The Gradient Proof podcast features a conversation between Roy Peer and Steven W Sorensen about the potential impact of AI on various aspects of life. They discuss Max Tegmark's book "Life 3.0: Being Human in the Age of Artificial Intelligence," which breaks down the evolution of life into three categories. The podcast hosts speculate on the potential impact of AI on the entertainment industry, including the possibility of wiping out the current industry of celebrities and actors. They also discuss the potential for AI-generated content to be misused for advertising or political purposes. The speakers explore the potential ethical questions that may arise as AI systems become more advanced, including the use of personal AI systems after an individual's death. They also discuss the possibility of AI taking on the resemblance of someone important to an individual, such as a wise grandparent, to provide guidance in certain situations. The podcast also discusses the potential applications of AI in various fields, including creating chatbots that emulate the voices and thought processes of historical figures and optimizing computational resources in gaming. Overall, the podcast provides an interesting discussion on the potential future of AI and its impact on human life.

In this Episode:
[01:15] General Evolution of Life
[04:22] Maslow's Hierarchy of Needs on Technology
[09:33] Past, Present, And Future of Tech
[15:24] Future Entertainment And Content Generation
[19:23] Manipulation of Information
[23:18] The Power of AI
[27:32] The Collision Between Personal Action and Actual Data
[31:16] AI’s Interaction on Human’s Course of Life
[36:02] Correlation of AI and Gaming

Bios
Roy Peer is an architect turned entrepreneur. After working for award-winning architects, Diller Scofidio + Renfro in New York City, he started a virtual reality company, which later sold to a notable Hollywood director in 2018. Peer is the founder of PeerBasics, a data-driven products company that analyzes e-commerce sales data to drive product launch decisions in multiple categories with multiple factory partners in Asia. Peer is the author of Simulation Arcade, a sci-fi novel that paints a possible future world where AI and brain chips are commonplace and details how humanity meets its AI cocoon moment and how to stop it.

Steven W Sorensen is the director of corporate finance at droppGroup / droppLabs, an AI / ML web3 video & mixed reality shopatainment marketplace, co-founder of Fotin Media, and a board director of RocketStar, a small satellite launch company. Steven calls NYC home, has lived in China for seven years and has an MA and M.Phil in English from The University of Hong Kong. He likes jazz, piano, and good whiskey.

Quotes:

General Evolution of Life
[01:15]
What Max does is set the book up looking at the evolution of life more generally. He does that by looking at how life has evolved over our planet and the universe. And for him, he breaks it into these different categories: Life 1.0, 2.0, and 3.0.

Maslow's Hierarchy of Needs on Technology
[04:22]
When I first think about these ideas of the stages of life, it lends themselves to Maslow's hierarchy of needs. The lowest level, life 1.0, it's simple and biological, it's how you create a way to survive in the environment that you're placed in. And on a human level, you could say once you've built the log house that protects the wolves and the bears from getting in, how do you think about decorating that log house, making it work, and also, maybe not decorating, but thinking about life now that you don't have to think about avoiding the exterior elements and environment. The technology also adapts from this kind of lower-level shelter and eventually works its way up to self-actualization.
Past, Present, And Future of Tech

[09:33]
What's interesting is, how do we look at the stage of let's say, going back to 2007, when the iPhone initially came out, and the developments it made forward as far as information processing, being able to access information, capture information, play and manipulate that within the palm of your hand. So, if we're looking today, and this is 2007, of this chat GPT, and all these other different features that are currently separated, where does this end up 10, 20, 30 years, and adversely 200 years from now? When these things are so integrated into the current systems, you can see it going leaps and bounds.

Future Entertainment and Content Generation
[15:24]
In the future, I could see that everyone's Netflix is unique, not unique in the selection, but in the actual types of content you're watching. In this particular day, you've had a tough day, you want something uplifting, and you don't even have to let whatever this feature Netflix is. It would automatically generate that based on your day's input. Let’s say fast forward, you've got some brain interface that already knows that. So, you sit down and you want to watch something, you're actually watching exactly what you want to watch, not something recommended.

Manipulation of Information
[19:23]
As far as control manipulation of information, when you have a new source or channel that creates a certain type of content, let's say it's being produced towards a target audience. And there isn't the personal manipulation to drive them to think or do certain things because that information is more of a broad outbound kind of distribution or broadcast. But when it becomes more specified, you could have people living in completely different realities that take up the same space and potentially exist in the same area and just view the world differently.

The Power of AI
[23:18]
The difference between GPT and this PLM approach is that it's designed to structure a language model around a facsimile of you and your interests where you can continue to upload everything such as your resume, LinkedIn profile, or your Twitter. But after a week of uploading information, PLM became more sophisticated in its ability to answer.

The Collision Between Personal Action and Actual Data
[27:32]
There's also this kind of collision between personal action and actual data. So, you may get that SWOT analysis, and your biggest threat is that you go out on weekends, and X, Y, and Z do this or that type of habit. If you want to get wherever your goal is, and I'm guessing that SWOT analysis, or whatever it might be, may be targeted to some goal. Everyone is going to have different expectations. It's not only themselves but also their future self.

AI’s Interaction on Human’s Course of Life
[31:16]
How do AI systems interact with us throughout our life as they become more advanced? What does that look like? Including how does a personal AI system continue to exist? If it exists after the end of life of an individual, meaning that, whether it be a family member, a close friend, or, a spouse or significant other, they pass away, but yet you have a very large input model of who they are and how they've been that is continually, potentially referenceable and addressable and maybe even evolvable.

Correlation of AI and Gaming
[36:02]
You started developing that game; you'd have a connection to characters throughout time, and there would be games that were more difficult or easier to achieve. And I think you would eventually end up with another version of life itself.

Mentions:
Life 3.0: Being Human in the Age of Artificial Intelligence
https://www.amazon.com/Life-3-0-Being-Artificial-Intelligence/dp/1101946598

Referenced sites: OpenAI https://open.ai/ ChatGPT https://chat.openai.com/
Keywords: #ArtificialIntelligence #Technology #Entertainment #Games #EvolutionOfLife #ChatGPT #PLM

Whiskey: Monkey Shoulder Batch 27 https://www.monkeyshoulder.com/en-us

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Other Projects:
Buy Simulation Arcade in Paperback
https://www.amazon.com/dp/B09QF3YPV4
Simulation Arcade Pre-Release NFT (comes with author-signed copy)
https://opensea.io/collection/author-release
RocketStar - Aerospike Engines & Small Satellite Launch Co.
https://rocketstar.nyc/
Fotin Media https://fotinmedia.com/
droppLabs.io https://dropplabs.io/