Podcasts about prompt engineering

O Impacto da IA Generativa no Presente e Futuro dos DadosPrepare-se para uma conversa de altíssimo nível sobre como a Inteligência Artificial Generativa está transformando o mundo dos dados, das empresas e das carreiras. Neste episódio, Luan Moreno recebe Eduardo Ordax, Líder de IA Generativa na AWS, e Mateus Oliveira para discutir, sem rodeios, os impactos reais da IA no mercado.O que você vai aprender neste episódio:Como a IA Generativa está mudando a forma como construímos pipelines, produtos e soluções de dados.Os principais desafios que empresas enfrentam ao implementar GenAI — e por que tecnologia não é mais o problema, mas sim pessoas e dados.O papel da Engenharia de Dados no mundo da IA e como ela se conecta com conceitos como LLMOps, Fine-Tuning, Prompt Engineering e Data-Centric AI.Por que o domínio dos fundamentos nunca foi tão importante para quem trabalha (ou quer trabalhar) com dados e IA.Reflexões sobre o futuro das carreiras em dados e IA — será que os engenheiros de dados, cientistas de dados e desenvolvedores serão substituídos ou terão um papel ainda mais relevante?As diferenças entre usar IA para brincar no ChatGPT e levar IA para resolver problemas de negócios no mundo real, em escala e em produção.Este é um papo sobre IA. É uma imersão completa sobre os desafios, as oportunidades e a visão de futuro para quem trabalha com dados, engenharia, machine learning e inteligência artificial. Luan Moreno = https://www.linkedin.com/in/luanmoreno/

Sander Schulhoff is the OG prompt engineer. He created the very first prompt engineering guide on the internet (two months before ChatGPT's release) and recently wrote the most comprehensive study of prompt engineering ever conducted (co-authored with OpenAI, Microsoft, Google, Princeton, and Stanford), analyzing over 1,500 academic papers and covering more than 200 prompting techniques. He also partners with OpenAI to run what was the first and is the largest AI red teaming competition, HackAPrompt, which helps discover the most state-of-the-art prompt injection techniques (i.e. ways to get LLMS to do things it shouldn't). Sander teaches AI red teaming on Maven, advises AI companies on security, and has educated millions of people on the most state-of-the-art prompt engineering techniques.In this episode, you'll learn:1. The 5 most effective prompt engineering techniques2. Why “role prompting” and threatening the AI no longer works—and what to do instead3. The two types of prompt engineering: conversational and product/system prompts4. A primer on prompt injection and AI red teaming—including real jailbreak tactics that are still fooling top models5. Why AI agents and robots will be the next major security threat6. How to get started in AI red teaming and prompt engineering7. Practical defense to put in place for your AI products—Brought to you by:Eppo—Run reliable, impactful experimentsStripe—Helping companies of all sizes grow revenueVanta—Automate compliance. Simplify security—Where to find Sander Schulhoff:• X: https://x.com/sanderschulhoff• LinkedIn: https://www.linkedin.com/in/sander-schulhoff/• Website: https://sanderschulhoff.com/• AI Red Teaming and AI Security Masterclass on Maven: https://bit.ly/44lLSbC• Free Lightning Lesson “How to Secure Your AI System” on 6/24: https://bit.ly/4ld9vZL—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Sander Schulhoff(04:29) The importance of prompt engineering(06:30) Real-world applications and examples(10:54) Basic prompt engineering techniques(23:46) Advanced prompt engineering techniques(29:00) The role of context and additional information(39:24) Ensembling techniques and thought generation(49:48) Conversational techniques for better results(50:46) Introduction to prompt injection(52:27) AI red teaming and competitions(54:23) The growing importance of AI security(01:02:45) Techniques to bypass AI safeguards(01:05:21) Challenges in AI security and future outlook(01:18:33) Misalignment and AI's potential risks(01:25:03) Final thoughts and lightning round—Referenced:• Reid Hoffman's tweet about using AI agents: https://x.com/reidhoffman/status/1930416063616884822• AI Engineer World's Fair: https://www.ai.engineer/• What Is Artificial Social Intelligence?: https://learnprompting.org/blog/asi• Devin: https://devin.ai/• Cursor: https://www.cursor.com/• Inside Devin: The world's first autonomous AI engineer that's set to write 50% of its company's code by end of year | Scott Wu (CEO and co-founder of Cognition): https://www.lennysnewsletter.com/p/inside-devin-scott-wu• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Granola: https://www.granola.ai/• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (CEO and co-founder): https://www.lennysnewsletter.com/p/building-lovable-anton-osika• Inside Bolt: From near-death to ~$40m ARR in 5 months—one of the fastest-growing products in history | Eric Simons (founder & CEO of StackBlitz): https://www.lennysnewsletter.com/p/inside-bolt-eric-simons• Behind the product: Replit | Amjad Masad (co-founder and CEO): https://www.lennysnewsletter.com/p/behind-the-product-replit-amjad-masad• Everyone's an engineer now: Inside v0's mission to create a hundred million builders | Guillermo Rauch (founder and CEO of Vercel, creators of v0 and Next.js): https://www.lennysnewsletter.com/p/everyones-an-engineer-now-guillermo-rauch• Technique #3: Examples in Prompts: From Zero-Shot to Few-Shot: https://learnprompting.org/docs/basics/few_shot?srsltid=AfmBOor2owyGXtzJZ8n0fJVCctM7UPZgZmH-mBuxRW4t9-kkaMd3LJVv• The Prompt Report: Insights from the Most Comprehensive Study of Prompting Ever Done: https://learnprompting.org/blog/the_prompt_report?srsltid=AfmBOoo7CRNNCtavzhyLbCMxc0LDmkSUakJ4P8XBaITbE6GXL1i2SvA0• State-of-the-Art Prompting for AI Agents | Y Combinator: https://www.youtube.com/watch?v=DL82mGde6wo• Use XML tags to structure your prompts: https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/use-xml-tags• Role Prompting: https://learnprompting.org/docs/basics/roles?srsltid=AfmBOor2jcxJQvWBZyFa030Qt0fIIov3hSiWvI9VFyjO-Qp478EPJIU7• Is Role Prompting Effective?: https://learnprompting.org/blog/role_prompting?srsltid=AfmBOooiiyLD-0CsCYZ4m3SDhYOmtTyaTzeDo0FvK_i1x1gLM8MJS-Sn• Introduction to Decomposition Prompting Techniques: https://learnprompting.org/docs/advanced/decomposition/introduction?srsltid=AfmBOoojJmTQgBlmSlGYQ8kl-JPpVUlLKkL4YcFGS5u54JyeumUwlcBI• LLM Self-Evaluation: https://learnprompting.org/docs/reliability/lm_self_eval• Philip Resnik on X: https://x.com/psresnik• Anthropic's CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next• Introduction to Ensembling Prompting: https://learnprompting.org/docs/advanced/ensembling/introduction?srsltid=AfmBOooGSyqsrjnEbXSYoKpG0ZlpT278NHQA6Fd8gMvNTJlWu7-qEYzh• Random forest: https://en.wikipedia.org/wiki/Random_forest• Chain-of-Thought Prompting: https://learnprompting.org/docs/intermediate/chain_of_thought?srsltid=AfmBOoqwE7SXlluy2sx_QY_VOKduyBplWtIWKEJaD6FkJW3TqeKPSJfx• Prompt Injecting: https://learnprompting.org/docs/prompt_hacking/injection?srsltid=AfmBOoqGgqbfXStrD6vlw5jy8HhEaESgGo2e57jyWL8lkZKktt_P6Zvn• Announcing HackAPrompt 2.0: The World's Largest AI Red-Teaming Hackathon: https://learnprompting.org/blog/announce-hackaprompt-2?srsltid=AfmBOopXKsHxy4aUtsvPCUtEu7x74NCAEnlTIdNzo7nfMDVwZ9ilTlkp• Infant with rare, incurable disease is first to successfully receive personalized gene therapy treatment: https://www.nih.gov/news-events/news-releases/infant-rare-incurable-disease-first-successfully-receive-personalized-gene-therapy-treatment• Building a magical AI code editor used by over 1 million developers in four months: The untold story of Windsurf | Varun Mohan (co-founder and CEO): https://www.lennysnewsletter.com/p/the-untold-story-of-windsurf-varun-mohan• Copilot: https://copilot.microsoft.com/chats/rcxhzvKgZvz8ajUrKdBtX• GitHub Copilot: https://github.com/features/copilot• Defensive Measures: https://learnprompting.org/docs/prompt_hacking/defensive_measures/introduction• Sam Altman on X: https://x.com/sama• Three Laws of Robotics: https://en.wikipedia.org/wiki/Three_Laws_of_Robotics• Anthropic's new AI model turns to blackmail when engineers try to take it offline: https://techcrunch.com/2025/05/22/anthropics-new-ai-model-turns-to-blackmail-when-engineers-try-to-take-it-offline/• Palisade Research: https://palisaderesearch.org/• When AI Thinks It Will Lose, It Sometimes Cheats, Study Finds: https://time.com/7259395/ai-chess-cheating-palisade-research/• A.I. Chatbots Defeated Doctors at Diagnosing Illness: https://www.nytimes.com/2024/11/17/health/chatgpt-ai-doctors-diagnosis.html• 1883 on Paramount+: https://www.paramountplus.com/shows/1883/• Black Mirror on Netflix: https://www.netflix.com/title/70264888• Daylight Computer: https://daylightcomputer.com/• Theodore Roosevelt's quote: https://www.goodreads.com/quotes/622252-i-wish-to-preach-not-the-doctrine-of-ignoble-ease• HackAPrompt 2.0: https://www.hackaprompt.com/—Recommended books:• Ender's Game: https://www.amazon.com/Enders-Ender-Quintet-Orson-Scott/dp/0812550706• The River of Doubt: Theodore Roosevelt's Darkest Journey: https://www.amazon.com/River-Doubt-Theodore-Roosevelts-Darkest/dp/0767913736—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.lennysnewsletter.com/subscribe

Logan Kilpatrick from Google DeepMind talks about the latest developments in the Gemini 2.5 model family, including Gemini 2.5 Pro, Flash, and the newly introduced Flashlight. Logan also offers insight into AI development workflows, model performance, and the future of proactive AI assistants. Links Website: https://logank.ai LinkedIn: https://www.linkedin.com/in/logankilpatrick X: https://x.com/officiallogank YouTube: https://www.youtube.com/@LoganKilpatrickYT Google AI Studio: https://aistudio.google.com Resources Gemini 2.5 Pro Preview: even better coding performance (https://developers.googleblog.com/en/gemini-2-5-pro-io-improved-coding-performance) Building with AI: highlights for developers at Google I/O (https://blog.google/technology/developers/google-ai-developer-updates-io-2025) We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Let us know by sending an email to our producer, Em, at emily.kochanek@logrocket.com (mailto:emily.kochanek@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. (https://logrocket.com/signup/?pdr) Special Guest: Logan Kilpatrick.

