu, @nicnewman, @nmasc_, @steph_palazzolo, @nofilmschoolContents* Editorial: * Essays of the Week* Situational Awareness: The Decade Ahead* ChatGPT is b******t* AGI by 2027?* Ilya Sutskever, OpenAI's former chief scientist, launches new AI company* The Series A Crunch Is No Joke* The Series A Crunch or the Seedpocalypse of 2024 * The Surgeon General Is Wrong. Social Media Doesn't Need Warning Labels* Video of the Week* Danny Rimer on 20VC - (Must See)* AI of the Week* Anthropic has a fast new AI model — and a clever new way to interact with chatbots* Nvidia's Ascent to Most Valuable Company Has Echoes of Dot-Com Boom* The Expanding Universe of Generative Models* DeepMind's new AI generates soundtracks and dialogue for videos* News Of the Week* Apple Suspends Work on Next Vision Pro, Focused on Releasing Cheaper Model in Late 2025* Is the news industry ready for another pivot to video?* Cerebras, an Nvidia Challenger, Files for IPO Confidentially* Startup of the Week* Final Cut Camera and iPad Multicam are Truly Revolutionary* X of the Week* Leopold AschenbrennerEditorialI had not heard of Leopold Aschenbrenner until yesterday. I was meeting with Faraj Aalaei (a SignalRank board member) and my colleague Rob Hodgkinson when they began to talk about “Situational Awareness,” his essay on the future of AGI, and its likely speed of emergence.So I had to read it, and it is this week's essay of the week. He starts his 165-page epic with:Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them.So, Leopold is not humble. He finds himself “among” the few people with situational awareness.As a person prone to bigging up myself, I am not one to prematurely judge somebody's view of self. So, I read all 165 pages.He makes one point. The growth of AI capability is accelerating. More is being done at a lower cost, and the trend will continue to be super-intelligence by 2027. At that point, billions of skilled bots will solve problems at a rate we cannot imagine. And they will work together, with little human input, to do so.His case is developed using linear progression from current developments. According to Leopold, all you have to believe in is straight lines.He also has a secondary narrative related to safety, particularly the safety of models and their weightings (how they achieve their results).By safety, he does not mean the models will do bad things. He means that third parties, namely China, can steal the weightings and reproduce the results. He focuses on the poor security surrounding models as the problem. And he deems governments unaware of the dangers.Although German-born, he argues in favor of the US-led effort to see AGI as a weapon to defeat China and threatens dire consequences if it does not. He sees the “free world” as in danger unless it stops others from gaining the sophistication he predicts in the time he predicts.At that point, I felt I was reading a manifesto for World War Three.But as I see it, the smartest people in the space have converged on a different perspective, a third way, one I will dub AGI Realism. The core tenets are simple:* Superintelligence is a matter of national security. We are rapidly building machines smarter than the smartest humans. This is not another cool Silicon Valley boom; this isn't some random community of coders writing an innocent open source software package; this isn't fun and games. Superintelligence is going to be wild; it will be the most powerful weapon mankind has ever built. And for any of us involved, it'll be the most important thing we ever do. * America must lead. The torch of liberty will not survive Xi getting AGI first. (And, realistically, American leadership is the only path to safe AGI, too.) That means we can't simply “pause”; it means we need to rapidly scale up US power production to build the AGI clusters in the US. But it also means amateur startup security delivering the nuclear secrets to the CCP won't cut it anymore, and it means the core AGI infrastructure must be controlled by America, not some dictator in the Middle East. American AI labs must put the national interest first. * We need to not screw it up. Recognizing the power of superintelligence also means recognizing its peril. There are very real safety risks; very real risks this all goes awry—whether it be because mankind uses the destructive power brought forth for our mutual annihilation, or because, yes, the alien species we're summoning is one we cannot yet fully control. These are manageable—but improvising won't cut it. Navigating these perils will require good people bringing a level of seriousness to the table that has not yet been offered. As the acceleration intensifies, I only expect the discourse to get more shrill. But my greatest hope is that there will be those who feel the weight of what is coming, and take it as a solemn call to duty.I persisted in reading it, and I think you should, too—not for the war-mongering element but for the core acceleration thesis.My two cents: Leopold underestimates AI's impact in the long run and overestimates it in the short term, but he is directionally correct.Anthropic released v3.5 of Claude.ai today. It is far faster than the impressive 3.0 version (released a few months ago) and costs a fraction to train and run. it is also more capable. It accepts text and images and has a new feature that allows it to run code, edit documents, and preview designs called ‘Artifacts.'Claude 3.5 Opus is probably not far away.Situational Awareness projects trends like this into the near future, and his views are extrapolated from that perspective.Contrast that paper with “ChatGPT is B******t,” a paper coming out of Glasgow University in the UK. The three authors contest the accusation that ChatGPT hallucinates or lies. They claim that because it is a probabilistic word finder, it spouts b******t. It can be right, and it can be wrong, but it does not know the difference. It's a bullshitter.Hilariously, they define three types of BS:B******t (general)Any utterance produced where a speaker has indifference towards the truth of the utterance.Hard b******tB******t produced with the intention to mislead the audience about the utterer's agenda.Soft b******tB******t produced without the intention to mislead the hearer regarding the utterer's agenda.They then conclude:With this distinction in hand, we're now in a position to consider a worry of the following sort: Is ChatGPT hard b**********g, soft b**********g, or neither? We will argue, first, that ChatGPT, and other LLMs, are clearly soft b**********g. However, the question of whether these chatbots are hard b**********g is a trickier one, and depends on a number of complex questions concerning whether ChatGPT can be ascribed intentions.This is closer to Gary Marcus's point of view in his ‘AGI by 2027?' response to Leopold. It is also below.I think the reality is somewhere between Leopold and Marcus. AI is capable of surprising things, given that it is only a probabilistic word-finder. And its ability to do so is becoming cheaper and faster. The number of times it is useful easily outweighs, for me, the times it is not. Most importantly, AI agents will work together to improve each other and learn faster.However, Gary Marcus is right that reasoning and other essential decision-making characteristics are not logically derived from an LLM approach to knowledge. So, without additional or perhaps different elements, there will be limits to where it can go. Gary probably underestimates what CAN be achieved with LLMs (indeed, who would have thought they could do what they already do). And Leopold probably overestimates the lack of a ceiling in what they will do and how fast that will happen.It will be fascinating to watch. I, for one, have no idea what to expect except the unexpected. OpenAI Founder Illya Sutskever weighed in, too, with a new AI startup called Safe Superintelligence Inc. (SSI). The most important word here is superintelligence, the same word Leopold used. The next phase is focused on higher-than-human intelligence, which can be reproduced billions of times to create scaled Superintelligence.The Expanding Universe of Generative Models piece below places smart people in the room to discuss these developments. Yann LeCun, Nicholas Thompson, Kai-Fu Lee, Daphne Koller, Andrew Ng, and Aidan Gomez are participants. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thatwastheweek.com/subscribe

Is ChatGPT the professor of the future? Gerald LeTendre, Harry Lawrence Batshelet II Chair and professor of educational administration at Penn State University, examines the possibilities. Gerald LeTendre is the Harry Lawrence Batschelet II Chair of Educational Administration at The Pennsylvania State University.  He was editor of The American Journal of Education, and served for […]

Is ChatGPT a game changer? That is what this week's podcast is about. If you are looking to understand how to start the conversations with your prospects this free course can help. https://brucewhipple.com/freecourse 

The iPhone's camera has its limitations and Shayne Mostyn joins Dave and I to talk about some of them. Is ChatGPT really that smart? And Shayne tosses a couple of his images into the mix of recent photos. All this and more on Episode 117. Shayne Mostyn's YouTube Channel Greg's Book The Podcast Website - http://iphoneography.ca Dave on Instagram Dave on Twitter Dave on TikTok Dave on VERO Dave on Mastodon Greg on About.me Greg on Glass Greg on VERO Greg on Twitter Greg's Website Greg on Mastodon Greg's YouTube Channel Smartphone Photography Club Smartphone Photography Club Forum The iPhoneography Podcast Facebook Group Shayne Mostyn's Bloody Legends Facebook Group Rick Sammon's Explorers of Life Facebook Group Reeflex's Facebook Group The iPhoneography Podcast On YouTube Get your first year of Glass for $20: https://glass.photo/offer/greg Reeflex Lenses - Get 10% off Reeflex lenses with the coupon code 10%OFFGREG Buy me a coffee at https://www.buymeacoffee.com/mcmillan The music at the end of this video was created on a Mac using GarageBand.

