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  • TRANSIÇÃO ENERGÉTICA: Soluções Inovadoras

    17/11/2022

    1

    TRANSIÇÃO ENERGÉTICA: Soluções Inovadoras

    O que significa transição energética? Onde começa e onde acaba? Até quando estaremos reféns dos combustíveis fósseis? O que ajuda a acelerar a mudança? Neste episódio trazemos a estúdio o Luís Monteiro, da Bosch, e o Bruno Henrique Santos, da REN, com quem vamos falar sobre as oportunidades e os desafios da transição energética, passando pelas inovações que tornam as casas, a mobilidade e a indústria mais eficientes e sustentáveis. Tudo o que precisas de saber sobre o desafio mais importante deste século! Ouve já, muda o teu presente e prepara o teu futuro!

    17/11/2022

    •
    27 min
  • #492 – Rick Beato: Greatest Guitarists of All Time, History & Future of Music

    1 MAR

    2

    #492 – Rick Beato: Greatest Guitarists of All Time, History & Future of Music

    Rick Beato is a music educator, interviewer, producer, songwriter, and a true multi-instrument musician, playing guitar, bass, cello & piano. His incredible YouTube channel celebrates great musicians & musical ideas, and helps millions of people fall in love with great music all over again. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep492-sc See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. Transcript: https://lexfridman.com/rick-beato-transcript CONTACT LEX: Feedback – give feedback to Lex: https://lexfridman.com/survey AMA – submit questions, videos or call-in: https://lexfridman.com/ama Hiring – join our team: https://lexfridman.com/hiring Other – other ways to get in touch: https://lexfridman.com/contact EPISODE LINKS: Rick’s YouTube: https://youtube.com/RickBeato Rick’s X: https://x.com/rickbeato Rick’s Instagram: https://instagram.com/rickbeato1 Rick’s Website: https://rickbeato.com Rick’s Ear Training: https://beatoeartraining.com The Beato Book: https://beatobook.com SPONSORS: To support this podcast, check out our sponsors & get discounts: UPLIFT Desk: Standing desks and office ergonomics. Go to https://upliftdesk.com/lex BetterHelp: Online therapy and counseling. Go to https://betterhelp.com/lex LMNT: Zero-sugar electrolyte drink mix. Go to https://drinkLMNT.com/lex Fin: AI agent for customer service. Go to https://fin.ai/lex Shopify: Sell stuff online. Go to https://shopify.com/lex Perplexity: AI-powered answer engine. Go to https://perplexity.ai/ OUTLINE: (00:00) – Introduction (00:28) – Sponsors, Comments, and Reflections (09:17) – Guitar solos (13:16) – Gypsy jazz and Django Reinhardt (14:48) – Bebop jazz (19:00) – Perfect pitch vs relative pitch (23:37) – Learning to play guitar (47:08) – Miles Davis (52:34) – Bass guitar (53:41) – Greatest guitar solos of all time (1:22:56) – 27 Club (1:27:37) – Elton John (1:30:51) – Metallica (1:35:21) – Tom Waits (1:41:12) – Greatest rock stars (1:44:35) – Beethoven (1:51:10) – Bach (1:54:01) – AI in music (2:07:52) – Sabrina Carpenter (2:11:23) – YouTube copyright strikes (2:16:59) – Spotify (2:27:51) – Guitars (2:32:13) – Advice PODCAST LINKS: – Podcast Website: https://lexfridman.com/podcast – Apple Podcasts: https://apple.co/2lwqZIr – Spotify: https://spoti.fi/2nEwCF8 – RSS: https://lexfridman.com/feed/podcast/ – Podcast Playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 – Clips Channel: https://www.youtube.com/lexclips

