Podcasts about personal ai

Dr. Ilia Shumailov - Former DeepMind AI Security Researcher, now building security tools for AI agentsEver wondered what happens when AI agents start talking to each other—or worse, when they start breaking things? Ilia Shumailov spent years at DeepMind thinking about exactly these problems, and he's here to explain why securing AI is way harder than you think.**SPONSOR MESSAGES**—Check out notebooklm for your research project, it's really powerfulhttps://notebooklm.google.com/—Take the Prolific human data survey - https://www.prolific.com/humandatasurvey?utm_source=mlst and be the first to see the results and benchmark their practices against the wider community!—cyber•Fund https://cyber.fund/?utm_source=mlst is a founder-led investment firm accelerating the cybernetic economyOct SF conference - https://dagihouse.com/?utm_source=mlst - Joscha Bach keynoting(!) + OAI, Anthropic, NVDA,++Hiring a SF VC Principal: https://talent.cyber.fund/companies/cyber-fund-2/jobs/57674170-ai-investment-principal#content?utm_source=mlstSubmit investment deck: https://cyber.fund/contact?utm_source=mlst— We're racing toward a world where AI agents will handle our emails, manage our finances, and interact with sensitive data 24/7. But there is a problem. These agents are nothing like human employees. They never sleep, they can touch every endpoint in your system simultaneously, and they can generate sophisticated hacking tools in seconds. Traditional security measures designed for humans simply won't work.Dr. Ilia Shumailovhttps://x.com/iliaishackedhttps://iliaishacked.github.io/https://sequrity.ai/TRANSCRIPT:https://app.rescript.info/public/share/dVGsk8dz9_V0J7xMlwguByBq1HXRD6i4uC5z5r7EVGMTOC:00:00:00 - Introduction & Trusted Third Parties via ML00:03:45 - Background & Career Journey00:06:42 - Safety vs Security Distinction00:09:45 - Prompt Injection & Model Capability00:13:00 - Agents as Worst-Case Adversaries00:15:45 - Personal AI & CAML System Defense00:19:30 - Agents vs Humans: Threat Modeling00:22:30 - Calculator Analogy & Agent Behavior00:25:00 - IMO Math Solutions & Agent Thinking00:28:15 - Diffusion of Responsibility & Insider Threats00:31:00 - Open Source Security Concerns00:34:45 - Supply Chain Attacks & Trust Issues00:39:45 - Architectural Backdoors00:44:00 - Academic Incentives & Defense Work00:48:30 - Semantic Censorship & Halting Problem00:52:00 - Model Collapse: Theory & Criticism00:59:30 - Career Advice & Ross Anderson TributeREFS:Lessons from Defending Gemini Against Indirect Prompt Injectionshttps://arxiv.org/abs/2505.14534Defeating Prompt Injections by Design. Debenedetti, E., Shumailov, I., Fan, T., Hayes, J., Carlini, N., Fabian, D., Kern, C., Shi, C., Terzis, A., & Tramèr, F. https://arxiv.org/pdf/2503.18813Agentic Misalignment: How LLMs could be insider threatshttps://www.anthropic.com/research/agentic-misalignmentSTOP ANTHROPOMORPHIZING INTERMEDIATE TOKENS AS REASONING/THINKING TRACES!Subbarao Kambhampati et alhttps://arxiv.org/pdf/2504.09762Meiklejohn, S., Blauzvern, H., Maruseac, M., Schrock, S., Simon, L., & Shumailov, I. (2025). Machine learning models have a supply chain problem. https://arxiv.org/abs/2505.22778 Gao, Y., Shumailov, I., & Fawaz, K. (2025). Supply-chain attacks in machine learning frameworks. https://openreview.net/pdf?id=EH5PZW6aCrApache Log4j Vulnerability Guidancehttps://www.cisa.gov/news-events/news/apache-log4j-vulnerability-guidance Bober-Irizar, M., Shumailov, I., Zhao, Y., Mullins, R., & Papernot, N. (2022). Architectural backdoors in neural networks. https://arxiv.org/pdf/2206.07840Position: Fundamental Limitations of LLM Censorship Necessitate New ApproachesDavid Glukhov, Ilia Shumailov, ...https://proceedings.mlr.press/v235/glukhov24a.html AlphaEvolve MLST interview [Matej Balog, Alexander Novikov]https://www.youtube.com/watch?v=vC9nAosXrJw

Send us a textAt some point in your career, you will be asked how you've used AI. Most candidates will talk about optimizing resumes or practicing interview questions, but what if your answer could be more memorable? In this episode, I share a deeply personal story about saying goodbye to my beloved cat, Amy Farrah Meowler, and how I turned to ChatGPT for guidance during that difficult time. What I learned goes far beyond grief. It demonstrates how authentic personal experiences can showcase your problem-solving skills and set you apart in today's competitive job market.Whether you're searching for a new role, pursuing a promotion, or looking to clarify your career direction, you'll discover how to reframe unique experiences with technology into compelling interview responses that highlight creativity, resilience, and leadership.What You'll Learn in This Episode:Why authentic personal stories often make the strongest professional interview answersHow my experience with ChatGPT during a pet's end-of-life decision highlighted critical problem-solving skillsThe importance of understanding when and how to share personal experiences in a professional contextHow to use personal AI experiences to demonstrate your ability to think strategically and process information under pressureWhy memorable interviews often come from moments of genuine authenticityWho This Episode Is For: If you're a mid-career professional feeling stuck, undervalued, or uncertain about how to stand out in interviews, this episode will help you think differently about how you showcase your skills and stories.Resources and Next Steps: For more support in your career journey, join my Mid-Career GPS Membership Community, where you'll find monthly masterclasses, office hours, and ongoing support to help you land a job you love or love the job you have. Learn more at johnneral.com/membership.Support the showVisit https://johnneral.com/resources to: Subscribe to my free leadership and career newsletter Get The Mid-Career Promotion Blueprint to help you figure out whatever is next for you and your career Join The Mid-Career GPS Membership Community. Thank you for listening to The Mid-Career GPS Podcast. Please leave a rating and review on Apple Podcasts here. Connect with John on LinkedIn here.Get John's New Mid-Career Journal on Amazon here. Follow John on Instagram @johnneralcoaching. Subscribe to John's YouTube Channel here.

AI is here, and today is the worst it is ever going to be. But there are also over 8 billion human beings, so the biggest question of all is - how are we going to cooperate and even co-exist? Is AI here to take all the jobs or create economic and scientific super-abundance? And for human health, will we all carry a personal AI health agent in our pockets helping us live healthier and happier and prevent disease, and will AI cure every single cancer by 2030? At this stage, there are more questions than answers, which is why I invited the number one artificial intelligence futurist onto the show.Steve Brown is a leading voice in the field of artificial intelligence. A former executive at Google DeepMind and Intel, he has delivered hundreds of information-packed and entertaining keynotes across five continents, inspiring audiences to take action with AI. ‍As a thought leader on AI, generative AI, autonomous agents, digital transformation, and the future impact of AI on business, education, and society, Over his 25-year career, Steve has held senior leadership roles, including Senior Director and in-house Futurist at Google DeepMind in London and Intel's Chief Evangelist and Futurist. He is the co-founder of The Provenance Chain Network, a company providing supply chain transparency and security services for the U.S. Space Force, as well as a strategic advisor to two AI startups and a BCG Luminary. Steve's mission is to help organisations build a better future with AI by creating new customer experiences, streamlining operations, and elevating the workforce. Join us as we explore:What is AI, what are the different types, why use one type over the other, what AI can do today and why today is the worst AI will ever be.How to use AI right now to improve decision making, and specifically your personal health AI agent who is there with you 24/7 to make medicine, health and performance optimization choices.How to think of and deploy AI as an enhancer and augmenter or our lives and professions rather than fearing it is here to replace you.Prompt engineering your health and performance.AI hallucinations, AI risks, AI misuse, AI misalignment and AI blackmail. Contact:Website - https://www.stevebrown.aiMentions:Tools - NotebookLM, https://notebooklm.googleTools - Perplexity, https://www.perplexity.aiSupport the showFollow Steve's socials: Instagram | LinkedIn | YouTube | Facebook | Twitter | TikTokSupport the show on Patreon:As much as we love doing it, there are costs involved and any contribution will allow us to keep going and keep finding the best guests in the world to share their health expertise with you. I'd be grateful and feel so blessed by your support: https://www.patreon.com/MadeToThriveShowSend me a WhatsApp to +27 64 871 0308. Disclaimer: Please see the link for our disclaimer policy for all of our content: https://madetothrive.co.za/terms-and-conditions-and-privacy-policy/

UL NO. 496: STANDARD EDITION | New Video on Building my Personal AI System, Anthropic Reveals One-person Hacking Company using Claude, Pentagon Says China Keeps Penetrating, and more... Read this episode online: https://newsletter.danielmiessler.com/p/ul-496 Personal AI Video I'm so excited about Subscribe to the newsletter at:https://danielmiessler.com/subscribe Join the UL community at:https://danielmiessler.com/upgrade Follow on X:https://x.com/danielmiessler Follow on LinkedIn:https://www.linkedin.com/in/danielmiesslerBecome a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.

In this conversation, Eric Malzone interviews Bill Davis, CEO of ABC Fitness, discussing the transformative role of artificial intelligence (AI) in the fitness industry. They explore how ABC Fitness is leveraging AI for operational efficiency, customer engagement, and product development. Bill shares insights on the importance of critical thinking in applying AI, the establishment of AI champions within the organization, and the future of roles in the industry as AI continues to evolve. The discussion highlights the balance between leveraging AI for operational efficiency and enhancing customer experiences, as well as the potential convergence of fitness and health data.

We revisit the topics of individual agency, consumer perceptions of privacy, and self-sovereign identity through the lens of a “personal AI”.Copenhagen-based Yngvi Karlson is the Co-founder of Kin, a personal AI built on privacy and trust. After two successful exits and a career in venture capital, he set out to answer a bigger question: can AI empower us without owning us? For him, Kin is more than technology. It's a movement to put people back in control of their data, their conversations, and their future.References:* Download Kin* Yngvi Karlson on LinkedIn* My data, my rules? Not so fast. (Sergio Maldonado, 2021)* Dan Stone: how to own our identity, protect personal data, and escape LinkedIn (Masters of Privacy)* Jamie Smith: AI Agents, digital identity, wallets and personal data (Masters of Privacy)* Adrian Doerk: digital identity, digital wallets and data protection (Masters of Privacy)* Sille Sepp: MyData Global and the fight for Human Centricity (Masters of Privacy)* An emotional attachment to GPT 4o results in OpenAI reversing course on GPT 5 (Wired) This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.mastersofprivacy.com/subscribe

Join Suman Kanuganti, CEO of Personal AI, as he discusses the shift away from the one-size-fits-all approach of large language models toward specialized personal language models that capture individual decision-making patterns and expertise. Kanuganti explains how artificial personal intelligence differs from artificial general intelligence, focusing on creating AI personas that can run efficiently on edge devices rather than requiring massive cloud infrastructure while maintaining privacy-by-design architecture. He examines the future of distributed AI systems and how smaller, specialized models can deliver superior performance for specific use cases while addressing the fundamental scalability and cost challenges facing the current AI industry dominated by power-hungry large language models.

Today's episode of the Punk CX podcast is with Malte Kosub, the co-founder and CEO of Parloa, a provider of an enterprise-grade AI agent management platform for customer service. Malte joins me today to talk about standing out in an increasingly crowded field, his vision for how customer support will evolve over the coming five years, and what successful companies are doing to allow them to tap into the potential of this new technological wave. This interview follows on from my recent interview – Transforming CX with predictable AI and workflow automation – Interview with Rebecca Miller of Pega – and is number 551 in the series of interviews with authors and business leaders who are doing great things, providing valuable insights, helping businesses innovate and delivering great service and experience to both their customers and their employees.

Personal AI is pioneering the next generation of artificial intelligence with their memory-first platform that creates personalized AI models for individuals and organizations. Having raised over $16 million, the company has evolved from targeting consumers to focusing on enterprise customers who need highly private, precise, and personalized AI solutions. In this episode of Category Visionaries, we sat down with Suman Kanuganti, CEO and Co-Founder of Personal AI, to explore the company's journey from early AI experimentation in 2015 to building what he envisions as the future AI workforce for enterprise organizations. Topics Discussed: Personal AI's evolution from consumer-focused to enterprise B2B platform The technical architecture behind personal language models vs. large language models Privacy-first approach and competitive advantages in regulated industries Go-to-market pivot and scaling from small law firms to enterprise contracts Unit economics advantages and 10x cost reduction compared to traditional LLMs Vision for AI workforce integration in public companies within 3-5 years GTM Lessons For B2B Founders: Recognize when market timing doesn't align with your vision: Suman's team was building AI solutions as early as 2015, nearly a decade before the ChatGPT moment. When ChatGPT launched in November 2022, Personal AI faced confusion from investors and customers about their differentiation. Rather than forcing their sophisticated personal AI models on consumers who wanted simpler solutions, they recognized the market mismatch and pivoted. B2B founders should be prepared to adjust their go-to-market approach when market readiness doesn't match their technical capabilities, even if their technology is superior. Find your wedge in enterprise through specific pain points: Personal AI discovered their enterprise entry point by targeting "highly sensitive use cases that LLMs are not good for" where companies would be "shit scared to put any data in the LLM." They focused on precision and privacy pain points that large language models couldn't address. B2B founders should identify specific enterprise pain points where their solution provides clear advantages over existing alternatives, rather than trying to be everything to everyone. Let customer expansion drive revenue growth: Personal AI's enterprise strategy evolved organically as existing contracts "started growing like wildfire as more people had a creative mindset to solve the problem with the platform." They discovered that their Persona concept allowed enterprises to consolidate multiple AI use cases into one platform. B2B founders should design their platforms to naturally expand within organizations and reduce vendor fragmentation, creating stickiness and increasing average contract values. Leverage architectural advantages for unit economics: By positioning their personal language models between customer use cases and large language models, Personal AI achieved "10x lower cost" per token. This architectural decision created both privacy benefits and economic advantages. B2B founders should consider how their technical architecture can create sustainable competitive advantages in both functionality and economics, not just features. Geography matters more than you think for fundraising: Suman identified his biggest fundraising mistake as not moving to San Francisco earlier, stating "back in 2022 or 2023 is when I should have moved to San Francisco, period." He learned that being part of the Silicon Valley ecosystem and conversation is critical for fundraising success. B2B founders should consider the strategic importance of physical presence in key markets, especially when raising capital, and not underestimate the value of in-person relationship building.   //   Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe.  www.GlobalTalent.co   //   Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM 

In this episode, host Jim Love explores the growing influence of Palantir, a company that has rapidly risen to become the 19th largest public company in the US. He discusses Palantir's data management products and the concerns surrounding its capabilities in government surveillance. The episode also covers Google's new personal context feature for its Gemini AI, which raises questions about privacy and data usage. Love compares AI technologies like ChatGPT and highlights the need for caution when interpreting AI-generated explanations. The episode wraps up with a discussion on improving AI accuracy through cross-checking and validation methods. 00:00 Introduction: The Rise of Palantir 00:46 Palantir's Products and Impact 01:53 Concerns and Criticisms of Palantir 02:53 Google Gemini's Personal AI 04:22 Privacy Concerns with AI Memory 07:11 AI's Inconsistent Explanations 08:31 Understanding AI's Limitations 11:31 Conclusion and Call to Action

