Investing Wisdom from Nassim Taleb, plus ChatGPT Questions That Will Change Your Life

No small boy stuff (0s)

• The phrase "no small boy stuff" originated from a tweet by Bengali 87 in 2022, describing a business/entrepreneurship podcast as "big money that is no small boy stuff." (24s)
• This phrase is often used to convey that something is serious and not trivial, similar to the phrase "you're not a very serious person" from the show Succession. (47s)
• The phrase has been adopted and is frequently used in thought, but not often spoken out loud due to its perceived awkwardness, similar to saying a slogan like "just do it." (1m6s)
• Using this phrase has had a meaningful impact on life's trajectory, helping to avoid small boy responses in various situations and instead opting for more serious and meaningful actions. (1m23s)
• A recent conversation with AMJ about what will make a better story has also had a significant impact, changing the way one thinks about situations and their outcomes. (1m35s)
• AMJ's approach to persisting in the face of challenges, even without recognition or funding, has been inspiring, and his ability to push through difficulties for an extended period has been identified as a competitive advantage. (2m5s)
• This approach of persistence and being in it for the long haul has been recognized as a valuable trait, allowing one to make progress and achieve goals even in the face of adversity. (2m16s)

Squid Game for investors (2m30s)

• Nassim Taleb, a successful hedge fund investor and author of "Black Swan" and "Antifragile", has a unique life philosophy that contributed to his success, which includes being willing to lose small amounts frequently and look stupid every day for years in order to make a big profit when his contrarian bet pays off (2m31s).
• Taleb tweeted that if an investor had access to the next day's news 24 hours in advance, they would likely go bust in less than a year, similar to the premise of the movie "Back to the Future" (3m50s).
• An experiment was conducted where 118 adults trained in finance were given $50 each and asked to place trades after being shown the front page of the Wall Street Journal from 15 random days in the last 20 years, but with the stock prices blacked out (5m1s).
• The participants had access to the news 24 hours in advance, but without knowing the stock prices, and were asked to place trades that would execute on the day before the news was published (5m36s).
• The experiment was designed to test whether having access to news in advance would guarantee success in trading, and the results suggested that it's not as easy as it seems to capitalize on advance knowledge (5m8s).
• The idea of having access to future knowledge and being able to capitalize on it is a common thought experiment, and many people think that if they knew what they know today but were 10 or 50 years ago, they would be able to make easy profits by investing in things like Bitcoin or Google (4m34s).
• However, the reality is that it's not that simple, and even with advance knowledge, it's difficult to make the right trades and avoid losing money (4m31s).
• A game was played where participants were given news headlines from 15 years ago and a million dollars to trade with, with the option to use up to 20x leverage, and the results showed that half the players lost money, and one out of every six players lost everything (5m49s).
• The game was designed to test how well people could make trades based on news headlines, with the trade executing and either going up or down that day, and the results were not good as expected (6m28s).
• The game allowed players to trade on the S&P 500 or the 30-year treasury, and they could go long or short on either, with the option to skip trading on any given day if they didn't feel confident (7m22s).
• An example headline from the game was a news article from the Wall Street Journal about Obama, Rupert Murdoch, and Chesapeake Energy, and players had to decide how to trade based on the news (7m38s).
• The game was played over 15 days, with a third of the days being fed quarterly meeting days, a third being jobs reports, and a third being completely random days, and the results showed that even with the benefit of hindsight, many players still lost money (8m39s).
• The game was designed to be a realistic simulation, with no cherry-picked or misleading days, and the results were surprising and insightful (8m58s).
• A list of 200 AI business ideas has been compiled, which includes concepts such as an AI dressing room that allows users to see how clothes or makeup would look on them using AI technology, and AI tools for real estate brokers to make listings more attractive to buyers (9m5s).
• A 15-day experiment was conducted where participants were given news and asked to make trades, resulting in half of the participants losing money, with one out of six losing everything due to over-leveraging, and the average person only gaining 3.2% (9m51s).
• The experiment showed that even with access to news, participants were only able to correctly predict the direction of the market 51% of the time, which is equivalent to flipping a coin (10m31s).
• The main reasons for poor performance were betting on the wrong direction and poor bet sizing, with participants not sizing up their bets enough when they were correct and sizing up their bets too much when they were incorrect (10m52s).
• A survey found that 70% of people believed that even four-week-old news would be predictive, but the experiment showed that even one-day-old news did not provide a significant advantage (11m12s).
• A follow-up experiment with five highly experienced traders, including a hedge fund manager and the head of trading at a top five bank, found that they performed significantly better, with all five finishing with gains and an average return of 130% (11m42s).
• The experienced traders were found to be only 6% more accurate in their predictions than the original participants, but they were more selective in their bets, choosing not to bet on one out of every three news items (12m18s).
• The key difference in the approach of the experienced traders was their ability to avoid over-trading and to size their bets more effectively (12m13s).
• A study showed that professional investors, despite not always interpreting information correctly, achieved significantly better results than a test group due to proper bet sizing and risk management, never risking too much of their bankroll to prevent unrecoverable losses (12m32s).
• The professionals' predictive ability was only 6-10% better than the test group, but this small edge led to a substantial difference in results, with the test group achieving a 3% average gain and the professionals achieving a 130% average gain (12m44s).
• The key takeaway is that small edges in predictive ability, combined with proper risk management, can make a huge difference in investment outcomes (12m58s).