    1 Mar

    •
  • Artificial intimacy: The AI therapist that ended a marriage

    5 DAYS AGO

    3

    Artificial intimacy: The AI therapist that ended a marriage

    When Kirsty turned to a chatbot for help, she was feeling trapped and isolated. Something in her marriage wasn’t right - a constant feeling of tension that would sometimes erupt into arguments, even violence. When she asked ChatGPT for advice, it told her that her relationship with her husband might be abusive.  In the fourth episode of Tech Tonic: Artificial intimacy, FT tech reporter Cristina Criddle asks if chatbots that can mimic empathy and understanding are ready to replace human therapists. Can chatbots be good for our mental health? And what impact could this have on our human relationships?  Check out some of the FT’s reporting on this subject on FT.com: Mental health apps: the AI therapist cannot see you now Can ChatGPT help with a midlife crisis?  The problem with AI and ‘empathy’ Artificial Intimacy is presented by Cristina Criddle and produced by Persis Love and Edwin Lane. The executive producer is Flo Phillips. Sound design is by Breen Turner and Sam Giovinco. The FT’s global head of audio is Cheryl Brumley. The FT does not use generative AI to voice its podcasts. If you have been affected by the issues raised in this episode, you can reach out to a mental health helpline, such as the 988 Suicide and Crisis Lifeline in the US or Samaritans in the UK. Help for many other countries can also be found at Befrienders Worldwide. Read a transcript of this episode on FT.com Hosted on Acast. See acast.com/privacy for more information.

    5 days ago

    •
    31 min
  • Why Phil Spencer Retired, And What's Next For Xbox

    26 FEB

    4

    Why Phil Spencer Retired, And What's Next For Xbox

    Kirk, Maddy, and Jason dive into the year's biggest gaming news so far: Xbox boss Phil Spencer retiring. They talk about what led to this big shakeup, discuss whether new boss Asha Sharma really needs to be a gamer, and try to figure out if there's any way to salvage the Xbox brand. One More Thing: Kirk: A Knight of the Seven Kingdoms (HBO) Maddy: Icebreakers (New Yorker documentary) Jason: Under the Island  LINKS: "Inside Microsoft’s big Xbox leadership shake-up" (Tom Warren / The Verge) https://www.theverge.com/tech/883015/microsoft-xbox-new-ceo-shakeup-notepad 🚀  SUPPORT TRIPLE CLICK:Join Maximum Fun | Buy TC Merch 💬 JOIN THE TRIPLE CLICK DISCORD 🎮 Triple Click Ethics Policy 📱 SOCIALS | @tripleclickpodInstagram | YouTube | TikTok | Twitch

    26 Feb

    •
    1h 8m
  • Mewgenics Is Out, And It Only Took 14 Years (with Edmund McMillen)

    12 FEB

    5

    Mewgenics Is Out, And It Only Took 14 Years (with Edmund McMillen)

    Jason, Kirk, and Maddy bring on veteran game designer Edmund McMillen (Binding of Isaac, Super Meat Boy) to talk about his latest game, Mewgenics, which was first announced in 2012 (!) and is out this week. They talk about the long development cycle, why McMillen parted ways with his Team Meat partner Tommy Refenes, breeding cats, and much much more. One More Thing: Kirk: Cairn Maddy: Code 3 (2025) Jason: The Chair Company (HBO) 🚀  SUPPORT TRIPLE CLICK:Join Maximum Fun | Buy TC Merch 💬 JOIN THE TRIPLE CLICK DISCORD 🎮 Triple Click Ethics Policy 📱 SOCIALS | @tripleclickpodInstagram | YouTube | TikTok | Twitch

    12 Feb

    •
    1h 23m
  • AI Safety in Generative AI with Peter Norvig

    30/06/2023

    6

    AI Safety in Generative AI with Peter Norvig

    On this episode, we’re joined by Peter Norvig, a Distinguished Education Fellow at the Stanford Institute for Human-Centered AI and co-author of popular books on AI, including Artificial Intelligence: A Modern Approach and more recently, Data Science in Context. AI has the potential to improve humanity’s quality of life and day-to-day decisions. However, these advancements come with their own challenges that can cause harm. Listen to this episode to learn considerations and best practices organizations can take to preserve human control and ensure transparent and equitable AI.

