DevStarter podcast

#Tecnologia #Megan da Vulpi

1:14:43

Artificial intelligence is evolving at an unprecedented pace—what does that mean for the future of technology, venture capital, business, and even our understanding of ourselves? Award-winning journalist and writer Anil Ananthaswamy joins us for our latest episode to discuss his latest book Why Machines Learn: The Elegant Math Behind Modern AI . Anil helps us explore the journey and many breakthroughs that have propelled machine learning from simple perceptrons to the sophisticated algorithms shaping today’s AI revolution, powering GPT and other models. The discussion aims to demystify some of the underlying math that powers modern machine learning to help everyone grasp this technology impacting our lives, even if your last math class was in high school. Anil walks us through the power of scaling laws, the shift from training to inference optimization, and the debate among AI’s pioneers about the road to AGI—should we be concerned, or are we still missing key pieces of the puzzle? The conversation also delves into AI’s philosophical implications—could understanding how machines learn help us better understand ourselves? And what challenges remain before AI systems can truly operate with agency? If you enjoy this episode, please subscribe and leave us a review on your favorite podcast platform. Sign up for our newsletter at techsurgepodcast.com for exclusive insights and updates on upcoming TechSurge Live Summits. Links: Read Why Machines Learn, Anil’s latest book on the math behind AI https://www.amazon.com/Why-Machines-Learn-Elegant-Behind/dp/0593185749 Learn more about Anil Ananthaswamy’s work and writing https://anilananthaswamy.com/ Watch Anil Ananthaswamy’s TED Talk on AI and intelligence https://www.ted.com/speakers/anil_ananthaswamy Discover the MIT Knight Science Journalism Fellowship that shaped Anil’s AI research https://ksj.mit.edu/ Understand the Perceptron, the foundation of neural networks https://en.wikipedia.org/wiki/Perceptron Read about the Perceptron Convergence Theorem and its significance https://www.nature.com/articles/323533a0…

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A nossa proposta é ser um podcast criado e nutrido por desenvolvedores. Podcast para os interessados em compartilhar suas experiências profissionais na área de software. Todos os níveis de competências são bem-vindos.

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updated 6 years ago

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#Tecnologia #Megan da Vulpi

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DevStarter

1
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6 years ago38:58

38:58

Uma conversa sobre tipos de contratação, tipos de profissionais e mercado de TI

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PODCAST DEVSTARTER #04 - PROGRAMAÇÃO DEPOIS DOS 30 25:06

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25:06

Conversamos com Anderson Assis, que vai contar um pouco da sua experiência ao entrar no mundo do desenvolvimento após os 30 anos. Depois de ter feito uma carreira sólida no design, Anderson iniciou estudos pesados em desenvolvimento e agora programa em aplicações de blockchain(!). E se você achava que o mercado de desenvolvimento não tinha viés com idade... Precisa ler ou ouvir as experiências que o Anderson passou.…

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24:02

Neste podcast, Fellipe Couto conversa com Bruno Carneiro, CTO da Zapt Tech, sobre o que avaliar em candidatos no momento de entrevistas e dicas em geral de como se dar bem em entrevistas de emprego. Ouça acima o nosso quarto DevStarter Cast.

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