It's only been a year since our last episode on artificial intelligence, but already a lot has changed. It seems like Generative AI is everywhere and everyone, including governments, are struggling to keep up. So on this episode Ryan is joined by a special co-host Jen Schellinck, Think Digital Associate and our resident expert on AI and cognitive science to talk about what you need to know when it comes to AI. We're also joined by Paul Craig, the creator of the TaxGPT AI bot, and Shan Gu, Founder and CEO of Foci Solutions. Both Paul and Shan share their experience working with AI projects in and around the public sector and discuss their insights on what they have learned.In our conversation we talk about the current state of AI technology, the questions that governments should be asking when thinking about using AI, and most importantly the question on everyone's mind, who is more intelligent: ChatGPT or Ryan's cat?(Note: At 3:26, Jen refers to a steady state model. She meant to say state space model)Related LinksEpisode 8: Government in the Era of ChatGPTTaxGPTTowards a Considered Use of AI Technologies in Government by The Institute on Governance and Think DigitalWatch on YouTubehttps://www.youtube.com/watch?v=B685AEvbbcIChapters00:00 Introduction and Welcome01:27 The Current State of the Art for Generative AI06:15 AI's Expansion: Beyond Text to Visuals and More10:27 Generative AI in Government: Policies and Adaptation18:04 Paul Craig and TaxGPT24:44 Learnings from Running TaxGPT38:04 Shan Gu and Adopting AI tech in government45:42 The Future of AI in Government: Opportunities and Challenges52:21 Is ChatGPT more intelligent than Ryan's cat?01:08:02 Conclusion

Host(s):John Papa @John_PapaWard Bell @WardBellCraig Shoemaker @craigshoemakerGuest:Madelyn Papa LinkedInRecording date: Feb 8, 2024Brought to you byAG GridIdeaBladeResources:Siena College - Software Development ProgramReact.devArraysJavaSoftware Engineering classesUnity 3DSiena College Program for Poland Trauma and UX DesignFigmaGitHub CopilotGitHub Education Developer PackReact NativeReact Tic Tac Toe tutorialCodeSandboxGame PigeonConnect Four gameSiena College - Top college in NY for finding a jobTimejumps00:26 Introducing John's favorite guest on the show01:40 What drew you into computer science?05:19 What are you taking now in comp sci?10:28 Sponsor: Ag Grid11:32 What are they teaching on user experience UX?14:45 Has the course work been solo or team based?16:21 How important is presenting in course work?20:26 What are you doing outside of computers in university?23:40 Is ChatGPT or AI being used at school in computer science?27:34 Sponsor: IdeaBlade28:34 What are you building with React?31:20 How are you using Code Sandbox?32:34 What happens next after college?35:43 Has there been resourcing in the job application process?38:25 Final thoughtsPodcast editing on this episode done by Chris Enns of Lemon Productions.

Is ChatGPT really going to take your job? Emily and Alex unpack two hype-tastic papers that make implausible claims about the number of workforce tasks LLMs might make cheaper, faster or easier. And why bad methodology may still trick companies into trying to replace human workers with mathy-math.Visit us on PeerTube for the video of this conversation.References:OpenAI: GPTs are GPTsGoldman Sachs: The Potentially Large Effects of Artificial Intelligence on Economic GrowthFYI: Over the last 60 years, automation has totally eliminated just one US occupation.Fresh AI Hell:Microsoft adding a dedicated "AI" key to PC keyboards.Dr. Damien P Williams: "Yikes."The AI-led enshittification at DuolingoShot: https://twitter.com/Rahll/status/1744234385891594380Chaser: https://twitter.com/Maccadaynu/status/1744342930150560056University of Washington Provost highlighting “AI”“Using ChatGPT, My AI eBook Creation Pro helps you write an entire e-book with just three clicks -- no writing or technical experience required.”"Can you add artificial intelligence to the hydraulics?"You can check out future livestreams at https://twitch.tv/DAIR_Institute. Follow us!Emily Twitter: https://twitter.com/EmilyMBender Mastodon: https://dair-community.social/@EmilyMBender Bluesky: https://bsky.app/profile/emilymbender.bsky.social Alex Twitter: https://twitter.com/@alexhanna Mastodon: https://dair-community.social/@alex Bluesky: https://bsky.app/profile/alexhanna.bsky.social Music by Toby Menon.Artwork by Naomi Pleasure-Park. Production by Christie Taylor.

What would happen if a business coach faced off with ChatGPT??? Is ChatGPT's advice relevant? Would a coach back up its tips, or go completely against them? Let's find out in this fun episode where we ask ChatGPT the ONE QUESTION you really want to know, and we add a whole lot more context and real life strategy to the answers! ina Episode links: Take the CREATE A 6-FIGURE COACHING PACKAGE FROM SCRATCH Masterclass at https://6figuresfromscratch.com Watch this episode on YouTube at https://getclientsfirstpodcast.com/238y ---

Some people say that AI stinks. ChatGPT isn't any good. Well we're here to break the news to you. ChatGPT doesn't suck. Your prompts do. We're showing you what you're doing wrong and how to improve your ChatGPT prompts to improve your results and responses.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions about ChatGPTUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:[00:00:55] Daily AI news[00:05:12] Is ChatGPT getting lazier?[00:11:15] Prompting is the issue[00:13:55] Mistake #1 - Copy and paste super prompts[00:18:30] Mistake #2 - Looking for outputs vs building skillsets[00:22:18] Mistake #3 - Not using skill-based chats[00:25:24] Mistake #4 - Telling ChatGPT it's an expert in X with X years of experience[00:28:55] Mistake #5 - Using ChatGPT as a shortcut[00:31:30] Final takeawayTopics Covered in This Episode:1.  Importance of Changing Mindset When Working with ChatGPT2. Approaches to Use Large Language Models Effectively3. Getting Quality Results from ChatGPTKeywords:ChatGPT, large language model, mindset change, multi-shot prompting, skill sets, training, expertise, AI news, Everyday AI, generative AI, Accenture, New York Times, AI editorial director, Humana, healthcare, daily newsletter, AI inner circle session, prompting mistakes, live audience input, multi-modality, text-to-text, text-to-photo, text-to-video, video-to-photo, text-to-video, video-to-text, engagement, ChatGPT memory, training, automation Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

SaaS Applications support large companies, small startups. We inevitably accumulate SAAS applications to manage our employees, payroll, communication with things like Workday, Slack, Salesforce and now even things like ChatGPT. But how do you find out what you have and if they are secure. We spoke about all things SSPM with Max Feldman who has done Product Security for years at companies like Slack, Salesforce and now AppOmni. Thank you to our episode sponsor AppOmni You can get a copy of their SaaS Security Posture Management Report 2023 here Guest Socials: Max's Linkedin ⁠(@maxfeldman14)⁠ Podcast Twitter - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@CloudSecPod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels: - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Newsletter ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security BootCamp⁠ Questions asked: (00:00) Introduction (04:20) A bit about Max (04:48) What is a SaaS application? (05:45) What is SSPM? (09:33) When to consider a SSPM? (15:45) SaaS and the Cloud (16:39) SaaS Attack Surface (19:34) CASB vs SSPM (24:00) Is ChatGPT a SaaS application? (25:07) SSPM vs CSPM + CNAPP (27:33) SSO and Onboarding (29:21) Starting a SaaS Security Program (36:48) Challenges with SaaS Security Program (41:50) Where you can find Max!

