Category Archives: technology

Growing Up With the Internet as a Millennial vs Gen-Z

I recently listened to a podcast with Zoomers talking about their experience of growing up with the internet as they came of age. It made me realize how different things were for my generation, the Millennials. Your “coming of age” years are when you transition from childhood into adulthood, roughly from middle school through high school and college. Those years are enormously influential on your development, as the core experiences during that period influence the type of person you will ultimately become for the rest of your life. I came of age during the 1990s and early 2000s, whereas Gen-Z came of age in the 2010s and early 2020s. The year 2005 does not seem that long ago, but in many ways the world then is unrecognizable to the world young people face today—at least online.

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Are We in an AI Bubble?

It seems fairly obvious at this point that AI is going to have a massive impact on the future. I wrote about this seven years ago, and it has only become more evident since then.1 However, financial “experts” are saying the stock market is in the midst of an AI bubble akin to the dot-com bubble of the early 2000s. They think AI companies are overvalued and advise selling off your AI investments. But the lesson from the dot-com bubble was not to NOT invest in internet companies. It was quite the opposite.

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90s AIM vs Current Social Media

In the late 1990s, AOL instant messenger (AIM) was the first social network I used, and it is still my favorite form of social media. What was different about AIM is that it was more social, whereas modern social media is more parasocial.

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The Bright Side of Deepfakes

AI is continually getting better at creating “deepfakes” of real people. A deepfake is an AI-generated image or video that depicts real people saying and doing things they did not actually do. Such deepfakes have fooled viewers into believing the scenes depicted to be real. Many are understandably alarmed about these developments in AI and fear the implications for the future—the political chaos and societal upheaval deepfakes may cause. While such negative outcomes are a worrisome threat, there is an upside to deepfakes as well.

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Human Creativity Beats AI in the Future

In the future, only creative people will survive. There will be no jobs. Even art could be better done by robots and AI. But humans can still be creative. And they can find purpose in creating art or music or businesses or hobbies. Anyone who is not creative will essentially be a human robot (but a less productive version of the actual robots).

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When AI Creates “Perfect” Art for You

In the future, it may be possible for AI to create art (including books, movies, music, and videogames) that is so perfectly attuned to an individual’s preferences, perhaps even directly using brain scans to determine the precise ingredients that will give the person the ultimate entertainment experience (like from David Foster Wallace’s Infinite Jest), whatever that may be for the particular individual. This AI would essentially create better art than humans—not that it would be objectively better than anything created by humans, but it would be subjectively better to that one particular human for whom the artwork is specifically created for. And AI could conceivably do this for every single human in the world: create unique works of art tailored to be the best work of art for that individual (whatever the criteria for “best” is for them). How could human artists compete with that?

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Blake Crouch’s Upgrade and the Recursion of Pandora’s Box

I have a love/hate relationship with Blake Crouch’s books. He has fantastic premises about cutting-edge science and writes fast-paced thrillers that keep you eagerly turning the pages to the end. Crouch has been compared to Michael Crichton, in that they both write grounded techno-thrillers about plausible future technology with high-concept books that are ripe for adaptation to the screen (TV and movies). But despite me loving the premises of Crouch’s two previous books, Upgrade and Recursion, ultimately I didn’t like the books as a whole—or more precisely I was let down by their endings.

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AI Cannot Speak For the Dead

One of the potential applications of AI text generators such as ChatGPT is creating a chatbot based on people who have died so that users can speak to those “people” after they are gone. This could be done with famous figures from history or personal loved ones. Such “grief tech,” as it is called, is already being created: HereAfter, You Only Virtual, Character.ai, and MindBank are just a few examples. There are currently apps where living users answer questions now to help create an AI chatbot clone of themselves that others can speak to after they die.

Theoretically, if a person has enough textual data to input into the model (from books, journals, social media posts, emails, and text messages), then the AI trained on that data can anticipate what that person is likely to say given any prompt (which is essentially how all LLMs work). The chatbot will learn to write in the style of the deceased person based on their personal data. Using continually updated data from the internet, the “deadbot” can comment on current events, making it seem as though the person is still alive. Users can learn what the deceased person would think about things that have happened in the world since they passed away. Or they can ask the chatbot all the questions they wish they had asked while the person was still alive. At least that is what the chatbot’s creators will claim their AI can do. But this is a false hope, a facade. AI cannot predict what a deceased human being would think or say years or decades later. You cannot create an accurate chatbot based on the data of the dead.

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How Myths Shape Culture

Every society is built on myths. Myths are stories and legends about the history of that society. Those myths shape the culture in the present. Societal elites and nobles with money and power propagate myths that they want the culture to adopt. The elites create (or fund the creation of) stories to mythologize themselves to maintain and increase their wealth and power in the future.

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Newsflash: The News Was Always Fake

Many people today think America is more polarized than ever due to social media and the proliferation of fake news on the internet. But the country was just as polarized (if not more so) in the 1770s and 1860s when there were major wars fought between fellow citizens on American soil. Those were times before television and radio, when newspapers were the only form of media. The early American era was more akin to the present, with rival sources from each side of the political spectrum giving biased news to their bases. The difference then was political conflicts were more localized. Each town had multiple competing local newspapers, so political attention was more regional, as opposed to a national bipolar culture war between two diametrically opposed tribes. The advent of decentralized mass media on the internet allowed that. 

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