Tauche ein in die Welt des Prompt Engineerings mit Joel Kaczmarek und Ruppert Bodmeier! In dieser Episode von digital kompakt geht es um die Kunst, KI-Modelle so zu steuern, dass sie genau das liefern, was du brauchst. Ruppert, ein Experte für Innovationsentwicklung bei Disrooptive, teilt seine Erfahrungen und Herausforderungen auf dem Weg zur perfekten KI-Nutzung. Erfahre, wie du durch gezieltes Prompt Engineering Wettbewerbsvorteile schaffen kannst und warum der Kontext dabei entscheidend ist. Lass dich inspirieren und entdecke, wie du die Zukunft der KI für dich nutzen kannst! Du erfährst... …wie Ruppert Bodmeier die Kunst des Prompt Engineering meistert und einzigartige Lösungen schafft …warum Beharrlichkeit und Resilienz im Umgang mit KI entscheidend sind …wie du durch präzise Kontextdefinitionen bessere KI-Ergebnisse erzielst …welche Rolle APIs spielen, um Wettbewerbsvorteile mit KI zu sichern …wie du mit modularen Befehlen und Ketten einzigartige Projekte realisierst __________________________ ||||| PERSONEN |||||

I spoke with an attorney who aggressively implements AI in his law firm, and teaches other lawyers to do the same.   Highlights 09:03 - AI and Prompt Engineering 18:46 - Perplexity and AI Search Engine 21:03 - Perplexity Partners with Legal Zoom 24:02 - Federal Regulations on AI 28:36 - Tools to Start with AI in Legal Practice   Episode Resources Connect with Jared Correia jared@redcavelegal.com  https://redcavelegal.com/  https://www.linkedin.com/in/jaredcorreia  https://twitter.com/RedCaveLegal  www.linkedin.com/in/jaredcorreia/  Connect with Josh Noffke https://www.brasstacksai.com/  https://www.linkedin.com/in/joshnoffke/   

Mark Ericksen, creator of the Elixir LangChain framework, joins the Elixir Wizards to talk about LLM integration in Elixir apps. He explains how LangChain abstracts away the quirks of different AI providers (OpenAI, Anthropic's Claude, Google's Gemini) so you can work with any LLM in one more consistent API. We dig into core features like conversation chaining, tool execution, automatic retries, and production-grade fallback strategies. Mark shares his experiences maintaining LangChain in a fast-moving AI world: how it shields developers from API drift, manages token budgets, and handles rate limits and outages. He also reveals testing tactics for non-deterministic AI outputs, configuration tips for custom authentication, and the highlights of the new v0.4 release, including “content parts” support for thinking-style models. Key topics discussed in this episode: • Abstracting LLM APIs behind a unified Elixir interface • Building and managing conversation chains across multiple models • Exposing application functionality to LLMs through tool integrations • Automatic retries and fallback chains for production resilience • Supporting a variety of LLM providers • Tracking and optimizing token usage for cost control • Configuring API keys, authentication, and provider-specific settings • Handling rate limits and service outages with degradation • Processing multimodal inputs (text, images) in Langchain workflows • Extracting structured data from unstructured LLM responses • Leveraging “content parts” in v0.4 for advanced thinking-model support • Debugging LLM interactions using verbose logging and telemetry • Kickstarting experiments in LiveBook notebooks and demos • Comparing Elixir LangChain to the original Python implementation • Crafting human-in-the-loop workflows for interactive AI features • Integrating Langchain with the Ash framework for chat-driven interfaces • Contributing to open-source LLM adapters and staying ahead of API changes • Building fallback chains (e.g., OpenAI → Azure) for seamless continuity • Embedding business logic decisions directly into AI-powered tools • Summarization techniques for token efficiency in ongoing conversations • Batch processing tactics to leverage lower-cost API rate tiers • Real-world lessons on maintaining uptime amid LLM service disruptions Links mentioned: https://rubyonrails.org/ https://fly.io/ https://zionnationalpark.com/ https://podcast.thinkingelixir.com/ https://github.com/brainlid/langchain https://openai.com/ https://claude.ai/ https://gemini.google.com/ https://www.anthropic.com/ Vertex AI Studio https://cloud.google.com/generative-ai-studio https://www.perplexity.ai/ https://azure.microsoft.com/ https://hexdocs.pm/ecto/Ecto.html https://oban.pro/ Chris McCord's ElixirConf EU 2025 Talk https://www.youtube.com/watch?v=ojL_VHc4gLk Getting started: https://hexdocs.pm/langchain/gettingstarted.html https://ash-hq.org/ https://hex.pm/packages/langchain https://hexdocs.pm/igniter/readme.html https://www.youtube.com/watch?v=WM9iQlQSFg @brainlid on Twitter and BlueSky Special Guest: Mark Ericksen.

When legal ops meets the AI data revolution, what does it actually look like on the ground? In this episode, Mary O'Carroll sits down with Aaron Bromagem, Head of Legal Operations at Snowflake, to talk about what it means to lead legal ops inside one of the top AI and data companies—and why the role today is barely recognizable from just a few years ago. Aaron shares how his team is navigating breakneck change, massive expectations from leadership, and a vendor landscape that's expanding faster than anyone can track. If you've ever felt like your strategy gets outdated before you even finish writing it down, this one's for you. In this episode: Navigating Uncertainty: Aaron opens up about what it's like to lead in an environment where priorities shift every quarter—and why nimbleness beats planning. GCs as Technologists: The modern general counsel is demanding more data, faster delivery, and deeper insights. Here's what that means for legal ops. The Rise of the Legal Data Model: How Snowflake built a system to turn legal operations data into reliable enterprise intelligence—and why it's powering product features now. Prompt Engineering vs. Agent Workflows: As AI evolves, are we moving from writing prompts to building complex legal workflows powered by agents? The Vendor Maze: Why every legal tech vendor says the same thing—and how Aaron separates the useful from the fluff. A New Profile for Legal Ops: Technical backgrounds, data fluency, and an operations-first mindset—Aaron and Mary discuss how the ideal candidate is changing. If you're in legal ops and feel like you're barely keeping up with the pace of change, you're not alone. But as Aaron shows, with the right mindset and tools, there's huge opportunity in the chaos. Follow Mary on LinkedIn Rate and review on Apple Podcasts

This week I had the pleasure of sitting down with Gary Waldron, an author and speaker who has truly mastered the art of reinvention. With a fascinating career trajectory that spans 44 jobs, including being a school teacher, consultant, and even a topless waiter, Gary shares his profound insights on adapting to change and the necessity of reinvention in today’s volatile world. We had violent agreement on so many topics that it's like Gary is 'a brother from another mother'. We explored topics surrounding his book, "Mastering the Art of Reinvention," and delved into the mindset shifts required to view life’s challenges as growth opportunities. Gary also discusses how to harness AI's power effectively in one’s career for those looking to reinvent themselves, allowing for growth without traditional boundaries. What You'll Learn: The Concept of Reinvention: Understand why reinvention is not solely the end goal but a continual process of adapting to new opportunities. The Role of Genetics in Change: Discover the link between the dopamine receptor gene and novelty-seeking behaviour, explaining why some are more inclined to embrace change. Understanding and Leveraging AI: Learn how AI can propel personal and professional growth by providing democratised access to information and creative exploration. Coping with Life Changes: Gain insights into handling significant life transitions, such as career shifts or personal upheavals, through Gary's personal experiences. Creating a Growth Mindset: Develop a mindset that views challenges as experiments, encouraging proactive action rather than fear-induced paralysis. Key Takeaways: Embrace Change: Accept that change is constant and inevitable; the more you practice adaptation, the easier it becomes. Mindset Matters: How you perceive challenges—as either threats or opportunities—significantly influences your ability to navigate them. Quality Prompts Make a Difference: In the age of AI, the quality of the questions you ask can dictate the usefulness of the solutions you receive. Authenticity and Values: Aligning your actions with your core values such as authenticity can guide you successfully through transformations. Living Fully in the Present: While planning for the future is crucial, excessive focus on it or dwelling in the past can detract from present contentment. Resources: Visit Gary Waldon: For more insights and services, including speaking engagements and consulting, check out Gary's website. Gary's Latest Book: "Mastering the Art of Reinvention" is available in all major bookstores for those interested in exploring these ideas further. Personal Development Guides: For ongoing personal growth tips, subscribe to our podcast for more enriching discussions. Support the Podcast: If you found this episode enlightening, we’d love your support! Consider subscribing, rating, and leaving a review on your favourite podcast platform to help us reach others who might benefit from these conversations. Support and Share: Share this episode with someone navigating change; it might provide the encouragement and direction they need. 00:38 Mastering the Art of Reinvention 01:48 The Dopamine Gene and Novelty Seeking 03:08 Navigating Career Changes 04:13 Diverse Job Experiences 09:07 Personal Growth and Challenges 23:36 The Role of Values in Reinvention 32:03 AI and the Future of Work 34:31 Exploring AI in Book Design 35:15 The Power of Prompt Engineering 37:18 Turning Challenges into Growth Opportunities 38:11 The Six-Step Process of Reinvention 38:33 Embracing Change and Building Resilience 39:36 The Importance of Self-Reflection 44:35 The Role of Action in Overcoming Fear 48:32 Living in the Present Moment 50:38 The Illusion of Happiness 01:01:56 The Power of Laughter and Enjoyment See omnystudio.com/listener for privacy information.

