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  • Tina Huang

    Investing In 52 Minutes | Tina Huang

    Investing In 52 MinutesTina is a former data scientist at Meta.Her channel focuses on AI, coding, tech, career development, and self-study.Always striving to minimize effort while maximizing outcomes.In fact, she firmly avoids doing extra work to reach her goals - one of the many reasons she loves AI.Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go.Tina Huang on YouTube: https://www.youtube.com/@TinaHuang1Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. It was made by a viewer who values her insights and aims to make them more accessible for audio-first learners. This is not an official production of Tina Huang, and it is not affiliated with or endorsed by her. All rights to the original video content remain with Tina Huang. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch.------- ---------------Investing In 52 MinutesTina is a former data scientist at Meta.Her channel focuses on AI, coding, tech, career development, and self-study.Always striving to minimize effort while maximizing outcomes.In fact, she firmly avoids doing extra work to reach her goals - one of the many reasons she loves AI.Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go.Tina Huang on YouTube: https://www.youtube.com/@TinaHuang1Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. It was made by a viewer who values her insights and aims to make them more accessible for audio-first learners. This is not an official production of Tina Huang, and it is not affiliated with or endorsed by her. All rights to the original video content remain with Tina Huang. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch. ------ Keywords: chatbots, ai projects, ai trends Learn more about your ad choices. Visit megaphone.fm/adchoices

    Today · 1 hr 3 min
  • The Value Engine

    The $156K Mistake: Why This Coach Almost Went Broke Doing Everything

    Sarah was drowning in her own success. Her coaching business was pulling in six figures, but she was working 80-hour weeks and barely breaking even after expenses. Sound familiar? Most coaches think scaling means adding more services, more team members, more complexity. Sarah tried that approach and nearly went bankrupt spending $156,000 on tools and staff that didn't move the needle. Then she discovered something counterintuitive: the power of doing less, not more. Instead of offering everything to everyone, Sarah pivoted to one AI-powered service that most coaches overlook. She built custom automation systems for other service providers, helping them reclaim 15-20 hours per week while improving client results. The twist? Her clients gladly pay $800-1,200 monthly for something that takes her just 2-3 hours to set up. In This Episode: > The exact AI service Sarah offers (it's simpler than you think) > Why her 94% client retention rate proves this model works > The $156K in mistakes that led to her breakthrough > How she went from chaos to $13K monthly recurring revenue in 8 months > The three-step process she uses to onboard new automation clients Timestamps: 00:00 Sarah's $156K wake-up call 02:15 The pivot that changed everything 04:30 Breaking down her AI automation service 07:45 Client retention secrets and pricing strategy 09:20 Her simple three-step onboarding process 11:10 What's next for Sarah's business Sarah's story proves that sometimes the best way forward is to strip everything down to one thing you can do exceptionally well. Her AI automation service isn't revolutionary tech, it's just focused execution that delivers measurable value. If you're tired of chasing shiny objects and want proven strategies that actually generate ROI, hit follow on The Value Engine. Nico drops new episodes daily with real numbers from real businesses. More episodes available at The Value Engine ---------- Keywords: ai cost reduction, ai tools, make.com, automation strategies Learn more about your ad choices. Visit megaphone.fm/adchoices

    Today · 11 min
  • Open Weights

    How GPT4All Built Open Source AI: Data Quality vs Fancy Algorithms

    When one startup founder realized that fancy AI algorithms weren't the problem with modern AI systems, he discovered something way more unsettling: the data we're feeding these models is fundamentally broken. Quinn Palmer breaks down how Andriy Mulyar's journey with GPT4All exposed the dirty secret that's making AI hallucinate, and why fixing it might be impossible at scale. 🎯 What You'll Learn: • Why spurious correlations in training data cause more AI failures than bad algorithms • How medical AI applications demand 99.99% accuracy because one wrong answer kills patients • The surprising reason data quality now matters more than algorithmic sophistication • Why GPT4All's local-first approach might be our only defense against centralized AI control 👤 Perfect for: developers, creators, and anyone curious about what's really happening behind the AI hype without needing a computer science degree. 📍 Chapters: [00:00] Quinn Palmer introduces the GPT4All origin story [01:45] Why Andriy Mulyar started questioning mainstream AI development [03:30] The data quality crisis that's breaking modern AI systems [05:15] Medical AI's life-or-death accuracy requirements [07:00] How spurious correlations create dangerous AI hallucinations [09:30] GPT4All's radical bet on local AI without cloud dependence [11:15] What this means for the future of accessible AI 🔔 Never miss an episode: Follow Open Weights on Spotify or Apple Podcasts and turn on notifications. New episodes drop daily, your next AI breakthrough insight is one tap away. 🔍 Topics: AI, machine learning, GPT, data quality, neural networks, open source -------- Keywords: tech podcast, ai safety, generative ai, tech explained simply, coding ai, ai regulation Learn more about your ad choices. Visit megaphone.fm/adchoices

    Today · 18 min
  • Le centre de gravité

    Achats d’IA : pourquoi un projet sur cinq est recalé

    Les dépenses d’IA explosent dans les bilans, mais les comités d’achats n’ont jamais autant rejeté de dossiers. Entre l’hégémonie de trois fournisseurs stars et la traque au gaspillage, le procurement est devenu le vrai juge de paix de la tech. #business #meta-volatile #procurement #roi

    Today · 5 min

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