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#Tech #Tech News #Jeff Eaton #Podcasting

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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Cheeky conversations about content strategy, riveting tales of projects gone off-the-rails, and reflections on life in the trenches of digital publishing.

11 episodes

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updated 10 years ago

Series home•Feed

Cheeky conversations about content strategy, riveting tales of projects gone off-the-rails, and reflections on life in the trenches of digital publishing.

11 episodes

#Tech #Tech News #Jeff Eaton #Podcasting

All episodes

1
Noz Urbina Explains Adaptive Content

10 years ago

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Taking structured content to the next level requires careful planning — and respect for users.

1
Steve Fisher and the Design/Content conference

10 years ago

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The power of cross-functional teams, and the challenges of bootstrapping a conference

1
Hawk Thompson on Building a Strategy Team

10 years ago

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Building a company's practice means selling both colleagues and clients on the value of content strategy.

1
Misty Weaver and The Art of Content Audits

11 years ago

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Audits, inventories, and the fabulous world of content planning

1
Design and Structure with Jared Ponchot

12 years ago

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Jeff Eaton and Jared Ponchot discuss the parallels between design systems and content models, the challenges of responsive design, and the importance of content hierarchy for designers. Mentioned in this episode: * [Converge Southeast](http://convergese.com/) * [Artifact Conference](http://artifactconf.com/) * [DrupalCon Portland](http://portland2013.drupal.org/session/designing-purpose-design-process-deliverables-responsive-age)…

1
Daniel Jacobson on NPR's COPE and Content APIs

12 years ago

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Jeff Eaton and Daniel Jacobson discuss the history of NPR's COPE approach to content management, his work at Netflix, and the future of APIs for content-focused businesses. *(Now with extra bonus anecdote!)* Mentioned in this episode: - [Daniel Jacobson: 7 Ways to Improve Your API](http://www.danieljacobson.com/blog/231) - [NPR API Reference](http://www.npr.org/api) - [Create Once, Publish Everywhere](http://blog.programmableweb.com/2009/10/13/cope-create-once-publish-everywhere/) - [Netflix Tech Blog](http://techblog.netflix.com/)…

1
Marc Danziger and Andrew Berry on Reinventing the Knowledge Base with NBC

12 years ago

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Jeff Eaton, Marc Danziger, and Andrew Berry discuss NBC's Juno Project, a new take on the corporate knowledge base that combines sales and project management tools with long-term organizational history. Topics covered include workflow challenges, the importance of iterative prototyping when dealing with complex content, solving "findability" problems, and more.…

1
Karen McGrane on Content Strategy for Mobile

12 years ago

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Jeff Eaton and Karen McGrane discuss the rise of mobile; the challenges of transitioning to reusable content; and Karen's new book, Content Strategy for Mobile. Mentioned in this episode: Content Strategy for Mobile at A Book Apart Making the Most of Mobile from Web Content 2011 Uncle Sam Wants You to Optimize Your Content for Mobile…

1
Erin Kissane on Web Standards, Content Strategy, and the Future of Publishing

12 years ago

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Jeff Eaton and Erin Kissane discuss the past and future of web standards, new experiments in web publishing, and the challenge of predicting the future. Mentioned in this episode: A List Apart Contents Magazine The Source Project Neuromancer

1
Kristina Halvorson on the Past, Present, and Future of Content Strategy

12 years ago

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Jeff Eaton and Kristina Halvorson of Brain Traffic discuss content strategy trends, the art of stakeholder wrangling, and proper bourbon pairings for your content audit. Links mentioned in the show: Making The Most of Mobile The Confab Conference Bulleit Bourbon

1
What the Heck is Content Strategy?

12 years ago