    30/06/2023

    •
    40 min
  • IA e empregos. Onde as empresas estao errando

    19 FEB

    7

    IA e empregos. Onde as empresas estao errando

    Lideranças corporativas em todos os países já dizem que pretendem reduzir a contratação de profissionais em início de carreira por causa da IA e dos seus agentes. Mas essa decisão pode estar profundamente errada. Cortar cargos júnior por causa da IA pode custar muito caro no médio prazo. Quem vai pagar essa conta quando ela chegar? Para essa conversa, convidamos Emerson Pinha, CEO da AI Tour Links do episódio A página do LinkedIn de Emerson Pinha O site da AI Tour O artigo "The Problem in the Age of AI Isn’t Young Talent: It’s Leadership", de Emerson Pinha O livro "The Shallows: What the Internet Is Doing to Our Brains", de Nicholas Carr A série "Custe o que Custar", da Netflix, baseada em um livro de Harlan Coben O relatório "AI and the Future of Learning", publicado por Ben Gomes, Lila Ibrahim, Yossi Matias, Christopher Phillips e James Manyika, do Google O livro "Who's Afraid of Ai?: Fear and Promise in the Age of Thinking Machines", de Thomas Ramge     A The Shift é uma plataforma de conteúdo que descomplica os contextos da inovação disruptiva e da economia digital. Visite o site www.theshift.info e assine a newsletter

    19 Feb

    •
    1h 6m
  • MLG 009 Deep Learning

    SEASON 1, EPISODE 9

    8

    MLG 009 Deep Learning

    Try a walking desk to stay healthy while you study or work! Full notes at ocdevel.com/mlg/9  Key Concepts: Deep Learning vs. Shallow Learning: Machine learning is broken down hierarchically into AI, ML, and subfields like supervised/unsupervised learning. Deep learning is a specialized area within supervised learning distinct from shallow learning algorithms like linear regression. Neural Networks: Central to deep learning, artificial neural networks include models like multilayer perceptrons (MLPs), convolutional neural networks (CNNs), and recurrent neural networks (RNNs). Neural networks are composed of interconnected units or "neurons," which are mathematical representations inspired by biological neurons. Unique Features of Neural Networks: Feature Learning: Neural networks learn to combine input features optimally, enabling them to address complex non-linear problems where traditional algorithms fall short. Hierarchical Representation: Data can be processed hierarchically through multiple layers, breaking down inputs into simpler components that can be reassembled to solve complex tasks. Applications: Medical Cost Estimation: Neural networks can handle non-linear complexities such as feature interactions, e.g., age, smoking, obesity, impacting medical costs. Image Recognition: Neural networks leverage hierarchical data processing to discern patterns such as lines and edges, building up to recognizing complex structures like human faces. Computational Considerations: Cost of Deep Learning: Deep learning's computational requirements make it expensive and resource-intensive compared to shallow learning algorithms. It's cost-effective to use when necessary for complex tasks but not for simpler linear problems. Architectures & Optimization: Different Architectures for Different Tasks: Specialized neural networks like CNNs are suited for image tasks, RNNs for sequence data, and DQNs for planning. Neuron Types: Neurons in neural networks are referred to as activation functions (e.g., logistic sigmoid, relu) and differ based on tasks and architecture needs.