AI, Automation, and the Future of Jobs: A Critical Discussion JOIN OUR DISCORD CHANNEL https://discord.gg/4uwxk6TN6r Support us at: buymeacoffee.com/techpodcast In this episode of Project Synapse's Friday morning coffee chat, the team dives deep into the impact of AI on the job market, sparked by Dario Amodei's candid warning about impending job losses. The conversation covers a range of topics, from the evolution of AI capabilities to the societal implications of mass unemployment. They discuss the historical mishandlings of technological revolutions and express hope for a future where AI can elevate human potential rather than displace it. The team also explores the latest advancements in AI, such as Anthropic's Claude 4 and its impressive coding capabilities, and speculates on the mysterious 'everything device' that might redefine personal technology. Join Jim, Marcel, and John as they navigate the complexities and possibilities of our AI-driven future. 00:00 Introduction to Project Synapse 00:17 AI's Impact on Jobs: A Stark Reality 01:56 Anthropic's CEO Speaks Out 02:23 The White Collar Blood Bath 03:10 The Future of Work and AI 04:51 Historical Parallels and Outsourcing 06:58 Technological Advancements and Society 09:57 The Need for Universal Basic Income 26:23 The Role of AI in Programming 29:53 Introduction to Cursor and YOLO Mode 30:52 Advancements in AI Models: From 3.5 to 4.0 33:13 The Power of Infinite Context in AI 34:20 Comparing AI Tools: ChatGPT vs. Claude 40:08 The Rise of Google and Gemini in AI 43:58 The Future of AI Devices: Johnny Ive and Sam Altman's Vision 52:14 The Evolution of AI Interaction and Prompt Engineering 54:51 Conclusion and Final Thoughts

A live SXSW panel on how employee complaints illuminate the path to organizational innovation.Wrong question: How can AI revolutionize productivity in my organization?Right question: What do my employees hate most about their jobs?For the Portland Trail Blazers, a winning game plan for AI implementation didn't begin with a tech-first approach — it began with a talk-first one. “The whole concept was to talk about pain points," explains David Long, VP of Digital Innovation, describing the "Lunch and Launch" sessions where employees could openly share frustrations about their daily work. “People really enjoy talking about what they hate about their jobs,” says Christa Stout, Executive Vice President and Chief Strategy & Innovation Officer, and as they did, they illuminated opportunities for optimization. “By getting this insight across the whole company, it is already opening our eyes [to how] we can potentially transform the business more broadly,” Stout says.In this special live episode of Think Fast, Talk Smart, recorded at SXSW, host Matt Abrahams leads a panel with Long, Stout, and Stanford colleague Jeremy Utley, exploring how "catharsis catalyzes change.” For any team wanting to implement new technology or rethink workflows, these experts reveal how creating space for complaints can catalyze meaningful innovation throughout an organization.Episode Reference Links:Jeremy UtleyDavid LongChrista StoutEp.77 Quick Thinks: AI Has Entered The Chat – A "Conversation" with ChatGPTEp.134 How to Chat with Bots: The Secrets to Getting the Information You Need from AI  Connect:Premium Signup >>>> Think Fast Talk Smart PremiumEmail Questions & Feedback >>> hello@fastersmarter.ioEpisode Transcripts >>> Think Fast Talk Smart WebsiteNewsletter Signup + English Language Learning >>> FasterSmarter.ioThink Fast Talk Smart >>> LinkedIn, Instagram, YouTubeMatt Abrahams >>> LinkedInChapters:(00:00) - Introduction (04:42) - The Business Behind Basketball (06:13) - Why AI and Why Now? (07:21) - Collaborating with the Team (08:39) - The Lunch & Launch Method (11:11) - Branding AI Initiatives (12:29) - David Detractor & Kelly Kindness (16:00) - Human Connection through AI (16:45) - Auditing for Brand Consistency (18:53) - AI in National Parks (21:36) - Making AI Personal (22:58) - Using AI to Learn AI (27:27) - Encouraging AI in the Workplace (30:21) - Change Management: Iteration Over Perfection (34:07) - Start with Curiosity and Empower Action (37:50) - Communication Ingredients (39:22) - Conclusion   ********This episode is sponsored by LinkedIn. Dare to discover what's next. Explore your job potential at LinkedIn. Become a Faster Smarter Supporter by joining TFTS Premium.  

Create fine-tuned, task-specific models that write like you by teaching models using expert knowledge, tone, and structure - with reference information directly attached to the models themselves using Microsoft 365 Copilot Tuning. Fine-tuning adds new skills to foundational models, simulating experience in the tasks you teach the model to do. This complements Retrieval Augmented Generation, which in real-time uses search to find related information, then add that to your prompts for context. Fine-tuning helps ensure that responses meet your quality expectations for specific repeatable tasks, without needing to be prompting expert. It's great for drafting complex legal agreements, writing technical documentation, authoring medical papers, and more - using detailed, often lengthy precedent files along with what you teach the model. Using Copilot Studio, anyone can create and deploy these fine-tuned models to use with agents without data science or coding expertise. There, you can teach models using data labeling, ground them in your organization's content - while keeping the information in-place and maintaining data security and access policies. The information contained in the task-specific models that you create stay private to your team and organization. Task-specific models and related information are only accessible to the people and departments you specify - and information is not merged into shared large language models or used for model training. Jeremy Chapman, Director on the Microsoft 365 product team, shows how this simple, zero-code approach helps the agents you build write and reason like your experts—delivering high-quality, detailed responses.  ► QUICK LINKS: 00:00 - Fine-tune Copilot 01:21 - Tailor Copilot for specialized tasks 05:12 - How it works 05:57 - Create a task-specific model 07:43 - Data labeling 08:59 - Build agents that use your fine-tuned model 11:42 - Wrap up ► Unfamiliar with Microsoft Mechanics? As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics  

What if the world's most connected tech investor handed you his mental playbook? Elad Gil, an investor behind Airbnb, Stripe, Coinbase and Anduril, flips conventional wisdom on its head and prioritizes market opportunities over founders. Elad decodes why innovation has clustered geographically throughout history, from Renaissance Florence to Silicon Valley, where today 25% of global tech wealth is created. We get into why he believes AI is dramatically under-hyped and still under-appreciated, why remote work hampers innovation, and the self-inflicted wounds that he's seen kill most startups.   This is a masterclass in pattern recognition from one of tech's most consistent and accurate forecasters, revealing the counterintuitive principles behind identifying world-changing ideas.  Disclaimer: This episode was recorded in January. The pace of AI development is staggering, and some of what we discussed has already evolved. But the mental models Elad shares about strategy, judgment, and high-agency thinking are timeless and will remain relevant for years to come. Approximate timestamps: Subject to variation due to dynamically inserted ads. (2:13) - Investing in Startups (3:25) - Identifying Outlier Teams (6:37) - Tech Clusters (9:55) - Remote Work and Innovation (11:19) - Role of Y Combinator (15:19) - The Waves of AI Companies (20:24) - AI's Problem Solving Capabilities (26:13) - AI's Learning Process (30:41) - Prompt Engineering and AI (32:00) - AI's Role in Future Development (34:37) - AI's Impact on Self-Driving Technology (40:16) - The Role of Open Source in AI (43:23) - The Future of AI in Big Players (44:23) - Regulation and Safety Concerns in AI (49:11) - Common Self-Inflicted Wounds (51:34) - Scaling the CEO and Avoiding Conventional Wisdom (55:21) - Workplace Culture (58:39) - Patterns Among Outlier CEOs (1:15:50) - Remote Work and its Implications (1:18:47) - The Impact of Clusters and Exceptional Individuals (1:25:41) - Investing in Defense Technology (1:27:38) - Business Model Shift in the Defense Industry (1:31:46) - Changes in Warfare SHOPIFY: Upgrade your business and get the same checkout I use. Sign up for your one-dollar-per-month trial period at shopify.com/knowledgeproject NORDVPN: To get the best discount off your NordVPN plan go to nordvpn.com/KNOWLEDGEPROJECT. Our link will also give you 4 extra months on the 2-year plan. There's no risk with Nord's 30 day money-back guarantee! Newsletter - The Brain Food newsletter delivers actionable insights and thoughtful ideas every Sunday. It takes 5 minutes to read, and it's completely free. Learn more and sign up at ⁠fs.blog/newsletter⁠ Upgrade — If you want to hear my thoughts and reflections at the end of the episode, join our membership: ⁠⁠⁠⁠⁠⁠⁠⁠fs.blog/membership⁠⁠⁠ and get your own private feed. Watch on YouTube: ⁠@tkppodcast Learn more about your ad choices. Visit megaphone.fm/adchoices