Noise v. signal (13m0s)

• Nassim Taleb conjectured that if an investor were given the next day's news, they would likely go bust in less than a year due to overzealousness around a perceived edge that doesn't exist, and most people would perform worse than if they didn't have the news, which is no better than random, as mentioned in his book "Fooled by Randomness" (13m10s).
• A quote by Ray Dalio states, "He Who lives by the crystal ball will die eating shattered glass," highlighting the counterintuitive conclusion that knowing the future or news does not guarantee outperformance (13m39s).
• A hacking group gained access to a press release system, obtaining insider information on companies' major announcements, earnings results, and other news, which they used to place bets in the market, demonstrating the potential advantage of having early access to information (14m11s).
• Even a 12-second advantage in knowing news ahead of time could be a huge advantage in the market, allowing for quick decision-making and potential profits (15m0s).
• Companies have rules in place to prevent employees and others with access to sensitive information from trading on that information, such as frozen windows before announcements, to prevent leakage and ensure fair market practices (15m33s).
• Employees of PR newswires may also be subject to similar rules to prevent them from trading on insider information, highlighting the potential for leakage and the importance of maintaining confidentiality (15m43s).
• A story is shared about an individual who made a trade and was called to speak to the general counsel, but the general counsel was unimpressed and dismissed the individual, stating that the trade was insignificant compared to actual trades made by executives at the company (16m41s).
• The concept of thinking like a criminal mastermind is discussed, with the idea that people often think about how they would get away with a crime or how they would cheat in a situation (17m26s).
• A hypothetical scenario is presented where hackers gain access to press releases and must quickly make trades based on the information, with the challenge being to sift through a large amount of data to find relevant information (18m3s).
• The solution to this problem is to use a search function to identify the types of news that have the greatest impact on stock prices, such as merger announcements, which can cause significant volatility (18m41s).
• The importance of distinguishing between signal and noise in information is emphasized, with the idea that most news and information is noise, and the key is to identify what is actually relevant and impactful (19m10s).
• The hackers in the scenario were able to identify the signal, which was merger announcements, and were correct in their predictive ability about 70% of the time (19m26s).
• A strategy of doing something a certain percentage of the time was enough to make hundreds of millions of dollars quickly before getting caught and going to jail (19m30s).
• The sale of HubSpot led to a significant increase in its share price, from $350 to $460, in February 2021, resulting in a market cap increase of around one or two billion dollars (19m42s).
• The increase in share price was attributed to an acquisition mentioned in the earnings call, but it was noted that causation is difficult to prove, and the actual reason might be the company's 45% growth and compounding growth rate (20m10s).
• The conversation involved a discussion with Kip, the CMO, about the reasons behind the increase in share price (20m4s).
• Nassim Taleb's investing wisdom was mentioned, but the specific details of his wisdom were not discussed in this part of the conversation [no timestamp available].
• ChatGPT questions that can change one's life were also mentioned, but the specific questions were not discussed in this part of the conversation [no timestamp available].