Send us a textCanada's healthcare system, once the crown jewel of our national identity, now faces an unprecedented crisis. Emergency rooms overflow with patients waiting hours for care, while millions struggle to find a family doctor. The healthcare professionals we depend on are burning out at alarming rates, caught in a system that seems increasingly unable to meet the complex needs of Canadians.But what if we're looking at the problem all wrong? What if the solution isn't just about more funding, more beds, or more doctors? Abbas Zavar MD, from the University of Toronto's Institute of Health Policy, Management and Evaluation suggests a paradigm shift – one that leverages the power of personalized medicine and artificial intelligence to transform how care is delivered.Through groundbreaking research, Zavar explores how we might collect and consolidate medical data from numerous sources using AI, applying sophisticated knowledge management methodologies to transform data and information into actionable insights. This approach wouldn't just benefit individual patients through more tailored care – it could fundamentally reduce strain on the entire system by improving outcomes, enhancing efficiency, and boosting patient satisfaction.From overcrowded emergency rooms to remote rural healthcare areas, from fragmented provincial systems to the mounting pressures of an aging population, we examine the challenges facing Canadian healthcare and the innovative approaches that could chart a path forward. Whether you're a healthcare professional, policy maker, or simply a concerned Canadian, this conversation offers a compelling vision for how we might preserve the universal, accessible care that defines us as a nation.Subscribe now and join us for "Making it Personal" – an episode that might just change how you think about the future of healthcare in Canada.Blog Post for this episodeThe music for this episode, Out There, is performed by our current artist in residence, #TracyJones from his album #LuckyTimeYou can find out more about Tracy by visiting the Blog Post for his episodeKnowledge Management Institute of CanadaFrom those who know to those who need to knowWorkplace Innovation Network for CanadaEvery Graduate is Innovation-Enabled; Every Employee can Contribute to InnovationDisclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Support the showreview us on Podchaser Show website - https://fwiw.buzzsprout.comFollow us on:Show Blog Face Book Instagram: Support usEmail us: fwiw.thepodcast@gmail.com

The AI revolution isn't just another technological shift—it's a fundamental disruption that will permanently alter the relationship between capital and labor. In this episode, Hans and Brian explore how artificial intelligence is accelerating at an unprecedented pace, threatening traditional employment while creating massive opportunities for those who are prepared.Drawing insights from Jordi Visser's analysis on AI's impact on Wall Street, they examine why this disruption is different from past innovations. Unlike previous technological advances that created new job categories, AI has the potential to replace both mental and physical labor at a speed that far exceeds society's ability to adapt.The discussion emphasizes why building a strong capital base through strategies like Infinite Banking Concepts (IBC) may be more crucial than ever. Rather than trying to predict exactly how AI will unfold, Hans and Brian advocate for creating flexible financial strategies that can thrive regardless of the specific outcomes.Capital Compounds, Labor Waits: The fundamental shift happening now is that AI enables capital to grow exponentially while labor becomes increasingly replaceable. Companies can dramatically reduce their workforce while simultaneously increasing productivity and profits, creating an unprecedented divergence between capital owners and workers.The Speed of Disruption: What once took decades of technological adoption now happens in quarters. The pace of AI advancement means traditional economic models and Fed policies may be inadequate for managing a world where markets boom while unemployment rises simultaneously.Building Financial Resilience: Rather than trying to predict exactly how AI will unfold, the focus should be on creating flexible financial strategies that can thrive regardless of the specific outcomes. Having accessible capital and ownership positions becomes critical for capturing opportunities in this rapidly changing landscape.Embracing AI as a Tool: Instead of resisting technological change, individuals and businesses should actively learn to leverage AI for productivity gains. Those who adapt early will have significant advantages over those who try to avoid or ignore these tools.➡️Chapters:00:00 - Opening thoughts on AI as unprecedented disruption01:00 - Introduction to the episode and Jordi Visser's insights03:00 - Brian's real estate closing and dry powder strategy04:00 - Comparing AI to previous disruptors (internet, mobile phones)07:00 - Capital compounds, labor waits - the new paradigm09:00 - Which industries and jobs are at risk11:00 - The future of airline pilots and automation13:00 - Logarithmic scale of technological change15:00 - The death of the university system18:00 - Trade jobs and physical labor considerations19:00 - Building capital for the next generation21:00 - Social unrest and economic disparity risks24:00 - Christian perspective on fear and preparation25:00 - Federal Reserve challenges with AI disruption27:00 - IBC as resilient foundational strategy29:00 - The three-body problem analogy for unpredictability31:00 - Personal AI experiences and practical applications34:00 - Don't become a "boomer with a phone"36:00 - Meta and Tesla's AI investments39:00 - The importance of staying current with AI41:00 - July 4th plans and closing thoughtsGot Questions? Reach out to us at info@remnantfinance.com or book a call at www.remnantfinance.com/calendar !⁠Visit https://remnantfinance.com for more informationFOLLOW REMNANT FINANCEYoutube: @RemnantFinance (https://www.youtube.com/@RemnantFinance)Facebook: @remnantfinance (https://www.facebook.com/profile?id=61560694316588)Twitter: @remnantfinance (https://x.com/remnantfinance)TikTok: @RemnantFinance Don't forget to hit LIKE and SUBSCRIBE

LifeBlood: We talked about personal language models, how they're similar and different from large language models, the benefits of having a personal AI to you and your company, how it works and how much time it frees up, which industries work best, and the process for making it happen, with Suman Kanuganti, Founder of Personal AI.  Listen to learn what percentage of the workforce AI will inhabit five years from now! You can learn more about Suman at Personal.AI, X, Instagram, Facebook, and LinkedIn.  Thanks, as always for listening! If you got some value and enjoyed the show, please leave us a review here: ​​https://ratethispodcast.com/lifebloodpodcast You can learn more about us at LifeBlood.Live, Twitter, LinkedIn, Instagram, YouTube and Facebook or you'd like to be a guest on the show, contact us at contact@LifeBlood.Live.  Stay up to date by getting our monthly updates. Want to say “Thanks!” You can buy us a cup of coffee. https://www.buymeacoffee.com/lifeblood Copyright LifeBlood 2025.

In this episode of Generative Now, Lightspeed Partner Michael Mignano sits down with two co-investors: Steve Jang, Co-Founder and Partner at Kindred Ventures, and Scott Belsky, Partner at A24 and founder of A24 Labs. Together they explore the current state and future of consumer AI, from why most products still look like chatbots, to what's next in AI-powered hardware, browsers, and personal agents. They dive into the concept of “personal AI,” discussing memory, context, and the emerging opportunities (and risks) around consumer data and model control. They also touch on use cases like AI-powered dating wingmen, simulated versions of ourselves, and the next generation of AI-first operating systems. Episode Chapters: (00:00) Welcome and Introductions(00:43) The Current State of AI Products(02:48) Surprises and Challenges with LLMs(05:24) Future of Consumer AI and Personal AI(15:49) Memory and Personalization in AI(21:52) Potential Risks and Business Models(24:22) The Battle for User Data in AI(25:11) Optimism in AI Model Inference(27:00) The Role of Open Source Models(28:13) The Future of AI Hardware(28:54) Challenges and Opportunities in AI Hardware Startups(30:29) The Evolution of Consumer Hardware(38:36) The Reinvention of Browsers(46:23) The Potential of AI-Enhanced Browsers(47:54) Conclusion and Final ThoughtsStay 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.

In this episode of the Level Up Claims podcast, host Galen Hair is joined by Charlotte Lindberg, Program Manager at Personal AI, to explore exciting applications of AI in modern business. Charlotte shares how their personalized AI systems are transforming industries by automating competitor analysis, enhancing customer intake, and refining internal workflows, all while ensuring data privacy and security. With AI's rapid evolution, this episode is a must-listen for anyone interested in leveraging AI to stay ahead in their field. Tune in for insights to level up your business!   Highlights Misconceptions about AI before entering the field. Personalized AI vs. generic large language models. Building workflows to reduce reliance on constant re-prompting. Creating multiple AI personas for different functions. Importance of proprietary knowledge in AI training. Cross-referencing external and internal resources for strategy. Application of AI for competitor intelligence. Conversational AI for legal intake processes. Alternative to traditional live chat with AI interaction. Encouragement to consider AI before hiring decisions. Concept of AI agents interacting with each other. Efficiency and support as the purpose of AI, not replacement.   Episode Resources Connect with Galen M. Hair https://insuranceclaimhq.com hair@hairshunnarah.com  https://levelupclaim.com/ Connect with Charlotte Lindberg https://www.linkedin.com/in/charlotte-lindberg619/   

In today's episode, we'll explore three ways to level up your understanding and use of artificial intelligence. Visit AVID Open Access to learn more.

Zooko has been thinking about building decentralized Chaumian ecash since the mid 1990s. When Bitcoin came out, he was the first cypherpunk to write a blog post about it. And today, he's honoring Satoshi's last wish of researching ZK proofs with Zcash. Time stamps: Introducing Zooko (00:00:55) Early Cypherpunk and Digital Cash Days (00:03:18) Cypherpunk vs. Cryptography Mailing List (00:03:52) Discovering Digital Cash and Chaum's Blind Signing (00:04:44) The Internet, BBS, and the Fall of the Berlin Wall (00:09:10) Growing Up with Technology in Eastern Europe (00:12:04) First Computers and Early Programming (00:13:02) Loading Games and Computer Limitations (00:14:05) Impact of Tariffs and Internet Access (00:16:47) Economies of Scale and Computer Conferences (00:18:28) Social Media, Privacy, and Information Overload (00:19:33) Twitter Blocking & Echo Chambers (00:21:06) Personal AI and Information Control (00:24:08) First Computer Memories and Speech Synthesis (00:28:55) Programming Languages: BASIC, Pascal, and C++ (00:31:15) Vocoder Technology and Privacy (00:32:27) Video Games and University Life (00:34:28) Science Fiction and Cypherpunk Literature (00:36:10) Working at DigiCash and Early Digital Currency (00:39:04) Nick Szabo, Social Scalability, and Economic Thought (00:46:27) AI-Generated Personas and Real-Life Community (00:52:42) Global Talent, Work Ethic, and Financial Management (00:55:51) David Chaum as a Boss and DigiCash's Downfall (01:00:06) Decentralizing Ecash and Early Bitcoin Attempts (01:04:50) Wei Dai, Crypto++ and Peer-to-Peer Innovation (01:06:19) Open Source Maintenance and Funding Challenges (01:10:00) Why Digital Cash Mattered in the 1990s (01:12:30) Cypherpunks, Remailers, and Privacy Motivation (01:13:46) Bitcoin's Early Days and Zooko's Initial Skepticism (01:19:55) Bitcoin Advocacy and Security Flaws (01:39:07) Zooko's Triangle and Naming Systems (01:43:31) Altcoins, Experimentation, and Maximalism (01:51:09) Bitcoin's 2013 Privacy Papers: ZeroCoin & ZeroCash (01:55:12) Funding Innovation and Open Source Economics (02:00:27) Zcash Launch, Sidechains, and Market Dynamics (02:03:40) Sponsors and Bitcoin Innovation Renaissance (02:09:01) Proof of Stake, Hybrid Models, and Cross Link (02:26:14) Network Sustainability and Burn Mechanisms (02:33:37) Quantum Resistance and Lost Coins (02:37:26) Peter Todd's Compute Node, Zcash Ceremony and Trusted Setup (02:42:19) Zero Knowledge Proofs and Counterfeiting Bug (03:05:35) Zcash Design Choices and Block Size (03:43:04) Bitcoin Blocksize War and Evolution (03:49:09) Zcash vs. Monero and Privacy Models (04:27:33) Tachyon: Sean Bowe's Scalable Privacy Breakthrough (04:08:22) Live Zcash Demo and Address Privacy (05:27:00) Zcash Mining, Liquidity, and DEX Integration (05:49:57) Decentralization, Transparency, and the Future (06:02:22) Closing Remarks and Podcast Wrap-Up (06:05:15)

Summary   In this episode, Wayne Marcel interviews Pradeep Goel from PAI3, discussing the intersection of blockchain, AI, and user privacy. Pradeep shares his extensive background in tech and healthcare, emphasizing the importance of trust in technology. The conversation explores the evolution of user experience in technology, the need for decentralized AI, and how PAI3 aims to empower users with personal AI that keeps their data secure and private. The discussion highlights the potential for community ownership in AI infrastructure and the critical need for privacy in an increasingly data-driven world. In this conversation, Wayne Marcel and Pradeep Goel discuss the future of digital currencies and AI integration in everyday devices. They explore the concept of personal nodes that empower users to control their data and AI interactions, particularly focusing on small to medium enterprises that require privacy and compliance. The discussion highlights innovative use cases for AI, especially in real estate, and emphasizes the importance of building a decentralized node community that generates revenue through AI agents. The conversation concludes with insights on user experience and community engagement in the evolving tech landscape.   Learn more about PAI3: https://pai3.ai/    Takeaways   Pradeep Goel has over 30 years of experience in tech and healthcare. Blockchain can create trustless systems that enhance user confidence. AI is becoming integral to personal and professional life. Decentralization is key to user sovereignty and data privacy. User experience must evolve to be more accessible and intuitive. PAI3 aims to provide personal AI that keeps data under user control. Community ownership of AI infrastructure can democratize technology. Privacy is paramount in the age of AI and data manipulation. Users should not have to sacrifice privacy for convenience. FIO handles can enhance user interaction with AI agents. Non-human entities will increasingly use digital currencies. AI will integrate into everyday devices like refrigerators. Personal nodes empower users to control their data. Small to medium enterprises need AI for privacy compliance. AI agents can generate revenue for node operators. Innovative AI use cases can transform real estate transactions. Decentralized communities can drive economic growth. Early adopters of nodes gain reputation and advantages. User experience is crucial for technology adoption. Community engagement is essential for the success of new technologies.   Chapters   00:00 Introduction to PAI3 and Background of Pradeep Goel 02:08 The Shift to Blockchain and Trustless Systems 04:58 Navigating AI and Trust Issues 07:59 The Evolution of Technology and User Experience 12:08 Understanding PAI3's Personal AI Concept 15:02 Decentralized AI Infrastructure and Community Ownership 17:50 Privacy, Control, and the Future of AI 23:35 The Rise of Non-Human Entities in Digital Currency 24:05 AI Integration in Everyday Devices 25:31 Empowering Users with Personal Nodes 28:10 Targeting Small to Medium Enterprises 30:58 Privacy and Compliance in AI Usage 32:24 Revenue Generation through AI Agents 34:39 Innovative Use Cases for AI in Real Estate 37:59 Building a Decentralized Node Community 40:05 Future Prospects and Community Engagement

Join Jake Aaron Villarreal as he chats with Suman Kanuganti, CEO of Personal AI. They explore Suman's background in tech and robotics, and how Personal AI addresses the challenge of scaling human expertise. Suman explains their approach to creating tailored AI models for industries like legal and finance, enabling digital twins to enhance productivity. He covers rapid deployment, cost-effectiveness, and standing out in the AI market, while touching on persona managers and navigating industry changes. Listen in for insights on boosting human potential with AI! Host: Jake Aaron Villarreal, leads the top AI Recruitment Firm in Silicon Valley www.matchrelevant.com, uncovering stories of funded startups and goes behinds to scenes to tell their founders journey.  If you are growing AI Startup or have a great storytelling, email us at: jake.villarreal@matchrelevant.com  

Listen Now to 108 Future Now Show Is the Singularity here yet, how about the Quickening?  Maybe the Great Reset?  Whatever you call it, reality is shifting faster than ever, and we’ll do our best to help you navigate these swirling waters of our shared existence on this planet.  Naturally, we had to chat about the tariff situation, as both Sun and Bobby love economics of have some valuable insights to share.  And for an Australian POV we have Shane checking in from down under.  After Shane shared with us his concerns about cell phones and wifi, we delved into the future of education and the rise of personalized AI tutors, not simply for us humans but for the dogs as well! And then there are the de-extincted Dire wolves and the new four-legged robot from Kawasaki that you can ride like a horse, enjoy!!