Dean Pleban and Liron Itzhakhi Allerhand explore what it really takes to move LLMs into production. They cover how to define clear requirements, prep data for RAG, engineer effective prompts, and evaluate model performance using concrete metrics. The conversation dives into managing sensitive data, avoiding leakage, and why crisp outputs and clear user intent matter. Plus: future trends like in-context learning and the decoupling of foundation models from vertical apps.Join our Discord community:https://discord.gg/tEYvqxwhah ---Timestamps:00:00 Introduction01:48 Phases of LLM Project Development03:32 Defining the Problem09:35 Data Preparation and Understanding23:59 Multimodal RAG26:28 Prompt Engineering & Model Selection27:58 Model Fine-tuning & Customization33:18 LLM as a Judge38:58 Evaluating Model Performance and Handling Hallucinations41:02 Using LLMs with sensitive data45:24 Other ideas for model evaluation and guardrails49:28 Recommendations for the audience➡️ Liron Itzhaki Allerhand on LinkedIn – https://www.linkedin.com/in/liron-izhaki-allerhand-16579b4/

Prepare to see banking in a new light! Cindi Howson and Macquarie Bank's data trailblazer, Ashwin Sinha (Chief Data Officer), go deep into the AI revolution transforming financial services. Discover how one of Australia's most dynamic financial institutions, Macquarie Bank, is wielding the disruptive force of generative AI, not just for efficiency, but to combat high-stakes threats like fraud. Plus, discover the remarkable evolution of the data analyst from report-generator to AI-powered strategic powerhouse!Key Moments: Drivers of Digital Transformation (04:36): Ashwin outlines the key factors driving a digital transformation and early cloud adoption, emphasizing customer obsession, improving turnaround times, and ensuring technology reliability.  Leveraging Dual Cloud Providers (12:25): Ashwin discusses Macquarie Bank's use of AWS for infrastructure and core applications and Google Cloud (GCP) for its digital and data stack, including AI capabilities.  The Power of Gen AI in Analytics (14:16): Ashwin explores the role of generative AI in enhancing productivity for data analysts, particularly through prompt engineering and tools like ThoughtSpot.  Empowering Analysts Through Evolution (16:56): Ashwin details Macquarie Bank's successful strategy for evolving the data analyst role by proactively introducing self-service analytics, emphasizing upskilling, and enabling analysts to concentrate on higher-impact activitiesCombating Data Risk and Fraud Prevention (26:04): Ashwin discusses the increasing threat of scams and fraud and details Macquarie's two-pronged approach: educating customers and employing AI and machine learning to detect and prevent fraudulent activities.  Importance of Prompt Engineering (32:57): Ashwin stresses the significance of prompt engineering as a general-purpose technology that can drive productivity across various business functions, not just within technical roles.  Key Quotes:"There is always a big backlog in most organizations, which you cannot get done just because you do not have enough capacity. You cannot prioritize them. You cannot execute fast enough. And so, what prompt engineering and GenAI broadly does is take away the low-value tasks that you could just use AI and machine learning to do for you." - Ashwin Sinha"Prompt engineering—even though it has 'engineering' in it— I see that as a general-purpose technology. It's a bit like we've just got access to a super powerful search with a lot more analytical and reasoning capability. That's how I think of the usage of any of the foundational or large language models for, you know, the general population who are not in engineering or technical roles. Whether they're in business roles, sales and distribution, finance, marketing, or any of those functions, the use of prompt engineering just enables the next level of productivity for them. - Ashwin SinhaMentionsPrompt Engineering in the Age of AIAI Agent GovernanceThoughtSpot Spotter: Your AI AnalystScuba Diving and the History of the Liberty Shipwreck in BaliThe Importance of Child Education in IndiaGuest Bio Ashwin Sinha is the Chief Data Officer and Executive Director at Macquarie Bank, where he oversees the strategy and execution of Data and AI. Before joining Macquarie in 2019, Ashwin was a Partner at KPMG, leading the Data business. He has also held various global software engineering, start-up, and consulting roles over the past 22 years, focusing on data and digital transformations. Outside work, Ashwin is passionate about child education and macroeconomics Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

Learn how to leverage advanced AI strategies that most business owners miss The untapped potential of artificial intelligence for business growth. The conversation explores how most people are barely scratching the surface of AI's capabilities, sharing practical examples of how AI can research prospects, create marketing campaigns, build prototypes, and even write books in a fraction of the time traditional methods require. Mike Koenigs is the author of "The AI Accelerator" and founder of the Superpower Accelerator. As one of Charles' early mentors, Mike has consistently stayed ahead of marketing trends and now helps business owners harness AI to expand their capabilities, create one-person marketing teams, elevate their authority, and scale without adding headcount. His innovative "thousand dollars cup of coffee" campaign demonstrates how AI-powered research can transform client consultations and dramatically increase revenue. KEY TAKEAWAYS: Most businesses only scratch the surface of AI potential, using basic ChatGPT instead of the full AI ecosystem. Quality AI output directly reflects quality input—effective prompt crafting is essential. Successful AI adoption requires understanding possibilities, selecting right tools, and focusing on four key functions. Being "tool agnostic" is crucial—multiple AI models provide better insights than any single tool. AI's greatest advantage comes from unleashing imagination and asking better questions. Create AI style guides to capture brand voice and apply consistently across all content. The "one-person marketing department" is now possible through comprehensive AI tools. Mike's "thousand dollars cup of coffee" model demonstrates how AI research transforms high-ticket sales. Websites: Main Website: https://superpoweraccelerator.com/ AI Accelerator: https://ai.mikekoenigs.com/ Book Website: https://aiaccelerator.mikekoenigs.com/ Social Media: LinkedIn: https://www.linkedin.com/in/mikekoenigs/ Growing your business is hard, but it doesn't have to be. In this podcast, we will be discussing top level strategies for both growing and expanding your business beyond seven figures. The show will feature a mix of pure content and expert interviews to present key concepts and fundamental topics in a variety of different formats. We believe that this format will enable our listeners to learn the most from the show, implement more in their businesses, and get real value out of the podcast. Enjoy the show. Please remember to rate, review and subscribe to the podcast so you don't miss any future episodes. Your support and reviews are important and help us to grow and improve the show. Follow Charles Gaudet and Predictable Profits on Social Media: Facebook: facebook.com/PredictableProfits Instagram: instagram.com/predictableprofits Twitter: twitter.com/charlesgaudet LinkedIn: linkedin.com/in/charlesgaudet Visit Charles Gaudet's Wesbites: www.PredictableProfits.com

Send us a textIn this final part of the Katie Smith trilogy on the Customer Success Playbook, we enter the brave new world of AI and marketing. Host Kevin Metzger explores the promises and pitfalls of generative tools with Katie, who brings her thoughtful and grounded take on how businesses can embrace automation while fiercely protecting their authenticity. If you've ever wondered how to use AI effectively without sounding like a robot, this one's for you.Detailed Analysis: AI isn't going anywhere—and that's exactly why it's time to get strategic. Katie Smith walks listeners through the essentials of adopting AI in a way that enhances rather than dilutes your marketing. The episode kicks off with her advice on building internal AI policies: what your team will use AI for, what it won't, and how to protect sensitive data along the way. Her mantra? Be proactive, not reactive.Katie also shares her go-to applications of AI in the creative process:Use AI as a co-creator to spark content ideas and draft early versionsTrain AI with your brand's voice and tone to maintain consistencyStay vigilant about hallucinations and homogenized contentShe emphasizes the importance of human review at every stage, especially when publishing customer-facing materials. AI is a brilliant assistant, but not a final authority.The discussion evolves into deeper insights on lead generation and real-time responsiveness. Kevin adds his own tricks for applying brand tone through prompt engineering and post-processing, offering a compelling use case that blends Claude, GPTs, and content repurposing magic.Finally, the two zoom out to a broader question: How do you optimize your brand for AI-driven search and recommendations? It's an emerging discipline with massive implications, and Katie teases what's to come from leaders in B2B and digital strategy.Whether you're testing the AI waters or already building internal GPTs, Katie's thoughtful approach provides the guardrails needed to preserve quality and trust in a world of automation.Now you can interact with us directly by leaving a voice message at https://www.speakpipe.com/CustomerSuccessPlaybookPlease Like, Comment, Share and Subscribe. You can also find the CS Playbook Podcast:YouTube - @CustomerSuccessPlaybookPodcastTwitter - @CS_PlaybookYou can find Kevin at:Metzgerbusiness.com - Kevin's person web siteKevin Metzger on Linked In.You can find Roman at:Roman Trebon on Linked In.

Can a pivot to AI actually save a company? In the case of Gamma, it did that and more. In this episode of Generative Now, host Michael Mignano, partner at Lightspeed, talks with Jon Noronha, the co-founder of Gamma, an AI-powered platform that helps users create interactive and engaging presentations, websites, and social media assets. Nearly four decades since the creation of PowerPoint, they talk about how Gamma is treading new ground in the presentation space. Jon discusses how Gamma almost failed until they made the bold decision to pivot to AI in 2023, and how that move brought them millions of new users around the world. They get into the company's initial struggle for product-market fit, the impact of generative AI models like ChatGPT and Stable Diffusion, and the strategic moves they made to adapt and thrive. Jon also shares where he thinks Gamma might go next. Episode Chapters:(00:00) Welcome and Introduction(00:41) Founding Gamma and Initial Vision(04:00) Challenges and Pivot to AI(07:04) AI Integration and Breakthrough(08:38) Expanding Beyond Presentations(15:45) User Experience and Prompt Engineering(20:11) Building Value Beyond AI(21:14) Competing with Industry Giants(25:03) The Future of AI Interfaces(29:43) Voice Interaction and AI(34:35) Gamma's Growth and Team Dynamics(36:47) Anticipating AI Model Innovations(39:05) Conclusion Stay in touch:www.lsvp.comX: https://twitter.com/lightspeedvpLinkedIn: https://www.linkedin.com/company/lightspeed-venture-partners/Instagram: https://www.instagram.com/lightspeedventurepartners/Subscribe on your favorite podcast app: generativenow.coEmail: generativenow@lsvp.comThe content here does not constitute tax, legal, business or investment advice or an offer to provide such advice, should not be construed as advocating the purchase or sale of any security or investment or a recommendation of any company, and is not an offer, or solicitation of an offer, for the purchase or sale of any security or investment product. For more details please see lsvp.com/legal.