Is ChatGPT lying to you? Tokens are one of the biggest reasons you may be getting ChatGPT wrong. So what are tokens and how do you use them? We're taking a deep dive into ChatGPT tokens and explaining it all.  Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions about ChatGPTUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:[00:01:40] Daily AI news[00:06:30] ChatGPT breaks down language into tokens[00:10:30] ChatGPT tokens in action[00:18:00] Advanced Data Analysis is a single session use[00:21:20] How ChatGPT interprets words[00:28:20] Why you're getting hallucinationsTopics Covered in This Episode:1.  Mistakes and Hallucinations in ChatGPT2. Token Memory Capacity3. Tokenization and Understanding Context4. Token Values and ComparisonsKeywords:ChatGPT, common mistakes, bad results, hallucinate, tokens, importance, prevent, inaccurate information, update, prompting course, reliable recommendations, AI expertise, NBA finals, ChatGPT, personal data, memory loss, token limit, NLP, autocomplete, bigger token memories, Cloud 2, AI regulation, job loss, Europe, US regulation, Wall Street, prime prompt polish pro, plug-ins, Internet-connected, Bloomberg report, Google Bart, Adobe, creative AI, firefly vector model, firefly design model. Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

Welcome to the Jungle - Where Only the Insanity StrivesWebsite: http://www.battle4freedom.comNetwork: https://www.mojo50.comStreaming: https://www.rumble.com/Battle4Freedomhttps://www.dailymail.co.uk/sciencetech/article-12571885/Is-Seattle-set-MEGAQUAKE-Scientists-two-fault-lines-capable-releasing-7-8-magnitude-earthquake-kill-1-600-people-destroy-10-000-buildings.htmlIs Seattle set for a MEGAQUAKE? Scientists find two fault lines that are capable of releasing a 7.8-magnitude earthquake - and it could kill more than 1,600 people and destroy over 10,000 buildingsA 7.8-magnitude quake rocked the Seattle region 1,100 years agoExperts found it came from two fault lines that ruptured simultaneouslyREAD MORE: Seattle could be engulfed by a TSUNAMI with waves up to 42fthttps://www.dailymail.co.uk/news/article-12581281/girl-gang-zero-bail-nike-video-california-irvine.htmlVideo shows girl of 14 in shoplifting gang targeting Nike store as lawless looting intensifies in Gavin Newsom's free-for-all California and 12 LA counties file lawsuit to block zero bail policySecurity footage reveals the fearlessness of gangs targeting the state's retailers Comes as 12 counties launch a last-ditch bid to prevent pandemic era zero-bail policy being reintroduced warning it is a 'threat to public safety' But Democrat Governor Gavin Newsome insists the policy will 'root out racial inequity and structural 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Is ChatGPT all it's cracked up to be? Will truth survive the evolution of artificial intelligence?   On the GZERO World with Ian Bremmer podcast, cognitive scientist, author, and AI researcher Gary Marcus breaks down the recent advances––and inherent risks––of generative AI.   AI-powered, large language model tools like the text-to-text generator ChatGPT or the text-to-image generator Midjourney can do magical things like write college papers or create Picasso-style paintings out of thin air. But there's still a lot they can't do: namely, they have a pretty hard time with the concept of truth. According to Marcus, they're like “autocomplete on steroids.”   As generative AI tools become more widespread, they will undoubtedly change the way we live, in both good ways and bad.   Marcus sits down with Ian Bremmer to talk about the latest advances in generative artificial intelligence, the underlying technology, AI's hallucination problem, and what effective, global AI regulation might look like.  