What if the next big leap in technology isn't just another gadget, but a transformative bridge to a smarter, more efficient future? In this eye-opening episode of Thrive LouD with Lou Diamond, meet Edward Crump, the remarkable inventor of Amazon Alexa and a significant force behind innovation at companies like Netflix and Nike. Now serving as the CTO of Champion Venture Partners, Crump shares the secrets behind his incredible journey through technology and entrepreneurship. Key Highlights: Discover how a lifelong technologist like Ed Crump started his career by selling his first program at the age of 12 and eventually played a pivotal role in creating Amazon Alexa. Learn about the pioneering projects he led at major companies like Netflix and Nike, and how he transitioned to the venture capital world with Champion Venture Partners. Gain insights into Crump's vision for the future, where personal AIs and smart environments revolutionize our daily lives while respecting data privacy. Understand the importance of interdisciplinary collaboration, as demonstrated by Champion Venture Partners, in driving innovative solutions in sports science, health, and wellness. Join Lou Diamond and Ed Crump on this enlightening exploration into the future of technology and innovation, and discover how you can be a part of this thrilling journey. TIMESTAMPED OVERVIEW 00:00 Entrepreneurial Journey: From Startups to Amazon 06:36 Tech Giants' Race: Amazon Outpaces Apple 09:52 Leveraging Innovation in Digital Experiences 10:40 Future of Personal AI and Data 14:17 Data Privacy Concerns in AI 19:57 New Venture Collaboration Insights 21:20 "Unique Access to Sports Ecosystem" 25:48 "Passion for Management Collaboration" 28:40 "Digital Twins: A Matrix Parallel" 30:52 Sugar-Free Mental Clarity 35:44 "Ed Crump: Coolest Guest Spotlight" Connect with Ed Check out Champion Venture Partners company's website Follow Us:

In this episode of Generation AI, hosts JC Bonia and Ardis Kadiu explore the rapidly evolving landscape of personal AI agents. They analyze four types of agents - general task agents, researcher agents, workflow agents, and code generation agents - before diving into the recent sensation around Manus AI. The hosts discuss how AI agents are shifting from simple task execution to complex autonomous workflows, potentially transforming how work gets done across industries. The conversation highlights a critical turning point where AI can now operate with minimal human supervision, challenging previous assumptions about the "human in the loop" paradigm.Introduction to AI Agents and Recent Developments (00:00:00)JC and Ardis introduce the episode's focus on AI agentsBrief mention of Manus AI creating waves in the tech worldSetting the stage for understanding personal AI agents in 2025Discussion of how these agents will shape workflows and productivityThe Evolution of AI Agents (00:01:48)The shift from frontier models to foundational agent AIHow 2023 saw the emergence of autonomous personal agentsRequirements for agents: reasoning, adaptation, and action capabilitiesTime compression in AI development with DeepSeek and Grok 3Categories of Personal AI Agents (00:05:52)Four main types of agents identified by the hostsGeneral task agents for personal productivity and schedulingResearcher agents for deep knowledge gathering and synthesisWorkflow agents for orchestrating multi-step processesCode generation agents for software developmentDeep Research Agents in Action (00:09:41)Ardis shares how research agents have changed his workflowExamples of using AI for market research and data gatheringTools like Perplexity offering free research capabilitiesClaude and Gemini providing deep research featuresThe value of referenced, data-backed insights for decision makingWorkflow Agents: Connecting the Pieces (00:15:10)Explanation of how workflow agents orchestrate multiple processesZapier and Make.com for workflow automationRelevance for personalizationLindy.ai for Gmail integration and automationThe ability to mix and match between different LLMs for optimal resultsCode Generation Agents (00:18:00)The acceleration of AI code writing capabilitiesReference to Anthropic CEO's claim about AI writing 90% of code soonCursor and Anthropic Code Agent toolsLovable - no-code solution for building applicationsBolt as another code generation platformIntroduction to "vibe coding" - collaborating with AI on code without technical expertiseManus AI: A Game-Changing Personal Agent (00:24:45)Overview of what makes Manus different from previous agentsThe massive waitlist and $10,000 access codes showing huge demandHow Manus provides autonomous task execution with minimal human inputThe open-source alternative "Anus" created using Manus itselfThe ability to work continuously in the background and notify when completeThe Future of Work with Autonomous Agents (00:32:16)Implications for knowledge work and job rolesThe shift from "human in the loop" to "human as supervisor" modelsArdis acknowledging the difficulty in claiming AI won't replace certain rolesDiscussion about which jobs might remain relevant in the AI futureHow autonomous agents are changing organizational designClosing Thoughts on the AI Landscape (00:39:34)Reflection on how major AI releases create excitement and commercialization racesAnticipation of more autonomous agent solutions following ManusThe rapid pace of change in the AI spaceHow these tools will continue to democratize access to advanced capabilitiesExpectations for what might emerge in the coming months - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you'll like other Enrollify shows too! Enrollify is made possible by Element451 — the next-generation AI student engagement platform helping institutions create meaningful and personalized interactions with students. Learn more at element451.com. Attend the 2025 Engage Summit! The Engage Summit is the premier conference for forward-thinking leaders and practitioners dedicated to exploring the transformative power of AI in education. Explore the strategies and tools to step into the next generation of student engagement, supercharged by AI. You'll leave ready to deliver the most personalized digital engagement experience every step of the way.Register now to secure your spot in Charlotte, NC, on June 24-25, 2025! Early bird registration ends February 1st -- https://engage.element451.com/register

Would you want a personal AI that acts as your twin mind? I've always dreamed of never forgetting anything. And instantly and effortlessly remembering anything I need, right away. Now, an AI-driven app called TwinMind might help me do something similar.In this episode of TechFirst we chat with Daniel George, the CEO of TwinMind. This innovative AI app aims to become your second brain, capturing and processing your life events in real-time. We chat about George's inspiration behind TwinMind, its features, future vision, and the LLM tech making it possible. We also chat about privacy and security concerns.00:00 Introduction to AI and Twin Mind00:51 How Twin Mind Works01:37 Real-World Applications and User Experience03:37 Privacy and Security Concerns11:06 Technology Behind Twin Mind15:17 Future of AI and Twin Mind's Vision21:08 Conclusion and Final Thoughts

SummaryIn this episode of EGGS: The Podcast, we have Suman Kanuganti, co-founder and CEO of Personal AI. They discuss Suman's journey from engineering to entrepreneurship, the philosophy behind Personal AI, and how it aims to augment human memory and cognition. Suman explains the ethical implications of AI, the importance of data ownership in the Web3 era, and how Personal AI can revolutionize content creation and community engagement. The conversation also touches on the onboarding process for users and the future prospects of personal AI technology..TakeawaysSuman Kanuganti is passionate about solving human problems through technology.Personal AI aims to augment human memory and cognition.The technology is designed to respect user privacy and data ownership.Ethics in AI revolves around ownership and attribution of personal data.Personal AI is about extending human performance rather than replacing it.The future of AI includes creating personal legacies and memories.Web3 technology enhances data ownership and privacy for users.Content creators can leverage Personal AI for community engagement and monetization.Onboarding to Personal AI involves user interaction and data integration.The future of AI is about individual intelligence rather than collective intelligence.Chapters00:00 Introduction to Suman Kanuganti and Personal AI03:31 The Journey of an Entrepreneur06:47 Philosophy Behind Personal AI09:13 How Personal AI Works12:37 Collective vs Individual Intelligence14:00 Ethics of AI and Data Ownership20:21 The Future of AI in Education26:20 AGI vs API: Extending Human Intelligence27:48 The Future of Personal AI and Individual Histories30:15 Understanding Web3 and Data Ownership33:09 Legacy and Digital Memory: A New Approach39:40 Human-Centric AI Conversations42:06 Onboarding and Cost of Personal AI49:45Community Engagement and Monetization with AICredits:Hosted by Michael Smith and Ryan RoghaarProduced by Ryan RoghaarTheme music: "Perfect Day" by OPM The Carton:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://medium.com/the-carton-by-eggs⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Feature with Zack Chmeis of Straight Method up now! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://medium.com/the-carton-by-eggs/zack-chmeis-35dae817ac28⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ The Eggs Podcast Spotify playlist:bit.ly/eggstunesThe Plugs:The Show: eggscast.com@eggshow on twitter and instagramOn iTunes: itun.es/i6dX3pCOnStitcher: bit.ly/eggs_on_stitcherAlso available on Google Play Music!Mike "DJ Ontic":Shows and info:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠djontic.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@djontic on twitterRyan Roghaar:⁠⁠⁠⁠⁠rogha.ar