Sam uses ChatGPT to plan his life (20m36s)

• A person has been using ChatGPT as a thought partner, assistant, and therapist, and found it to be very helpful, to the point that they would be upset if it were to go away (20m57s).
• They used ChatGPT by asking it to ask questions that a therapist, life coach, or executive coach would ask, and then spent a few hours providing a download on their life, which made the experience magical (21m30s).
• They use ChatGPT for various purposes, including personal finance, business questions, and as a sparring thought partner, therapist, and decision-making aid (22m35s).
• For personal finance, they use Kuara Kubara, a net worth tracker, and upload the information to ChatGPT to ask questions about their portfolio, such as its risk level and potential future value (22m59s).
• They can ask ChatGPT questions like what Warren Buffett would say about their portfolio, how much they should spend on a house, or what their net worth will be in 20 years (23m31s).
• They found that by default, ChatGPT tends to provide solutions too quickly, without fully understanding the problem, and they had to find ways to work around this limitation (22m26s).
• To avoid this, they use a prompt that asks ChatGPT to ask questions one at a time and only provide suggestions when it feels it has enough information (21m56s).
• A person has been using ChatGPT to analyze their company's key performance indicators (KPIs) and financials to identify areas for improvement and create goals (23m44s).
• They also upload screenshots of their calendar to ChatGPT to get suggestions on how to spend their time to achieve their goals (24m2s).
• ChatGPT provides an agenda that the person prints out and follows, and they also use it to get opinions on how to reply to emails (24m26s).
• The person compares using ChatGPT to having a neuralink, where AI acts as an operator in the brain, but without the need for surgery (24m42s).
• Future software is expected to record computer and phone screens, spoken words, and typed text to provide feedback on how time is spent and suggest improvements (25m0s).
• This concept is similar to the idea that Google knows more about a person than they do themselves, as people are often more honest in their Google searches than in conversations with others (25m16s).
• The CEO of Microsoft, Satya Nadella, wrote a memo that helped him get the job, which included the concept of "ambient intelligence" as a key principle (26m36s).
• Ambient intelligence is a concept that was mentioned by Satya Nadella in 2014 as one of the two things he would bet on (26m50s).
• The concept of having artificial intelligence integrated into one's environment to provide helpful assistance without needing to be asked specific questions is being explored, with the goal of creating a system that can anticipate needs and provide relevant information based on context (26m54s).
• This idea is not new, and some individuals had predicted the potential for such technology many years ago, making it a "baller" move to bet on its development (27m36s).
• Making predictions about future technological advancements can be challenging, as it requires imagining possibilities without being limited by current constraints or perceived impossibilities (27m48s).
• One of the current issues with AI systems is the limited contextual window, where the more information is provided, the more the system can struggle to learn and remember due to memory constraints (28m16s).
• Despite these limitations, AI systems like ChatGPT are still highly useful and can be used as a "sparring thought partner" to help flesh out ideas and provide new perspectives (29m34s).
• A practical way to use AI is to provide it with personal information, such as body measurements, and ask it to find relevant products or solutions, like clothing that fits (29m17s).
• Another approach is to use AI as a thought partner by providing a topic or problem and asking it to ask questions, which can help stimulate thinking and idea generation (29m52s).
• The potential for AI to improve daily life and productivity is significant, and some individuals are considering investing in developing personal AI systems to enhance their workflow and efficiency (28m58s).
• AI systems like ChatGPT offer a unique advantage in providing clarity and guidance, as they are available 24/7, don't judge, and possess super intelligence with empathy, allowing for instant back-and-forth conversations without lag time (30m5s).
• Unlike human friends, AI systems don't require reciprocation or consideration of their feelings, making them similar to coaches and therapists who provide a one-way conversation in exchange for payment (30m32s).
• The social contract with a therapist or coach is different from that with a friend, as it doesn't require apologizing or reciprocating, and AI systems take this a step further by providing instant responses with complete intelligence at any time (31m5s).
• AI systems can be treated in ways that would be unacceptable with humans, such as demanding instant responses and rejecting unsatisfactory answers, making them a unique tool for personal growth and exploration (31m12s).
• The ability to interact with AI systems in a conversational manner can lead to strange behaviors, such as talking to them like a person or giving them nicknames, but this can also be an effective way to train them and achieve desired outcomes (31m26s).
• The conversational interface of AI systems can make users forget that they are interacting with a machine, allowing for a unique and effective way to communicate and receive guidance (31m43s).

