Warning - Risks of Neighborhood Decline When Investing in Real Estate

Green Bay Real Estate Investing & Real Estate Financial Planning™ Podcast

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

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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…

약 1년 전 28:20

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Warning - Risks of Neighborhood Decline When Investing in Real Estate

Everything in life has risks. Not investing adds certain types of risks, while investing adds other risks.

One risk that some real estate investors face is the possibility that the neighborhood they're investing in will decline, causing values and/or rents to drop.

So, how do we prevent this, and what can we do about it if it happens to us?

In this mini-class addressing the dangers and risks of investing in real estate, James discusses the risk of a decline in the neighborhood you're investing in and what to do to mitigate the risk and address it should it happen.

In this class, James discusses:

A George S Patton quote about fear, risks and making decisions.
Neighborhoods declining in value, rents, overall quality and desirability
How to avoid investing in declining neighborhoods
Watching market conditions and early, leading indicators
Investing without ownership
Investing without long-term ownership
Investing for quality versus discount
Holding on through a decline (and likely eventual turn around)
Selling
Give the property back
Plus much more...

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