Bundle tickets for AIE Summit NYC have now sold out. You can now sign up for the livestream — where we will be making a big announcement soon. NYC-based readers and Summit attendees should check out the meetups happening around the Summit.2024 was a very challenging year for AI Hardware. After the buzz of CES last January, 2024 was marked by the meteoric rise and even harder fall of AI Wearables companies like Rabbit and Humane, with an assist from a pre-wallpaper-app MKBHD. Even Friend.com, the first to launch in the AI pendant category, and which spurred Rewind AI to rebrand to Limitless and follow in their footsteps, ended up delaying their wearable ship date and launching an experimental website chatbot version. We have been cautiously excited about this category, keeping tabs on most of the top entrants, including Omi and Compass. However, to date the biggest winner still standing from the AI Wearable wars is Bee AI, founded by today's guests Maria and Ethan. Bee is an always on hardware device with beamforming microphones, 7 day battery life and a mute button, that can be worn as a wristwatch or a clip-on pin, backed by an incredible transcription, diarization and very long context memory processing pipeline that helps you to remember your day, your todos, and even perform actions by operating a virtual cloud phone. This is one of the most advanced, production ready, personal AI agents we've ever seen, so we were excited to be their first podcast appearance. We met Bee when we ran the world's first Personal AI meetup in April last year.As a user of Bee (and not an investor! just a friend!) it's genuinely been a joy to use, and we were glad to take advantage of the opportunity to ask hard questions about the privacy and legal/ethical side of things as much as the AI and Hardware engineering side of Bee. We hope you enjoy the episode and tune in next Friday for Bee's first conference talk: Building Perfect Memory.Show Notes* Bee Website* Ethan Sutin, Maria de Lourdes Zollo* Bee @ Personal AI Meetup* Buy Bee with Listener Discount Code!Timestamps* 00:00:00 Introductions and overview of Bee Computer* 00:01:58 Personal context and use cases for Bee* 00:03:02 Origin story of Bee and the founders' background* 00:06:56 Evolution from app to hardware device* 00:09:54 Short-term value proposition for users* 00:12:17 Demo of Bee's functionality* 00:17:54 Hardware form factor considerations* 00:22:22 Privacy concerns and legal considerations* 00:30:57 User adoption and reactions to wearing Bee* 00:35:56 CES experience and hardware manufacturing challenges* 00:41:40 Software pipeline and inference costs* 00:53:38 Technical challenges in real-time processing* 00:57:46 Memory and personal context modeling* 01:02:45 Social aspects and agent-to-agent interactions* 01:04:34 Location sharing and personal data exchange* 01:05:11 Personality analysis capabilities* 01:06:29 Hiring and future of always-on AITranscriptAlessio [00:00:04]: Hey everyone, welcome to the Latent Space podcast. This is Alessio, partner and CTO at Decibel Partners, and I'm joined by my co-host Swyx, founder of SmallAI.swyx [00:00:12]: Hey, and today we are very honored to have in the studio Maria and Ethan from Bee.Maria [00:00:16]: Hi, thank you for having us.swyx [00:00:20]: And you are, I think, the first hardware founders we've had on the podcast. I've been looking to have had a hardware founder, like a wearable hardware, like a wearable hardware founder for a while. I think we're going to have two or three of them this year. And you're the ones that I wear every day. So thank you for making Bee. Thank you for all the feedback and the usage. Yeah, you know, I've been a big fan. You are the speaker gift for the Engineering World's Fair. And let's start from the beginning. What is Bee Computer?Ethan [00:00:52]: Bee Computer is a personal AI system. So you can think of it as AI living alongside you in first person. So it can kind of capture your in real life. So with that understanding can help you in significant ways. You know, the obvious one is memory, but that's that's really just the base kind of use case. So recalling and reflective. I know, Swyx, that you you like the idea of journaling, but you don't but still have some some kind of reflective summary of what you experienced in real life. But it's also about just having like the whole context of a human being and understanding, you know, giving the machine the ability to understand, like, what's going on in your life. Your attitudes, your desires, specifics about your preferences, so that not only can it help you with recall, but then anything that you need it to do, it already knows, like, if you think about like somebody who you've worked with or lived with for a long time, they just know kind of without having to ask you what you would want, it's clear that like, that is the future that personal AI, like, it's just going to be very, you know, the AI is just so much more valuable with personal context.Maria [00:01:58]: I will say that one of the things that we are really passionate is really understanding this. Personal context, because we'll make the AI more useful. Think about like a best friend that know you so well. That's one of the things that we are seeing from the user. They're using from a companion standpoint or professional use cases. There are many ways to use B, but companionship and professional are the ones that we are seeing now more.swyx [00:02:22]: Yeah. It feels so dry to talk about use cases. Yeah. Yeah.Maria [00:02:26]: It's like really like investor question. Like, what kind of use case?Ethan [00:02:28]: We're just like, we've been so broken and trained. But I mean, on the base case, it's just like, don't you want your AI to know everything you've said and like everywhere you've been, like, wouldn't you want that?Maria [00:02:40]: Yeah. And don't stay there and repeat every time, like, oh, this is what I like. You already know that. And you do things for me based on that. That's I think is really cool.swyx [00:02:50]: Great. Do you want to jump into a demo? Do you have any other questions?Alessio [00:02:54]: I want to maybe just cover the origin story. Just how did you two meet? What was the was this the first idea you started working on? Was there something else before?Maria [00:03:02]: I can start. So Ethan and I, we know each other from six years now. He had a company called Squad. And before that was called Olabot and was a personal AI. Yeah, I should. So maybe you should start this one. But yeah, that's how I know Ethan. Like he was pivoting from personal AI to Squad. And there was a co-watching with friends product. I had experience working with TikTok and video content. So I had the pivoting and we launched Squad and was really successful. And at the end. The founders decided to sell that to Twitter, now X. So both of us, we joined X. We launched Twitter Spaces. We launched many other products. And yeah, till then, we basically continue to work together to the start of B.Ethan [00:03:46]: The interesting thing is like this isn't the first attempt at personal AI. In 2016, when I started my first company, it started out as a personal AI company. This is before Transformers, no BERT even like just RNNs. You couldn't really do any convincing dialogue at all. I met Esther, who was my previous co-founder. We both really interested in the idea of like having a machine kind of model or understand a dynamic human. We wanted to make personal AI. This was like more geared towards because we had obviously much limited tools, more geared towards like younger people. So I don't know if you remember in 2016, there was like a brief chatbot boom. It was way premature, but it was when Zuckerberg went up on F8 and yeah, M and like. Yeah. The messenger platform, people like, oh, bots are going to replace apps. It was like for about six months. And then everybody realized, man, these things are terrible and like they're not replacing apps. But it was at that time that we got excited and we're like, we tried to make this like, oh, teach the AI about you. So it was just an app that you kind of chatted with and it would ask you questions and then like give you some feedback.Maria [00:04:53]: But Hugging Face first version was launched at the same time. Yeah, we started it.Ethan [00:04:56]: We started out the same office as Hugging Face because Betaworks was our investor. So they had to think. They had a thing called Bot Camp. Betaworks is like a really cool VC because they invest in out there things. They're like way ahead of everybody else. And like back then it was they had something called Bot Camp. They took six companies and it was us and Hugging Face. And then I think the other four, I'm pretty sure, are dead. But and Hugging Face was the one that really got, you know, I mean, 30% success rate is pretty good. Yeah. But yeah, when we it was, it was like it was just the two founders. Yeah, they were kind of like an AI company in the beginning. It was a chat app for teenagers. A lot of people don't know that Hugging Face was like, hey, friend, how was school? Let's trade selfies. But then, you know, they built the Transformers library, I believe, to help them make their chat app better. And then they open sourced and it was like it blew up. And like they're like, oh, maybe this is the opportunity. And now they're Hugging Face. But anyway, like we were obsessed with it at that time. But then it was clear that there's some people who really love chatting and like answering questions. But it's like a lot of work, like just to kind of manually.Maria [00:06:00]: Yeah.Ethan [00:06:01]: Teach like all these things about you to an AI.Maria [00:06:04]: Yeah, there were some people that were super passionate, for example, teenagers. They really like, for example, to speak about themselves a lot. So they will reply to a lot of questions and speak about them. But most of the people, they don't really want to spend time.Ethan [00:06:18]: And, you know, it's hard to like really bring the value with it. We had like sentence similarity and stuff and could try and do, but it was like it was premature with the technology at the time. And so we pivoted. We went to YC and the long story, but like we pivoted to consumer video and that kind of went really viral and got a lot of usage quickly. And then we ended up selling it to Twitter, worked there and left before Elon, not related to Elon, but left Twitter.swyx [00:06:46]: And then I should mention this is the famous time when well, when when Elon was just came in, this was like Esther was the famous product manager who slept there.Ethan [00:06:56]: My co-founder, my former co-founder, she sleeping bag. She was the sleep where you were. Yeah, yeah, she stayed. We had left by that point.swyx [00:07:03]: She very stayed, she's famous for staying.Ethan [00:07:06]: Yeah, but later, later left or got, I think, laid off, laid off. Yeah, I think the whole product team got laid off. She was a product manager, director. But yeah, like we left before that. And then we're like, oh, my God, things are different now. You know, I think this is we really started working on again right before ChatGPT came out. But we had an app version and we kind of were trying different things around it. And then, you know, ultimately, it was clear that, like, there were some limitations we can go on, like a good question to ask any wearable company is like, why isn't this an app? Yes. Yeah. Because like.Maria [00:07:40]: Because we tried the app at the beginning.Ethan [00:07:43]: Yeah. Like the idea that it could be more of a and B comes from ambient. So like if it was more kind of just around you all the time and less about you having to go open the app and do the effort to, like, enter in data that led us down the path of hardware. Yeah. Because the sensors on this are microphones. So it's capturing and understanding audio. We started actually our first hardware with a vision component, too. And we can talk about why we're not doing that right now. But if you wanted to, like, have a continuous understanding of audio with your phone, it would monopolize your microphone. It would get interrupted by calls and you'd have to remember to turn it on. And like that little bit of friction is actually like a substantial barrier to, like, get your phone. It's like the experience of it just being with you all the time and like living alongside you. And so I think that that's like the key reason it's not an app. And in fact, we do have Apple Watch support. So anybody who has a watch, Apple Watch can use it right away without buying any hardware. Because we worked really hard to make a version for the watch that can run in the background, not super drain your battery. But even with the watch, there's still friction because you have to remember to turn it on and it still gets interrupted if somebody calls you. And you have to remember to. We send a notification, but you still have to go back and turn it on because it's just the way watchOS works.Maria [00:09:04]: One of the things that we are seeing from our Apple Watch users, like I love the Apple Watch integration. One of the things that we are seeing is that people, they start using it from Apple Watch and after a couple of days they buy the B because they just like to wear it.Ethan [00:09:17]: Yeah, we're seeing.Maria [00:09:18]: That's something that like they're learning and it's really cool. Yeah.Ethan [00:09:21]: I mean, I think like fundamentally we like to think that like a personal AI is like the mission. And it's more about like the understanding. Connecting the dots, making use of the data to provide some value. And the hardware is like the ears of the AI. It's not like integrating like the incoming sensor data. And that's really what we focus on. And like the hardware is, you know, if we can do it well and have a great experience on the Apple Watch like that, that's just great. I mean, but there's just some platform restrictions that like existing hardware makes it hard to provide that experience. Yeah.Alessio [00:09:54]: What do people do in like two or three days that then convinces them to buy it? They buy the product. This feels like a product where like after you use it for a while, you have enough data to start to get a lot of insights. But it sounds like maybe there's also like a short term.Maria [00:10:07]: From the Apple Watch users, I believe that because every time that you receive a call after, they need to go back to B and open it again. Or for example, every day they need to charge Apple Watch and reminds them to open the app every day. They feel like, okay, maybe this is too much work. I just want to wear the B and just keep it open and that's it. And I don't need to think about it.Ethan [00:10:27]: I think they see the kind of potential of it just from the watch. Because even if you wear it a day, like we send a summary notification at the end of the day about like just key things that happened to you in your day. And like I didn't even think like I'm not like a journaling type person or like because like, oh, I just live the day. Why do I need to like think about it? But like it's actually pretty sometimes I'm surprised how interesting it is to me just to kind of be like, oh, yeah, that and how it kind of fits together. And I think that's like just something people get immediately with the watch. But they're like, oh, I'd like an easier watch. I'd like a better way to do this.swyx [00:10:58]: It's surprising because I only know about the hardware. But I use the watch as like a backup for when I don't have the hardware. I feel like because now you're beamforming and all that, this is significantly better. Yeah, that's the other thing.Ethan [00:11:11]: We have way more control over like the Apple Watch. You're limited in like you can't set the gain. You can't change the sample rate. There's just very limited framework support for doing anything with audio. Whereas if you control it. Then you can kind of optimize it for your use case. The Apple Watch isn't meant to be kind of recording this. And we can talk when we get to the part about audio, why it's so hard. This is like audio on the hardest level because you don't know it has to work in all environments or you try and make it work as best as it can. Like this environment is very great. We're in a studio. But, you know, afterwards at dinner in a restaurant, it's totally different audio environment. And there's a lot of challenges with that. And having really good source audio helps. But then there's a lot more. But with the machine learning that still is, you know, has to be done to try and account because like you can tune something for one environment or another. But it'll make one good and one bad. And like making something that's flexible enough is really challenging.Alessio [00:12:10]: Do we want to do a demo just to set the stage? And then we kind of talk about.Maria [00:12:14]: Yeah, I think we can go like a walkthrough and the prod.Alessio [00:12:17]: Yeah, sure.swyx [00:12:17]: So I think we said I should. So for listeners, we'll be switching to video. That was superimposed on. And to this video, if you want to see it, go to our YouTube, like and subscribe as always. Yeah.Maria [00:12:31]: And by the bee. Yes.swyx [00:12:33]: And by the bee. While you wait. While you wait. Exactly. It doesn't take long.Maria [00:12:39]: Maybe you should have a discount code just for the listeners. Sure.swyx [00:12:43]: If you want to offer it, I'll take it. All right. Yeah. Well, discount code Swyx. Oh s**t. Okay. Yeah. There you go.Ethan [00:12:49]: An important thing to mention also is that the hardware is meant to work with the phone. And like, I think, you know, if you, if you look at rabbit or, or humane, they're trying to create like a new hardware platform. We think that the phone's just so dominant and it will be until we have the next generation, which is not going to be for five, you know, maybe some Orion type glasses that are cheap enough and like light enough. Like that's going to take a long time before with the phone rather than trying to just like replace it. So in the app, we have a summary of your days, but at the top, it's kind of what's going on now. And that's updating your phone. It's updating continuously. So right now it's saying, I'm discussing, you know, the development of, you know, personal AI, and that's just kind of the ongoing conversation. And then we give you a readable form. That's like little kind of segments of what's the important parts of the conversations. We do speaker identification, which is really important because you don't want your personal AI thinking you said something and attributing it to you when it was just somebody else in the conversation. So you can also teach it other people's voices. So like if some, you know, somebody close to you, so it can start to understand your relationships a little better. And then we do conversation end pointing, which is kind of like a task that didn't even exist before, like, cause nobody needed to do this. But like if you had somebody's whole day, how do you like break it into logical pieces? And so we use like not just voice activity, but other signals to try and split up because conversations are a little fuzzy. They can like lead into one, can start to the next. So also like the semantic content of it. When a conversation ends, we run it through larger models to try and get a better, you know, sense of the actual, what was said and then summarize it, provide key points. What was the general atmosphere and tone of the conversation and potential action items that might've come of that. But then at the end of the day, we give you like a summary of all your day and where you were and just kind of like a step-by-step walkthrough of what happened and what were the key points. That's kind of just like the base capture layer. So like if you just want to get a kind of glimpse or recall or reflect that's there. But really the key is like all of this is now like being influenced on to generate personal context about you. So we generate key items known to be true about you and that you can, you know, there's a human in the loop aspect is like you can, you have visibility. Right. Into that. And you can, you know, I have a lot of facts about technology because that's basically what I talk about all the time. Right. But I do have some hobbies that show up and then like, how do you put use to this context? So I kind of like measure my day now and just like, what is my token output of the day? You know, like, like as a human, how much information do I produce? And it's kind of measured in tokens and it turns out it's like around 200,000 or so a day. But so in the recall case, we have, um. A chat interface, but the key here is on the recall of it. Like, you know, how do you, you know, I probably have 50 million tokens of personal context and like how to make sense of that, make it useful. So I can ask simple, like, uh, recall questions, like details about the trip I was on to Taiwan, where recently we're with our manufacturer and, um, in real time, like it will, you know, it has various capabilities such as searching through your, your memories, but then also being able to search the web or look at my calendar, we have integrations with Gmail and calendars. So like connecting the dots between the in real life and the digital life. And, you know, I just asked it about my Taiwan trip and it kind of gives me the, the breakdown of the details, what happened, the issues we had around, you know, certain manufacturing problems and it, and it goes back and references the conversation so I can, I can go back to the source. Yeah.Maria [00:16:46]: Not just the conversation as well, the integrations. So we have as well Gmail and Google calendar. So if there is something there that was useful to have more context, we can see that.Ethan [00:16:56]: So like, and it can, I never use the word agentic cause it's, it's cringe, but like it can search through, you know, if I, if I'm brainstorming about something that spans across, like search through my conversation, search the email, look at the calendar and then depending on what's needed. Then synthesize, you know, something with all that context.Maria [00:17:18]: I love that you did the Spotify wrapped. That was pretty cool. Yeah.Ethan [00:17:22]: Like one thing I did was just like make a Spotify wrap for my 2024, like of my life. You can do that. Yeah, you can.Maria [00:17:28]: Wait. Yeah. I like those crazy.Ethan [00:17:31]: Make a Spotify wrapped for my life in 2024. Yeah. So it's like surprisingly good. Um, it like kind of like game metrics. So it was like you visited three countries, you shipped, you know, XMini, beta. Devices.Maria [00:17:46]: And that's kind of more personal insights and reflection points. Yeah.swyx [00:17:51]: That's fascinating. So that's the demo.Ethan [00:17:54]: Well, we have, we can show something that's in beta. I don't know if we want to do it. I don't know.Maria [00:17:58]: We want to show something. Do it.Ethan [00:18:00]: And then we can kind of fit. Yeah.Maria [00:18:01]: Yeah.Ethan [00:18:02]: So like the, the, the, the vision is also like, not just about like AI being with you in like just passively understanding you through living your experience, but also then like it proactively suggesting things to you. Yeah. Like at the appropriate time. So like not just pool, but, but kind of, it can step in and suggest things to you. So, you know, one integration we have that, uh, is in beta is with WhatsApp. Maria is asking for a recommendation for an Italian restaurant. Would you like me to look up some highly rated Italian restaurants nearby and send her a suggestion?Maria [00:18:34]: So what I did, I just sent to Ethan a message through WhatsApp in his own personal phone. Yeah.Ethan [00:18:41]: So, so basically. B is like watching all my incoming notifications. And if it meets two criteria, like, is it important enough for me to raise a suggestion to the user? And then is there something I could potentially help with? So this is where the actions come into place. So because Maria is my co-founder and because it was like a restaurant recommendation, something that it could probably help with, it proposed that to me. And then I can, through either the chat and we have another kind of push to talk walkie talkie style button. It's actually a multi-purpose button to like toggle it on or off, but also if you push to hold, you can talk. So I can say, yes, uh, find one and send it to her on WhatsApp is, uh, an Android cloud phone. So it's, uh, going to be able to, you know, that has access to all my accounts. So we're going to abstract this away and the execution environment is not really important, but like we can go into technically why Android is actually a pretty good one right now. But, you know, it's searching for Italian restaurants, you know, and we don't have to watch this. I could be, you know, have my ear AirPods in and in my pocket, you know, it's going to go to WhatsApp, going to find Maria's thread, send her the response and then, and then let us know. Oh my God.Alessio [00:19:56]: But what's the, I mean, an Italian restaurant. Yeah. What did it choose? What did it choose? It's easy to say. Real Italian is hard to play. Exactly.Ethan [00:20:04]: It's easy to say. So I doubt it. I don't know.swyx [00:20:06]: For the record, since you have the Italians, uh, best Italian restaurant in SF.Maria [00:20:09]: Oh my God. I still don't have one. What? No.Ethan [00:20:14]: I don't know. Successfully found and shared.Alessio [00:20:16]: Let's see. Let's see what the AI says. Bottega. Bottega? I think it's Bottega.Maria [00:20:21]: Have you been to Bottega? How is it?Alessio [00:20:24]: It's fine.Maria [00:20:25]: I've been to one called like Norcina, I think it was good.Alessio [00:20:29]: Bottega is on Valencia Street. It's fine. The pizza is not good.Maria [00:20:32]: It's not good.Alessio [00:20:33]: Some of the pastas are good.Maria [00:20:34]: You know, the people I'm sorry to interrupt. Sorry. But there is like this Delfina. Yeah. That here everybody's like, oh, Pizzeria Delfina is amazing. I'm overrated. This is not. I don't know. That's great. That's great.swyx [00:20:46]: The North Beach Cafe. That place you took us with Michele last time. Vega. Oh.Alessio [00:20:52]: The guy at Vega, Giuseppe, he's Italian. Which one is that? It's in Bernal Heights. Ugh. He's nice. He's not nice. I don't know that one. What's the name of the place? Vega. Vega. Vega. Cool. We got the name. Vega. But it's not Vega.Maria [00:21:02]: It's Italian. Whatswyx [00:21:10]: Vega. Vega.swyx [00:21:16]: Vega. Vega. Vega. Vega. Vega. Vega. Vega. Vega. Vega.Ethan [00:21:29]: Vega. Vega. Vega. Vega. Vega.Ethan [00:21:40]: We're going to see a lot of innovation around hardware and stuff, but I think the real core is being able to do something useful with the personal context. You always had the ability to capture everything, right? We've always had recorders, camcorders, body cameras, stuff like that. But what's different now is we can actually make sense and find the important parts in all of that context.swyx [00:22:04]: Yeah. So, and then one last thing, I'm just doing this for you, is you also have an API, which I think I'm the first developer against. Because I had to build my own. We need to hire a developer advocate. Or just hire AI engineers. The point is that you should be able to program your own assistant. And I tried OMI, the former friend, the knockoff friend, and then real friend doesn't have an API. And then Limitless also doesn't have an API. So I think it's very important to own your data. To be able to reprocess your audio, maybe. Although, by default, you do not store audio. And then also just to do any corrections. There's no way that my needs can be fully met by you. So I think the API is very important.Ethan [00:22:47]: Yeah. And I mean, I've always been a consumer of APIs in all my products.swyx [00:22:53]: We are API enjoyers in this house.Ethan [00:22:55]: Yeah. It's very frustrating when you have to go build a scraper. But yeah, it's for sure. Yeah.swyx [00:23:03]: So this whole combination of you have my location, my calendar, my inbox. It really is, for me, the sort of personal API.Alessio [00:23:10]: And is the API just to write into it or to have it take action on external systems?Ethan [00:23:16]: Yeah, we're expanding it. It's right now read-only. In the future, very soon, when the actions are more generally available, it'll be fully supported in the API.Alessio [00:23:27]: Nice. I'll buy one after the episode.Ethan [00:23:30]: The API thing, to me, is the most interesting. Yeah. We do have real-time APIs, so you can even connect a socket and connect it to whatever you want it to take actions with. Yeah. It's too smart for me.Alessio [00:23:43]: Yeah. I think when I look at these apps, and I mean, there's so many of these products, we launch, it's great that I can go on this app and do things. But most of my work and personal life is managed somewhere else. Yeah. So being able to plug into it. Integrate that. It's nice. I have a bunch of more, maybe, human questions. Sure. I think maybe people might have. One, is it good to have instant replay for any argument that you have? I can imagine arguing with my wife about something. And, you know, there's these commercials now where it's basically like two people arguing, and they're like, they can throw a flag, like in football, and have an instant replay of the conversation. I feel like this is similar, where it's almost like people cannot really argue anymore or, like, lie to each other. Because in a world in which everybody adopts this, I don't know if you thought about it. And also, like, how the lies. You know, all of us tell lies, right? How do you distinguish between when I'm, there's going to be sometimes things that contradict each other, because I might say something publicly, and I might think something, really, that I tell someone else. How do you handle that when you think about building a product like this?Maria [00:24:48]: I would say that I like the fact that B is an objective point of view. So I don't care too much about the lies, but I care more about the fact that can help me to understand what happened. Mm-hmm. And the emotions in a really objective way, like, really, like, critical and objective way. And if you think about humans, they have so many emotions. And sometimes something that happened to me, like, I don't know, I would feel, like, really upset about it or really angry or really emotional. But the AI doesn't have those emotions. It can read the conversation, understand what happened, and be objective. And I think the level of support is the one that I really like more. Instead of, like, oh, did this guy tell me a lie? I feel like that's not exactly, like, what I feel. I find it curious for me in terms of opportunity.Alessio [00:25:35]: Is the B going to interject in real time? Say I'm arguing with somebody. The B is like, hey, look, no, you're wrong. What? That person actually said.Ethan [00:25:43]: The proactivity is something we're very interested in. Maybe not for, like, specifically for, like, selling arguments, but more for, like, and I think that a lot of the challenge here is, you know, you need really good reasoning to kind of pull that off. Because you don't want it just constantly interjecting, because that would be super annoying. And you don't want it to miss things that it should be interjecting. So, like, it would be kind of a hard task even for a human to be, like, just come in at the right times when it's appropriate. Like, it would take the, you know, with the personal context, it's going to be a lot better. Because, like, if somebody knows about you, but even still, it requires really good reasoning to, like, not be too much or too little and just right.Maria [00:26:20]: And the second part about, well, like, some things, you know, you say something to somebody else, but after I change my mind, I send something. Like, it's every time I have, like, different type of conversation. And I'm like, oh, I want to know more about you. And I'm like, oh, I want to know more about you. I think that's something that I found really fascinating. One of the things that we are learning is that, indeed, humans, they evolve over time. So, for us, one of the challenges is actually understand, like, is this a real fact? Right. And so far, what we do is we give, you know, to