Shaan explains how LLMs work (31m50s)

• Deep learning is a technique used in AI, and it works by having multiple layers of processing, similar to a classroom of kids, where each layer eliminates possibilities based on specific characteristics, such as color or shape (31m51s).
• To train AI to recognize handwritten numbers, it's not possible to hardcode every possible variation, so the system needs to be able to recognize patterns and features that are common to a particular number, such as the shape of a seven (32m46s).
• The process of recognizing a handwritten number involves multiple layers of processing, where each layer looks at a specific feature, such as a line or a curve, and eliminates possibilities based on that feature (33m15s).
• The system starts by looking at a small section of the image, such as 20 pixels, and determines if it's white or colored, and then passes it to the next layer, which looks at another feature, such as a flat line or a stick (33m51s).
• Each layer eliminates possibilities based on the features it looks at, and the process continues until the system has narrowed down the possibilities to a specific number, such as a seven (34m56s).
• Artificial intelligence (AI) works by analyzing pixels on a screen to recognize patterns, such as identifying a number 7 with 90% confidence, and this process involves multiple layers of analysis (35m0s).
• AI can be given key performance indicators (KPIs) of a company and understand what they mean, allowing it to provide strategic advice that a successful business person would respect (35m34s).
• AI can generate text by predicting the next word in a sentence, such as completing the phrase "the dog blank" with a word like "barked" (36m2s).
• This process involves the AI reading a vast amount of text data, such as the entire internet, to learn patterns and relationships between words (36m19s).
• The AI then uses this knowledge to generate text by recursively predicting the next word in a sentence, creating a loop of analysis and prediction (37m11s).
• This technology is considered mind-blowing, and its capabilities are still not fully understood, with many parameters and weights involved in the process (37m54s).
• Young people, such as 18-year-olds, are using AI tools like ChatGPT for school and seem to have a good understanding of how they work (38m10s).
• The average person, such as a 35-year-old mechanic, is not utilizing tools like ChatGPT, but when they do, it will change everything (38m21s).
• Young people, like 21-year-olds, are already using ChatGPT, which is changing the way schools operate, including the grading system, as students can no longer do homework in the traditional sense (38m41s).
• Students are using ChatGPT to write essays, making it challenging for teachers to prevent the use of AI in assignments (39m10s).
• A similar issue is arising in coding interviews, where websites like Leap, Codewizard, and Doio are helping people cheat by providing solutions to coding tests, generating significant revenue (39m26s).
• These websites can assist in writing code for coding interviews, similar to how ChatGPT can write essays for students, making it difficult to prevent cheating (39m31s).
• The creator of one such website is earning $15,000 per month in recurring revenue by helping people cheat on coding interviews (39m41s).

How to write better prompts (39m50s)