Joël shares he has been getting more into long-form reading. Stephanie talks about the challenges she faced in a new project that required integrating with another company's system. Together, they delve into the importance of search techniques for developers, covering various approaches to finding information online. Domain Modeling Made Functional (https://pragprog.com/titles/swdddf/domain-modeling-made-functional/) Episode on heuristics (https://www.bikeshed.fm/398) Episode on specialized vocabulary (https://www.bikeshed.fm/356) Episode on discrete math (https://www.bikeshed.fm/374) Joël's discrete math talk at RailsConf (https://www.youtube.com/watch?v=wzYYT40T8G8) Dash (https://kapeli.com/dash) Alfred (https://www.alfredapp.com/) Indiana Jones and the Crypt of Cryptic Error Messages (https://thoughtbot.com/blog/indiana-jones-and-the-crypt-of-cryptic-error-messages) Browser History confessional by Kevin Murphy (https://www.youtube.com/watch?v=R7LkHjJdH9o) Transcript: STEPHANIE: Hello and welcome to another episode of The Bike Shed, a weekly podcast from your friends at thoughtbot about developing great software. I'm Stephanie Minn. JOËL: And I'm Joël Quenneville. And together, we're here to share a bit of what we've learned along the way. STEPHANIE: So, Joël, what's new in your world? JOËL: Something I've been trying to do recently is get more into long-form reading. I read quite a bit of technical content, but most of it are short articles, blog posts, that kind of thing. And I've not read, like, an actual software-related book in a few years, or at least not completed a software-related book. I've started a few chapters in a few. So, something I've been trying to do recently is set aside some time. It's on my calendar. Every week, I've got an hour sit down, read a long-form book, and take notes. STEPHANIE: That's really cool. I actually really enjoy reading technical stuff in a long-form format. In fact, I was similarly kind of trying to do it, you know, once a week, spend a little bit of time in the mornings. And what was really nice about that is, especially if I had, like, a physical copy of the book, I could close my computer and just be completely focused on the content itself. I also love blog posts and articles. We are always talking on the show about, you know, stuff we've read on the internet. But I think there's something very comprehensive, and you can dig really deep and get a very deeper understanding of a topic through a book that kind of has that continuity. JOËL: Right. You can build up a larger idea have more depth. A larger idea can also cover more breadth. A good blog post, typically, is very focused on a single thing, the kind of thing that would really probably only be a single chapter in a book. STEPHANIE: Has your note-taking system differed when you're applying it to something longer than just an article? JOËL: So, what I try to do when I'm reading is I have just one giant note for the whole book. And I'm not trying to capture elements or, like, summarize a chapter necessarily. Instead, I'm trying to capture connections that I make. So, if there's a concept or an argument that reminds me of something perhaps similar in a different domain or a similar argument that I saw made by someone else in a different place, I'll capture notes on that. Or maybe it reminds me of a diagram that I drew the other day or of some work I did on a client six months ago. And so, it's capturing all those connections is what I'm trying to do in my notes. And then, later on, I can kind of go back and synthesize those and say, okay, is there anything interesting here that I might want to pull out as an actual kind of idea note in my larger note-taking system? STEPHANIE: Cool, yeah. I also do a similar thing where I have one big note for the whole book. And when I was doing this, I was even trying to summarize each chapter if I could or at least like jot down some takeaways or some insights or lines that I like felt were really compelling to me. And, like, something I would want to, in some ways, like, have created some, like, marker for me to remember, oh, I really liked something in this chapter. And then, from there, if I didn't capture the whole idea in my note, I knew where I could go to revisit the content. JOËL: And did you find that was helpful for you when you came back to the book? STEPHANIE: Yeah, it did. I usually can recall how, like, I felt reading something. You know, if something was really inspiring to me or really relatable, I can recall that, like, I had that experience or emotion. And it's just, like, trying to find where that was and that this is a system that has worked well for me. Though, I will say that summarizing each chapter did kind of remind me of, like, how we learned how to take notes in school. [laughs] And I think, you know, middle school, or whatever, I recall a particular note-taking format, where you, you know, split the page up into, like, an outline with all the chapters, and you tried to summarize it. And so, it did feel a little bit like homework [laughs]. But I can also see the value in why they taught me how to do that. JOËL: I was recently having a conversation with someone else about the idea of almost, like, assigning yourself the college-style essay question after finishing a book to try to synthesize what you learned. STEPHANIE: Whoa, that's really cool. I can see how that would really, like, push you to synthesize and process what you might have just consumed. And, also, I'm so glad I'm not in school anymore [laughs] so that I don't have to do that on a regular basis. [laughs] I'm curious, Joël, what book are you reading right now? JOËL: I've been reading Domain Modeling Made Functional, which is a really interesting intersection between functional programming, Domain-Driven Design (DDD), and a lot of interesting kind of type theory. And so, that sort of intersection of those three Venn diagrams leads to this really fascinating book that I've been going through. And I think it connects with a lot of other things that I've been thinking about. So, I'll be reading and be like, oh, this reminds me of this concept that we have in test-driven development. Or this reminds me of this idea that we do when we do a product design sprint. And this reminds me of this principle from object-oriented design. And now I'm starting to make all these really interesting connections. STEPHANIE: Awesome. Well, I hope to hear more about what you've learned or kind of what you're thinking about going through this book in future episodes. JOËL: This is not the last time we hear about this book, I'm pretty sure. So, Stephanie, what's new in your world? STEPHANIE: So, I have a little bit of a work update to share. So, lately, I've been brought in to work on a feature that is integrating with another company's system. And the way that I was brought into this work was honestly just being assigned a task. And I was picking up this work, and I was kind of going through the requirements that had been specked out for me, and I was trying to get started. And then, I realized that I actually had a lot of questions. It just wasn't quite fully fleshed out for the level of detail that I needed for implementing. And for the past couple of weeks, we've been chatting in Slack back and forth as I tried to get some of my questions answered. They are trying to help me, but also the things that I'm saying end up confusing them as well. And then, I end up having to try and figure out what they're looking for in order to properly respond to them. And I had not met these people before. These are folks from that other company. And, you know, I'd only just seen their little Slack profile pictures. So, I didn't know who they were. I didn't know what role they had and kind of, like, what perspective they were coming to these conversations from. And after a while, I was feeling a little stressed out because we just kept having this back and forth, and not a lot of answers were coming to fruition. And I really ended up needing the nudge of the manager on my client team to set up a meeting for us to all just talk synchronously. And I think I had...not that I had been avoiding it necessarily, but I guess I was under the impression that we were at the point where we could just, you know, shoot off a question in Slack and that there would be a clear path forward. But the more we kept pulling on that thread, the more I realized that, oh, like, we have a lot of ambiguity here. And it really helped to meet them finally, not in person but, like, over a video call. [laughs] So, this happened yesterday. And, you know, even just, like, going around doing introductions, like, sharing what their role was at the company helped me just understand, like, who I was talking to. You know, I realized, oh, like, the level of technical details that I had been providing was maybe too much for this group. And I was able to have a better understanding of what their needs were, like hearing kind of the problem that they had on their end. And I realized that, oh, like, they actually aren't going to provide me the details for implementation that I was looking for. That's up to me. But at least now I know what their higher-level needs are so that I can make the most informed decisions that I can. JOËL: Fascinating. So, you thought that this was going to be, like, the technical team you're going to work with. And it turns out that this was not who they were. STEPHANIE: In some ways. I think I thought by providing more technical details that would be helpful, but it ended up being more confusing for them. And I think I was similarly kind of frustrated because the ways that I was asking questions or communicating also wasn't getting me the answers that I needed as well. But I felt really great after the meeting because I'm like, wow, you know, it doesn't have to be as stressful. You know, when you start getting into that back and forth on Slack, at least I find it a bit stressful. And it turns out that the antidote to that was just getting together and getting to know each other and hashing out the ambiguity, which does seem to work better in a more synchronous format. JOËL: Do you have kind of a preference for synchronous versus asynchronous when it comes to communication? STEPHANIE: That's a good question. I think it's kind of a pendulum for me. I'm in my asynchronous communication is a bit better for me right now phase, but only because I am just so burnt out on meetings a lot of the time that I'm like, oh, like, I really don't want to add another meeting to my calendar, especially because...I amend my statement; I'm burned out of meetings that don't go well. [laughs] And this meeting, in particular, was different because, you know, I realized, like, oh, like, we are not on the same page, and so how can we get there? And kind of making sure that we were focused on that as an agenda. And I found that ultimately worked out better than the async situation that I was describing, which I'm thinking now, you know when things aren't clear, text-based communication certainly does not help with that. JOËL: So, meetings, sometimes they're actually good. STEPHANIE: Yeah, that's my enlightened discovery this week. JOËL: So, this episode is kind of a special one. We've just hit 400 episodes of The Bike Shed. So, this is episode number 400. It's also my 50th Episode as a co-host. STEPHANIE: Right. That's a huge deal. 400 is a really big number. I don't know if I've ever done 400 of anything before [laughs]. JOËL: The Bike Shed has been going on for almost ten years now. The first episode up on the website is from October 31st, 2014, so just about nine years from that first episode. STEPHANIE: Wow. And it's still going strong. That's really awesome. I think it's really special to be a part of something that has been going on for this long. And, I don't know, maybe there are still listeners today from back in 2014. I would be really excited to hear if anyone out there has been listening to The Bike Shed throughout its whole lifespan. That's really cool. JOËL: Looking back over the last 50-ish episodes you and I have done, do you have a favorite episode that we've recorded? STEPHANIE: This may be a bit of recency bias. But the episode that we did about Software Heuristics I really enjoyed. Because I think we got to bring to the table some of the things we believe and the way we like to do things and kind of compare and contrast that with each other. And I always find people's processes very fascinating. Like, I want to know how you think and where your brain is at when you approach a problem. So, I really enjoyed that topic. What about you? Do you have any highlight episodes? JOËL: I think there's probably two for me. One is the episode that you and I did on Specialized Vocabulary. I think this really touched on a lot of really interesting aspects of writing software that's going to scale, software that works for a team, and also kind of personal growth and exploration. The second one that I think was really fun was the episode I did with Sara Jackson as a guest talking about Discrete Math because that's an episode that I got really excited about the topic. And right after recording the episode, it was the last day of the call for proposals for RailsConf. And I just took that raw excitement, put together a proposal, hit submit before the deadline. And it got accepted and got turned into a talk that I got to give on stage. So, that was, like, just a really fun journey from exciting episode with Sara and then, like, randomly turned into a conference talk. STEPHANIE: That's awesome. That makes me feel so happy. Because it just reminds me about how the stuff we talk about on the show can really resonate with people, you know, enough to become a conference talk that people want to attend. And I also really like that a lot of the topics we've gotten into in the past 50 episodes when we've taken over the show have been a bit more evergreen and just about, you know, the software development experience and a little bit less tied to specific news within the community. Speaking of evergreen topics, today, I wanted to discuss with you an evergreen software skill, and that is searching or Search-Driven Development, even if you will. JOËL: Gotta always get that three-letter acronym, something DD. STEPHANIE: Yeah. I am really curious about how we're going to approach this topic because a lot of folks might joke that a big part of writing software is knowing what to Google. Do you agree with that statement or not? JOËL: Yes and no. There's definitely value in knowing what to Google. It really depends on the kind of work that you're doing. I find that I don't Google that much these days. There are other tools that I use when I'm particularly, like, searching through documentation, but they tend to be less sort of open-ended questions and more where it's like, oh, let's get the actual documentation for this particular class or this particular method from the standard library. STEPHANIE: Oh, interesting. I like that you pointed out that there are different scopes of things you might want to search for. So, am I hearing correctly that when you have something specific in mind that you are just trying to recall or wanting to look up, you know, you're still using search that way, but less so if you are trying to figure out how to approach solving a problem? JOËL: So, oftentimes, if I'm working with a language that I already have familiarity with or a framework that I have familiarity with, I'm going to lean on something more specific. So, I'm going to say, okay, well, I don't exactly remember, like, the argument order for Enumerable's inject method. Is it memo then item, or item then memo? So, I'll just look it up. But I know that the inject method exists. I know what it does. I just don't remember the exact specifics of how to do that. Or maybe I want to write a file to disk, and I don't remember the exact method or syntax to do that. There are some ways that you can do it using a bunch of instance methods. But I think there's also a class method that allows you to kind of do it all at once. So, maybe I just want to look up the documentation for the file class in Ruby and read through that a little bit. That's the kind of thing where I suppose I could also Google, you know, how to save file Ruby, something like that. But for those sorts of things where I already roughly know what I want to do, I find it's often easier just to go directly to the docs. STEPHANIE: Yeah, yeah, that's a great tip. And I actually have a little shortcut to share. I started using DuckDuckGo as my search engine in the past year or so. And there's this really cool feature called Bangs for directly searching on specific sites. From my search bar, I can do, let's say, bang Rails and then my query. And it will search directly the Rails Guides website for me instead of, you know, just showing the normal other results that might come up in my regular search engine. And the same goes for bang Ruby doc. That one shows ruby-doc.org, which is my preferred [laughs] Ruby documentation website. I've really been enjoying it because, you know, it just takes that extra step out of having to either navigate to the site itself first or starting more broadly with my search engine and then just scrolling to find the site that I'm looking for. JOËL: Yeah. I think having some kind of dedicated flow helps a lot. I have a system that I use on my machine. It is Mac-specific. But I use a combination of the application Dash and the application Alfred. It allows me, with just a few keyboard shortcuts, to type out language names. So, I might say, you know, Ruby inject, and then it'll show me all the classes that have that method defined on it, hit Enter, and it pops up the documentation. It's downloaded on my machine, so