the, we have the human in the loop that can say, like, yes, this is true, this is not. Or they can edit their own fact. For sure, in the future, we want to have all of that automatized inside of the product.Ethan [00:26:57]: But, I mean, I think your question kind of hits on, and I know that we'll talk about privacy, but also just, like, if you have some memory and you want to confirm it with somebody else, that's one thing. But it's for sure going to be true that in the future, like, not even that far into the future, that it's just going to be kind of normalized. And we're kind of in a transitional period now. And I think it's, like, one of the key things that is for us to kind of navigate that and make sure we're, like, thinking of all the consequences. And how to, you know, make the right choices in the way that everything's designed. And so, like, it's more beneficial than it could be harmful. But it's just too valuable for your AI to understand you. And so if it's, like, MetaRay bands or the Google Astra, I think it's just people are going to be more used to it. So people's behaviors and expectations will change. Whether that's, like, you know, something that is going to happen now or in five years, it's probably in that range. And so, like, I think we... We kind of adapt to new technologies all the time. Like, when the Ring cameras came out, that was kind of quite controversial. It's like... But now it's kind of... People just understand that a lot of people have cameras on their doors. And so I think that...Maria [00:28:09]: Yeah, we're in a transitional period for sure.swyx [00:28:12]: I will press on the privacy thing because that is the number one thing that everyone talks about. Obviously, I think in Silicon Valley, people are a little bit more tech-forward, experimental, whatever. But you want to go mainstream. You want to sell to consumers. And we have to worry about this stuff. Baseline question. The hardest version of this is law. There are one-party consent states where this is perfectly legal. Then there are two-party consent states where they're not. What have you come around to this on?Ethan [00:28:38]: Yeah, so the EU is a totally different regulatory environment. But in the U.S., it's basically on a state-by-state level. Like, in Nevada, it's single-party. In California, it's two-party. But it's kind of untested. You know, it's different laws, whether it's a phone call, whether it's in person. In a state like California, it's two-party. Like, anytime you're in public, there's no consent comes into play because the expectation of privacy is that you're in public. But we process the audio and nothing is persisted. And then it's summarized with the speaker identification focusing on the user. Now, it's kind of untested on a legal, and I'm not a lawyer, but does that constitute the same as, like, a recording? So, you know, it's kind of a gray area and untested in law right now. I think that the bigger question is, you know, because, like, if you had your Ray-Ban on and were recording, then you have a video of something that happened. And that's different than kind of having, like, an AI give you a summary that's focused on you that's not really capturing anybody's voice. You know, I think the bigger question is, regardless of the legal status, like, what is the ethical kind of situation with that? Because even in Nevada that we're—or many other U.S. states where you can record. Everything. And you don't have to have consent. Is it still, like, the right thing to do? The way we think about it is, is that, you know, we take a lot of precautions to kind of not capture personal information of people around. Both through the speaker identification, through the pipeline, and then the prompts, and the way we store the information to be kind of really focused on the user. Now, we know that's not going to, like, satisfy a lot of people. But I think if you do try it and wear it again. It's very hard for me to see anything, like, if somebody was wearing a bee around me that I would ever object that it captured about me as, like, a third party to it. And like I said, like, we're in this transitional period where the expectation will just be more normalized. That it's, like, an AI. It's not capturing, you know, a full audio recording of what you said. And it's—everything is fully geared towards helping the person kind of understand their state and providing valuable information to them. Not about, like, logging details about people they encounter.Alessio [00:30:57]: You know, I've had the same question also with the Zoom meeting transcribers thing. I think there's kind of, like, the personal impact that there's a Firefly's AI recorder. Yeah. I just know that it's being recorded. It's not like a—I don't know if I'm going to say anything different. But, like, intrinsically, you kind of feel—because it's not pervasive. And I'm curious, especially, like, in your investor meetings. Do people feel differently? Like, have you had people ask you to, like, turn it off? Like, in a business meeting, to not record? I'm curious if you've run into any of these behaviors.Maria [00:31:29]: You know what's funny? On my end, I wear it all the time. I take my coffee, a blue bottle with it. Or I work with it. Like, obviously, I work on it. So, I wear it all the time. And so far, I don't think anybody asked me to turn it off. I'm not sure if because they were really friendly with me that they know that I'm working on it. But nobody really cared.swyx [00:31:48]: It's because you live in SF.Maria [00:31:49]: Actually, I've been in Italy as well. Uh-huh. And in Italy, it's a super privacy concern. Like, Europe is a super privacy concern. And again, they're nothing. Like, it's—I don't know. Yeah. That, for me, was interesting.Ethan [00:32:01]: I think—yeah, nobody's ever asked me to turn it off, even after giving them full demos and disclosing. I think that some people have said, well, my—you know, in a personal relationship, my partner initially was, like, kind of uncomfortable about it. We heard that from a few users. And that was, like, more in just, like— It's not like a personal relationship situation. And the other big one is people are like, I do like it, but I cannot wear this at work. I guess. Yeah. Yeah. Because, like, I think I will get in trouble based on policies or, like, you know, if you're wearing it inside a research lab or something where you're working on things that are kind of sensitive that, like—you know, so we're adding certain features like geofencing, just, like, at this location. It's just never active.swyx [00:32:50]: I mean, I've often actually explained to it the other way, where maybe you only want it at work, so you never take it from work. And it's just a work device, just like your Zoom meeting recorder is a work device.Ethan [00:33:09]: Yeah, professionals have been a big early adopter segment. And you say in San Francisco, but we have out there our daily shipment of over 100. If you go look at the addresses, Texas, I think, is our biggest state, and Florida, just the biggest states. A lot of professionals who talk for, and we didn't go out to build it for that use case, but I think there is a lot of demand for white-collar people who talk for a living. And I think we're just starting to talk with them. I think they just want to be able to improve their performance around, understand what they were doing.Alessio [00:33:47]: How do you think about Gong.io? Some of these, for example, sales training thing, where you put on a sales call and then it coaches you. They're more verticalized versus having more horizontal platform.Ethan [00:33:58]: I am not super familiar with those things, because like I said, it was kind of a surprise to us. But I think that those are interesting. I've seen there's a bunch of them now, right? Yeah. It kind of makes sense. I'm terrible at sales, so I could probably use one. But it's not my job, fundamentally. But yeah, I think maybe it's, you know, we heard also people with restaurants, if they're able to understand, if they're doing well.Maria [00:34:26]: Yeah, but in general, I think a lot of people, they like to have the double check of, did I do this well? Or can you suggest me how I can do better? We had a user that was saying to us that he used for interviews. Yeah, he used job interviews. So he used B and after asked to the B, oh, actually, how do you think my interview went? What I should do better? And I like that. And like, oh, that's actually like a personal coach in a way.Alessio [00:34:50]: Yeah. But I guess the question is like, do you want to build all of those use cases? Or do you see B as more like a platform where somebody is going to build like, you know, the sales coach that connects to B so that you're kind of the data feed into it?Ethan [00:35:02]: I don't think this is like a data feed, more like an understanding kind of engine and like definitely. In the future, having third parties to the API and building out for all the different use cases is something that we want to do. But the like initial case we're trying to do is like build that layer for all that to work. And, you know, we're not trying to build all those verticals because no startup could do that well. But I think that it's really been quite fascinating to see, like, you know, I've done consumer for a long time. Consumer is very hard to predict, like, what's going to be. It's going to be like the thing that's the killer feature. And so, I mean, we really believe that it's the future, but we don't know like what exactly like process it will take to really gain mass adoption.swyx [00:35:50]: The killer consumer feature is whatever Nikita Beer does. Yeah. Social app for teens.Ethan [00:35:56]: Yeah, well, I like Nikita, but, you know, he's good at building bootstrap companies and getting them very viral. And then selling them and then they shut down.swyx [00:36:05]: Okay, so you just came back from CES.Maria [00:36:07]: Yeah, crazy. Yeah, tell us. It was my first time in Vegas and first time CES, both of them were overwhelming.swyx [00:36:15]: First of all, did you feel like you had to do it because you're in consumer hardware?Maria [00:36:19]: Then we decided to be there and to have a lot of partners and media meetings, but we didn't have our own booth. So we decided to just keep that. But we decided to be there and have a presence there, even just us and speak with people. It's very hard to stand out. Yeah, I think, you know, it depends what type of booth you have. I think if you can prepare like a really cool booth.Ethan [00:36:41]: Have you been to CES?Maria [00:36:42]: I think it can be pretty cool.Ethan [00:36:43]: It's massive. It's huge. It's like 80,000, 90,000 people across the Venetian and the convention center. And it's, to me, I always wanted to go just like...Maria [00:36:53]: Yeah, you were the one who was like...swyx [00:36:55]: I thought it was your idea.Ethan [00:36:57]: I always wanted to go just as a, like, just as a fan of...Maria [00:37:01]: Yeah, you wanted to go anyways.Ethan [00:37:02]: Because like, growing up, I think CES like kind of peaked for a while and it was like, oh, I want to go. That's where all the cool, like... gadgets, everything. Yeah, now it's like SmartBitch and like, you know, vacuuming the picks up socks. Exactly.Maria [00:37:13]: There are a lot of cool vacuums. Oh, they love it.swyx [00:37:15]: They love the Roombas, the pick up socks.Maria [00:37:16]: And pet tech. Yeah, yeah. And dog stuff.swyx [00:37:20]: Yeah, there's a lot of like robot stuff. New TVs, new cars that never ship. Yeah. Yeah. I'm thinking like last year, this time last year was when Rabbit and Humane launched at CES and Rabbit kind of won CES. And now this year, no wearables except for you guys.Ethan [00:37:32]: It's funny because it's obviously it's AI everything. Yeah. Like every single product. Yeah.Maria [00:37:37]: Toothbrush with AI, vacuums with AI. Yeah. Yeah.Ethan [00:37:41]: We like hair blow, literally a hairdryer with AI. We saw.Maria [00:37:45]: Yeah, that was cool.Ethan [00:37:46]: But I think that like, yeah, we didn't, another kind of difference like around our, like we didn't want to do like a big overhypey promised kind of Rabbit launch. Because I mean, they did, hats off to them, like on the presentation and everything, obviously. But like, you know, we want to let the product kind of speak for itself and like get it out there. And I think we were really happy. We got some very good interest from media and some of the partners there. So like it was, I think it was definitely worth going. I would say like if you're in hardware, it's just kind of how you make use of it. Like I think to do it like a big Rabbit style or to have a huge show on there, like you need to plan that six months in advance. And it's very expensive. But like if you, you know, go there, there's everybody's there. All the media is there. There's a lot of some pre-show events that it's just great to talk to people. And the industry also, all the manufacturers, suppliers are there. So we learned about some really cool stuff that we might like. We met with somebody. They have like thermal energy capture. And it's like, oh, could you maybe not need to charge it? Because they have like a thermal that can capture your body heat. And what? Yeah, they're here. They're actually here. And in Palo Alto, they have like a Fitbit thing that you don't have to charge.swyx [00:39:01]: Like on paper, that's the power you can get from that. What's the power draw for this thing?Ethan [00:39:05]: It's more than you could get from the body heat, it turns out. But it's quite small. I don't want to disclose technically. But I think that solar is still, they also have one where it's like this thing could be like the face of it. It's just a solar cell. And like that is more realistic. Or kinetic. Kinetic, apparently, I'm not an expert in this, but they seem to think it wouldn't be enough. Kinetic is quite small, I guess, on the capture.swyx [00:39:33]: Well, I mean, watch. Watchmakers have been powering with kinetic for a long time. Yeah. We don't have to talk about that. I just want to get a sense of CES. Would you do it again? I definitely would not. Okay. You're just a fan of CES. Business point of view doesn't make sense. I happen to be in the conference business, right? So I'm kind of just curious. Yeah.Maria [00:39:49]: So I would say as we did, so without the booth and really like straightforward conversations that were already planned. Three days. That's okay. I think it was okay. Okay. But if you need to invest for a booth that is not. Okay. A good one. Which is how much? I think.Ethan [00:40:06]: 10 by 10 is 5,000. But on top of that, you need to. And then they go like 10 by 10 is like super small. Yeah. And like some companies have, I think would probably be more in like the six figure range to get. And I mean, I think that, yeah, it's very noisy. We heard this, that it's very, very noisy. Like obviously if you're, everything is being launched there and like everything from cars to cell phones are being launched. Yeah. So it's hard to stand out. But like, I think going in with a plan of who you want to talk to, I feel like.Maria [00:40:36]: That was worth it.Ethan [00:40:37]: Worth it. We had a lot of really positive media coverage from it and we got the word out and like, so I think we accomplished what we wanted to do.swyx [00:40:46]: I mean, there's some world in which my conference is kind of the CES of whatever AI becomes. Yeah. I think that.Maria [00:40:52]: Don't do it in Vegas. Don't do it in Vegas. Yeah. Don't do it in Vegas. That's the only thing. I didn't really like Vegas. That's great. Amazing. Those are my favorite ones.Alessio [00:41:02]: You can not fit 90,000 people in SF. That's really duh.Ethan [00:41:05]: You need to do like multiple locations so you can do Moscone and then have one in.swyx [00:41:09]: I mean, that's what Salesforce conferences. Well, GDC is how many? That might be 50,000, right? Okay. Form factor, right? Like my way to introduce this idea was that I was at the launch in Solaris. What was the old name of it? Newton. Newton. Of Tab when Avi first launched it. He was like, I thought through everything. Every form factor, pendant is the thing. And then we got the pendants for this original. The first one was just pendants and I took it off and I forgot to put it back on. So you went through pendants, pin, bracelet now, and maybe there's sort of earphones in the future, but what was your iterations?Maria [00:41:49]: So we had, I believe now three or four iterations. And one of the things that we learned is indeed that people don't like the pendant. In particular, woman, you don't want to have like anything here on the chest because it's maybe you have like other necklace or any other stuff.Ethan [00:42:03]: You just ship a premium one that's gold. Yeah. We're talking some fashion reached out to us.Maria [00:42:11]: Some big fashion. There is something there.swyx [00:42:13]: This is where it helps to have an Italian on the team.Maria [00:42:15]: There is like some big Italian luxury. I can't say anything. So yeah, bracelet actually came from the community because they were like, oh, I don't want to wear anything like as necklace or as a pendant. Like it's. And also like the one that we had, I don't know if you remember, like it was like circle, like it was like this and was like really bulky. Like people didn't like it. And also, I mean, I actually, I don't dislike, like we were running fast when we did that. Like our, our thing was like, we wanted to ship them as soon as possible. So we're not overthinking the form factor or the material. We were just want to be out. But after the community organically, basically all of them were like, well, why you don't just don't do the bracelet? Like he's way better. I will just wear it. And that's it. So that's how we ended up with the bracelet, but it's still modular. So I still want to play around the father is modular and you can, you know, take it off and wear it as a clip or in the future, maybe we will bring back the pendant. But I like the fact that there is some personalization and right now we have two colors, yellow and black. Soon we will have other ones. So yeah, we can play a lot around that.Ethan [00:43:25]: I think the form factor. Like the goal is for it to be not super invasive. Right. And something that's easy. So I think in the future, smaller, thinner, not like apple type obsession with thinness, but it does matter like the, the size and weight. And we would love to have more context because that will help, but to make it work, I think it really needs to have good power consumption, good battery life. And, you know, like with the humane swapping the batteries, I have one, I mean, I'm, I'm, I think we've made, and there's like pretty incredible, some of the engineering they did, but like, it wasn't kind of geared towards solving the problem. It was just, it's too heavy. The swappable batteries is too much to man, like the heat, the thermals is like too much to light interface thing. Yeah. Like that. That's cool. It's cool. It's cool. But it's like, if, if you have your handout here, you want to use your phone, like it's not really solving a problem. Cause you know how to use your phone. It's got a brilliant display. You have to kind of learn how to gesture this low range. Yeah. It's like a resolution laser, but the laser is cool that the fact they got it working in that thing, even though if it did overheat, but like too heavy, too cumbersome, too complicated with the multiple batteries. So something that's power efficient, kind of thin, both in the physical sense and also in the edge compute kind of way so that it can be as unobtrusive as possible. Yeah.Maria [00:44:47]: Users really like, like, I like when they say yes, I like to wear it and forget about it because I don't need to charge it every single day. On the other version, I believe we had like 35 hours or something, which was okay. But people, they just prefer the seven days battery life and-swyx [00:45:03]: Oh, this is seven days? Yeah. Oh, I've been charging every three days.Maria [00:45:07]: Oh, no, you can like keep it like, yeah, it's like almost seven days.swyx [00:45:11]: The other thing that occurs to me, maybe there's an Apple watch strap so that I don't have to double watch. Yeah.Maria [00:45:17]: That's the other one that, yeah, I thought about it. I saw as well the ones that like, you can like put it like back on the phone. Like, you know- Plog. There is a lot.swyx [00:45:27]: So yeah, there's a competitor called Plog. Yeah. It's not really a competitor. They only transcribe, right? Yeah, they only transcribe. But they're very good at it. Yeah.Ethan [00:45:33]: No, they're great. Their hardware is really good too.swyx [00:45:36]: And they just launched the pin too. Yeah.Ethan [00:45:38]: I think that the MagSafe kind of form factor has a lot of advantages, but some disadvantages. You can definitely put a very huge battery on that, you know? And so like the battery life's not, the power consumption's not so much of a concern, but you know, downside the phone's like in your pocket. And so I think that, you know, form factors will continue to evolve, but, and you know, more sensors, less obtrusive and-Maria [00:46:02]: Yeah. We have a new version.Ethan [00:46:04]: Easier to use.Maria [00:46:05]: Okay.swyx [00:46:05]: Looking forward to that. Yeah. I mean, we'll, whenever we launch this, we'll try to show whatever, but I'm sure you're going to keep iterating. Last thing on hardware, and then we'll go on to the software side, because I think that's where you guys are also really, really strong. Vision. You wanted to talk about why no vision? Yeah.Ethan [00:46:20]: I think it comes down to like when you're, when you're a startup, especially in hardware, you're just, you work within the constraints, right? And so like vision is super useful and super interesting. And what we actually started with, there's two issues with vision that make it like not the place we decided to start. One is power consumption. So you know, you kind of have to trade off your power budget, like capturing even at a low frame rate and transmitting the radio is actually the thing that takes up the majority of the power. So. Yeah. So you would really have to have quite a, like unacceptably, like large and heavy battery to do it continuously all day. We have, I think, novel kind of alternative ways that might allow us to do that. And we have some prototypes. The other issue is form factor. So like even with like a wide field of view, if you're wearing something on your chest, it's going, you know, obviously the wrist is not really that much of an option. And if you're wearing it on your chest, it's, it's often gone. You're going to probably be not capturing like the field of view of what's interesting to you. So that leaves you kind of with your head and face. And then anything that goes on, on the face has to look cool. Like I don't know if you remember the spectacles, it was kind of like the first, yeah, but they kind of, they didn't, they were not very successful. And I think one of the reasons is they were, they're so weird looking. Yeah. The camera was so big on the side. And if you look at them at array bands where they're way more successful, they, they look almost indistinguishable from array bands. And they invested a lot into that and they, they have a partnership with Qualcomm to develop custom Silicon. They have a stake in Luxottica now. So like they coming from all the angles, like to make glasses, I think like, you know, I don't know if you know, Brilliant Labs, they're cool company, they make frames, which is kind of like a cool hackable glasses and, and, and like, they're really good, like on hardware, they're really good. But even if you look at the frames, which I would say is like the most advanced kind of startup. Yeah. Yeah. Yeah. There was one that launched at CES, but it's not shipping yet. Like one that you can buy now, it's still not something you'd wear every day and the battery life is super short. So I think just the challenge of doing vision right, like off the bat, like would require quite a bit more resources. And so like audio is such a good entry point and it's also the privacy around audio. If you, if you had images, that's like another huge challenge to overcome. So I think that. Ideally the personal AI would have, you know, all the senses and you know, we'll, we'll get there. Yeah. Okay.swyx [00:48:57]: One last hardware thing. I have to ask this because then we'll move to the software. Were either of you electrical engineering?Ethan [00:49:04]: No, I'm CES. And so I have a, I've taken some EE courses, but I, I had done prior to working on, on the hardware here, like I had done a little bit of like embedded systems, like very little firmware, but we have luckily on the team, somebody with deep experience. Yeah.swyx [00:49:21]: I'm just like, you know, like you have to become hardware people. Yeah.Ethan [00:49:25]: Yeah. I mean, I learned to worry about supply chain power. I think this is like radio.Maria [00:49:30]: There's so many things to learn.Ethan [00:49:32]: I would tell this about hardware, like, and I know it's been said before, but building a prototype and like learning how the electronics work and learning about firmware and developing, this is like, I think fun for a lot of engineers and it's, it's all totally like achievable, especially now, like with, with the tools we have, like stuff you might've been intimidated about. Like, how do I like write this firmware now? With Sonnet, like you can, you can get going and actually see results quickly. But I think going from prototype to actually making something manufactured is a enormous jump. And it's not all about technology, the supply chain, the procurement, the regulations, the cost, the tooling. The thing about software that I'm used to is it's funny that you can make changes all along the way and ship it. But like when you have to buy tooling for an enclosure that's expensive.swyx [00:50:24]: Do you buy your own tooling? You have to.Ethan [00:50:25]: Don't you just subcontract out to someone in China? Oh, no. Do we make the tooling? No, no. You have to have CNC and like a bunch of machines.Maria [00:50:31]: Like nobody makes their own tooling, but like you have to design this design and you submitEthan [00:50:36]: it and then they go four to six weeks later. Yeah. And then if there's a problem with it, well, then you're not, you're not making any, any of your enclosures. And so you have to really plan ahead. And like.swyx [00:50:48]: I just want to leave tips for other hardware founders. Like what resources or websites are most helpful in your sort of manufacturing journey?Ethan [00:50:55]: You know, I think it's different depending on like it's hardware so specialized in different ways.Maria [00:51:00]: I will say that, for example, I should choose a manufacturer company. I speak with other founders and like we can give you like some, you know, some tips of who is good and who is not, or like who's specialized in something versus somebody else. Yeah.Ethan [00:51:15]: Like some people are good in plastics. Some people are good.Maria [00:51:18]: I think like for us, it really helped at the beginning to speak with others and understand. Okay. Like who is around. I work in Shenzhen. I lived almost two years in China. I have an idea about like different hardware manufacturer and all of that. Soon I will go back to Shenzhen to check out. So I think it's good also to go in place and check.Ethan [00:51:40]: Yeah, you have to like once you, if you, so we did some stuff domestically and like if you have that ability. The reason I say ability is very expensive, but like to build out some proof of concepts and do field testing before you take it to a manufacturer, despite what people say, there's really good domestic manufacturing for small quantities at extremely high prices. So we got our first PCB and the assembly done in LA. So there's a lot of good because of the defense industry that can do quick churn. So it's like, we need this board. We need to find out if it's working. We have this deadline we want to start, but you need to go through this. And like if you want to have it done and fabricated in a week, they can do it for a price. But I think, you know, everybody's kind of trending even for prototyping now moving that offshore because in China you can do prototyping and get it within almost the same timeline. But the thing is with manufacturing, like it really helps to go there and kind of establish the relationship. Yeah.Alessio [00:52:38]: My first company was a hardware company and we did our PCBs in China and took a long time. Now things are better. But this was, yeah, I don't know, 10 years ago, something like that. Yeah.Ethan [00:52:47]: I think that like the, and I've heard this too, we didn't run into this problem, but like, you know, if it's something where you don't have the relationship, they don't see you, they don't know you, you know, you might get subcontracted out or like they're not paying attention. But like if you're, you know, you have the relationship and a priority, like, yeah, it's really good. We ended up doing the fabrication assembly in Taiwan for various reasons.Maria [00:53:11]: And I think it really helped the fact that you went there at some point. Yeah.Ethan [00:53:15]: We're really happy with the process and, but I mean the whole process of just Choosing the right people. Choosing the right people, but also just sourcing the bill materials and all of that stuff. Like, I guess like if you have time, it's not that bad, but if you're trying to like really push the speed at that, it's incredibly stressful. Okay. We got to move to the software. Yeah.Alessio [00:53:38]: Yeah. So the hardware, maybe it's hard for people to understand, but what software people can understand is that running. Transcription and summarization, all of these things in real time every day for 24 hours a day. It's not easy. So you mentioned 200,000 tokens for a day. Yeah. How do you make it basically free to run all of this for the consumer?Ethan [00:53:59]: Well, I think that the pipeline and the inference, like people think about all of these tokens, but as you know, the price of tokens is like dramatically dropping. You guys probably have some charts somewhere that you've posted. We do. And like, if you see that trend in like 250,000 input tokens, it's not really that much, right? Like the output.swyx [00:54:21]: You do several layers. You do live. Yeah.Ethan [00:54:23]: Yeah. So the speech to text is like the most challenging part actually, because you know, it requires like real time processing and then like later processing with a larger model. And one thing that is fairly obvious is that like, you don't need to transcribe things that don't have any voice in it. Right? So good voice activity is key, right? Because like the majority of most people's day is not spent with voice activity. Right? So that is the first step to cutting down the amount of compute you have to do. And voice activity is a fairly cheap thing to do. Very, very cheap thing to do. The models that need to summarize, you don't need a Sonnet level kind of model to summarize. You do need a Sonnet level model to like execute things like the agent. And we will be having a subscription for like features like that because it's, you know, although now with the R1, like we'll see, we haven't evaluated it. A deep seek? Yeah. I mean, not that one in particular, but like, you know, they're already there that can kind of perform at that level. I was like, it's going to stay in six months, but like, yeah. So self-hosted models help in the things where you can. So you are self-hosting models. Yes. You are fine tuning your own ASR. Yes. I will say that I see in the future that everything's trending down. Although like, I think there might be an intermediary step with things to become expensive, which is like, we're really interested because like the pipeline is very tedious and like a lot of tuning. Right. Which is brutal because it's just a lot of trial and error. Whereas like, well, wouldn't it be nice if an end to end model could just do all of this and learn it? If we could do transcription with like an LLM, there's so many advantages to that, but it's going to be a larger model and hence like more compute, you know, we're optim

