e/alpha

Exploring the economic implications of AGI

The hottest Substack posts of e/alpha

And their main takeaways
2 HN points 13 Feb 24
  1. Task-engaged AIs will dominate value creation as they are directly connected to tasks and results, leading to transformative impacts.
  2. The AI value chain will be driven by proprietary data in the long term, with winners initially based on access to compute and R&D talent.
  3. AGI is expected to be monopolistic, commercial, open-access, and affordable, leveling differences and nullifying capital inequality.
0 implied HN points 05 Jan 24
  1. The AI portfolio performance for Q4 2023 was impressive, outperforming the S&P 500 with an IRR of 95%.
  2. Investing in AI chips continues to be a promising choice, but there are concerns about the speed of commercialization and potential pitfalls.
  3. The future of LLMs (Large Language Models) is uncertain, but GPU investments are expected to stay strong until more clarity emerges.
0 implied HN points 04 Jan 24
  1. The focus for Q1 2024 is on companies leveraging AI for content generation, language-based work, and copilots.
  2. Unlimited AI-generated content will make media more engaging and cheaper, benefiting those with strong distribution and low barriers.
  3. LLMs will automate language-focused work like customer support and translation, leading to efficiency gains and potential disruption in the future.
0 implied HN points 21 Sep 23
  1. Investments are high-risk, and it's important to be prepared to potentially lose the money you put in.
  2. The philosophy focuses on long-term goals rather than short-term gains, with a timeframe of 5-10+ years for investments.
  3. There's a belief in the positive impact of Artificial Intelligence, but investments should be mindful of risks and potential impacts on society.
0 implied HN points 04 Oct 23
  1. GPU suppliers are poised for growth due to the increasing demand for AI capabilities, with companies like NVDA and AMD showing promising potential for investment.
  2. Companies like TSM and GOOG have competitive offerings in the AI chip market, but may not be the best fits for immediate allocation due to various factors such as revenue sources and product availability.
  3. Investors are closely watching industry suppliers like ASML and Camtek who play key roles in the AI chip supply chain, indicating potential growth opportunities in these sectors.
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0 implied HN points 25 Sep 23
  1. Investing in AI early can potentially lead to significant financial gains. A $10,000 investment may turn into $1 billion with the growth of advanced AI.
  2. The economic implications of machine intelligence are vast. AI advancements could drastically impact job markets, economic growth rates, and the value chain.
  3. AI investment can be a way to contribute to the future, with the potential to drive economic growth and navigate accelerated technological advancements.
0 implied HN points 12 Oct 23
  1. The unveiling of GPT-4, a human-like general intelligence, did not lead to significant market movements.
  2. People may underestimate the impact of advanced AI like GPT-4 due to its familiarity and gradual effects.
  3. The market's lack of reaction to the advancement of AGI suggests a need for better understanding and preparation for the economic and societal impacts of AI.