Talent Tales: Ethiopia's Quiet Tech Rise vs Nigeria's Developer Gold Rush (2018)

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Understanding the Elegant Math Behind Modern Machine Learning 1:14:43

約 12 日前1:14:43

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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 mathematical concepts that power 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…

約 1 年前 27:26

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As we wind down 2024, we're diving into our archives to serve up some memorable throwback conversations. Whether you're a long-time listener revisiting these gems or discovering them for the first time, these conversations capture pivotal moments in Africa's tech journey. In today's episode, we're rewinding to 2018... Episode overview: Join us as we eavesdrop on a fascinating corridor conversation from Afrobytes Tech Marketplace in Paris featuring Amadou Daffe, who has since transformed Gebeya from an Ethiopian tech talent marketplace into a pan-African hybrid organisation connecting African developers with global opportunities, and Adewale Yusuf, who went from leading the tech media platform Techpoint to founding AltSchool Africa, which is now expanding online tech education from Africa into Europe. What makes this chat particularly relevant today is how it foreshadowed Ethiopia's emergence as a tech talent powerhouse and Nigeria's developer compensation dynamics. Critical insights: 1. The "Andela Effect" on developer salaries in Nigeria and its impact on local startups 2. Ethiopia's unique developer culture characterised by quiet confidence and humility 3. The stark contrast between Ethiopian and Nigerian developer mindsets 4. An unexpected revelation about Paga's Ethiopian development roots Standout moments: - Daffe reveals why he chose Ethiopia over Nigeria and Kenya for his tech venture - A surprising disclosure about Ethiopian developers' role in programming Sophia the robot - The parallel drawn between Nigeria's music industry success and its tech ecosystem Market intelligence (circa 2018): - Ethiopia: 43 universities offering computer science degrees Nigeria: Developer salaries reaching $50,000, pricing out local startups - Ethiopian developers' competitive advantage: Similar quality at $10,000/year Looking back, looking forward: As we revisit this conversation in 2024, it's fascinating to see how many of these observations played out. Has Ethiopia realised its potential as a tech hub? Have Nigeria's developer salary dynamics stabilised? We're curious... - Did this episode resonate with your current experience in either market? - Should we get Daffe and Yusuf back on the show to discuss how things have evolved for them as founders? - Are you a developer from either country? We'd love to hear your perspective!

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African Tech Roundup