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Scholarship Form Link - https://bit.ly/tallyform_scholarshipWebsite - https://bit.ly/data_science_aiCheck out BeerBiceps SkillHouse's Designing For Clicks Course - https://bbsh.co.in/ra-yt-vid-dfcShare your guest suggestions hereLink - https://shorturlbe.lvl.fit/install/3vcgss3vBeerBiceps SkillHouse को Social Media पर Follow करे :-YouTube : https://www.youtube.com/channel/UC2-Y36TqZ5MH6N1cWpmsBRQ Instagram : https://www.instagram.com/beerbiceps_skillhouseWebsite : https://beerbicepsskillhouse.inFor any other queries EMAIL: support@beerbicepsskillhouse.comIn case of any payment-related issues, kindly write to support@tagmango.comLevel Supermind - Mind Performance App को Download करिए यहाँ से

In this episode, I unlock the secrets to crafting powerful prompts that get you the exact results you need from Gemini and other large language models (LLMs). I introduce the RICCE framework, a practical system designed to help you communicate effectively with AI and achieve optimal output. Think of RICCE as your training wheels for prompt engineering. By mastering these techniques, you'll gain the confidence and skills to harness the true potential of AI for your business. What You'll Learn: A clear and actionable breakdown of the RICCE framework for prompt engineering. Practical strategies for defining roles, providing context, setting constraints, and using examples to guide AI. How to iterate and refine your prompts for continuous improvement and better results. Episode Outline: 00:00 Introduction: Getting Real Results from AI 00:12 Understanding Prompt Engineering 00:21 The RICCE Framework Overview 08:35 Iterative Process: Refining Your Prompts 09:14 Gemini's Unique Strengths 11:44 The AI Work Buddy: Your Personalized AI Assistant 13:58 Conclusion and Recap SHOW TRANSCRIPT & NOTES: https://theaihat.com/gemini-prompt-engineering-get-the-results-you-want/ Grab the free AI Work Buddy: https://theaihat.com/aiworkbuddy/ AI Prompt Library with 40+ Prompts: https://theaihat.com/your-teams-ai-playbook-how-to-build-and-use-an-ai-prompt-library-for-business/ AI Training for Business Leaders & Teams: https://theaihat.com/ai-training-for-business/ Brought to you by The AI Hat - Get Your AI On. Interesting in sponsoring an episode? Learn more here. Powered by Magai - why choose one AI tool when you can have them all? And Descript, the magic wand for podcasters. Produced and Hosted by Mike Allton, AI Consultant & Trainer at The AI Hat, where he's tirelessly helping businesses and marketers get ahead of the AI Revolution and apply advanced technologies to their roles. He's spent over a decade in digital marketing, bringing an unparalleled level of experience and excitement to the fore, whether he's delivering a presentation or leading a workshop. If you're interested in helping business owners with AI in an upcoming episode, reach out to Mike. Powered by the Marketing Podcast Network. Learn more about your ad choices. Visit megaphone.fm/adchoices

Check out BeerBiceps SkillHouse's Designing For Clicks Course - https://bbsh.co.in/ra-yt-vid-dfcShare your guest suggestions hereLink - https://forms.gle/aoMHY9EE3Cg3Tqdx9BeerBiceps SkillHouse को Social Media पर Follow करे :-YouTube : https://www.youtube.com/channel/UC2-Y36TqZ5MH6N1cWpmsBRQ Instagram : https://www.instagram.com/beerbiceps_skillhouseWebsite : https://beerbicepsskillhouse.inFor any other queries EMAIL: support@beerbicepsskillhouse.comIn case of any payment-related issues, kindly write to support@tagmango.comLevel Supermind - Mind Performance App को Download करिए यहाँ से

In this episode, Devin McNulty, founder of Funmentum Labs and creator of Funware, joins us to explore what happens when you treat fun not as fluff—but as a powerful lever for doing serious work.After 15 years of leading high-stakes strategy and innovation workshops for Fortune 500 teams, Devin set out to scale his approach. The result: Funware, an AI-powered facilitation tool that helps hybrid teams run faster, more creative workshops—without needing a pro facilitator in the room. He shares how it works: from AI that rephrases vague challenges into crisp prompts, to bots that throw out just-bad-enough ideas to unlock new thinking.We dive into the deep end of design choices—why Devin treats AI like a co-facilitator, not a thought partner, and how he builds in levity and timing to shift posture in skeptical rooms. He talks about “pre-training” AI the same way you'd brief a human teammate, and what it means to productize your own facilitation brain.The conversation is also a blueprint for AI-first entrepreneurship: how to turn creative intuition into software, how to build with (and not for) users, and how to design tools that spark real interaction—not just outputs.Whether you're leading workshops, building internal tools, or trying to make your team more idea-generative, this episode is packed with insights on creative AI, team dynamics, and the future of facilitation.Key Takeaways:Fun Is a Strategic Tool—Not a Distraction – Devin challenges the assumption that “fun” and “serious work” are at odds. His facilitation method uses play to unlock alignment, compress timelines, and spark better ideas—especially in rooms that normally resist creative approaches.AI Can Facilitate, Not Just Assist – Most teams use AI as a solo tool or sidekick. Devin flips the script—designing AI to act like a group facilitator. Funware injects prompts, rephrases challenges, and even drops well-timed bad ideas to shift group dynamics and drive progress.Pre-training Your AI Is Like Prepping a Human Teammate – One of Devin's biggest insights: treat your AI agents like collaborators. Build them with clear intent, layer in prompting strategy, and fine-tune them for the moment they'll be used—just like you'd brief a co-facilitator before a workshop.Productizing Yourself Is the New Playbook – Devin's journey is a case study in AI-first entrepreneurship—turning deep craft into software. His advice? Start with your workflow, atomize it into repeatable components, and build tools that deliver value with the push of a button.Website: Funmentum™ LabsLinkedIn: Devin McNulty | LinkedIn00:00 Intro to Funmentum Labs & Funware00:38 Why Fun Is a Powerful Work Strategy01:41 Overcoming Skepticism in Serious Workplaces02:27 Techniques to Engage Resistant Teams06:32 Can AI Be Funny? Humor in Corporate Settings08:03 How Funware Uses AI to Drive Group Creativity11:43 Automating Workshops with AI-Powered Prompts14:04 Devin's Path from Facilitator to AI Builder16:21 Advanced Prompting Techniques in Funware28:34 Creative Prompting: Logos, Personas & Play30:04 Exercises to Push Beyond Obvious Ideas31:35 How AI Unlocks Group Innovation36:55 Pre-Training AI for Better Collaboration43:35 Using AI as Muse, Challenger & Focuser48:46 Final Thoughts

Is prompt fatigue a thing? Evidently, yes, and it's affecting many AI users. In this discussion, find out if you're experiencing it too and what you can do to get the results you need without pulling your hair out.Find out more at https://muncheye.com/writix-ai MunchEye City: London Address: London Office 15 Harwood Road, , London, England United Kingdom Website: https://muncheye.com/

I sat down with Jacob Posel right after OpenAI launched their image generation API, literally the same day, and we talked about the massive wave of opportunity that's about to hit. If you've got a laptop, internet, and time, now's your moment.Jacob shared two main paths to make money fast with AI images. We explored how fun and simple image ideas can turn into real businesses, and how most people still don't even know what these tools can do. We got into the tactics too. Jacob explained how to launch fast, how to pitch to ad agencies, and why offering this as a white-labeled service could be a game changer. I even bought a domain live during the episode, right in the middle of the conversation.You can follow Jacob on X: @jacob_posel or find him on LinkedIn. If you're building something cool, reach out. He wants to see it.Timestamps below. Enjoy!---Watch this on YouTube instead here: tkopod.co/p-ytAsk me a question on or off the show here: http://tkopod.co/p-askLearn more about me: http://tkopod.co/p-cjkLearn about my company: http://tkopod.co/p-cofFollow me on Twitter here: http://tkopod.co/p-xFree weekly business ideas newsletter: http://tkopod.co/p-nlShare this podcast: http://tkopod.co/p-allScrape small business data: http://tkopod.co/p-os---00:00 The Dawn of AI Image Generation02:58 Opportunities for Entrepreneurs in AI05:47 Building an Agency with AI Tools09:07 Prompt Engineering and Best Practices11:59 Micro-Personalization in Marketing14:52 Creative Applications of Image Generation18:13 Navigating the Future of Advertising21:08 Collaborating with Ad Agencies23:59 The Importance of Focus in Entrepreneurship

