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@benni
Ep150 - Walter Isaacson | The Code Breaker: Jennifer Doudna, Gene Editing, and the Future of the Human Race
Recognizing patterns by studying technology and humanities
AI Key Takeaways
- Leonardo was a historical figure who possessed a deep understanding of various subjects, including both humanities and sciences.
- Leonardo's ability to see patterns in the intersection of different disciplines made him highly creative.
- Steve Jobs also emphasized the importance of combining liberal arts and technology in his product presentations.
- People like Leonardo who can recognize patterns across different fields are often the most creative.
@benni
The economic impact of extreme heat
Extreme Heat’s Impact on the Economy
AI Key Takeaways
- Extreme heat affects the economy due to decreased productivity and increased accidents.
- Construction and agriculture industries are most affected by extreme heat.
- Measures to protect workers in extreme heat are limited.
- Accidents increase in extreme heat across various sectors.
@benni
E137: Inflation cools, market rips, Ripple/MSFT beat regulators, NATO summit, cocktails of youth
Are countries joining the NATO an asset or liability for the US?
AI Key Takeaways
- The addition of Finland and Sweden to NATO is seen as a major win for the organization in the west.
- Joining NATO requires the US to defend the countries involved, which some argue is a liability for America.
- NATO expansion benefits the military-industrial complex, as member countries are required to spend 2% of their GDP on defense.
- Interoperability is a key requirement for NATO membership, including using approved weapons and tactics.
@benni
#386 – Marc Andreessen: Future of the Internet, Technology, and AI
The content of the new medium is the old medium
AI Key Takeaways
- The content of each new medium is influenced by the old medium
- Marshall McLuhan's concept applies to various forms of media including movies, theater plays, and written stories
- The internet incorporates all prior forms of media
- AI is considered the next step after the internet in manipulating content
@benni
E134: Ukraine counteroffensive, China tensions, COVID Patient Zero, RFK Jr reaction & more
On shoring of chip production and Ukraine war is moving Taiwan closer to China
AI Key Takeaways
- There is an upcoming election in Taiwan next year
- The pro-China party has a chance of taking power in Taiwan
- The Taiwanese are reconsidering their relationship with the US due to events in Ukraine
- The war between the US and China may have negative consequences for Taiwan
- Taiwan has been reducing its dependence on critical resources from China
- The United States having alternative chip suppliers could impact Taiwan's significance
@benni
E133: Market melt-up, IPO update, AI startups overheat, Reddit revolts & more with Brad Gerstner
Is it financially worth it to be among the first few companies that trains foundation models?
AI Key Takeaways
- Investors must have a deep understanding of how quickly model development and training is accelerating and how quickly the costs are reducing.
- Machine learning is following a greater cost curve than Moore's Law, with a 2x cost reduction every 18 months.
- The investment exercise in AI is difficult due to the uncertainty of market advantage.
- The business model must have an advantage that generates new data providing a persisting advantage.
- It's hard to invest generally in technology due to the uncertainty of the tipping point for the market and technology.
@benni
E133: Market melt-up, IPO update, AI startups overheat, Reddit revolts & more with Brad Gerstner
What comes after search and who will win the race?
AI Key Takeaways
- The $20 trillion question is how the web will be re-architected in the age of AI.
- Google is well positioned to claim the top spot in whatever comes next, but it will have to fight off the cannibalization of core search.
- The conversation around search is increasing in confidence that the top of the funnel is up for grabs and all of those dollars will eventually get redistributed.
- The new UI is not optimizing a webpage or application, but building a conversational UI to optimize the race to intimacy.
- The architecture of the internet will shift from the client server model to where users become servers and gate the access and rental of their data.
- The world is moving past '10 blue links' and the future of search is not information retrieval that looks like a card catalog.
- Individuals will have independent relationships with their service providers for better control and privacy.
- Services will be more additive and controlled by the user. Companies profiteering and maximizing equity for shareholders will eventually lead to user disenchantment.
- General intelligence will solve vertical problems horizontally, and the benefits will be the first time of its kind.
- The chat GPT hi inflection, Reid Hoffman, and others think that there will not be one super agent, but many agents where users can interact with their Zillow or Expedia agent, etc.
@benni
E133: Market melt-up, IPO update, AI startups overheat, Reddit revolts & more with Brad Gerstner
Why Investors are valuing short term gains in the AI industry higher
AI Key Takeaways
- Businesses dependent on services that could be replaced by AI may not have longevity and are currently being hurt
- Different industries will be affected by AI at different rates, with demand for chips being the most obvious and quickly affected
- The discount rate is high currently, leading to speculation and low potential value until the fuzziness clears up, which may take a few years
- Different industries have different time horizons for improvement due to AI, and Brad’s team likely has a board with a list of affected industries and their time horizons
- One way to think about AI’s effect on stocks is by accruing net improvement to earnings over time horizons and applying a discount rate
- It is not everything everywhere all at once.
@benni
Uber CEO Dara Khosrowshahi
How Ubers Marketplace is Self-Regulating itself
AI Key Takeaways
- The marketplace has a counter-cyclicality phenomenon.
- During good economic times, it becomes harder to recruit drivers because of the higher cost of supply.
- During softer economic times, more drivers come into the platform, making ETA and prices cheaper.
- Uni-volumes have accelerated in Q1 by 24% compared to 19% in Q4.
- The invisible hand of the market theory self-regulates the phenomenon.
- This phenomenon is not just a theory, it happens.
@benni
E132: SEC goes after crypto giants, Sequoia splits, LIV/PGA, Messi's deal + LIVE Q&A!
Equity Over Salary: How the Messi Deal will Revolutionize Compensation in Sport
AI Key Takeaways
- Professional athletes should negotiate for equity in addition to salaries
- Messi's deal with InterMiami is unique and allows him to monetize his content creation
- Apple and Adidas are giving Messi a share of revenue to capitalize on his content creation
- The dynamics of sports leagues are changing with labor becoming equity in the equation
- NBA players should negotiate for phantom equity and shadow equity programs
- Adam Silver wants NBA games to be available for free to increase viewership
- The younger generation follows players more than teams
@benni
E132: SEC goes after crypto giants, Sequoia splits, LIV/PGA, Messi's deal + LIVE Q&A!
Should US Investors invest in China in AI and Chips?
AI Key Takeaways
- Geopolitical concerns are making it complicated for Americans to invest in China
- Sequoia is simplifying its life by splitting things up and being out
- The US-China relationship is now seen primarily through a geopolitical lens which is a zero-sum game
- Investing in certain strategic technologies is considered too risky to support China
- VC firms cannot simply take out chips and AI from their investments.
@benni
#383 – Mark Zuckerberg: Future of AI at Meta, Facebook, Instagram, and WhatsApp
Fine-tuning language models using crowdsourcing similar to Wikipedia
AI Key Takeaways
- Collaborative fine-tuning of foundation models using community-driven approach is a compelling idea
- Producing aligned AI models requires more research as much as core intelligence capability of the models themselves
- Wikipedia's success has to do with a small community of editors working well together despite controversial topics and attacks
- Generating truth, knowledge and wisdom in AI models is key to their success.
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