On this episode of the Crazy Wisdom Podcast, host Stewart Alsop welcomes Reuben Bailon, an expert in AI training and technology innovation. Together, they explore the rapidly evolving field of AI, touching on topics like large language models, the promise and limits of general artificial intelligence, the integration of AI into industries, and the future of work in a world increasingly shaped by intelligent systems. They also discuss decentralization, the potential for personalized AI tools, and the societal shifts likely to emerge from these transformations. For more insights and to connect with Reuben, check out his LinkedIn.Check out this GPT we trained on the conversation!Timestamps00:00 Introduction to the Crazy Wisdom Podcast00:12 Exploring AI Training Methods00:54 Evaluating AI Intelligence02:04 The Future of Large Action Models02:37 AI in Financial Decisions and Crypto07:03 AI's Role in Eliminating Monotonous Work09:42 Impact of AI on Bureaucracies and Businesses16:56 AI in Management and Individual Contribution23:11 The Future of Work with AI25:22 Exploring Equity in Startups26:00 AI's Role in Equity and Investment28:22 The Future of Data Ownership29:28 Decentralized Web and Blockchain34:22 AI's Impact on Industries41:12 Personal AI and Customization46:59 Concluding Thoughts on AI and AGIKey InsightsThe Current State of AI Training and Intelligence: Reuben Bailon emphasized that while large language models are a breakthrough in AI technology, they do not represent general artificial intelligence (AGI). AGI will require the convergence of various types of intelligence, such as vision, sensory input, and probabilistic reasoning, which are still under development. Current AI efforts focus more on building domain-specific competencies rather than generalized intelligence.AI as an Augmentative Tool: The discussion highlighted that AI is primarily being developed to augment human intelligence rather than replace it. Whether through improving productivity in monotonous tasks or enabling greater precision in areas like medical imaging, AI's role is to empower individuals and organizations by enhancing existing processes and uncovering new efficiencies.The Role of Large Action Models: Large action models represent an exciting frontier in AI, moving beyond planning and recommendations to executing tasks autonomously, with human authorization. This capability holds potential to revolutionize industries by handling complex workflows end-to-end, drastically reducing manual intervention.The Future of Personal AI Assistants: Personal AI tools have the potential to act as highly capable assistants by leveraging vast amounts of contextual and personal data. However, the technology is in its early stages, and significant progress is needed to make these assistants truly seamless and impactful in day-to-day tasks like managing schedules, filling out forms, or making informed recommendations.Decentralization and Data Ownership: Reuben highlighted the importance of a decentralized web where individuals retain ownership of their data, as opposed to the centralized platforms that dominate today. This shift could empower users, reduce reliance on large tech companies, and unlock new opportunities for personalized and secure interactions online.Impact on Work and Productivity: AI is set to reshape the workforce by automating repetitive tasks, freeing up time for more creative and fulfilling work. The rise of AI-augmented roles could lead to smaller, more efficient teams in businesses, while creating new opportunities for freelancers and independent contractors to thrive in a liquid labor market.Challenges and Opportunities in Industry Disruption: Certain industries, like software, which are less regulated, are likely to experience rapid transformation due to AI. However, heavily regulated sectors, such as legal and finance, may take longer to adapt. The discussion also touched on how startups and agile companies can pressure larger organizations to adopt AI-driven solutions, ultimately redefining competitive landscapes.