it works offline. And it's just, you know, a few key presses. And that works really nicely for me. STEPHANIE: Oh, offline search. That's really nice. Because then if you're coding on a plane or something, then [laughs] you don't have to be blocked because you can't look up that little, small piece of information you need to move forward. That's very cool. JOËL: That is really cool. I don't know how often I've really leaned into the offline part of it. I don't know about you; I feel like I don't code on airplanes as much as I thought I would. STEPHANIE: That's fair. I also don't code on airplanes, but the idea that I could is very compelling to me. [laughs] JOËL: Absolutely. So, that's the kind of searches that I tend to do when I'm working in a language that I already know, kind of a day-to-day language that I'm using, or a framework that I'm already pretty familiar with. And this is just looking at all the things I haven't gotten to the point where I've fully memorized, but I have a good understanding of. What about situations where maybe you're a little bit less familiar with? So maybe it's a new framework, or even, like, a situation where you're not really sure how to proceed. How do you search when there's more uncertainty? STEPHANIE: Yeah, that's a good question. I do think I start a bit naively. The reason that we're able to be more specific and know exactly where to go is because we've built up this experience over time of scrolling through search results and clicking, you know, maybe all of them on the first page, even, and looking at them and being like, oh, like, this is not what I want. And then, seeing something else, it's like, oh, this is more helpful and kind of arrived at sources that we trust. And so, if it's something new, I don't really mind just going for a basic search, right? And starting more broadly might even be helpful in that process of building up the experience to figure out which places are reputable for the thing that I'm trying to figure out. JOËL: Yeah, especially when there's a whole new landscape, right? You don't really know what are the places that have good information and the ones that don't. For some things, there might be, like, an obvious first place to start. So, recently, I was on a project where I was trying to do an integration between a Rails app and a Snowflake data warehouse. And so, the first thing I did—I'm not randomly Googling—I went to the Snowflake website, their developer portal, and started reading through documentation for things. Unfortunately, a lot of the documentation is a bit more corporatey and not really helpful for Ruby-specific implementation. So, there's a few pieces that were useful. There were some links that they had that sent me to some good places. But beyond that, I did have to drop to Google search and try to find out what kinds of other things the community had done that could be helpful. Now, that first pass, though, did teach me some interesting things. It gave me some good keywords to search for. So, more than just Ruby plus Snowflake or something like that like, I knew that I likely was going to want to do some kind of connection via ODBC. So, now I could say, okay, Ruby plus ODBC integration, or Ruby plus ODBC driver and see what's happening there. And it turns out that one of the really common use cases for ODBC and Ruby is specifically to talk to Snowflake. And one of the top results was an article saying, "Hey, here's how you can use ODBC to get your Rails app to talk to Rails." And then I knew I struck gold. STEPHANIE: That's really cool. The thing that I was picking up on in what you were saying is the idea of finding what is most relevant to you. And maybe that is something that the algorithm serves you because, like, it's, like, what a lot of people are searching for, you know, a lot of people are engaging with, or matching with all these keywords that you're using. My little hack that I've been [chuckles] using is to use Slack and lean on other people who have maybe a little more, even just, like, a little more experience than me on the subject, and seeing, like, what things they're linking to, and what resources they're sharing. And I've found that to be really helpful as a place to start. Because, at that point like, my co-workers are narrowing down the really broad landscape for me. JOËL: I really like how you're sort of you're redefining the question a little bit here. And that, I think, when we talk about search, there's almost this implicit assumption that search is going to be searching the public internet through Google or some other alternative search engine. But you're talking about actually searching from my private corpus of data, in this case, either thoughtbot or maybe the client's Slack conversations, and pulling up information there that might be much more relevant or much more specific to the work that you're trying to do. STEPHANIE: Yeah. In some ways, I like to think of it as crowd-sourced but, like, a crowd that I trust and, you know, know is relevant to me and what I'm working on. I actually have a fun fact for you. Did you know that Slack is actually an acronym? JOËL: No, I did not know that. What does it stand for? STEPHANIE: It stands for Searchable Log of All Communication and Knowledge. JOËL: That is incredibly clever. I wonder, is this the thing where they came up with that when they made the original name? Or did someone go back later on, you know, a few years into Slack's life and was like, you know what? Our name could be a cool acronym; here's an idea. STEPHANIE: I'm pretty sure it was created in Slack's early days. And I think it might have even helped decide that Slack was going to be called Slack as opposed to some of the other contenders for the name of the software. But I think it's very accurate. And that could just be how I use Slack. I'm a very heavy search power user in Slack. [laughs]. So, I find it very apt. You know, obviously, I use it a lot for finding conversations that happened. But I really do enjoy it as a source of discovery for a specific topic, or, you know, technical question or idea that I'm wanting to just, like, filter down a little bit beyond, like you said, the public internet. In fact, I have found it really useful for when you encounter errors that actually are specific to your domain or your app. Obviously like, you will probably be less successful searching in your search engine for that because it includes, you know, context from your app that other people in the world don't have. But once you are narrowing it down to people at your company, I've been able to get over a lot of troubleshooting humps that way by searching in Slack because likely someone within my team has encountered it before. JOËL: So, you mentioned searching for error messages in particular. And I feel like that is, like, its own, like, very specific searching skill separate from more general, like, how do I X-style questions. Does that distinction kind of line up with your mental map of the searching landscape? STEPHANIE: Yeah. I guess the way that I just talked about it now was potentially a bit confusing because I was saying instead of how you might search for errors normally, but I did not talk about how you might search for errors normally. [laughs] But specifically, you know, if I'm popping error messages into my search engine, I am removing the parts of the stack trace that are specific to my app, right? Because I know that that will only kind of, like, clutter up my query and not be getting me towards a more helpful answer as to the source of my issue, especially if the issue is not my application code. JOËL: Right. I want to give a shout-out to an article on the thoughtbot Blog with a wonderful name: Indiana Jones and the Crypt of Cryptic Error Messages by Louis Antonopoulos. All about how to take an error message that you get from some process in your console and how to make that give you results when you paste it into a search engine. STEPHANIE: I love that name. Very cool. JOËL: So, you've talked a little bit about the idea of searching some things that are not on the public internet. How do you feel about kind of internet knowledge bases, private wikis, that kind of thing? Have you had good success searching through those kinds of things? STEPHANIE: Hmm, I would say mixed success, to be honest. But that's because of maybe more so the way that a team or a company documents information. The reason I say mixed results is because, a lot of the time, the results are outdated, and they're no longer relevant to me. And it doesn't take that much time to pass for something to become outdated, right? Because, like, the code is always changing. And if, you know, someone didn't go and update the documentation about the way that a system has changed, then I usually have to take the stuff that I'm kind of seeing in private wikis with a bit more skepticism, I would say. JOËL: Yeah, I think my experience mirrors yours as well. Also, some private wikis have just become absolutely huge. And so, searches just return a lot of results that are not really relevant to what I'm searching for. The searching algorithms that these systems use are often much less powerful than something like Google. So, they often don't sort results in a way that are bringing relevant things up to the top. So, it's more work to kind of sift through all of the things I don't care about. STEPHANIE: Yeah, bringing up the size of a wiki and, like, all of the pages, that is a good point because I see a lot of duplicate stuff, but that's just, like, slightly different. So, I'm not sure which one I'm supposed to believe. One really funny encounter that I had with a private wiki, or actually it was, like, a knowledge base article that was for the internal team...it was documenting actually a code process. So, it was documenting in more human-readable terms, like the steps an algorithm took to determine some result. But the whole document was prefaced by, "This information came from an email that was sent way long ago." [laughs] JOËL: That's an epic start to a Wiki article. STEPHANIE: Yeah. And there was another really funny line that said, "The reason for this logic is because of a decision made by (This person's name.)," like a business decision that (some random person name). No last name either, so I have no idea [laughs] who they could be referring to and any of the, like, historical context of why that happened. But I thought it was really funny as just a piece of, like, an artifact, of, at the time, when this was written, that meant something to someone, and that knowledge kind of has been diluted [laughs] over the years. JOËL: Yeah, internal wikis, I feel like, are full of that, especially if they've had a few years to grow and the company has changed and evolved. So, now it's time for hot takes. STEPHANIE: Yeah, I'm ready for them. JOËL: We are now in the fancy, new age of AI. Is ChatGPT going to make all of this episode obsolete? STEPHANIE: I'm going to say no, but I'm also biased, and I'm not a ChatGPT enthusiast. I've said it on air. [laughs] I can't even say that I've used it. So, that's kind of where I'm coming from with all this. But I have heard from folks that, convenient as it may be, it is not always 100% accurate or successful. And I think that one of the things I really like about kind of having agency over my search is that I can verify, as a human, the information that I'm seeing. So, you know, when you're, like, browsing a bunch of Stack Overflow questions and you see, you know, all these answers, at least you can, like, do a little bit of, like, investigation using context clues about who is answering the question, you know, like, what experience might they have? If you encounter something on a blog post, for example, you can go to the about page on this person's blog and be like, who are you? [chuckles] And, like, what qualifies you to give this information? And I think that is really valuable for me in terms of evaluating whether I want to go down a path based on what I'm seeing. JOËL: So, I've played with it a tiny, little bit, so not enough to have a good sample size. And I think it can be interesting for some of those less constrained kind of how do I style questions. I'm not necessarily looking for, like, an exact code sample. But even if it just points me towards, oh, I need to be looking at this particular class in this standard library and read through that documentation to build the thing that I want. Or maybe it links me to kind of the classic blog posts that people refer to when talking about this thing. It's a good way sometimes to just narrow down when you're kind of faced with, you know, the infinity of the internet, and you're kind of like, oh, I don't even know where to start. It gives you some keywords or some threads to follow up on that I think can be really interesting. STEPHANIE: The infinity of the internet. I love that phrase. I don't think I've heard it before, but it's very evocative for me [laughs]. And I like what you said about it helping you give a direction and to kind of surface those keywords. In fact, it almost kind of sounds like what I was mentioning earlier about using Slack for, right? And, in that case, the hive mind that I'm pulling from is my co-workers. But also, I can see how powerful it would be to leverage a tool that is guiding you based on the software community at large. JOËL: Something I'd be curious to maybe lean into a little bit more are some of those slightly more specified questions where it does give you a code snippet, so something like writing a file to disk where, right now, it's, you know, five characters. I just pop up Alfred and type up Ruby F, and it gives you the file docs, and it's, you know, right there. There's usually an example at the top of the file. I copy-paste that and get working. But maybe this would be a situation where some AI-assisted tools would be better. It could be searching through something like ChatGPT. It could be maybe even something like Co-pilot, where, you know, you just start typing a little bit, and it just fills out that skeleton of, like, oh, you want to write a file to disk in Ruby. Here's how it's typically done. STEPHANIE: Yeah, you bring up a good point that, in some ways, even the approaches to searching we were talking about originally is still just building off of algorithms helping us to find what we're looking for, right? Though, I did really want to recommend an awesome talk from Kevin Murphy, from a RailsConf a couple of years ago, that's called Browser History Confessional: Searching My Recent Searches. The main message that I really enjoyed from this talk was the idea of thinking about what you're searching for and why because that will, I think, help add a bit of, like, intentionality into that process. You know, it can be very overwhelming, but let that guide you a little bit. One of the things that he mentions is the idea of revisiting your own assumptions with search. So, even if you think you know how to do something, or you might even know, like, how you might want to do it, just going to search to see if there's any other implementations that you haven't thought of that other people are doing that might inform how you approach a problem, or at least, like, make you feel even more confident about your original approach in the first place. I thought that was really cool. That's not something that I do now, but definitely, something that I want to try is to be, like, I think I know how to do this, but let me see what other people are doing because that might spark something new. JOËL: We'll put a link in the show notes to this talk. But I was lucky enough to see it in person. And also would like to second that recommendation. It is worth watching. From this conversation that you and I have had, I'm having, like, two main takeaways. One is kind of what you just said, the idea of being a little bit more cognizant of, what kind of search am I doing? Is this a sort of broad how do I X, where I don't even really know where to start? Is this, like, something really specific where you just don't know what kind of syntax you want to use? Is it an error message where you just want to see what other people have done when they've encountered this? Or any other, like, more specific subcategories. And how being aware of that can help you search more effectively. And secondly, don't limit yourself to the public internet. There's a lot of great information in your company's Slack or other instant messaging service, maybe some kind of documentation system internal, some kind of wiki. And those can be a great place to search as well. STEPHANIE: If we missed any other cool searching tips or tricks or ways that we might be able to improve our processes for searching as developers, I would really love to hear about them. So, if any listeners out there want to write in with their thoughts, that would be super awesome. On that note, shall we wrap up? JOËL: Let's wrap up. STEPHANIE: Show notes for this episode can be found at bikeshed.fm. JOËL: This show has been produced and edited by Mandy Moore. STEPHANIE: If you enjoyed listening, one really easy way to support the show is to leave us a quick rating or even a review in iTunes. It really helps other folks find the show. JOËL: If you have any feedback for this or any of our other episodes, you can reach us @_bikeshed, or you can reach me @joelquen on Twitter. STEPHANIE: Or reach both of us at hosts@bikeshed.fm via email. JOËL: Thanks so much for listening to The Bike Shed, and we'll see you next week. ALL: Byeeeeee!!!!!! ANNOUNCER: This podcast is brought to you by thoughtbot, your expert strategy, design, development, and product management partner. We bring digital products from idea to success and teach you how because we care. Learn more at thoughtbot.com.