Unlock the future of executive search operations with this episode of The Full Desk Experience. Dive into actionable strategies and decision points that will help you harness AI to drive your firm's growth and competitive advantage.Key highlights:Discover the six essential decisions for integrating AI in your recruiting workflow, from optimizing at the recruiter or firm level to choosing the right ownership model for your AI tools.Why focusing on mastering core AI platforms is far more valuable than chasing the endless parade of new “wrapper” apps.Practical frameworks for assessing where AI will deliver the highest ROI: from streamlining candidate presentations to enhancing your business development and back-office operations.Insightful guidance on conducting a strategic, firm-wide AI audit versus simply winging adoption as you go.The critical value of “influence over efficiency”—how AI can drive not only productivity but better outcomes in client and candidate management.Is now the time to standardize your firm's AI knowledge, or nurture entrepreneurial recruiters? Will specialized AI tools survive the coming market shakeout?Tune in to get clarity—and learn how to put these strategies to work in your own practice._________________Tools mentioned in this episode:AI Tools & Large Language ModelsChatGPT (by OpenAI)Gemini (by Google)Claude (by Anthropic)CopilotPerplexityDeepSeekRecruiting/Industry ToolsCrelate Copilot (Crelate's AI assistant for recruiting)Zoom (specifically for the AI Companion functionality)MetaviewZoomInfoApolloLinkedIn Recruiter_________________Follow Tricia on LinkedIn: https://www.linkedin.com/in/triciatamkin/Follow Jason on LinkedIn: https://www.linkedin.com/in/jasonthibeault/Learn more about Moore Essentials here: https://mooreessentials.com/Want to learn more about Crelate? Book a demo hereFollow Crelate on LinkedIn: https://www.linkedin.com/company/crelate/Subscribe to our newsletter: https://www.crelate.com/blog/full-desk-experience

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La revue de presse telle qu'on l'a connaît avec ses documentalistes et ses analystes est-elle écraser par l'IA générative? Dans cet épisode, je reçois Marvin Amuzu, cofondateur d'Abstrakt, une startup qui veut repenser la revue de presse avec l'intelligence artificielle. Diplômé d'une école de commerce devenu software engineer, Marvin a un parcours à l'image de sa génération : hybride, curieux, et agile. Ensemble, on parle d'IA, de veille, de fake news et bien sûr d'esprit critique.Au programme :Abstrakt automatise la revue de presse en combinant IA et intervention humaineLe métier de documentaliste ne disparaît pas, il se transforme avec la technologiePour lutter contre les fake news, l'approche multi-sources et factuelle est essentielleL'IA devient un “super stagiaire” pour gagner du temps sur les tâches répétitivesL'important n'est pas de déléguer, mais de comprendre l'outil pour mieux l'utiliserLe prompt devient une nouvelle compétence de base, dès le collègeApprendre à questionner l'IA, c'est apprendre à apprendreLa nouvelle interface de l'IA change notre rapport à la recherche d'infoLe contenu généré à la chaîne n'est pas meilleur, juste plus abondantDans quelques années, l'IA tournera en local : enjeux éthiques et de confidentialitéUne conversation qui interroge autant notre rapport à l'info qu'au travail. Marvin propose une vision lucide, entre automatisation, éducation et esprit critique. À écouter si vous vous posez des questions sur la transformation du métier de documentaliste, l'apprentissage des jeunes, ou l'usage raisonné de l'IA.Ecoutez cet épisode pour comprendre comment l'intelligence artificielle change notre façon de s'informer, de travailler… et de douter.Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

Are your ChatGPT prompts messy and inconsistent? You might be falling into the trap of spaghetti prompting, random, unstructured inputs that lead to weak responses.In this episode, we break down the difference between spaghetti prompting and prompt engineering, showing you how to structure prompts for accurate, consistent, and high-quality results.What you'll learn:How to give clear context and set specific goalsWhy defining output format mattersThe power of real examplesIterating your prompts like an engineer, not a guesserStop wasting time on guesswork. Start prompting with purpose. Listen now and upgrade your AI game!Support the show

In this episode of the Stay Hungry Podcast, Joel and Martha tackle the generative AI revolution head-on, exploring its seismic impact on marketing, creativity, and business strategy. As tools like Sora and ChatGPT bring powerful image and content creation capabilities to the masses, they ask: is this a game-changer or just another trend?.   Joel shares his hands-on experiences, from creating quirky AI images to leveraging AI for sophisticated marketing funnels and deep business research. The discussion covers the good, the bad, and the ugly of AI adoption – the potential for incredible creativity and efficiency versus the pitfalls of poor prompting, brand dilution, and the ethical dilemmas it presents. They debate whether AI will replace designers and the crucial role of human creativity and strategic thinking in getting real value from these tools.Key moments include:The sudden surge of AI image generation and the tools driving it (Sora, ChatGPT, Midjourney).   Why "Prompt Engineering" is a critical skill and how to craft better prompts for superior results.   Practical AI applications in marketing beyond the hype: image upscaling, background removal, and hyper-personalized nurture sequences.   The risks of diluting your brand voice and the ethical considerations of AI-generated content and voice synthesis.   Action Figures & AI Fads: Separating the fun experiments from strategic business use.   Creativity is King: Why AI tools amplify, but don't replace, human ingenuity and strategic thinking.   Leveraging AI for deep dives: Using AI for competitor research and strategic business planning.   Packed with practical insights, cautionary tales, and a dose of humour, this episode is essential listening for anyone navigating the rapidly evolving landscape of AI in marketing and business.Tune in to learn how to harness the power of AI effectively and avoid the common pitfalls! Links:Website: https://www.codebreak.co.ukInstagram: https://www.instagram.com/codebreakcrew/Facebook: https://facebook.com/codebreakcrew/ Joel's Instagram: https://www.instagram.com/joelstoneofficial/Joel's Facebook: https://facebook.com/joelstoneofficial/ Free Marketing Budget Calculator: https://codebreak.outgrow.us/knowyournumbers Arrange a call with Codebreak: https://form.jotform.com/241272835208051

Jeff Utecht and Aaron Makelky discuss the integration of AI in education, focusing on how teachers can effectively leverage technology to enhance student learning. Aaron shares his journey as a high school social studies teacher and how he began using AI tools like ChatGPT in his classroom. They explore the importance of teaching AI literacy, the need for structured learning environments, and the challenges of ensuring equitable access to technology for all students. The conversation emphasizes the significance of prompt engineering and the various levels of AI integration in assignments, ultimately advocating for a more informed and adaptable approach to technology in education. In this conversation, Jeff Utecht and Aaron Makelky explore the evolving landscape of education, particularly focusing on the integration of AI and digital tools in learning environments. They discuss the historical context of search tools, the importance of teaching students to leverage technology effectively, and the need to redefine traditional notions of cheating in the context of AI. The conversation emphasizes the necessity for educators to adapt to new technologies and prepare students for a future where these tools are commonplace.   Aaron Makelky is a husband, father, teacher, tech enthusiast, and leader. Passionate about helping professionals learn AI skills. Over 15 years of instructional experience, simplifying complex topics and making learning approachable and enjoyable. Expertise as an AI Integration Consultant guiding individuals, schools, and law, and SMB through the evolving world of artificial intelligence. Focused on streamlining workflows, enhancing content creation, and building foundational understanding of AI. Committed to making technology accessible, human-centered, and effective for everyone. Content creator with a track record of engaging tens of millions through videos, blog posts, and social media content. Known for experimenting with new ways to connect and inspire others. (Thanks TikTok for the viral videos).   Connect with him: https://www.aaronmakelky.com/links   Huge thanks to our show sponsor: https://www.neulight.io/?utm_source=shiftingschool&utm_medium=podcast&utm_campaign=fallsponsorship&utm_id=1  

AB sits down with Cisco's CIO, Fletcher Previn, to talk about the role IT plays in driving business success. Fletcher shares his thoughts on the skills needed for the future of IT, how AI can enhance human potential, and why individual creativity can drive even better IT experiences and outcomes. 

There's an inflection point when technology shifts from novelty to necessity. The printing press. The telephone. The internet. And now, artificial intelligence. For those with ADHD, the rise of AI presents an especially tantalizing paradox: a tool that promises to sharpen focus and streamline tasks, yet one that, if wielded carelessly, could just as easily become another source of distraction.In this episode of The ADHD Podcast, Pete Wright and Nikki Kinzer take us into the heart of the paradox. They begin with a simple but profound question: How do we make AI work for us, rather than the other way around?It starts with a refresher on prompt engineering—the art of structuring AI queries with precision. It's not unlike training a dog. Give vague instructions, and you'll get unpredictable results. But with the right prompts, AI can become an invaluable assistant, distilling complex information, organizing thoughts, and even generating study guides.But then comes the tension. The unease. The creeping realization that AI—like all powerful tools—has a darker side. What of the Paperclip Problem, a thought experiment that suggests AI, if left unchecked, could optimize itself into oblivion, consuming all available resources (including us) in its relentless pursuit of efficiency. Far out? There are those who argue not so far as you think.The conversation then shifts to the Goldilocks Zone—that elusive middle ground where AI enhances productivity without eroding autonomy. Pete shares his meticulously curated AI toolkit: Perplexity AI for research, Grammarly for writing, TextExpander for automation, and Adobe Voice Enhancer for audio clarity. Each tool, when used correctly, reduces cognitive load. But over-reliance? That's where the danger lies.By the end of the discussion, one thing becomes clear: AI is neither savior nor saboteur. It is a mirror, reflecting back the habits and intentions of its user. The question isn't whether AI will replace us—it won't. The real question is: Will we use AI to become more of who we are, or will we let it decide that for us?Links & NotesPerplexity AI – AI-powered research assistantPoe.com – Multi-model AI chat platformGrammarly – AI-enhanced writing assistantAdobe Voice Enhancer – AI-driven audio clarity toolCoda.io – AI-integrated database managementJoin our Discord communitySupport the Show on PatreonDig into the podcast Shownotes Database (00:00) - Welcome to Taking Control: The ADHD Podcast (02:22) - Prompt Engineering (12:08) - The Problem with AI (18:25) - The Goldilocks Zone (22:16) - Some Tools (25:19) - Gell-Mann Amnesia ★ Support this podcast on Patreon ★

We unpack her signature use of Jungian archetypes, how to train AI with your unique brand voice, and why Mona believes the human touch is the missing ingredient in most AI-generated content. If you're trying to stand out in the era of mass AI content, this episode is for you.She also reflects on her shift from scepticism to curiosity, empowering others to do the same—especially those who think it's “too late” to embrace AI.