In this episode, John explores the rapid advancement of AI technology, its potential benefits, and the importance of human interaction in learning. He emphasizes how AI can serve as a valuable tool for singers and voice teachers, providing personalized coaching, practice routines, and real-time feedback, while also acknowledging the limitations of AI compared to human guidance.   Episode highlights: AI serves as an extension of our cognitive abilities. Ask AI to explain complex concepts in simple terms. AI is a valuable tool, but not a replacement for teachers.   To learn more about John Henny, his best-selling books, on-line courses, Voiceschool.com featuring his Teaching Team of Experts, Speaker Training and the Contemporary Voice Teacher Academy, visit: JohnHenny.com

We're experimenting and would love to hear from you!In this episode of Discover Daily, we explore groundbreaking developments in AI and energy sectors that are reshaping our technological landscape. OpenAI's dramatic shift towards superintelligence development, following their recent governance crisis and controversial move to a for-profit structure, signals a new chapter in artificial intelligence. CEO Sam Altman's vision of AI agents joining the workforce by 2025 presents both opportunities and challenges for the future of work.The U.S. government's historic $840 million nuclear power contract with Constellation marks a significant step towards sustainable energy solutions for AI operations. This landmark deal, providing carbon-free electricity to federal agencies, aligns with the Biden administration's ambitious goal to triple nuclear energy capacity by 2050, addressing the growing energy demands of AI technologies and data centers.The spotlight turns to Nvidia's revolutionary Project Digits, a $3,000 personal AI supercomputer that promises to democratize access to advanced AI computing. This compact powerhouse, featuring the GB10 Grace Blackwell Superchip, can handle AI models with up to 200 billion parameters and delivers petaflop-level performance. The device represents a significant milestone in making enterprise-level AI capabilities accessible to individual researchers, developers, and students, potentially accelerating innovation across various fields.From Perplexity's Discover Feed: https://www.perplexity.ai/page/sam-altman-on-ai-superintellig-iwrC9AOiRzWRXh1biDIBjghttps://www.perplexity.ai/page/u-s-buys-nuclear-power-fJy30shqQ9WWRHDTHoGwGQhttps://www.perplexity.ai/page/nvidia-s-personal-ai-supercomp-P6XoMgE8SxGbkXv.jjsFdgPerplexity is the fastest and most powerful way to search the web. Perplexity crawls the web and curates the most relevant and up-to-date sources (from academic papers to Reddit threads) to create the perfect response to any question or topic you're interested in. Take the world's knowledge with you anywhere. Available on iOS and Android Join our growing Discord community for the latest updates and exclusive content. Follow us on: Instagram Threads X (Twitter) YouTube Linkedin

A Daily Chronicle of AI Innovations on January 07th 2025Listen to this daily AI News episode at https://podcasts.apple.com/ca/podcast/ai-unraveled-latest-ai-news-trends-chatgpt-gemini-gen/id1684415169

Join us as we uncover the transformative potential of artificial intelligence in business with Mike Liu, founder and CEO of FreeFuse, and Alex Londo, founder and CEO of Klarissa AI. Mike and Alex share their expertise on how AI goes beyond mere buzzwords to become a crucial element in business strategy, offering innovative solutions for franchise owners and small business operators. They reveal how their companies are at the forefront of pioneering AI technologies that enhance operational efficiency and idea generation, ultimately moving AI from a conceptual tool to a game-changing solution for businesses.   We spotlight the power of strategic partnerships and how they can maximize business opportunities. Through personal experiences and case studies, we explore the collaborative efforts between Clarissa AI and FreeFuse that create complementary solutions, driving franchise rollouts, standardized training, and personalized customer journeys. This episode underscores the importance of focusing on specific challenges through strategic alliances, enhancing expertise and delivering effective solutions while simplifying franchise training and ensuring compliance with new regulations.   As we discuss the evolving role of AI in customer interactions, we explore its impact on reducing call volumes and improving customer service. The episode touches on the ethical considerations of AI communication, the integration of AI in everyday business operations, and the potential future of personal AI assistants. Drawing parallels with the adoption of online payment methods, we reflect on the growing acceptance of AI and its potential to revolutionize customer service, business advancement, and even personal everyday tasks, ensuring listeners are equipped to harness AI's full potential in their endeavors.   TIMESTAMPS:   (00:01) Leveraging AI in Business (11:37) Building Opportunities Through Strategic Partnerships (17:31) Maximizing AI in Franchise Training (27:05) Streamlining Customer Support With AI (37:16) Improving Customer Communication With AI (42:52) Harnessing AI for Business Advancement (49:15) The Future of Personal AI (54:00) The Future of Personal AI Companions (01:04:09) Connecting Through Technology and Networking   Connect With Mike & FreeFuse here:   https://www.linkedin.com/in/mike-liu-4wd/ https://freefuse.com   Connect With Alex & Klarissa.AI here:   https://www.linkedin.com/in/aklondo/ https://klarissa.ai   Join the FREE Path To Freedom Facebook Group here: https://www.facebook.com/groups/1634819733719715/   7 Steps to Owning a Franchise: https://path2frdm-1.hubspotpagebuilder.com/path-to-freedom-about-franchising   If you would like to learn more about this particular franchise opportunity or discuss franchise ownership in general - feel free to use the link to my calendar below to schedule a free, no-obligation introductory meeting.   https://calendly.com/wes-barefoot/introcallwithwes   Connect with Wes:   Instagram: https://www.instagram.com/path2frdm/ Facebook: https://www.facebook.com/path2frdm Linkedin: https://www.linkedin.com/in/wesleybarefoot/   #AI #FreeFuse #KlarissaAi

Send us a textChatGPT might be a scrape of the internet, but Personal AI is something entirely different—AI that's personally yours. Join us as we meet Suman Kanuganti, CEO of Personal AI, a visionary on a mission to empower individuals by creating AI extensions of their memory. Get ready to explore how this groundbreaking innovation can transform how we remember, connect, and thrive in a digital world. Let's get started!"#ArtificialIntelligence #PersonalAI #AIInnovation #MemoryExtension #EmpowermentThroughAI #SumanKanuganti #TechTalk #FutureOfAI #PodcastingAI #AIForEveryone01:35 Meet Suman Kanuganti05:57 Starting Aira, addressing needs of the blind 11:41 Bigger dreams - what would Larry do?16:27 ChatGPT… ok we've said it17:57 Introducing Personal.ai26:34 Using Personal.ai31:23 Innovative use cases33:57 Now it gets crazy38:43 It's FREE… to start42:02 Keeping your data safe44:41 Predicting the future of AI48:15 The scary part51:12 For funLinkedIn: linkedin.com/in/kanugantisuman Website: https://www.personal.ai/Want to be featured as a guest on Making Data Simple?  Reach out to us at almartintalksdata@gmail.com and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textChatGPT might be a scrape of the internet, but Personal AI is something entirely different—AI that's personally yours. Join us as we meet Suman Kanuganti, CEO of Personal AI, a visionary on a mission to empower individuals by creating AI extensions of their memory. Get ready to explore how this groundbreaking innovation can transform how we remember, connect, and thrive in a digital world. Let's get started!"#ArtificialIntelligence #PersonalAI #AIInnovation #MemoryExtension #EmpowermentThroughAI #SumanKanuganti #TechTalk #FutureOfAI #PodcastingAI #AIForEveryone01:35 Meet Suman Kanuganti05:57 Starting Aira, addressing needs of the blind 11:41 Bigger dreams - what would Larry do?16:27 ChatGPT… ok we've said it17:57 Introducing Personal.ai26:34 Using Personal.ai31:23 Innovative use cases33:57 Now it gets crazy38:43 It's FREE… to start42:02 Keeping your data safe44:41 Predicting the future of AI48:15 The scary part51:12 For funLinkedIn: linkedin.com/in/kanugantisuman Website: https://www.personal.ai/Want to be featured as a guest on Making Data Simple?  Reach out to us at almartintalksdata@gmail.com and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

This week, Don and Josh examine three stories from the world of computers. First, they discuss the seedy underside of Pokemon Go. Next, what happens when one little robot goes all Norma Rae and convinces other robots to go on strike? Finally, they get religious and talk about a church in Switzerland that has its very own AI holographic Jesus.

In episode 1781, Jack and Miles are joined by comedian and host of Parenting Is A Joke, Ophira Eisenberg, to discuss… Personal…AI…Jesus, In Addition to Jesus... There's An AI Santa, I Think We Need To Start Treating ‘Doctors' That Oprah Platforms As Total Dumbf**ks and more! Personal…AI…Jesus In Addition to Jesus... There's An AI Santa Festive or creepy? Kids are now conversing with an AI-powered Santa over the phone I Think We Need To Start Treating ‘Doctors' That Oprah Platforms As Total Dumbf**ks LISTEN: Early Summer by Ryo FukuiSee omnystudio.com/listener for privacy information.

Bret and Nirmal Mehta are joined by Ken Collins to dig into using AI for more than coding, and if we can build an AI assistant that knows us.They touch on a lot of tools and platforms. "We're bit all over the place on this one, from talking about AI features in our favorite note taking apps like Notion, to my journey of making an open AI assistant with all of my Q&A from my courses, thousands of questions and answers, to coding agents and more." Ken is a local friend in Virginia Beach and was on the show last year talking about AWS Lambda, and we've both been trying to find value in all of these AI tools for our day to day work.Be sure to check out the live recording of the complete show from October 24, 2024 on YouTube (Stream 279).★Topics★The Lifestyle Copilot Blog PostServerless AI Inference with Gemma 2 Blog Post Creators & Guests Cristi Cotovan - Editor Beth Fisher - Producer Bret Fisher - Host Ken Collins - Guest Nirmal Mehta - Host (00:00) - Intro (01:26) - AI in Recruitment at Torc (03:25) - AI for Day to Day Workflows (04:44) - Notion AI and RAG (07:20) - Creating Your Own AI Search Solution (13:59) - Choosing the Right LLM for the Job (20:55) - Personal AI and Long Context Windows (25:10) - Future of Personal Fine-Tuned Models (25:52) - AI Assistants in Meetings (27:34) - Temperature and AI Hallucinations (32:07) - Agents and Tool Integration (39:31) - Apple Intelligence and Personal AI (44:56) - AI Apps on Mobile (50:00) - LoRA You can also support my free material by subscribing to my YouTube channel and my weekly newsletter at bret.news!Grab the best coupons for my Docker and Kubernetes courses.Join my cloud native DevOps community on Discord.Grab some merch at Bret's Loot BoxHomepage bretfisher.com

Have you ever wondered what the future of entrepreneurship looks like in a world where artificial intelligence can take on the roles traditionally reserved for human employees? In this episode of The Angel Next Door Podcast, host Marcia Dawood sits down with AI expert Sharon Zhang to explore the transformative impact of AI on business and society. Sharon talks about the evolving landscape of AI and its potential to not only automate mundane tasks but also to foster new business models and opportunities for creative entrepreneurship.Sharon Zhang, who boasts over 16 years of experience in artificial intelligence, emerges as a compelling guest. She began her journey at the MIT CCL lab and has since ventured through various roles, from clinical decision-making at Nuance Communications to algorithm development for hedge funds. Since 2020, she has co-founded Personal AI, a platform that builds digital twins to augment individual lives. Sharon's extensive background provides a rich foundation for discussing AI's role in modern entrepreneurship.This episode is a must-listen as Sharon provides a comprehensive view of the AI ecosystem, breaking it down into essential components like AI chips, infrastructure, foundation models, and applications. She shines a light on data privacy and the significance of user sovereignty over personal data. Furthermore, Sharon shares insights on the financial challenges faced by AI startups, the strategic moves by industry giants like OpenAI and Microsoft, and the burgeoning field of AI agents capable of performing complex tasks. Whether you're an entrepreneur, an investor, or simply fascinated by AI, this episode offers a treasure trove of knowledge and foresight into the future of artificial intelligence and its profound implications. To get the latest from Sharon Zhang, you can follow her below!LinkedIn - https://www.linkedin.com/in/xiaoranz1986/ https://www.personal.ai/Use the code PODCAST50 for 50% of any personal plan for 30 days! Sign up for Marcia's newsletter to receive tips and the latest on Angel Investing!Website: www.marciadawood.comLearn more about the documentary Show Her the Money: www.showherthemoneymovie.comAnd don't forget to follow us wherever you are!Apple Podcasts: https://pod.link/1586445642.appleSpotify: https://pod.link/1586445642.spotifyLinkedIn: https://www.linkedin.com/company/angel-next-door-podcast/Instagram: https://www.instagram.com/theangelnextdoorpodcast/TikTok: https://www.tiktok.com/@marciadawood

Have you ever wanted a customized chatbot to answer your emails for you? Now, that might be possible! In this episode of the Justice Team Podcast, the host welcomes Alec Lowi from Personal AI to discuss the possibilities of creating personalized large language models and AI chatbots. They delve into the benefits and use cases, highlighting how AI can be tailored for different industries, especially legal, to provide quick, intelligent responses based on personal data. 

In this episode of Growth Talks, Chiyong Jones, the VP of Brand Marketing at Kajabi, discusses his approach to building and evolving brand identities for startups and established companies alike.  To build a brand identity that lasts, it's incredibly important to understand the customer, create a cohesive brand system that remains flexible, and balance creativity with constraints like budget and team size. Chiyong also explores the role of brand in long-term business success, the value of authenticity in influencer partnerships, and the importance of consistency in brand messaging.  

In this enlightening episode, we welcome Eric Kramer, Head of Marketing at Personal AI. Eric delves into the revolutionary concept of creating digital twins - AI models trained on individual users' data to capture their personality, knowledge, and thinking patterns.  He explains how Personal AI is addressing the growing demand for secure, personally owned AI assistants that can handle repetitive tasks, answer questions, and even be creative on behalf of users. Eric shares insights on their target market, customer acquisition strategies, and the importance of website optimization in today's digital landscape.  This episode is a must-listen for anyone interested in the future of AI integration in personal and professional life.  