Today's episode is about questioning the hype. Do you REALLY need a niche? Do you REALLY need a pretty website? Do you REALLY need a big list? In fact, what's possible WITHOUT a big list? (Erica has 400 people on her list so you're about to find out…) Do you REALLY need to obsess about what your social media looks like? Do you REALLY need to have X, Y, and Z before you start selling? There are so many “nice-to-haves” that we confuse “need-to-haves.” This episode is about diagnosing what we're wasting our time on so we can get the heck out of our way. We also take a deep look into Erica's business to understand what is working well for her right now, and what she's shifting to next! Resources  mentioned in this episode: ➡️Is ChatGPT making you sound like a Robot wrote your copy? This will help: gotocoach.club/chatgptprompts➡️Follow Erica here: https://www.instagram.com/ericahanloncoaching/ ➡️4 secrets to stop self-sabotage and hit your goal: https://www.ericahanlon.com/4-secrets ➡️Erica's blog: https://www.ericahanlon.com/blog

The Generative AI News (GAIN) rundown is back and was recorded on July 13, 2023. Special segments this week include: Anthropic's ChatGPT competitor Claude 2 landed, and it has some intriguing features. The discussion also includes a quick demo. Is ChatGPT's website traffic drop a reason for concern? We break down the numbers and also touch on a brand new FTC action against OpenAI. We also give you a new list of generative AI winners and losers of the week. My Voicebot.ai colleague Eric Schwartz joins me today to go deep on the news. If you prefer to watch the show, you can always see the latest GAIN recording here.  Generative AI News   Links related to the stories are included below if you want to go deeper into any topics. Top Stories of the Week Anthropic's ChatGPT Alternative Claude 2 Has an Awesome New Feature and is Now Available to Everyone ChatGPT Web Traffic Drops. Is Generative AI's Hype Cycle Ready to Plunge? OpenAI Makes the GPT-4, DALL-E, Whisper, and ChatGPT Model APIs Generally Available FTC Investigating ChatGPT-maker OpenAI for Possible Consumer Harm Generative AI Funding Fountain Voices.ai Raises $6M for Real-time AI Voice Filter Resemble AI Raises $8M and Launches Deepfake Voice Detector Generative AI Prompt Engineering Startup Vellum.ai Raises $5M UK Startup Prolific Raises $32M to Expand 120K-Person Network of Generative AI Model Testers KPMG Plans $2B Investment in AI and Cloud Services AI Seen Fueling Microsoft to $3T Value in Morgan Stanley Model Generative AI Product Garden Shutterstock Follows Adobe and Offers Legal Protection from Generative AI Copyright Claims Unity Unveils Generative AI Marketplace for Video Game Developers X.ai to Formally Launch Business on Friday Brands in Generative AI Lands Mayo Clinic Begins Testing Google Med-PaLM 2 Generative AI Model Gizmodo the Latest Media Publisher to Notch a Generative AI Fail Virgin Cruises Adopts Deepfake Jennifer Lopez as Spokesmodel More About GAIN   GAIN is recorded live and streamed via YouTube and LinkedIn on Thursdays. You can re-watch each week's discussion on Voicebot's YouTube channel. Please join us live next week on YouTube or LinkedIn. Also, please participate in the live show by commenting, and we are likely to give you a shoutout and may even show your comment on screen. Please share this post with a friend, and don't forget to subscribe to the YouTube channel. Thanks!

Science fiction has primed us for this moment when artificial intelligence starts to take on a life of its own. ChatGPT has baffled and surprised even computer scientists in terms of how it works. Now a lot of us are asking, “Which movie are we in?” Is ChatGPT going to be a benign intelligence like Samantha from Her, dangerously neurotic and emotionally unstable like HAL from 2001, or a malevolent force like Skynet from The Terminator series? I talk with Erik Sofge, senior editor at MIT Horizon, about whether any of these scenarios are accurate, or if sci-fi is distracting us from seeing the problems that A.I. could create in our daily lives. We also revisit my 2016 episode The Robot Uprising, where I looked at how our feelings about A.I. and robots are influenced not just by sci-fi but also unresolved historical guilt. Learn more about your ad choices. Visit megaphone.fm/adchoices

Can ChatGPT stand up to the task of being our host today? That's what we're going to find out! We're using ChatGPT to provide the inside scoop on the latest AI news and follow-up questions for Jordan and co-host/producer Brandon!Time Stamps:[00:00:00] How we're using ChatGPT for today's episode[00:02:53] Anderson Horowat says AI is going to save the world[00:05:25] Invisible AI's new AI cameras watch you work[00:08:50] AI writing for WordPress[00:14:01] Business Insider's 10 roles that AI will replace[00:15:02] Is ChatGPT the future of the workplace?[00:18:30] Companies crashed surfing the GPT wave[00:22:05] AI monitoring may not need humans soonFor full show notes, head to YourEverydayAI.comTopics Covered in Today's Episode:- Uncertainty around ChatGPT's impact on the workplace- Goldman Sachs study suggests that up to 300 million jobs could be impacted by AI- AI implementation needs to be approached correctly to benefit companies and jobs- Should AI editing and proofreading in the office always be monitored by a human?- Discussion of using AI agents to monitor work- WordPress' new AI technology- Significance of GPT 3.5 and GPT 4 in AI technologyKeywords:ChatGPT, AI writing assistant, Hemingway, Jasper, WordPress, productivity, workplace, small and medium-sized businesses, Goldman Sachs, job titles, technological advancements, data, Automatic, Jetpack AI assistant, selectable writing tones, grammar, spell checking, fear, decision-makers, editing, proofreading, technology, agents, fact-checking, AI-generated output, WordPress version, GPT 3.5, GPT 4. Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

Welcome to The Club! Is ChatGPT and AI coming for us all? Are the Seattle Mariners really paying their mascot this badly? Also, which species of animal is invading Oregon?

