Loeber on Substack

Loeber on Substack explores the intersection of human behavior, market dynamics, and technological innovation through the lens of AI, software engineering, market trends, and design philosophy. It offers insights on governance, economic strategies, design principles, investment opportunities, and the potential of technology to shape creative industries and communication.

Technology and Innovation Market Dynamics AI and Machine Learning Software Engineering Design and User Experience Economic Policy and Strategy Governance and Ethics Product Development Startup Ecosystem

The hottest Substack posts of Loeber on Substack

And their main takeaways

#25: Nobody's Thinking Enough About AI

325 implied HN points • 09 Feb 25
🕹 Technology AI Software Innovation Automation Policy
  1. AI technology is improving faster than most people realize. Many experts believe we could see advanced AI within a few years.
  2. The rise of AI will change jobs significantly. Many current jobs may disappear, but people might also gain more free time as automation increases.
  3. There isn't enough public discussion about the effects of AI on society. Policymakers need to start addressing these changes now to prepare for the future.

#23: How to Write a Good Pitch Deck

122 implied HN points • 27 Oct 24
💼 Business Entrepreneurship Investment Marketing Startups Finance
  1. A good pitch deck should help the investor easily create an investment memo. This means your deck should be clear and focused on key points.
  2. Always consider what an investment memo looks like, and make sure your pitch deck provides all the necessary information an investor might need to write it.
  3. Try to anticipate and answer common investor questions in your deck. This makes it easier for them to understand your business and advocate for you.

#24: Insurance for AI: Easier Said than Done

40 implied HN points • 04 Nov 24
💼 Business Insurance AI Risk management Technology Entrepreneurship
  1. Insurance for AI risks is a complex topic due to the unpredictable nature of AI outputs, making it hard to find solid coverage options. Businesses want protection from costly mistakes by AI, but actual insurance products may be limited.
  2. The market for existing software error insurance is quite small, which raises questions about how large the market for AI error insurance could be. With many companies not even aware of current insurance options, it's a niche field.
  3. Insurers face challenges in accurately assessing AI risks due to information gaps and the rapid evolution of AI technology. This could lead to difficulties in creating effective insurance policies for AI applications.

#14: Why Europe Fails to Create Wealth

70 HN points • 11 Dec 23
💼 Business Regulation Innovation Production Globalization Economic Growth
  1. The AI Act in Europe is criticized for being ineffective and potentially harmful with its regulations at the application-level.
  2. Europe is identified as having a 'providerism' mindset, focused more on consumption than production.
  3. Europe needs to shift towards innovation, deregulation, and encouraging a production mindset to avoid falling behind economically.
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#10: Why is there no Government-Built Social Media?

31 HN points • 05 Jul 23
🕹 Technology Social media Government Regulation Public Sector Competition
  1. Social media has become politically impactful and is no longer considered just a form of entertainment.
  2. There is a growing need for a reliable government-provided social media platform as private platforms face challenges.
  3. Despite interest and potential feasibility, there is still no government-provided social media platform, sparking questions about its absence.

#16: Notes on Arithmetic in GPT-4

9 HN points • 20 Feb 24
🔬 Science Language Models Machine Learning
  1. GPT-4, while not inherently built for arithmetic, showed surprising accuracy in approximating addition, hinting at some degree of symbolic reasoning within its capabilities.
  2. Accuracy in arithmetic tasks with GPT-4 decreases as the complexity of the task increases, with multiplication showing the most significant drop in accuracy.
  3. A 'dumb Turing Machine' approach can enhance GPT-4's symbolic reasoning capabilities by breaking down tasks into simpler steps, showcasing promising potential for scaling up to more complex symbolic reasoning.

#15: Maybe You Should Invest in Translation

6 HN points • 19 Jan 24
🕹 Technology AI Translation Internet Labor Market Investing
  1. Translation is the next big thing in AI with significant global impact
  2. Advancements in speech-to-text, text-to-speech, and style transfer technologies are converging to revolutionize language translation
  3. Ubiquitous translation will greatly increase global connectivity, impact labor markets, and present investment opportunities in software, hardware, and geographic levels

#3: Commonalities among Founders in Music and Software

5 HN points • 06 Feb 23
  1. Innovation in software and music is heavily influenced by the people behind the projects.
  2. Both music and software creation involve strong creative partnerships and collaboration.
  3. Successful creators in music and technology are deeply passionate, have strong convictions, and impact their industries with innovative work.