Watch Here: https://youtu.be/Q2QTYAN7JuoAbout the Guest: Jonathan Mast isn't your typical AI guru. At 55, with a Gandalf-like beard and 20 years in digital marketing, he's positioned himself as the “voice of reason” in a landscape full of overhype and under-delivery. His company, White Beard Strategies, teaches business owners how to use AI without losing their minds—or their margins. Mast's approach blends deep industry experience with a no-nonsense communication style. He's not selling pipe dreams; he's offering a toolkit.Summary: In this refreshingly candid episode of the How2Exit Podcast, Ron Skelton flips the usual script. Instead of diving into how to buy or sell companies, he sits down with Jonathan Mast—founder of White Beard Strategies and self-declared AI pragmatist—to tackle a more pressing question: Now that you've bought a business, how do you scale it with AI? With a long white beard and a sharper edge on reality than most AI evangelists or fearmongers, Mast offers a grounded, practical view of how artificial intelligence is changing the game for business owners. From cutting costs without cutting quality, to using AI as a "force multiplier" for human creativity, the conversation strips away the hype and lays down a roadmap that business buyers and owners can actually use.Key Takeaways:AI is an “Easier Button,” Not an Easy Button: Mast cautions that AI won't magically solve all your problems—but it will streamline, accelerate, and amplify your existing business processes if used right.Prompt Engineering is Just Delegation 2.0: The most effective prompts treat AI like a new hire—tell it what role it's playing, what task you need, what the output should look like, and give it context. Then ask, “Do you have any questions?”AI Won't Replace Humans—But Humans Who Use AI Will Replace Those Who Don't: The real risk isn't AI taking your job—it's your competitor using AI better than you and outpacing your entire operation.Agents Are the Next Frontier: Current tools still need your input, but AI agents—autonomous task-doers with goals instead of prompts—are coming. These could revolutionize business ops by handling repetitive, logic-based tasks with little oversight.AI Is a Skill Multiplier: A mediocre copywriter becomes competent with AI. A great copywriter becomes world-class. AI doesn't level the playing field—it widens the gap between skilled and unskilled.Bias Is Inevitable—Just Like in Humans: Every AI model reflects the biases of its creators. That doesn't invalidate its usefulness, but it does mean you need to be vigilant about aligning its output with your brand's tone and truth.Business Intelligence on Steroids: Jonathan envisions a near future where agents will analyze data from every platform—Google Analytics, YouTube, LinkedIn—and proactively suggest growth strategies without human prompting.Start Small, Start Now: You don't need to be an engineer or visionary to benefit. Begin with basic tasks like drafting emails, summarizing reports, or analyzing transactions—and build from there.--------------------------------------------------Contact Jonathan onLinkedin: https://www.linkedin.com/in/jonathanjmast/Website: http://whitebeardstrategies.com/--------------------------------------------------

Is AI-generated content in healthcare reckless—or revolutionary? In this episode, hosts Chris Boyer and Reed Smith challenge the fear around using AI in a regulated industry and explore how health systems can use generative AI safely, effectively, and strategically to create better content, faster. They dive into: AI + Content in a Regulated World – Why risk-averse culture and compliance concerns have slowed adoption—and why those fears might be outdated. The Reality of Today's AI Use – How non-PHI content (like patient education, provider bios, and public health materials) is already being generated by AI. AI as a Content Accelerator – From readability and ADA compliance to localization and SEO, AI is changing the content game in health systems. Prompt Engineering as a Strategic Skill – Why healthcare marketers need to think like prompt architects, not just copywriters, and how prompt styles like chain-of-thought, self-refine, and role-based prompting are becoming foundational. Later in the episode, they're joined by Diane Hammons of WG Content, who shares how custom LLMs and advanced prompting are driving content efficiency and brand consistency across the healthcare landscape. In 2025, the question isn't whether AI belongs in healthcare content—it's how well we're guiding it. Mentions from the show:  Medical content creation in the age of generative AI How to use AI safely for Content Creation in Hospital Marketing WG Content How AI search ranks healthcare content: A ChatGPT vs. Google experiment Diane Hammons on LinkedIn Reed Smith on LinkedIn Chris Boyer on LinkedIn Chris Boyer website Chris Boyer on BlueSky Reed Smith on BlueSky Learn more about your ad choices. Visit megaphone.fm/adchoices

In this special panel-style episode, Agentforce expert and Senior Vice President of Digital Success at Salesforce, Bernard Slowey, is interviewed by Lauren Wood and guest host Stephanie Postles. This is your inside look at Salesforce's rapid deployment of its revolutionary AI agent, what this means for the digital workforce revolution, and how ANY company can create a customizable, empathetic digital employee. (With no code, just natural-language prompting.) Bernard shares firsthand accounts of the launch, including navigating real-time customer feedback and the crucial lessons learned about data hygiene and prompt engineering. He also discusses the delicate balance between AI automation and human support, emphasizing the importance of empathy training for these digital agents. Plus, they explore the challenges and opportunities for businesses of all sizes, from SMBs to enterprises, as they grapple with the evolving landscape of AI-driven customer experience, sales, and marketing.Press play and discover how Salesforce is shaping the future of AI in service, and what contrarian views Bernard Slowey holds about the role of data in decision-making.Key Moments: 00:00 Who is Bernard Slowey, SVP of Digital Success at Salesforce?04:18 The Evolution of Customer Service06:28 The Power and Potential of AI Agents18:06 Implementing Agentforce at Salesforce22:07 Challenges and Learnings From AI Agent Deployment33:29 Measuring Success and Future Prospects39:58 Escalation Rate and Customer Experience41:21 The Importance of Human Interaction in Support42:51 Digital Success and Customer Onboarding45:28 AI in Customer Success: Real-World Examples47:24 Data Hygiene and Internal Content Auditing 53:04 Cross-Functional Collaboration in CX01:00:28 The Human-AI Partnership 01:08:36 The Future of AI in Business01:12:51 Customer Obsession in Practice –Are your teams facing growing demands? Join CX leaders transforming their strategies with Agentforce. Start achieving your ambitious goals. Visit salesforce.com/agentforce Mission.org is a media studio producing content alongside world-class clients. Learn more at mission.org

In this episode of The Tech Trek, Amir Bormand sits down with Nirmal Ranganathan, CTO, Global Public Cloud at Rackspace, to dissect one of the hottest and most crucial topics in today's tech landscape—trust in AI applications. They explore how enterprises can drive adoption of AI solutions, what key factors are needed to foster trust, and why guardrails, security, and change management play a pivotal role. Whether you're a developer, tech leader, or AI enthusiast, this episode dives deep into the challenges and opportunities shaping the future of AI adoption.Key TakeawaysTrust is the Cornerstone: For AI adoption to succeed, users must trust the output. Trust hinges on data quality, security, responsible use, and model transparency.Change Management Matters: Adoption in enterprises isn't about trends—it's about clear processes, education, and user enablement.Guardrails Are Non-Negotiable: Especially when AI is exposed to external users, organizations need strong safety checks—think toxicity filters, bias mitigation, and strict data governance.Scaling AI = Scaling Costs: Unlike typical systems, scaling AI comes with heavy computational costs. Patterns like caching and model optimization are essential for sustainability.Prompt Engineering & Peer Learning: The secret to effective enterprise AI adoption is empowering users to master prompt engineering and fostering peer collaboration.Future of Adoption: 2025 might not yet be the year of mass AI production rollout, but the curve is gradually climbing—especially with evolving architectures and better model accuracy.Timestamped Highlights[00:00:00] Introduction to Nirmal Ranganathan & the importance of trust in AI[00:01:34] Why adoption is key—and why most tech projects fail due to lack of it[00:02:50] Three pillars of successful AI adoption: Trust, Change Management, Functionality[00:05:02] The trust barrier: Hallucinations, relevance, and grounding AI responses in enterprise knowledge[00:10:01] Why most AI projects are stuck in POCs—and what's preventing full-scale deployment[00:11:43] Technical guardrails: Security, scalability challenges, and compliance considerations[00:14:56] Cost & infrastructure challenges when scaling AI solutions to millions of users[00:17:52] How tech companies differ from enterprises in deploying AI—data privacy, safety checks, user unpredictability[00:20:00] The role of prompt engineering, peer learning, and experiential training in ensuring AI adoption success[00:22:16] What the future holds for AI adoption—and why the heavy lifting might get easierFeatured Quote "AI adoption compounds all of our existing challenges—and then multiplies them by five or ten times." — Nirmal RanganathanConnect with NirmalLinkedIn: https://www.linkedin.com/in/rnirmal/If you enjoyed this episode, please like, share, and subscribe! Don't forget to follow the podcast to stay updated on future episodes.