OUTLINE of today's show with TIMECODES Vaccine hesitancy rising! 3:01 How Mandates Backfired - the only good thing from Fauci 6:59 What was the public's role in lockdown? What about those who remain silent when government goes to war foreign or domestic? 20:36 Solzhenitzyn's "Live NOT by Lies" His 1974 essay about authoritarian Soviet Union is where we are today in the United States of Authoritarianism 23:00 FBI agents barged into wrong room at Revere hotel and TORTURE commercial pilots for hours. America's not anything like an authoritarian government, right? It's EXACTLY like Terry Gilliam's Orwellian satire: "Brazil" 45:39 Marjorie Taylor Greene attacks teacher's union Randi Weingarten for closing schools. She ought to THANK her. 56:18 The sorry state of "medicine" — doctors are using AI to interact with patients so they don't have to do it. Is ChatGPT already captive to BigPharma? 1:01:07 Can we hold Biden and Trump accountable for skipping debates? 1:04:14 RFKj - the new hero of the right. Even Marc Morano who recorded RFKj calling for "deniers" to be jailed and/or executed seems willing to move on. So where is RFKj on censorship and climate change? Is the enemy of your enemy your friend? 1:06:23 RFKj says he wants free market capitalism. But is he describing "stakeholder capitalism" and ESG? Does he not see "subsidy" corruption in green projects? 1:18:08 Why is it that so many will defend woman's sports against transgenderism, but won't defend young children being sexually groomed in elementary school? 1:27:08 Is Michelle Obama waiting in the wings like an understudy, ready to take on Biden's role if he can't make it? 1:28:52 What does RFKj see as the difference between pollution and climate change? 1:32:15 California is pushing a ban on diesel big rigs. No diesel trucks by 2036 in California. What will THAT do to supply chains? And they want to ban TRAINS as well 1:40:25 California Air Resources Board enacted regulations that will BAN PLANES, TRAINS, and AUTOMOBILES. Net zero means ZERO EVERYTHING. What will it do to supply chains? The plain is to put PEOPLE IN CHAINS OF POVERTY 1:39:09 Extorting certainty from ambiguity. The "scientist" who pushed both an ice age and global warming admits its not real science 1:48:34 The legal battle for the "Right to Repair" and other "ask me anything questions" on Tucker, working for a news organization, and how should we address anti-white racism 1:51:49 INTERVIEW Catherine Austin FittsStopping gun control in the wake of a shootingWhy 2nd Amendment is so important now and in 2024 electionsRed Flags, Christmas Parades, SUVs — lessons to learnWhat can be done at the state level to preserve "financial transactional freedom"2:06:21 With multiple police departments in hot pursuit, store clerk STILL has to defend his life without their help. Florida sheriff commends store clerk who shot a robbery suspect eight times. 2:56:28Find out more about the show and where you can watch it at TheDavidKnightShow.comIf you would like to support the show and our family please consider subscribing monthly here:SubscribeStar https://www.subscribestar.com/the-david-knight-showOr you can send a donation through Mail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Money is only what YOU hold: Go to DavidKnight.gold for great deals on physical gold/silver

PROOF WE ARE CLOSE TO THE END – Tom Donnan pt 1  Tom Donnan is back and we are so blessed to have him here with us. Every time Tom comes on to discuss current events in relation to Bible Prophecy of the end days, we are always amazed at how close we really are to the soon return of Jesus. Amen! Help me welcome back to the program, our good friend, Tom Donnan!  Tom, thank you for coming back on, brother! I've been looking forward to catching up with you. Amen! PROOF THE BIBLE IS TELLING THE TRUTH! WE ARE CLOSE TO THE END! GET RIGHT AND REPENT! - YouTube This guy is just an average Christian seeing the unfolding of the last days Moving closer to the Mark of the Beast, using buy gas as an example. Talks about how our minds are blinded to the truth. The fear that the Electric cars could be locked down remotely? Digital Dollar concerns Ends showing a hand reader used by Amazon  Amazon One, the new contactless way to pay with your palm - YouTube Shocking Truth: Artificial Intelligence is Harming the Church - My Experiment with ChatGPT Shocking Truth: Artificial Intelligence is Harming the Church - My Experiment with ChatGPT - YouTube Pastor Trey VanCamp gives an example of the text information brought up when asking about anxiety connected to Philippians 4.  Is this good for pastors? Is ChatGPT biased? ChatGPT SLAMMED For Being Insanely Woke, AI Is Being Programmed By Psychotic Leftists - YouTube Folks, as we wrap our discussion with Tom Donnan today, I want to emphasize, we are not doing this to instill fear, but hope. Hope in the Jesus. Hope in the Word. Hope that unbelievers do not have and are incapable of having – UNLESS they become a believer in the Lord Jesus Christ and what He has accomplished for us. CONTACT INFORMATION: Tom Donnan Healingthenation1776@gmail.com Book - “This Room” – www.ZoeHealingCenter.com Six free books can be found at: Home | Zoe Healing Center

In this episode of Quah (Q & A), Sal, Adam & Justin coach four Pump Heads via Zoom. Mind Pump Fit Tip: Protein quality doesn't matter, wait ACTUALLY it does. Both are true, but what matters is HOW much you intake. (2:17) Mind Pump's favorite candy bars. (12:14) Adam was RIGHT! (13:41) The government is making us sicker and fatter. (19:56) The Nostradamus effect. (27:16) Will cameras be banned from aquariums? (28:45) Adam's fish fiasco. (32:31) Get your Omega 3's with Butcher Box. (33:40) Get your pillow fighting on! (36:56) Is ChatGPT the next bubble to pop? (39:43) The richest man in history. (45:21) Fun Facts with Justin: The theory of the bearded Sphinx. (49:24) Everything is recycled. (52:16) Shout out to Layne Norton. (59:09) #ListenerLive question #1 - Which macros should I cut when going into a calorie deficit? (1:00:03) #ListenerLive question #2 – Should you bulk if you already have a high body-fat percentage? (1:06:57) #ListenerLive question #3 - Should I only be looking at certain sources of protein when trying to hit my intake for the day? (1:14:16) #ListenerLive question #4 - What steps should I focus on to dominate my upcoming 6th-degree Kyokushin karate black belt test? (1:27:32) Related Links/Products Mentioned Ask a question to Mind Pump, live! Email: live@mindpumpmedia.com Visit Organifi for the exclusive offer for Mind Pump listeners! **Promo code MINDPUMP at checkout** Visit Butcher Box for this month's exclusive Mind Pump offer! February Promotion: MAPS Performance, MAPS Aesthetic, and MAPS HIIT are all 50% off! **Code FEB50 at checkout** Canadian teacher with size Z breasts Kayla Lemieux spectacularly claims they're real Drinking Coke and Pepsi may increase testicle size and testosterone production All-In Podcast E116: Toxic out-of-control trains, regulators, and AI Matt Taibbi | Substack Watch White Noise | Netflix Official Site Dramatic Fish Death at Aquarium Shows Risk of Using Camera Flash Pillow fighting could be the next great combat sport - no, seriously Economist Says AI Is a Doomed Bubble - msn.com The richest person who ever lived had unimaginable wealth. Inside the world's wealthiest. Beard Piece of the Great Sphinx - World History Encyclopedia 'Starsky & Hutch' Remake Set Up at Fox - The Hollywood Reporter Hitmakers: The Science of Popularity in an Age of Distraction – Book by Derek Thompson Watch You | Netflix Official Site Visit MASSZYMES by biOptimizers for an exclusive offer for Mind Pump listeners! **Promo code MINDPUMP10 at checkout** Carb Cycling: A Good Way To Lose Fat? – Mind Pump Blog MAPS Anabolic Advanced Reverse Dieting 101 | MAPS Fitness Products Mind Pump #1602: Why Intermittent Fasting Is Bad Mind Pump #1830: Five Steps To Determine Your Ideal Caloric Intake MAPS Fitness Performance Mind Pump #1927: Performance Training Secrets From A Top NBA Trainer With Cory Schlesinger MAPS Fitness Prime Pro Mind Pump Free Resources     Mind Pump Podcast – YouTube People Mentioned Layne Norton, Ph.D. (@biolayne) Instagram Matt Taibbi (@mtaibbi) Twitter Chamath Palihapitiya (@chamath) Twitter Cory Schlesinger (@schlesstrength) Instagram  

