Faster, Please!

Faster, Please! explores the nexus of technological innovation, economic growth, and societal progress, focusing on the optimistic outlook towards future advancements. It examines the role of technology, policy, and culture in addressing challenges like AI development, energy sustainability, global fertility rates, and economic productivity to foster a pro-progress future.

Technological Innovation Economic Growth Societal Progress Artificial Intelligence Sustainability Global Fertility Rates Productivity and Automation Science Fiction and Future Forecasting Policy and Regulation Humanoid Robots Healthcare and Pharmaceuticals Energy Revolution

The hottest Substack posts of Faster, Please!

And their main takeaways
731 implied HN points โ€ข 21 Feb 24
  1. The concept of vibe shift from pessimism to optimism can be seen in societal attitudes towards progress, innovation, and disruptive technologies.
  2. Up Wing thinking focuses on embracing risk, emphasizing technology's role in progress, and supporting entrepreneurial capitalism to drive positive change.
  3. There is growing evidence of an emerging future-optimist vibe shift, especially in social media content, attitudes towards technologies like nuclear energy, and the performance of the stock market.
639 implied HN points โ€ข 23 Feb 24
  1. Health innovations like AI-powered drug discovery and new weight-loss drugs (like Ozempic) can significantly improve health outcomes and lead to longer, better lives.
  2. The economic impact of health innovations can be substantial, positively affecting the economy by increasing labor force participation, reducing absenteeism, and improving overall health leading to potential GDP growth.
  3. Poor health not only affects individuals but also has broader economic implications such as lowering labor force participation, increasing absenteeism, and reducing potential labor force growth due to early death from disease.
91 implied HN points โ€ข 25 Oct 24
  1. People worry that AI will take all the jobs and cause harm, similar to past fears about trade. These worries might lead to backlash against technology.
  2. A tragic case involving a teen's death highlights the potential dangers of AI chatbots, especially for vulnerable users. It's important for companies to take responsibility and ensure safety.
  3. Concerns about AI often come from emotional reactions rather than solid facts. It's crucial to address these fears with thoughtful discussion and better regulations.
548 implied HN points โ€ข 17 Feb 24
  1. The 10th anniversary of 'The Martian' highlights the power of problem-solving and self-sufficiency in driving progress and celebrating human ingenuity.
  2. The 'Star Trek' franchise embodies a pro-progress, risk-embracing philosophy and has made a significant cultural impact, paving the way for technological advancements and careers.
  3. Science fiction stories like 'The Martian' and 'Star Trek' exemplify Up Wing thinking, focusing on individual initiative, resourcefulness, and a positive attitude towards progress.
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456 implied HN points โ€ข 18 Mar 24
  1. Artificial General Intelligence is a concept that doesn't exist yet and may never be achieved, but some experts believe it's coming soon.
  2. AI is viewed as a tool to enhance human capabilities and create new opportunities rather than a threat to job security.
  3. The impact of AI on the economy will depend on whether there is a limit to the complexity of tasks humans can perform.
456 implied HN points โ€ข 08 Mar 24
  1. The Fukushima nuclear meltdown in 2011 led to Japan shutting down nuclear reactors, resulting in unforeseen consequences like higher energy prices, reduced consumption, and increased mortality during cold temperatures.
  2. Following the shutdown, research by economist Matthew Neidell showed how Japan's shift to fossil fuels after the Fukushima incident led to higher bills, reduced energy use, and ultimately increased mortality in cold weather due to lack of climate control.
  3. The debate on nuclear energy often focuses on visible risks like accidents, while downplaying the benefits and comparative safety of nuclear power when weighed against other energy sources like coal or gas.
0 implied HN points โ€ข 27 Nov 24
  1. Big institutions like the Federal Reserve are careful about predicting how AI will change the economy. They tend to be more reserved than tech founders and investors.
  2. AI is improving quickly and has the potential to boost productivity in various sectors, but cautious language is used when discussing these impacts.
  3. It's difficult to measure the specific effects of new technology on productivity, as data can be confusing and change over time.