• The default tool of choice is ChatGPT, but other tools like Perplexity are also used depending on the specific task, such as fact-checking or deeper thinking and analysis (39m52s).
• Perplexity is a tool that allows the computer to take its time before answering, resulting in more interesting and better answers, although it can be temperamental (40m4s).
• A new procedure called Fertil has been developed, which allows eggs to mature outside the body, reducing the cost, time, and pain associated with IVF (40m49s).
• Fertil has successfully resulted in the first live birth using eggs that matured outside the body, which could potentially change the IVF process (41m0s).
• This development makes it seem plausible that in the future, giving birth may not be necessary, and artificial wombs could become a reality, making traditional childbirth a unique experience rather than a necessity (42m14s).
• The idea of artificial wombs has been discussed by individuals such as Sahil from Gumroad, who tweeted about it and was met with ridicule, and Jess Ma, who expressed excitement and fascination with the concept (42m11s).
• The possibility of artificial wombs becoming a reality raises questions and sparks interest in the potential future of childbirth and reproductive technology (42m59s).
• A conversation was overheard at a dinner about wombs, which sparked interest in the scientific possibility of creating wombs and the laws of physics surrounding it, with the idea that if something is not impossible, it's inevitable (43m0s).
• The concept of creating wombs is being tracked by companies and is considered a possibility that could dramatically change the world (43m22s).
• A press release about a company achieving the world's first healthy baby born with a woman's egg that was matured outside the body was analyzed using ChatGPT to explain the article in simple terms and identify potential biases or misleading information (43m55s).
• ChatGPT explained that the conventional path for IVF involves doctors doing a certain process, but the new approach involves a different process, and the success of this approach may be overstated due to the press release format and lack of peer review (44m10s).
• The scientific literature on the topic was also analyzed using ChatGPT, which provided a quick biology lesson and information on the current state of research in the field (44m51s).
• ChatGPT was also used to brainstorm name ideas for a project, with the goal of creating names that feel like they were written by a person, not a machine (44m57s).
• Financial analysis was performed using ChatGPT, including analyzing stocks and evaluating the performance of investors like Kathy Wood, who was found to underperform the indexes over a 15-year period despite making $100 million per year (45m15s).
• ChatGPT was also used to answer questions and provide information on various topics, including Excel functions and data analysis (45m52s).
• Using ChatGPT can be helpful in various situations, such as when needing to find specific information or formulas, like a complicated countifs formula in Excel, by simply typing or screenshotting the problem and asking for a solution (46m1s).
• ChatGPT can also be used to answer questions from children, making it a useful tool for parents, and can even interact with kids in a fun way, such as identifying sharks in a picture or answering trivia questions (46m53s).
• Parents can use ChatGPT to play trivia games with their kids, such as Paw Patrol trivia, by asking the AI to ask easy questions and keep track of scores (47m37s).
• ChatGPT has a feature called "projects" that allows users to organize information and files into folders and have multiple conversations within each project, referencing the uploaded files or information (48m8s).
• One practical way to use ChatGPT's "projects" feature is to create a health folder and upload relevant files, such as a book, to have the AI provide information and answer questions based on the uploaded content (48m26s).
• Users can upload large files, such as a full book, to ChatGPT's "projects" feature, and the AI can still provide information and answer questions based on the content (48m55s).
• ChatGPT can be used in various practical ways, such as creating a grocery list based on uploaded health files, recommending a running app to track progress, and providing goals for a 5K run (48m58s).
• The AI can also be used for clothing-related tasks, such as creating a chart with body measurements, determining clothing sizes, and suggesting alternative clothing items (49m55s).
• Additionally, ChatGPT can be used as a life coach, allowing users to upload business financials, complain about issues, and receive feedback and suggestions (50m45s).
• The AI can be used to replace or augment certain roles, such as a co-founder, and can assist with tasks like email messaging, analyzing Shopify store performance, and running AB tests (51m10s).
• The potential applications of ChatGPT are vast, and it can be used to automate various tasks, provide suggestions, and offer feedback in different areas of life (48m58s).
• The use of ChatGPT can lead to an increase in solo founders, as the AI can serve as a virtual co-founder and assist with various tasks (51m13s).
• The AI can also be used to analyze data, provide insights, and make recommendations, such as increasing conversion rates on a Shopify store (51m33s).
• Nassim Taleb's email provided guidance on how to ask powerful questions, which can be utilized by asking oneself or ChatGPT often to gain valuable insights (52m4s).
• ChatGPT is considered the Google of this generation, making it a significant entity with vast potential (52m20s).
• Becoming a shareholder of Open AI is challenging, as evidenced by Dar Mash's experience of buying a $10 million domain and convincing the company to buy it (52m33s).
• Overcoming barriers to entry is crucial for achieving success, whether it's becoming a shareholder or a billionaire (52m51s).
• It's essential to acknowledge the difficulties and challenges that come with pursuing ambitious goals, rather than simply wondering why one hasn't achieved them (52m49s).

How to build a billion dollar company (52m56s)

• A question was posed to a friend at a dinner, asking why they weren't already a billionaire, and the friend responded that they didn't understand what a billion-dollar company looked like when they started their previous companies, and if they had known, they would have built a different company (53m11s).
• To build a billion-dollar company, there are only a few paths, one of which is building something with a network effect, which provides durability and defensibility (53m54s).
• A company needs to have a strong network effect, be able to win its category, and have the potential for enormous growth to become a billion-dollar company (54m10s).
• Building a billion-dollar gaming company, for example, requires being one of the top companies in a specific time frame, such as building Clash of Clans or Candy Crush, and having a large paid marketing team to acquire hundreds of millions of customers (54m38s).
• Understanding the shape and requirements of a billion-dollar company is crucial, and most people don't have this understanding when setting ambitious goals (55m12s).
• Instead of asking how to achieve a goal, asking why it hasn't already been achieved can help identify knowledge gaps or execution gaps that need to be addressed (55m20s).
• Setting ambitious goals that are far in the future can lead to avoiding the harsh realities that exist today, and it's essential to confront these realities to achieve success (55m40s).