In this episode of the Blu Alchemist Podcast, host Siquoyia Blue delves into the world of artificial intelligence, sharing her personal experience and insights. With a decade of experience in the tech industry, Siquoyia introduces her AI creation, the "Shay Chat Companion," available on the Chat GPT store. Shay, programmed in Siquoyia's likeness, provides practical assistance and a unique user perspective, offering meal prep plans, coding help, and content creation ideas. Discussing both the potential benefits and risks of AI, Siquoyia emphasizes the positive impact Shay has had on her life, especially in combatting the loneliness epidemic. She calls on listeners to explore and embrace the constructive uses of AI while maintaining a cautious approach to its more controversial aspects. Siquoyia also appeals for support from her audience to continue producing meaningful content. Link to download Shay Chat Companion: https://chatgpt.com/g/g-0xGPGsOUg-shay-chat-companion Blu Alchemist Podcast Info: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Website: https://www.blualchemistpodcast.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Siquoyia Blue Website: ⁠⁠⁠⁠https://www.siquoyiablue.com⁠⁠ YouTube: @blualchemistpodcast Dating Assassins Card Game: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.datingassassins.com ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ If you want to either be a guest on or find guests for your podcast, please sign up here: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.joinpodmatch.com/siquoyia⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Donate via Cashapp: @KingSiquoyia or Venmo: @KingShayThanks for listening! Subscribe, Share and Follow us! Affiliates: BETMGM: BetMGM Casino is the #1 Online Casino in America! Come experience the thrills of the casino floor anytime, anywhere with the King of Casinos! Play hundreds of your favorite slot games as well as poker, blackjack, roulette, and video poker. Our legal, real money casino games can be found right from your phone where you’ll experience the best of MGM’s premiere casinos. BetMGM Casino play for the largest jackpots with new winners being awarded every day. Catch the excitement of the casino floor with BetMGM Casino, all in a safe, secure app where you’ll have a blast. Download the BetMGM Casino app to get in on the action today! Download: https://www.pubtrack.co/DF981CS/3335GRZ/ BINGOCASH: Bingo Cash™ is where a true classic and real cash prizes meet. Jump into a world of brain-teasing fun and leave with your heart filled with nostalgia and pockets filled with rewards. After downloading the game for FREE, you can start playing regular or cash tournaments and win real Download IOS/iPhone: https://www.pubtrack.co/DF981CS/2L4NWPH/ Download Android: https://www.pubtrack.co/DF981CS/2L63RG4/ DOMAINMONEY: Do you want to know how much you should be spending, saving or if you can afford a home? The One Page Financial Plan provides a tactical guide for those starting out and wanting to optimize their financial resources. This is a 90-minute financial planning session with an actionable One Page Plan to clean-up your current finances and get you on track for your financial goals. Book a Consultation today: https://www.pubtrack.co/DF981CS/3CJLJMR/

After a long wait, Apple is finally in the game with AI. They're launching Apple Intelligence with MacOS Sequoia and iOS 18. Pete breaks down some top features and how our devices will change moving forward. Transcripts: ⁠https://www.theneuron.ai/podcast⁠ Subscribe to the best newsletter on AI: ⁠https://theneurondaily.com⁠ Listen to The Neuron: https://lnk.to/theneuron Watch The Neuron on YouTube: ⁠https://youtube.com/@theneuronai

How close are we to realizing the dream of personal AI? Dive into the potential of small, efficient AI models that enhance our self-awareness and improve our lives without compromising our privacy. Could these advancements lead us to a future where we not only manage but truly own our data, understanding ourselves better than any corporation could? Join us as we explore the fascinating possibilities of personal AI. Links to check out Atomic Habits (Link: https://tinyurl.com/hjcajxc) Facebook's LLM transparency tool Hugging Face Demo (Link: https://tinyurl.com/4c9cmzhw) Clone yourself with Delphi A (Link: https://www.delphi.ai/) The Cold Start Problem: How to Start and Scale Network Effects (Link: https://tinyurl.com/bdzetyax) The Innovator's Dilemma: The Revolutionary Book That Will Change the Way You Do Business (Link: https://tinyurl.com/mt6ca37k) The Pile (Link: https://pile.eleuther.ai/) Host Links Guy on Nostr (Link: http://tinyurl.com/2xc96ney) Guy on X (Link: https://twitter.com/theguyswann) Guy on Instagram (Link: https://www.instagram.com/theguyswann/) Guy on TikTok (Link: https://www.tiktok.com/@theguyswann) Guy on YouTube (Link: https://www.youtube.com/@theguyswann) ⁠Bitcoin Audible on X⁠ (Link: https://twitter.com/BitcoinAudible) Check out our awesome sponsors! Get 10% off the COLDCARD with code BITCOINAUDIBLE ⁠⁠⁠⁠⁠⁠(Link: bitcoinaudible.com/coldcard⁠⁠⁠⁠⁠⁠) Swan: The best way to buy, learn, and earn #Bitcoin (Link: https://swanbitcoin.com) "The reason why it is so difficult for existing firms to capitalize on disruptive innovations is that their processes and their business model that make them good at the existing business actually make them bad at competing for the disruption." ~ Clayton M Christenson

In this episode, we discuss the need to always challenge assumptions, Jason Fried's thoughts on SaaS, Personal AI agents, The UK's 4-day work week, Microsoft's unbundling of Teams and Office, Mitch Spano's blog post on selective unit testing, Shopify poaching salesforce folks, the possibility of Apple getting into robots, Johnny Ive and Sam Altman cooking up a “personal AI device”, and the ever-aging Gmail.

FULL SHOW NOTES https://podcast.nz365guy.com/541 Imagine your daily grind transformed by artificial intelligence—think bespoke walking tours and streamlined business operations. That's what we're unpacking, along with our esteemed guests, Andrew and Anna, as we delve into the burgeoning AI landscape of 2024. We're peeling back the layers on how businesses are tossing aside hesitation and jumping headfirst into the world of AI, with Cloud Lighthouse leading the charge in guiding leaders from mere IT management to becoming strategic visionaries. And for a personal touch, you won't want to miss the tale of my unforgettable day in Melbourne, all thanks to an AI assistant that knew just what I needed.But it's not all smooth sailing on the digital sea; we navigate through the choppy waters of copyright controversy, pondering if tech giants owe a hat tip—or more—to the original creators whose content trains their AI. This episode isn't just about embracing the future; it's a critical look at the present, discussing how technologies like Microsoft's Co-Pilot push the boundaries of citation practices and user engagement. Join us as we explore the intricate dance of math, ethics, and law that make up the ever-evolving AI domain, ensuring you're informed and ready for what's on the horizon.AgileXRM AgileXRm - The integrated BPM for Microsoft Power Platform 90 Day Mentoring Challenge April 1st 2024https://ako.nz365guy.comUse the code PODCAST at checkout for a 10% discount Support the showIf you want to get in touch with me, you can message me here on Linkedin.Thanks for listening

Plus President Joe Biden talks AI at the State of the Union. ABOUT THE AI BREAKDOWN The AI Breakdown helps you understand the most important news and discussions in AI.  Subscribe to The AI Breakdown newsletter: https://theaibreakdown.beehiiv.com/subscribe Subscribe to The AI Breakdown on YouTube: https://www.youtube.com/@TheAIBreakdown Join the community: bit.ly/aibreakdown Learn more: http://breakdown.network/

On-device AI is coming to all of our devices. But, do we need it? From the potential benefits of increased productivity and seamless integration with our devices to concerns about privacy, resource consumption, and the lack of a "kill switch," we explore the untold side of on-device AI that no one's talking about. Join us as we uncover the hidden truths of this technological trend, discuss the impact on companies like Microsoft and Apple, and anticipate the release of llama 2 and its intriguing offline integration. Stay with us to be in the know about generative AI, and its far-reaching implications in our everyday lives.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode page Join the discussion: Ask Jordan and Nancy questions on GPTsUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps: 00:00 Welcome to the show! 03:12 Daily AI News06:54 Trend towards bringing generative AI to devices.10:50 Speculation on Apple's offline/on-device AI plans.13:59 Personal AI reduces latency, making tasks instant.16:25 On-device AI enhances productivity, seamless integration.20:28 GPT-3 technology requires significant resources and testing.24:20 On-device AI downsides include lack of control.27:06 Speech describes potential impact of AI technology.32:36 Reduced cloud prompting by 90% using on-device AI.33:31 Enjoyed learning about on device AI, share ideas.Topics Covered in This Episode: 1. Concerns about implications of on-device AI2. Anticipation around llama 2 release3. Speculations on Apple's generative AI project4. Benefits and drawbacks of on-device AI 5. Integration of large language models with smart assistants6. New AI-powered hardware devices7. Challenges and drawbacks of on-device AI8. Purpose of podcast and recent AI newsKeywords: On-device AI, Kill switch, User consent, Opt-out option, Accessibility, Environmental impact, AI programs, AI technologies, Microsoft, NVIDIA, Qualcomm, Meta, Apple, Llama 2, Offline integration, Market adoption rates, Generative AI, Cloud-based AI, Large language models, Smart assistants, Alexa, Google Home, Rabbit r one, Meta Ray Ban glasses, Resource consumption, Battery life, Skynet factor, Podcast, Livestream, ChatGPT, Typeface.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/

IN THIS EPISODE, YOU'LL LEARN: Why is Jeff training an AI agent to personify himself? How could such an agent potentially be used in the future? What does this mean for overall productivity for people that have the means to train such an agent? What other things might happen as a result of this AI growth? What is the difference between the way Jeff is training his AI versus the way Preston is training his? What method will win in the long-haul for training AI agents? Is there concern people should have with providing the data for these agents? How does Bitcoin enter into this equation? Why are Jeff and Preston so interesting in the FinCEN proposal that was recently released for comment? Disclaimer: Slight discrepancies in the timestamps may occur due to podcast platform differences. BOOKS AND RESOURCES Jeff's VC Firm Ego Death Capital. Jeff Booth's Twitter. Jeff's book, The Price of Tomorrow. NEW TO THE SHOW? Check out our We Study Billionaires Starter Packs. Browse through all our episodes (complete with transcripts) here. Try our tool for picking stock winners and managing our portfolios: TIP Finance Tool. Enjoy exclusive perks from our favorite Apps and Services. Stay up-to-date on financial markets and investing strategies through our daily newsletter, We Study Markets. Learn how to better start, manage, and grow your business with the best business podcasts.  SPONSORS Support our free podcast by supporting our sponsors: River Efani Babbel AlphaSense Vanta American Express Business Gold Card Alto Salesforce NetSuite Ka'Chava Wise Toyota Shopify

IN THIS EPISODE, YOU'LL LEARN:00:00 - Why is Jeff training an Ai agent to personify himself?How could such an agent potentially be used in the futureWhat does this mean for overall productivity for people that have the means to train such an agentWhat other things might happen as a result of this Ai growthWhat is the difference between the way Jeff is training his Ai versus the way Preston is training hisWhat method will win in the long-haul for training ai agentsIs there concern people should have with providing the data for providing these agentsHow does Bitcoin enter into this equationWhy are Jeff and Preston so interesting in the FinCEN proposal that was recently released for commentDisclaimer: Slight discrepancies in the timestamps may occur due to podcast platform differences.BOOKS AND RESOURCESJeff's VC Firm Ego Death CapitalJeff Booth's TwitterJeff's book, The Price of TomorrowNEW TO THE SHOW?Join the exclusive TIP Mastermind Community to engage in meaningful stock investing discussions with Stig, Clay, and the other community members.Check out our We Study Billionaires Starter Packs.Browse through all our episodes (complete with transcripts) here.Try our tool for picking stock winners and managing our portfolios: TIP Finance Tool.Enjoy exclusive perks from our favorite Apps and Services.Stay up-to-date on financial markets and investing strategies through our daily newsletter, We Study Markets.Learn how to better start, manage, and grow your business with the best business podcasts. Help us understand our audience better so we can create a more intentional user experience by answering this survey!SPONSORSGet $5 in Bitcoin when you invest $100 with River.Beat FOMO and move faster than the market with AlphaSense.Send, spend, and receive money around the world easily with Wise.Give customers experiences they've only dreamed of with Salesforce's Einstein AI.Earn more where your business spends the most with American Express Business Gold Card!Experience real language learning for real conversations with Babbel and get 55% off.Choose Toyota for your next vehicle – SUVs that now have more advanced technology than ever before.Feed your body the nutrients it craves with Ka'Chava. Get 10% off on your first order today!Get a FREE 5-ounce solid silver America The Beautiful bullion coin with any qualifying Noble Gold Investments precious metals IRA .Be in control of every sales channel with Shopify. Sign up for a $1/mo, trial period today.Get a customized solution for all of your KPIs. Download NetSuite's FREE popular KPI Checklist.Make it easier to do your most meaningful work with Notion AI.Earn a yield on gold, paid in gold with Monetary Metals.Optimize your retirement strategy. Start investing in alts with Alto today.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

As we round out this enlightening three-part series with Brian Roemmele, we venture into the exciting future of AI. How can companies harness the transformative power of AI without jeopardizing jobs? We discuss the revolutionary concept of the "Personal AI" company, an innovative vision where a human's wisdom, personality, and essence can be synthesized through voice modeling, based on answers to a 1000-prompt questionnaire. Imagine a future where your knowledge, experiences, and insights could be immortalized, accessible to generations to come. Brian's groundbreaking perspective offers a glimpse into a future where technology and humanity converge in profound and lasting ways.----------What to write and publish a book in 30 days? Go toJamesAltucherShow.com/writingto join James' writing intensive!What do YOU think of the show? Head to JamesAltucherShow.com/listeners and fill out a short survey that will help us better tailor the podcast to our audience!Are you interested in getting direct answers from James about your question on a podcast? Go to JamesAltucherShow.com/AskAltucher and send in your questions to be answered on the air!------------Visit Notepd.com to read our idea lists & sign up to create your own!My new book Skip the Line is out! Make sure you get a copy wherever books are sold!Join the You Should Run for President 2.0 Facebook Group, where we discuss why you should run for President.I write about all my podcasts! Check out the full post and learn what I learned at jamesaltucher.com/podcast.------------Thank you so much for listening! If you like this episode, please rate, review, and subscribe  to “The James Altucher Show” wherever you get your podcasts: Apple PodcastsStitcheriHeart RadioSpotifyFollow me on Social Media:YouTubeTwitterFacebook

As we round out this enlightening three-part series with Brian Roemmele, we venture into the exciting future of AI. How can companies harness the transformative power of AI without jeopardizing jobs? We discuss the revolutionary concept of the "Personal AI" company, an innovative vision where a human's wisdom, personality, and essence can be synthesized through voice modeling, based on answers to a 1000-prompt questionnaire. Imagine a future where your knowledge, experiences, and insights could be immortalized, accessible to generations to come. Brian's groundbreaking perspective offers a glimpse into a future where technology and humanity converge in profound and lasting ways.----------What to write and publish a book in 30 days? Go toJamesAltucherShow.com/writingto join James' writing intensive!What do YOU think of the show? Head to JamesAltucherShow.com/listeners and fill out a short survey that will help us better tailor the podcast to our audience!Are you interested in getting direct answers from James about your question on a podcast? Go to JamesAltucherShow.com/AskAltucher and send in your questions to be answered on the air!------------Visit Notepd.com to read our idea lists & sign up to create your own!My new book Skip the Line is out! Make sure you get a copy wherever books are sold!Join the You Should Run for President 2.0 Facebook Group, where we discuss why you should run for President.I write about all my podcasts! Check out the full post and learn what I learned at jamesaltucher.com/podcast.------------Thank you so much for listening! If you like this episode, please rate, review, and subscribe  to "The James Altucher Show" wherever you get your podcasts: Apple PodcastsStitcheriHeart RadioSpotifyFollow me on Social Media:YouTubeTwitterFacebook ------------What do YOU think of the show? Head to JamesAltucherShow.com/listeners and fill out a short survey that will help us better tailor the podcast to our audience!Are you interested in getting direct answers from James about your question on a podcast? Go to JamesAltucherShow.com/AskAltucher and send in your questions to be answered on the air!------------Visit Notepd.com to read our idea lists & sign up to create your own!My new book, Skip the Line, is out! Make sure you get a copy wherever books are sold!Join the You Should Run for President 2.0 Facebook Group, where we discuss why you should run for President.I write about all my podcasts! Check out the full post and learn what I learned at jamesaltuchershow.com------------Thank you so much for listening! If you like this episode, please rate, review, and subscribe to "The James Altucher Show" wherever you get your podcasts: Apple PodcastsiHeart RadioSpotifyFollow me on social media:YouTubeTwitterFacebookLinkedIn