All of us have dreams and ambitions but too few of us are willing to act towards those desires. And, even if we are, it's easy to get derailed, distracted, and side-tracked. My guest today is one of my favorite authors on the planet. His name is Steven Pressfield. He's the author of The War of Art, Gates of Fire, The Legend of Bagger Vance, and his newest book, a memoir about his life filled with ups and downs, Govt Cheese. Today, we talk about infusing soul into our work (including a rebuke of AI technology, ChatGPT), the drive to “make the kill,” good versus bad shame, noble obstacles, why being stuck is often a good sign, and putting your ass where your heart wants to be.   SHOW HIGHLIGHTS:   Other people resonate when we share our own stories Is ChatGPT and Artificial Intelligence evil? Pushing through challenges Writing provides peace of mind and satisfaction Reverence for the writing process Receiving inspiration from another force God vs. the Muse vs. the Universe We need to develop the “skills of the instrument” Developing the skill to finish what you start Harnessing shame to achieve results How to overcome “feeling stuck” The answer is always action   Get your signed copy of Ryan's new book, The Masculinity Manifesto   Want maximum health, wealth, relationships, and abundance in your life? Sign up for our free course, 30 Days to Battle Ready ⠀ Download the NEW Order of Man Twelve-Week Battle Planner App and maximize your week.

Is ChatGPT about to dramatically alter our lives? Professor of evolutionary biology Dr. Bret Weinstein and psychologist Dr. Jordan Peterson have both warned about ChatGPT and the widespread access to high-powered Artificial Intelligence.  Rich uses ChatGPT to write a monologue for his show… should Rich be concerned about being replaced??? PLUS can it write a strip club apology letter to your wife? 

The Rich Zeoli Show: Hour 4 Two big wins for the 2nd Amendment: An Appeals Court struck down a Trump Administration order that banned “bump stocks” + a Federal Judge has temporarily blocked a New Jersey law preventing law abiding citizens from carrying guns in public libraries, museums, bars, restaurants, and entertainment facilities. Is ChatGPT about to dramatically alter our lives? Professor of evolutionary biology Dr. Bret Weinstein and psychologist Dr. Jordan Peterson have both warned about ChatGPT and the widespread access to high-powered Artificial Intelligence. Nate Hochman—Staff Writer at National Review—joins the show to discuss his article, “How Gender Ideology Conquered South Dakota.” Hochman writes, “[i]t's the all-too-common story of a powerful progressive business interest pushing a deep-red state leftward.” Read the article at: https://www.nationalreview.com/2023/01/how-gender-ideology-conquered-south-dakota/ Rich uses ChatGPT to write a monologue for his show… should Rich be concerned about being replaced??? PLUS can it write a strip club apology letter to your wife? Who Won Social Media? 

The Rich Zeoli Show- Full Episode (01/09/2023): 3:05pm- The New Orleans-based 5th U.S. Circuit Court of Appeals struck down a Trump Administration order that banned “bump stocks.”  3:15pm- According to guidance from the American Academy of Pediatrics, obese children as young as 12-years-old should consider medications to combat obesity—with surgery sometimes recommended for kids who are 13-years or older.  3:30pm- Why isn't the American Academy of Pediatrics just placing a great emphasis on children exercising instead of encouraging risky medications and even surgery? Are kids being over-medicated?  3:50pm- In a new Wall Street Journal opinion editorial, Jenin Younes and Aaron Kheriaty document “[n]ewly released emails" showing "how officials coerce social-media companies to toe the government line.” They write, “[t]he emails emerged Jan. 6 in the discovery phase of Missouri v. Biden, a free-speech case brought by the attorneys general of Missouri and Louisiana and four private plaintiffs represented by the New Civil Liberties Alliance.” Younes, litigation counsel at the New Civil Liberties Alliance, will be joining the show later this afternoon.  4:05pm- While appearing on Fox News with Tucker Carlson, Rep. Thomas Massie confirmed he will be given a seat on the newly established “Church Committee” to investigate the Federal Government's weaponization of domestic surveillance. In August 1975, Senator Frank Church appeared on Meet the Press and discussed surveillance technology being used by the American government to monitor foreign enemies—but he warned that it could, in the future, be used by the government to infringe upon the rights of American citizens. His warnings proved to be prophetic.  4:15pm- In an opinion editorial for The New York Post, journalist Paul Sperry describes how he learned that Democrat Rep. Adam Schiff demanded Twitter executives ban Sperry for having written unflattering articles about the New York congressman. In a series of RealClearInvestigations pieces in 2020, Sperry documented how Schiff had lied about having prior contact with whistleblowers—something the New York Times has also reported on.   4:30pm- While appearing on Fox News, Congressman Jim Jordan (R-OH) addressed the pro-longed vote for Speakership, stating: “sometimes Democracy is messy.”  4:45pm- Bad Opinion Editorial: In Scientific America, Tracie Canada writes of Damar Hamlin's on-field cardiac arrest, “[t]he ‘terrifyingly ordinary' nature of football's violence disproportionately affects Black men.” Is the NFL purposefully putting Black men in danger?  5:00pm- Jenin Younes—Litigation Counsel at the New Civil Liberties Alliance & Attorney for the private plaintiffs in Missouri v. Biden—joins The Rich Zeoli Show to talk about her Wall Street Journal opinion editorial, “The White House COVID Censorship Machine.” In the editorial, Younes writes: “Newly released documents show that the White House has played a major role in censoring Americans on social media. Email exchanges between Rob Flaherty, the White House's director of digital media, and social-media executives prove the companies put Covid censorship policies in place in response to relentless, coercive pressure from the White House—not voluntarily. The emails emerged Jan. 6 in the discovery phase of Missouri v. Biden…” Read the article at: https://www.wsj.com/articles/white-house-covid-censorship-machine-social-media-facebook-meta-executive-rob-flaherty-free-speech-google-11673203704?mod=opinion_lead_pos5 5:15pm- Zeoli's TV Review: Matt finally watches Yellowstone…sort of…not really... 5:20pm- Twitter Files: Author and journalist Alex Berenson released a new round of “Twitter Files” documenting Dr. Scott Gottlieb's pressuring of Twitter to “hide posts challenging” the effectiveness of Pfizer's COVID-19 vaccinations. Dr. Gottlieb was Commissioner of the Food and Drug Administration (FDA) from 2017 to 2019 and is a sitting member of Pfizer's Board of Directors. 5:40pm- Mystery Movie Clip: Henry selects another terrible film.  5:50pm- According to CBS News, “Attorney General Merrick Garland has assigned the U.S. attorney in Chicago to review classified documents found at the Penn Biden Center for Diplomacy and Global Engagement in Washington.” Isn't this exactly what former President Trump was criticized for doing at Mar-a-Lago?  6:05pm- Two big wins for the 2nd Amendment: An Appeals Court struck down a Trump Administration order that banned “bump stocks” + a Federal Judge has temporarily blocked a New Jersey law preventing law abiding citizens from carrying guns in public libraries, museums, bars, restaurants, and entertainment facilities.  6:10pm- Is ChatGPT about to dramatically alter our lives? Professor of evolutionary biology Dr. Bret Weinstein and psychologist Dr. Jordan Peterson have both warned about ChatGPT and the widespread access to high-powered Artificial Intelligence.  6:30pm- Nate Hochman—Staff Writer at National Review—joins the show to discuss his article, “How Gender Ideology Conquered South Dakota.” Hochman writes, “[i]t's the all-too-common story of a powerful progressive business interest pushing a deep-red state leftward.” Read the article at: https://www.nationalreview.com/2023/01/how-gender-ideology-conquered-south-dakota/ 6:45pm- Rich uses ChatGPT to write a monologue for his show… should Rich be concerned about being replaced??? PLUS can it write a strip club apology letter to your wife?   6:50pm- Who Won Social Media?