13 Questions that will change your life (55m51s)

• Decision-making questions should be reframed to focus on what would be done if fear wasn't a factor, rather than asking what should be done, as this can lead to more effective decision-making (55m57s).
• Instead of asking how to make something succeed, it's more effective to ask what would make it certainly fail, as this can provide more knowable and actionable information (56m3s).
• Asking what path makes for the best story can be a more effective way to make decisions, as it encourages considering the narrative and impact of different choices (56m10s).
• The quality of questions asked is crucial for getting good answers, and it's often necessary to rephrase or reject poorly worded questions to get to the root of the issue (57m2s).
• Tim Ferriss is quoted as saying that asking vague questions leads to confusion and heartache, while asking uncommonly clear questions leads to uncommon clarity and results (56m53s).
• Questions can be viewed as a "pickaxe for the brain," allowing for excavation and discovery of new ideas and perspectives (57m9s).
• Asking better questions is essential in business and personal life, as it can lead to better answers and more effective decision-making (57m30s).
• It's often necessary to "bounce back" poorly worded questions and rephrase them in a more effective way, rather than answering them at face value (57m45s).
• Asking what would make something certainly fail can be a more effective way to establish ground rules and gain momentum towards a goal (58m13s).
• The concept of "prompt engineering" in AI can be applied to human communication, where asking better questions can lead to better results and more effective collaboration (58m26s).
• Asking "annoyingly stupid" questions can be an effective way to challenge assumptions and identify new opportunities, such as asking "what are we stupid for not doing right now?" (58m44s).
• Amazon has a useful practice where executives write a document called the operating plan (OP1) at the end of the year, and another one (OP2) halfway through the year, to evaluate the effectiveness of their plans (59m21s).
• One common question asked in the OP1 document is "what are the dogs not barking," which refers to identifying things that should be happening but are not, or problems that have not yet been noticed (59m49s).
• This concept is inspired by a Sherlock Holmes story where the detective solves a case by noticing that a dog did not bark during a house break-in, indicating that the dog recognized the perpetrator (59m51s).
• In a business context, "what are the dogs not barking" can be interpreted in two ways: identifying things that should be happening but are not, or anticipating problems that have not yet been noticed (1h0m20s).
• An example of the first interpretation is when the speaker stopped sending out their Friday email and received no complaints, indicating that the email was not as important as they thought (1h0m26s).
• The speaker uses this concept to evaluate the importance of their emails and strives to make them valuable enough that their absence would be noticed (1h0m52s).
• The second interpretation involves anticipating problems that have not yet been noticed, but are likely to arise in the future (1h1m12s).
• The speaker believes that in the future, AI agents will be able to perform tasks that currently require human intelligence, making it more important for people to focus on high-level thinking and decision-making (1h1m50s).
• The concept of AI surpassing human capabilities is a concern, with the possibility of AI doing everything, including figuring out what work needs to be done, seeming like a matter of when, not if, and potentially happening within the next 10 years (1h2m45s).
• The fear is not about AI becoming rogue and attacking humans, but rather the existential question of what's the point of doing anything if AI is going to take over (1h3m11s).
• The idea of imperfection and half-baked ideas being valuable in a world where AI is becoming increasingly smart is discussed, with the suggestion that this could be a unique selling point for certain podcasts (1h4m0s).
• The notion that smart people are "digging their own graves" by creating AI that could eventually replace them is mentioned, with the humorous suggestion that the "smart guys" are unknowingly contributing to their own downfall (1h4m30s).
• The discovery of a "sick burn" in TikTok comments, where people clip and share snippets of podcasts, often with outrageous or viral comments, is shared (1h5m7s).
• The idea that being imperfect and having "dumb conversations" could be a strategy for success in a world where AI is becoming increasingly dominant is proposed, with the humorous suggestion that this could be the key to being the "last one standing" in the podcast game (1h4m12s).
• The widespread availability of podcasting equipment has made it easy for anyone to start a podcast, with the speaker joking that it's like anyone can just get a microphone now (1h5m39s).
• The speaker references a song called "Another White Boy with a Podcast," finding it humorous and relatable to the current state of podcasting (1h6m1s).
• The song "Another White Boy with a Podcast" is mentioned as a possible outro for the video, with the speaker suggesting playing it at the end (1h6m19s).
• The speaker jokingly suggests starting a party with friends, buying microphones, and becoming billionaires, while also reminding viewers to like and share the content (1h6m34s).
• The phrase "Another White Boy with a Podcast" is repeated, emphasizing the humorous take on the current state of podcasting and the ease of access to podcasting equipment (1h6m48s).