Upside: What You Need to Know About the Popular App

Life Hacking Tech Brief By HackerNoon

#News #Tech News #HackerNoon #Podcasting Education #Self-Improvement #Life Hacks #Hacking Life #Tech Brief #Productivity #Hacking #After Life

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 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…

大约1年之前 7:55

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This story was originally published on HackerNoon at: https://hackernoon.com/upside-what-you-need-to-know-about-the-popular-app.
With gas prices skyrocketing, the search for savings has become increasingly urgent.
Check more stories related to life-hacking at: https://hackernoon.com/c/life-hacking. You can also check exclusive content about #upside, #gas, #gas-price, #apps, #themarkup, #savings, #mobile-app, #how-does-upside-work, and more.
This story was written by: @TheMarkup. Learn more about this writer by checking @TheMarkup's about page, and for more stories, please visit hackernoon.com.
Upside was founded in 2015 as a pilot in Washington, D.C., by two former Google employees. The app uses user data and machine learning to calculate what amounts to a personalized gas price for each customer instead of offering the same rewards for the same spending. Uber and Lyft added the technology to the apps their drivers use, in a move that would help compensate for lost earnings due to the high price of gas. More than 30,000 businesses promote deals through the Upside app.

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Upside: What You Need to Know About the Popular App

Life Hacking Tech Brief By HackerNoon

published 大约1年之前

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103集单集

#News #Tech News #HackerNoon #Podcasting Education #Self-Improvement #Life Hacks #Hacking Life #Tech Brief #Productivity #Hacking #After Life

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