Jim Rea continues reflecting on ProView's 40-year journey, highlighting how personal computing and software development practices have evolved. He discusses the shift from fully graspable, simple systems to today's complex technologies requiring specialized expertise. Jim emphasizes the ongoing necessity of human judgment in programming, even with advanced tools like LLMs and search engines. He explores the concept of "prompt engineering" and the enduring challenge of accurately defining project requirements, asserting the essential role humans will maintain in tech innovation. (Part 2) Today's edition of MacVoices is supported by MacVoices Live!, our weekly live panel discussion of what is going in the Apple space as well as the larger tech world, and how it is impacting you. Join us live at YouTube.com/MacVoicesTV at 8 PM Eastern 5 PM Pacific, or whatever time that is wherever you are and participate in the chat, or catch the edited and segmented versions of the show on the regular MacVoices channels and feeds. Show Notes: Chapters: 00:10 Introduction to Jim Rea 00:53 Early Days of Personal Computing 02:35 Evolution of Development Practices 05:25 The Role of the Internet in Programming 11:20 The Challenge of Finding Information 12:13 The Impact of LLMs on Programming 17:17 Defining LLMs vs. AI 20:10 Prompt Engineering and Software Development 23:48 The Future of Human Programmers 26:58 Reflections on Technological Progress 29:58 Conclusion and Farewell Links: Celebrating the 40th Anniversary of ProVUE at MacWorld Expo! Guests: Jim Rea built his own computer from scratch in 1975, started programming in 1977, and has been an independent Mac developer continuously since 1984. He is the founder of ProVUE Development, and the author of Panorama X, ProVUE's ultra fast RAM based database software for the macOS platform. He's been a speaker at MacTech, MacWorld Expo and other industry conferences. Follow Jim at provue.com and via @provuejim@techhub.social on Mastodon. Support: Become a MacVoices Patron on Patreon      http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect: Web:      http://macvoices.com Twitter: http://www.twitter.com/chuckjoiner      http://www.twitter.com/macvoices Mastodon:      https://mastodon.cloud/@chuckjoiner Facebook:      http://www.facebook.com/chuck.joiner MacVoices Page on Facebook:      http://www.facebook.com/macvoices/ MacVoices Group on Facebook:      http://www.facebook.com/groups/macvoice LinkedIn:      https://www.linkedin.com/in/chuckjoiner/ Instagram:      https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes      Video in iTunes      Subscribe manually via iTunes or any podcatcher: Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

Engage your meat computers with this philosophical discussion about the transformative impact of generative AI, prompt engineering, and beyond with Doug Bennett, Senior Global Partner Development Manager with Amazon Web Services, and hosts Sean Sebring and Chrystal Taylor. They delve into the future of generative AI, the potential for innovation, and the changing nature of coding and application development. © 2025 SolarWinds Worldwide, LLC. All rights reserved

In this episode, I sit down with Niki Clark, a marketing expert specializing in financial advisors. We dive into how AI is revolutionizing the way advisors manage their businesses and why embracing new technologies can lead to greater efficiency and success. If you're curious about how AI can work for you, this episode is a must-listen!

- Introduction and Breaking News (0:00) - Climate Fraud and Money Laundering (2:01) - Sanctuary City Mayors and Legal Actions (5:32) - Book Review: "Griftopia" by Matt Taibbi (8:59) - Impact of Financial Crisis and Reforms (13:57) - Health and Politics in America (15:50) - The Role of Robots in Homesteading (42:29) - Technological Advancements and Ethical Considerations (1:13:30) - The Future of Robots and Human Interaction (1:14:07) - Conclusion and Final Thoughts (1:14:51) - Exploring the Gladio Network and Intelligence Connections (1:15:10) - The Age of Human Cognition and AI Advancements (1:23:46) - The Role of AI in Enhancing Human Intelligence (1:27:14) - The Impact of AI on Economic Activity and GDP (1:51:26) - The Future of Work and Human Labor (1:58:20) - The Role of AI in Decentralization and Freedom (2:03:58) - The Importance of Prompt Engineering in AI (2:15:19) - The Role of AI in Business and Decentralized Income Opportunities (2:26:32) - The Future of AI and Its Impact on Society (2:35:51) - The Importance of Transparency and Accountability in Government (2:36:57) For more updates, visit: http://www.brighteon.com/channel/hrreport NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com

- Breakaway Civilization and Global Changes (0:00) - Transition to Commodity-Backed Currencies (5:10) - Geopolitical Implications and Technological Advancements (12:01) - AI and Technological Advancements (19:37) - Decentralization and Privacy in Cryptocurrencies (45:38) - Book Reviews and Further Insights (49:50) - Bitcoin Beach and Nomadic Lifestyle (1:18:52) - Bitcoin Community in Austin and Texas Blockchain Council (1:23:00) - Immigration Policy and Vaccine Requirements (1:24:26) - Bitcoin as Digital Gold and Transactional Cryptocurrency (1:27:39) - Bitcoin ETF and Counterparty Risk (1:31:22) - Margin Trading and Market Manipulation (2:00:42) - Privacy Coins and Future of Privacy Technology (2:01:01) - AI and Blockchain Integration (2:13:58) - Stable Coins and Central Bank Digital Currencies (2:29:33) - Future of Bitcoin and Crypto Adoption (2:34:22) - Coinbase Interview and Decentralized Trading (2:34:38) - Government Spending Transparency and Blockchain Use Cases (2:35:45) - Bit Gov and Dogecoin's Rapid Growth (2:39:14) - Independent Media and Blockchain's Future (2:41:24) - Investing in Bitcoin and Blockchain's Impact on Industries (2:44:12) - AI and Crypto Education (2:45:57) - After Party Discussion and Future Plans (2:48:03) - Prompt Engineering and AI Tools (2:55:09) - Unincorporated Nonprofit Associations and Financial Freedom (3:02:39) - Final Thoughts and Future Prospects (3:05:26) For more updates, visit: http://www.brighteon.com/channel/hrreport NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com

In this episode of WTF is Happening in Tech, Richard, Salim, and Peter discuss the latest news in tech and AI, including the LLM war, Grok's update, and more.  Recorded on Feb 24th, 2025 Views are my own thoughts, not Financial, Medical, or Legal Advice. Richard Socher is the founder and CEO of you.com and co-founder and managing partner of AIX Ventures. Richard previously served as the Chief Scientist and EVP at Salesforce. Before that, Richard was the CEO/CTO of AI startup MetaMind, acquired by Salesforce in 2016. Richard received his Ph.D. in computer science at Stanford. He is widely recognized as having brought neural networks into the field of natural language processing, inventing the most widely used word vectors, contextual vectors, and prompt engineering. He has over 205,000 citations and served as an adjunct professor in the computer science department at Stanford.  Salim Ismail is a serial entrepreneur and technology strategist well known for his expertise in Exponential organizations. He is the Founding Executive Director of Singularity University and the founder and chairman of ExO Works and OpenExO.  We'd also love to offer your listeners one year free of you.com Pro: https://you.com/moonshots Join Salim's ExO Community: https://openexo.com Twitter: https://twitter.com/salimismail  ____________ I only endorse products and services I personally use. To see what they are,  please support this podcast by checking out our sponsors:  Get started with Fountain Life and become the CEO of your health: https://fountainlife.com/peter/ AI-powered precision diagnosis you NEED for a healthy gut: https://www.viome.com/peter  Get 15% off OneSkin with the code PETER at  https://www.oneskin.co/ #oneskinpod _____________ I send weekly emails with the latest insights and trends on today's and tomorrow's exponential technologies. Stay ahead of the curve, and sign up now:  Tech Blog _____________ Connect With Peter: Twitter Instagram Youtube Moonshots

- Elon Musk's Satirical Song and AI Capabilities (0:00) - Germany's Elections and Geopolitical Shifts (0:26) - Elon Musk's Plan to Eliminate Federal Workers (0:45) - The Future of Government and AI Technology (1:02) - The Role of AI in Society and the Economy (1:23) - The Ethical Implications of AI and Human Society (1:38) - The Role of AI in Government and Society (1:55) - The Future of AI and Human Society (2:13) - The Role of AI in Government and Society (2:29) - The Future of AI and Human Society (2:47) - Economic and Financial Strategies for the Future (3:05) - Prompt Engineering and AI Tools (3:21) - Health and Nutrition Recommendations (3:36) - Introduction to Steve Quayle and Deep State Sabotage (3:53) - Details of Food Confiscation and Starvation Nation (4:10) - Global Financial and Economic Implications (4:27) - Geopolitical and Natural Disaster Threats (4:40) - The Role of Gold and Financial Markets (5:06) - The Impact of AI and Medical Advancements (5:23) - Trump's Potential Actions and Gold Repatriation (5:37) - Final Thoughts and Call to Action (5:54) - Sponsorship and Power Outage Preparedness (6:16) - Electromagnetic Weapons and Surveillance (6:55) - Website and Product Recommendations (7:11) - Closing Remarks and Final Thoughts (7:27) For more updates, visit: http://www.brighteon.com/channel/hrreport NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com

AI has the potential to tackle some of the world's toughest problems, from climate change to healthcare and beyond, but its impact depends on how we choose to use it. The key isn't just developing smarter algorithms—it's ensuring they are applied ethically, equitably, and with a deep understanding of human needs. Technology alone won't fix broken systems, but when paired with thoughtful leadership and collaboration, it can amplify solutions at a scale we've never seen before. The real challenge isn't whether AI can help—it's whether we'll use it wisely enough to make a lasting difference. Rebecca Shaddix is the Head of Product Marketing, Customer Marketing, and Lifecycle Marketing for Garner Health and a seasoned marketing executive with a proven track record of driving significant revenue growth across various industries. As a Go-to-Market Strategist, she is deeply interested in and knowledgeable about the societal impacts of technology, particularly the role of AI in solving global issues and fostering diversity in the tech industry. Today, Rebecca talks about her excitement about the rapid pace of technological advancements and their potential to solve complex challenges. Stay tuned! Resources Garner Health: Doctor Quality Analytics Connect with Rebecca Shaddix on LinkedIn

- Introduction and Overview of Brighton.com (0:00) - AI Tools and Prompt Engineering (5:48) - Introduction to Enoch AI Tool (15:10) - Special Report on California's Failed State Status (21:29) - Interview with Andy Schlafly on Corporate Transparency Act (41:24) - Conclusion and Call to Action (41:44) - Government's Actions and Legal Challenges (1:09:54) - Supreme Court Involvement and Justice Alito (1:31:15) - Deep State and Selective Prosecution (1:35:00) - Support for AAPs and Medical Freedom (2:00:50) - Impact on Small Businesses and Volunteer Organizations (2:07:44) - Trump's Potential Role and Executive Orders (2:08:00) For more updates, visit: http://www.brighteon.com/channel/hrreport NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com