    S1, E9

    •
    51 min
  • CURL: Contrastive Unsupervised Representations for Reinforcement Learning

    02/05/2020

    9

    CURL: Contrastive Unsupervised Representations for Reinforcement Learning

    According to Yann Le Cun, the next big thing in machine learning is unsupervised learning. Self-supervision has changed the entire game in the last few years in deep learning, first transforming the language world with word2vec and BERT -- but now it's turning computer vision upside down.  This week Yannic, Connor and I spoke with one of the authors, Aravind Srinivas who recently co-led the hot-off-the-press CURL: Contrastive Unsupervised Representations for Reinforcement Learning alongside Michael (Misha) Laskin. CURL has had an incredible reception in the ML community in the last month or so. Remember the Deep Mind paper which solved the Atari games using the raw pixels? Aravind's approach uses contrastive unsupervised learning to featurise the pixels before applying RL. CURL is the first image-based algorithm to nearly match the sample-efficiency and performance of methods that use state-based features! This is a huge step forwards in being able to apply RL in the real world.  We explore RL and self-supervision for computer vision in detail and find out about how Aravind got into machine learning.  Original YouTube Video: https://youtu.be/1MprzvYNpY8 Paper: CURL: Contrastive Unsupervised Representations for Reinforcement Learning Aravind Srinivas, Michael Laskin, Pieter Abbeel https://arxiv.org/pdf/2004.04136.pdf Yannic's analysis video: https://www.youtube.com/watch?v=hg2Q_O5b9w4  #machinelearning #reinforcementlearning #curl #timscarfe #yannickilcher #connorshorten Music credit; https://soundcloud.com/errxrmusic/in-my-mind

    02/05/2020

    •
    1h 15m
  • #491 – OpenClaw: The Viral AI Agent that Broke the Internet – Peter Steinberger

    12 FEB

    10

    #491 – OpenClaw: The Viral AI Agent that Broke the Internet – Peter Steinberger

    Peter Steinberger is the creator of OpenClaw, an open-source AI agent framework that’s the fastest-growing project in GitHub history. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep491-sc See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. Transcript: https://lexfridman.com/peter-steinberger-transcript CONTACT LEX: Feedback – give feedback to Lex: https://lexfridman.com/survey AMA – submit questions, videos or call-in: https://lexfridman.com/ama Hiring – join our team: https://lexfridman.com/hiring Other – other ways to get in touch: https://lexfridman.com/contact EPISODE LINKS: Peter’s X: https://x.com/steipete Peter’s GitHub: https://github.com/steipete Peter’s Website: https://steipete.com Peter’s LinkedIn: https://www.linkedin.com/in/steipete OpenClaw Website: https://openclaw.ai OpenClaw GitHub: https://github.com/openclaw/openclaw OpenClaw Discord: https://discord.gg/openclaw SPONSORS: To support this podcast, check out our sponsors & get discounts: Perplexity: AI-powered answer engine. Go to https://perplexity.ai/ Quo: Phone system (calls, texts, contacts) for businesses. Go to https://quo.com/lex CodeRabbit: AI-powered code reviews. Go to https://coderabbit.ai/lex Fin: AI agent for customer service. Go to https://fin.ai/lex Blitzy: AI agent for large enterprise codebases. Go to https://blitzy.com/lex Shopify: Sell stuff online. Go to https://shopify.com/lex LMNT: Zero-sugar electrolyte drink mix. Go to https://drinkLMNT.com/lex OUTLINE: (00:00) – Introduction (03:51) – Sponsors, Comments, and Reflections (15:29) – OpenClaw origin story (18:48) – Mind-blowing moment (28:15) – Why OpenClaw went viral (32:12) – Self-modifying AI agent (36:57) – Name-change drama (54:07) – Moltbook saga (1:02:26) – OpenClaw security concerns (1:11:07) – How to code with AI agents (1:42:02) – Programming setup (1:48:45) – GPT Codex 5.3 vs Claude Opus 4.6 (1:57:52) – Best AI agent for programming (2:19:52) – Life story and career advice (2:23:49) – Money and happiness (2:27:41) – Acquisition offers from OpenAI and Meta (2:44:51) – How OpenClaw works (2:56:09) – AI slop (3:02:13) – AI agents will replace 80% of apps (3:10:50) – Will AI replace programmers? (3:22:50) – Future of OpenClaw community

    12 Feb

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